1. Introduction
The Taylor–Couette flow (TCF), the fluid flow between two rotating concentric cylinders, has long served as a paradigm to study the routes to chaos and turbulence, via instabilities of its laminar state (circular Couette flow [CCF]) and the resulting sequence of pattern transitions, over the past century (Taylor Reference Taylor1923; Coles Reference Coles1965; Gollub & Swinney Reference Gollub and Swinney1975; Benjamin Reference Benjamin1978a
,
Reference Benjaminb
; Fenstermacher et al. Reference Fenstermacher, Swinney and Gollub1979; Mullin & Benjamin Reference Mullin and Benjamin1980; Donnelly et al. Reference Donnelly, Park, Shaw and Walden1980; Andereck, Liu & Swinney Reference Andereck, Liu and Swinney1986; Takeda Reference Takeda1999; Dubrulle et al. Reference Dubrulle, Dauchot, Daviaud, Longaretti, Richard and Zahn2005; Dutcher & Muller Reference Dutcher and Muller2009; Grossmann et al. Reference Grossmann, Lohse and Sun2016; Mullin et al. Reference Mullin, Heise and Pfister2017; Lueptow et al. Reference Lueptow, Hollerbach and Serre2023; Feldmann et al. Reference Feldmann, Borrero-Echeverry, Burin, Avila and Avila2023). In its simplest configuration, when only the inner cylinder rotates (with its radius
$r_i$
and angular speed
$\omega _i \neq 0$
), it is established that, for an incompressible Newtonian fluid, the base state of CCF bifurcates into a stationary state of Taylor vortex flow (TVF) as the rotation speed of the inner cylinder exceeds a critical value (Taylor Reference Taylor1923). With further increasing the rotational speed, the TVF gives rise to a time-dependent state, called the wavy Taylor vortex (WTV), that later transitions to turbulent Taylor vortex (TTV) with a progressive increase in spatiotemporal complexities (Coles Reference Coles1965; Gollub & Swinney Reference Gollub and Swinney1975; Mullin & Benjamin Reference Mullin and Benjamin1980; Donnelly et al. Reference Donnelly, Park, Shaw and Walden1980; Andereck et al. Reference Andereck, Liu and Swinney1986; Takeda Reference Takeda1999; Dutcher & Muller Reference Dutcher and Muller2009; Grossmann et al. Reference Grossmann, Lohse and Sun2016). The rotation of the outer cylinder (with its radius and angular speed
$r_o$
and
$\omega _o \neq 0$
, respectively) introduces additional complexity to TCF and enrich the pattern transition scenario (Jones Reference Jones1982; Andereck et al. Reference Andereck, Liu and Swinney1986; Hegseth et al. Reference Hegseth, Baxter and Andereck1996; Prigent et al. Reference Prigent, Grégoire, Chaté, Dauchot and van Saarloos2002; Meseguer et al. Reference Meseguer, Mellibovsky, Avila and Marques2009; Heise et al. Reference Heise, Hoffmann, Will, Altmeyer, Abshagen and Pfister2013; Crowley et al. Reference Crowley, Krygier, Borrero-Echeverry, Grigoriev and Schatz2020), with the possibility of (i) subcritical primary bifurcations and (ii) non-axisymmetric primary bifurcating states (such as spiral vortices) depending on the value of the rotation ratio
$\varOmega =\omega _o/\omega _i\lt 0$
.
The addition of neutrally buoyant macroscopic particles in a Newtonian fluid can substantially alter the pattern transition scenario as confirmed in recent studies on suspension TCF (Majji et al. Reference Majji, Banerjee and Morris2018; Ramesh et al. Reference Ramesh, Bharadwaj and Alam2019; Gillissen & Wilson Reference Gillissen and Wilson2019; Baroudi et al. Reference Baroudi, Majji and Morris2020; Ramesh & Alam Reference Ramesh and Alam2020; Dash et al. Reference Dash, Anantharaman and Poelma2020; Kang & Mirbod Reference Kang and Mirbod2021; Moazzen et al. Reference Moazzen, Lacassagne, Thomy and Bahrani2022; Baroudi et al. Reference Baroudi, Majji, Peluso and Morris2023; Kang & Mirbod Reference Kang and Mirbod2023) if the particle volume fraction is large enough (
$\phi \geqslant 0.05$
). While the above studies explored the case of the inner cylinder rotation (
$\varOmega = \omega _o/\omega _i= 0$
), the work in our group (Singh et al. Reference Singh, Ghosh and Alam2022; Alam & Ghosh Reference Alam and Ghosh2023; Ghosh & Alam Reference Ghosh and Alam2024; Alam & Ghosh Reference Alam and Ghosh2025; Ghosh & Alam Reference Ghosh and Alam2025) has also investigated the effects of co- and counter-rotations on pattern transition in suspension TCF. Collectively, these studies demonstrated that the particles exert an overall destabilising effect on the onset of primary instability by lowering the corresponding critical Reynolds number. Further, if the particle volume fraction exceeds a critical threshold of about
$10\,\%$
, certain non-axisymmetric patterns such as the spiral vortex flow (SVF) and ribbons (RIB) (Majji et al. Reference Majji, Banerjee and Morris2018), or the co-existing/mixed states such as TVF + WTV and TVF + SVF (Ramesh et al. Reference Ramesh, Bharadwaj and Alam2019), can emerge as the primary bifurcating state at
$\varOmega =0$
(Baroudi et al. Reference Baroudi, Majji and Morris2020; Ramesh & Alam Reference Ramesh and Alam2020; Moazzen et al. Reference Moazzen, Lacassagne, Thomy and Bahrani2022),
$\varOmega \lt 0$
(Singh et al. Reference Singh, Ghosh and Alam2022) and
$\varOmega \gt 0$
(Ghosh & Alam Reference Ghosh and Alam2024). While the spiral vortices are known to appear as a primary bifurcation state in a particle-free Newtonian fluid (Coles Reference Coles1965; Jones Reference Jones1982; Andereck et al. Reference Andereck, Liu and Swinney1986) under sufficient counter-rotation (
$\varOmega \lt -0.6$
), the ‘particle-induced’ spiral vortices are fundamentally different from their ‘fluid-induced’ counterparts as clarified recently by Ghosh & Alam (Reference Ghosh and Alam2024). The latter work showed that the fluid inertia has negligible effect on the propagation frequency of the particle-induced spirals, while it significantly influences the speed of the fluid-induced spirals (Andereck et al. Reference Andereck, Liu and Swinney1986; Singh et al. Reference Singh, Ghosh and Alam2022) that operate in the counter-rotation regime.
While most of the above-mentioned studies were conducted over a limited range of Reynolds number, the work of Dash et al. (Reference Dash, Anantharaman and Poelma2020) spans a larger range of
${\textit{Re}} \sim O(1000)$
, revealing the transition to turbulence at
$\varOmega = 0$
in a dilute suspension. In addition to identifying a new localised wavy-vortex state, they found that for dilute suspensions (
$\phi \leqslant 0.05$
), the higher-order state transitions, leading to turbulence, remain largely similar to those observed in particle-free Newtonian fluids, with an overall transition sequence of CCF
$\rightarrow$
TVF
$\rightarrow$
WTV
$\rightarrow$
MWV
$\rightarrow$
TTV during ramp-up experiments, although the TTV state was never observed during ramp-down experiments even for the particle-free case; here, MWV denotes modulated wavy vortex state and is characterised by the emergence of a modulation frequency of the dominant wavy vortex frequency. Note that Dash et al. (Reference Dash, Anantharaman and Poelma2020) could detect the MWV state at
$\phi \leqslant 0.1$
and the final state was always a WTV mode at
$\phi \gt 0.1$
. They concluded that the route to chaos is possibly altered in semi-dilute suspensions due to the inhibition of the modulation frequency with increased particle loading that made the MWV state inaccessible at
$\phi \geqslant 0.15$
. The latter finding should be juxtaposed against the well-known Ruelle–Takens route (Ruelle & Takens Reference Ruelle and Takens1971) for which the MWV state acts as a prerequisite subway before the onset of quasi-periodic states (having two incommensurate/modulation frequencies) that subsequently results in a chaotic state. On the other hand, the work of Singh et al. (Reference Singh, Ghosh and Alam2022) on counter-rotating suspension TCF detected the MWV state in moderately dense suspensions (
$\phi \leqslant 0.2$
) over a range of
${\textit{Re}}= O(500)$
at a small counter-rotation ratio (
$\varOmega =-0.5$
).
It must be noted that there is no study on the transition route up-to the state of turbulence in suspension TCF under counter- and co-rotations, except a brief report by us (Alam & Ghosh Reference Alam and Ghosh2025). With a focus to unravel the role of neutrally buoyant, non-colloidal, inertial particles on the route(s) to TTV, which is known to occur at small rotation ratios (Andereck et al. Reference Andereck, Liu and Swinney1986) in pure fluid TCF, the present work explores the effect of small counter-rotation on the transition pathways to turbulence up-to a particle loading of
$\phi = 0.3$
, thus extending the work of Singh et al. (Reference Singh, Ghosh and Alam2022). In our experiments (§ 2), the quasi-periodic states persist for all
$\phi \leqslant 0.3$
, beyond which the flow is expected to transition to a temporally chaotic state that led to two turbulent states: (i) a propagating state of TWV (turbulent wavy vortices) and (ii) the stationary TTV state. A new route to turbulence, via vortex splitting and merging (VSM) within a chaotic state, is identified in the TCF of a Newtonian fluid as discussed in §§ 3.1–3.3. The characteristic features of this new state and the effect of particle loading on it are critically analysed in §§ 3.2.1–3.2.3. From our spectral data, a scaling relation for the propagation frequencies of the TWV mode is obtained in § 3.4. The robustness of the transition pathways to TTV with reference to rotation ratio and exprimental protocols, and a comparison with the recent literature on VSM are briefly discussed in §§ 4.1–4.3. The conclusions are provided in § 5. Additional details are documented in Appendices A–C.
2. Experimental setup and protocol
The details about (i) our experimental setup, (ii) the preparation of suspensions and its rheological characterisation and (iii) the protocols to conduct experiments are almost identical to those in our recent work (Ghosh & Alam Reference Ghosh and Alam2024) to which the readers are referred. A sketch of the overall experimental arrangement is shown in figure 1, with a brief summary of essential items being provided below. Our Taylor–Couette (TC) cell has an aspect ratio of
$\varGamma = h/\delta \approx 8.46$
and a radius ratio of
$\eta = r_i/r_o \approx 0.89$
(where
$h = 16.5$
mm is the height of the inner cylinder and
$\delta = r_o - r_i$
is the gap width with
$r_i = 16$
mm and
$r_o = 17.95$
mm being the radii of the inner and outer cylinders, respectively). The experiments are performed by mounting the TC cell on a Twin-Drive MCR-702 rheometer (Anton Paar GmbH, Austria) that has two motors which rotate the inner and outer cylinders of the TC cell independently by prespecifying the rotation ratio
$\varOmega =\omega _i/\omega _o$
(Singh et al. Reference Singh, Ghosh and Alam2022; Alam & Ghosh Reference Alam and Ghosh2023; Ghosh & Alam Reference Ghosh and Alam2024). The end caps of the TC cell rotate with the outer cylinder.
A density-matched suspension, with a specified particle volume fraction
$\phi$
, is prepared by mixing the desired amount of neutrally buoyant, rigid PMMA microspheres, having a mean diameter
$d_p \approx 50\,{\unicode[Arial]{x03BC}}$
m, in a Newtonian solvent of water, glycerine and amonium thiocyanate (Bailey & Yoda Reference Bailey and Yoda2003; Ramesh et al. Reference Ramesh, Bharadwaj and Alam2019). The measured shear viscosity of the suspension
$\mu (\phi )$
is found to follow the Krieger–Dougherty relation
where
$\mu (0) \approx 7.90$
mPa s is the shear viscosity of the solvent at
$T = 22\,^{\circ}{\rm C}$
,
$\phi _m = 0.585$
is the maximum packing fraction, and
$\mu _r(\phi ) = \mu (\phi )/\mu (0) \geqslant 1$
is the relative viscosity of the suspension (Guazzelli & Pouliquen Reference Guazzelli and Pouliquen2018).
Sketch of the TC set up (a), mounted on the Anton-Paar Rheometer MCR-702 (b), along with the arrangement of the light-source and two cameras. While the DSLR camera (Nikon D750) is used to capture continuous images at a frame rate of 60 s
$^{-1}$
, the high-speed camera (Phantom v9) operates at regular intervals over a time-duration of about
$11$
s in each shot but a higher frame rate of
$200$
s
$^{-1}$
.

2.1. Experimental procedure
For specified
$(\varOmega , \phi )$
, the ‘up-sweep’ (US) run consists of a ramp-up protocol where the rotation frequency is increased quasi-statically from
$f = f_{\textit{min}} \sim 0$
to
$f = f_{\textit{max}} = \max \{f_i, f_o\} = 50$
Hz. No separate ‘down-sweep’ (DS) run, starting from
$f=f_{max }$
to reach
$f_{\textit{min}}$
, was performed, but several experiments (with
$\phi =0, 0.15$
and
$0.3$
) were repeated with a ‘up–down-sweep’ (UDS) protocol in which the DS run was followed by an US run. For the UDS run, a ramp-down protocol is followed by decreasing the rotation frequency from
$f = f_{\textit{max}}$
to
$f_{\textit{min}}$
after maintaining the rotation frequency constant at
$f = f_{\textit{max}}$
over an extended period of
$600$
s post the US run; the influence of this waiting time-window on the final TTV state is discussed in § 4.2. For all experiments, the ramping rate is taken to be
where
${\textit{Re}}_i(\phi ) = \rho r_i \omega _i \delta /\mu (\phi )$
and
${\textit{Re}}_o(\phi ) = \rho r_o \omega _o \delta /\mu (\phi )$
refer to the inner and outer Reynolds numbers, respectively, and
$\tau _{vis}(\phi ) = \rho \delta ^2/\mu (\phi )$
is the viscous diffusion time. The additional factor,
$\mu _r(\phi )$
, in the denominator of (2.2) takes care of the fact that the suspension experiments are carried out at a progressively slower ramping rate with increasing particle loadings (Alam & Ghosh Reference Alam and Ghosh2023; Ghosh & Alam Reference Ghosh and Alam2024). Note further that, during the US and DS runs, the rotation frequency is increased and decreased in steps by keeping it constant over a period of
$10$
seconds to ensure the stability of various flow states. This
$10$
s time-window corresponds to approximately
$17\tau _{vis}$
for the particle-free (
$\phi =0$
) Newtonian fluid, while the same stands for about
$ 70 \tau _{vis}$
at
$\phi = 0.3$
, thus allowing more time for the suspension to relax to a stable state with increasing
$\phi$
.
Explored range of Reynolds and Stokes numbers at a rotation ratio of
$\varOmega =\omega _o/\omega _i=-0.35$
;
${\textit{Re}}_s^{cr}$
refers to the shear Reynolds number (3.1) at the onset of primary bifurcation during the US run (see figure 6).

Table 1. Long description
A table with 6 rows and 4 columns. The columns are labeled Particle volume fraction phi, Shear Reynolds number (3.1), Particle Reynolds number (2.3), and Stokes number (2.4). The table presents the explored range of Reynolds and Stokes numbers at a rotation ratio. Row 1: phi 0, Shear Reynolds number (201.1, 2093.0), Particle Reynolds number (0.128, 1.335), Stokes number Rep/18. Row 2: phi 0.05, Shear Reynolds number (203.5, 1786.3), Particle Reynolds number (0.127, 1.116), Stokes number Rep/18. Row 3: phi 0.10, Shear Reynolds number (177.1, 1440.3), Particle Reynolds number (0.113, 0.917), Stokes number Rep/18. Row 4: phi 0.15, Shear Reynolds number (169.0, 1157.3), Particle Reynolds number (0.108, 0.738), Stokes number Rep/18. Row 5: phi 0.20, Shear Reynolds number (163.9, 905.1), Particle Reynolds number (0.104, 0.578), Stokes number Rep/18. Row 6: phi 0.30, Shear Reynolds number (166.4, 513.7), Particle Reynolds number (0.102, 0.317), Stokes number Rep/18.
2.2. Non-Brownian suspensions of inertial particles
The particle Reynolds number is estimated from
with its maximum being
${\textit{Re}}_p^{\textit{max}}\equiv {\textit{Re}}_p(\phi =0)=(1.23, 1.335)$
at
$\varOmega = (-0.25, -0.35)$
; here
$\dot {\gamma }_{\textit{app}}=|\omega _o r_o - \omega _i r_i|/\delta$
is the apparent shear rate across the Couette gap. The particle Stokes number is estimated from
with its maximum being
$\textit{St}_p^{\textit{max}}= (0.068, 0.074)$
at
$\varOmega = (-0.25, -0.35)$
. The corresponding maximum Péclet number is
where
$k_B$
is the Boltzmann constant and
$T = 22 \pm 0.5\, ^{\circ }\text{C}$
is the temperature.
Table 1 provides a summary of flow parameters explored in this study. It is clear that while the working fluid can be treated as a suspension of non-Brownian particles with
$\textit{Pe}_p=O(10^9)$
, the suspension particles are inertial since
${\textit{Re}}_p = O(1)$
over the range of bulk Reynolds numbers, from its neutral stability threshold to its maximum explored value. Therefore, the effect of particle inertia on our reported results on pattern transitions cannot be ignored.
2.3. Image analysis
A small amount (
$\lt 0.1\,\%$
) of anisotropic mica flakes is added to the suspension for flow visualisation, with the TC cell being illuminated using three
$41$
W LED panels. While a Nikon (D750 DSLR) camera is used to capture continuous video images of surface flow patterns at a frame rate of
$60$
s
$^{-1}$
, the high-speed imaging at a frame rate of
$200$
s
$^{-1}$
utilising a Phantom v
$9$
(DANTEC DYNAMICS) CMOS camera is done to capture high-frequency modes. Further, the torque exerted by the fluid, measured at the inner cylinder by the upper motor of the rheometer, is stored by the RheoCompass software on a desktop computer.
The captured images, along with the torque data, are then analysed to extract information on various state transitions leading towards turbulence. Unless mentioned explicitly, the frequency maps presented in §§ 3 and 4 have been constructed by analysing video images captured by the high-speed camera at 200 frames per second. Appendix A provides details about the methodology for the spectral analyses of video images, and the limitations of the image analysis to resolve high- and low-frequency modes are discussed in Appendix A.1.
3. Transition pathways to TTV state
We have carried out experiments at three values of
$\varOmega = (-0.35, -0.25, -0.001)$
at particle volume fractions of
$\phi = (0, 0.05, 0.1, 0.15, 0.2, 0.3)$
over the maximum possible values of the shear Reynolds number,
as permitted in our experimental setup (with
$f_{max }= 50$
Hz). Note that the maximum range of
${\textit{Re}}_s(\phi )$
decreases with increasing
$\phi$
(table 1) and
$\varOmega$
in the present setup (Singh et al. Reference Singh, Ghosh and Alam2022; Alam & Ghosh Reference Alam and Ghosh2023; Ghosh & Alam Reference Ghosh and Alam2024). While we could reach the TTV state at
$\varOmega =(-0.35, -0.25)$
, only up-to the prechaotic state (MWV) can be reached at
$\varOmega = -0.001$
(Ghosh & Alam Reference Ghosh and Alam2024). In the following, a detailed analysis of the transition pathways to turbulence at
$\varOmega = -0.35$
is presented in §§ 3.1–3.3, and its differences and similarities with the transition routes at
$\varOmega =-0.25$
are briefly discussed in § 4.1.
(a,c) Space-
${\textit{Re}}_s(\phi )$
diagrams and (b,d) the normalised frequency maps (
$\omega /\omega _i$
,
${\textit{Re}}_s(\phi )$
) for (a,b)
$\phi = 0$
and (c,d)
$\phi = 0.15$
during US run at a counter-rotation ratio of
$\varOmega =\omega _o/\omega _i = -0.35$
. The filled blue circles in (b,d) represent the frequency of the wavy mode, the orange stars and filled-green triangles denote its primary and secondary modulation (incommensurate) frequencies, respectively, and the crosses stand for corresponding harmonics. The filled green and magenta circles in (d) denote the frequencies of the RIB and SVF states, while the magenta crosses denote the harmonic of the SVF frequency. The acronyms are: CCF, circular Couette flow; RIB, ribbons; SVF, spiral vortex flow; TVF, Taylor vortex flow; WTV, wavy Taylor vortex; MWV, modulated wavy vortex; and DMWV, ‘doubly’ MWV.

3.1. Prechaotic states and the phase digram of patterns up to turbulence
The pattern transitions at
$\varOmega = -0.35$
, up to the prechaotic states, are shown in figure 2(a–d) during US runs for (a,b) particle-free (
$\phi =0$
) and (c,d) particle-laden (
$\phi =0.15$
) suspensions. While figure 2(a,c) display the space-
${\textit{Re}}_s(\phi )$
diagrams that have been constructed by sequentially stacking a vertical strip of thickness 1 pixel along the height of the TC cell as the shear Reynolds number is increased during quasi-static ramping, figure 2(b,d) shows the corresponding frequency maps
$\omega /\omega _i$
versus
${\textit{Re}}_s(\phi )$
. For the particle-free (
$\phi =0$
) case in figure 2(a,b), it is clear that with increasing
${\textit{Re}}_s$
, the CCF first gives birth to the stationary TVF that subsequently bifurcates into time-dependent flow state WTV, characterised by a single temporal frequency, marked by the filled blue circles in figure 2(b). The overall transition sequence of primary and secondary bifurcations (CCF
$\rightarrow$
TVF
$\rightarrow$
WTV) in figure 2(a,b) look qualitatively similar to those at
$\varOmega = -0.25$
(and also at
$\varOmega =-0.5$
as reported by Singh et al. (Reference Singh, Ghosh and Alam2022)) and holds for dilute suspensions (
$\phi \leqslant 0.05$
) over the present explored range of counter-rotation ratio
$-0.35\leqslant \varOmega \leqslant 0$
. The discussions on tertiary and quaternary bifurcations from the WTV state is deferred to § 3.1.1.
Note that the number of vortices/rolls in each states of TVF/WTV/MWV is marked in figure 2(b,d) which indicate abrupt changes in the number of rolls at WTV
$\rightarrow$
MWV transitions. The related issue of the transition between different number of roll states, i.e. ‘multiroll’ transtions (Benjamin Reference Benjamin1978a
,Reference Benjamin
b
; Mullin et al. Reference Mullin, Heise and Pfister2017), was discussed for suspension TCF in our recent work (Singh et al. Reference Singh, Ghosh and Alam2022) and will not be pursued here. In present experiments, all captured images (see, for example, figures 2, 3 and 4
a,c) show only a part of the TC cell
$z/\delta \in (0,7)$
since its top part
$z/\delta \in (7,8.5)$
is fitted with a perspex lid/end cap that blocks images of a pair of rolls/vortices adjacent to the top end plate. Therefore, including the missing pair, the number of rolls in figure 2(a,c) should be increased by
$2$
, i.e. (
$n+2$
)-rolls states, that cover the whole axial span of the TC cell
$z/\delta \in (0,8.5)$
. This point must be noted for all displayed images that are discussed in the rest of this paper.
RIB and SVF (or up-propagating/left-handed spiral) states at (a,b)
${\textit{Re}}_s=173.5$
and (c,d)
${\textit{Re}}_s=181.35$
for
$\phi =0.15$
, with other parameters as in figure 2(c,d). The red up and down triangles in (b,d) refer to the rotational frequencies (and their integer multiples) of the outer and inner cylinders, respectively. The displayed time window on the right of (a,c) refers to a time period of
$4 s\approx 12.6 \tau _{vis}(\phi )$
, where
$\tau _{vis}(\phi )=\rho \delta ^2/\mu (\phi )$
is the viscous time scale.

For a semi-dilute suspension with a particle volume fraction of
$\phi = 0.15$
in figure 2(c,d), the RIB and SVF states are born from the CCF state as the primary instability mode; this is confirmed from the space-
${\textit{Re}}_s(\phi )$
diagram and the frequency map in figures 2(c) and 2(d), respectively, at
$\varOmega =-0.35$
. The snapshots, time evolutions and the spectral contents of the RIB and SVF states can be ascertained from figures 3(a,b) and 3(c,d), respectively. Recall that both RIB and SVF represent ‘non-axisymmetric’ time-dependent states, and were originally discovered by Majji et al. (Reference Majji, Banerjee and Morris2018), later confirmed by Ramesh et al. (Reference Ramesh, Bharadwaj and Alam2019), in the context of suspension TCF with pure inner cylinder rotation (
$\varOmega =0$
). Note that the RIB state results from the interaction between up- and down-propagating (left- and right-handed) spirals, and represents an axially stationary, azimuthally rotating wave; hence, the RIB is also referred to as the ‘rotating standing wave’ (RSW), having a chequerboard-type pattern (Chossat & Iooss Reference Chossat and Iooss1994; Majji et al. Reference Majji, Banerjee and Morris2018; Ramesh & Alam Reference Ramesh and Alam2020; Singh et al. Reference Singh, Ghosh and Alam2022) as in the right panel of figure 3(a). Therefore, the dominant peak at
$\omega _{\textit{RIB}}/\omega _i \approx 0.12$
in figure 3(b) represents the azimuthal propagation frequency of the RIB.
Our recent work (Ghosh & Alam Reference Ghosh and Alam2024) showed that the dominant frequencies of RIB and SVF states appearing in the co-rotation regime (
$\varOmega \geqslant 0$
) of suspension TCF can be vastly different. This difference persists in the counter-rotation regime too; for example,
$\omega _{\textit{RIB}}/\omega _i \approx 0.12$
and
$\omega _{\textit{SVF}}/\omega _i \approx 0.35$
in figure 3(b,d); note that these frequencies, in terms of the effective rotation rate
$\omega _{sh}=|\omega _i-\omega _o/\eta |$
, are given by
The latter value in (3.2) agrees well with those reported (i)
$\omega _{\textit{SVF}}/\omega _{sh}\approx 0.5$
by Majji et al. (Reference Majji, Banerjee and Morris2018) and (ii)
$\omega _{\textit{SVF}}/\omega _{sh}\approx 0.45$
by Ramesh et al. (Reference Ramesh, Bharadwaj and Alam2019) for the case of pure inner-cylinder rotation (
$\varOmega =0=\omega _o$
). In addition, we verified that the normalised frequencies of RIB and SVF states are nearly independent of
${\textit{Re}}_s(0) = {\textit{Re}}_s(\phi )\mu _r(\phi )$
(and, hence, not affected by fluid inertia) at
$\varOmega =-0.35$
, a signature of ‘particle-induced’ spiral patterns (Ghosh & Alam Reference Ghosh and Alam2024). The latter finding is in contrast to ‘fluid-induced’ spirals (that appear in the strongly counter-rotation regime of TCF, Andereck et al. (Reference Andereck, Liu and Swinney1986)) whose propagation frequency depends on the fluid inertia and is known to decrease with increasing
${\textit{Re}}_s$
(Andereck et al. Reference Andereck, Liu and Swinney1986; Singh et al. Reference Singh, Ghosh and Alam2022).
When the particle loading is increased to
$\phi = 0.3$
, only the SVF state shows up as the primary bifurcating state during both US and DS runs, see figure 4. Collectively, figures 2(c,d) and 4(a–d) indicate that, although the particle loading modifies the nature of the primary instability mode beyond a critical value of
$\phi \approx 0.1$
, the subsequent pattern transitions from the RIB/SVF state, SVF/RIB
$\leftrightarrow$
TVF
$\leftrightarrow$
WTV, remain qualitatively similar to the particle-free (
$\phi =0$
) case as in figure 2(a,b). We conclude that for small values of counter-rotation ratio
$\varOmega \geqslant -0.35$
, the primary bifurcation from the CCF results in non-axisymmetric travelling waves (RIB/SVF), via a Hopf bifurcation, for semi-dilute suspensions (
$\phi \geqslant 0.1$
), however, the first bifurcation of CCF
$\to$
TVF, via a pitchfork bifurcation, holds for dilute suspensions (
$\phi \leqslant 0.05$
).
3.1.1. Relative periodic orbits (MWV) and quasi-periodic states (DMWV)
The WTV states are, in fact, rotating waves (Gollub & Swinney Reference Gollub and Swinney1975; Andereck et al. Reference Andereck, Liu and Swinney1986; Chossat & Iooss Reference Chossat and Iooss1994) that rotate along the azimuthal direction with a finite speed (
$v_\theta = f_w\lambda _\theta$
, where
$\lambda _\theta$
is the azimuthal wavelength of wavy vortices); they do not represent truly periodic solutions but are categorised as ‘relative equilibria’ (Krupa Reference Krupa1990; Cvitanović et al. Reference Cvitanović, Artuso, Mainieri, Tanner and Vattay2015; Feldmann et al. Reference Feldmann, Borrero-Echeverry, Burin, Avila and Avila2023). Referring to figures 2 and 4, with increasing Reynolds number, the WTV gives birth to MWV (Gorman, Swinney & Rand Reference Gorman, Swinney and Rand1981; Gorman & Swinney Reference Gorman and Swinney1982; Coughlin & Marcus Reference Coughlin and Marcus1992; Takeda Reference Takeda1999) that is characterised by a modulation (incommensurate) frequency (
$f_*$
, QP
$_1$
) of its dominant wavy vortex frequency
$f_w$
(such that the frequency ratio
$f_w/f_*$
is an irrational number). In dynamical systems theory (Cvitanović et al. Reference Cvitanović, Artuso, Mainieri, Tanner and Vattay2015), the MWV states are classified as ‘relative periodic orbits’ (Wulff et al. Reference Wulff, Lamb and Melbourne2001) since they represent periodic orbits when viewed from a reference frame moving with the speed of the rotating WTV mode. With further increase in
${\textit{Re}}_s$
, the MWV gives birth to a state, having a secondary modulation frequency (
$f_2$
, QP
$_2$
). The latter state with two incommensurate frequencies (QP
$_1$
and QP
$_2$
;
$f_*/f_2 \neq {\mathcal N}$
) represents a truly ‘quasi-periodic’ state (Andereck et al. Reference Andereck, Liu and Swinney1986; Coughlin et al. Reference Coughlin, Markus, Tagg and Swinnney1991; Chossat & Iooss Reference Chossat and Iooss1994; Altmeyer et al. Reference Altmeyer, Do, Marques and Lopez2012; Cvitanović et al. Reference Cvitanović, Artuso, Mainieri, Tanner and Vattay2015; Feldmann et al. Reference Feldmann, Borrero-Echeverry, Burin, Avila and Avila2023).
Snapshot and power spectra, depicting WTV
$\to$
MWV
$\to$
DMWV transition, with increasing
${\textit{Re}}_s$
over
$467.66\leqslant {\textit{Re}}_s\leqslant 678.43$
for particle-free (
$\phi =0$
) TCF at
$\varOmega =-0.35$
. Markers/symbols in each spectra carry the same meaning as in figure 2(b,d).

The spectral signatures of the above transition process towards a quasi-periodic state (characterised by two incommensurate frequencies) can be ascertained from figure 5 that displays (i) the snapshots (upper panels) and (ii) the power spectra (lower panels) at different values of
${\textit{Re}}_s$
for the particle-free (
$\phi =0$
) TCF; other parameters are as in figure 2(a,b). While figure 5(a) represents a WTV state, with its wavy vortex frequency (
$f_w$
) being marked by a filled-blue circle, the remaining panels figure 5(b–f) contain one/two modulation frequencies of the underlying wavy mode
$f_w$
. The primary and secondary modulation/incommensurate frequencies are marked by stars (
$f_*$
) and filled-green triangles (
$f_2$
), respectively, in figure 5(b–d). It is seen that the energy content of the
$f_*$
-mode increases with increasing
${\textit{Re}}_s$
and can exceed that of
$f_w$
, see figure 5(b,c,d). Clearly, each power spectrum in figure 5(b,c,d) represents a relative periodic orbit (Cvitanović et al. Reference Cvitanović, Artuso, Mainieri, Tanner and Vattay2015), with
$f_*$
being the modulation frequency of the wavy vortex mode, and hence the resulting state is called MWV (Gorman & Swinney Reference Gorman and Swinney1982; Coughlin & Marcus Reference Coughlin and Marcus1992; Takeda Reference Takeda1999). A second modulation frequency
$f_2$
appears in the PSD with further increasing
${\textit{Re}}_s$
, see figure 5(e, f), and the energy contents of
$f_*$
- and
$f_2$
-modes increase and decrease, respectively, in the same limit. These quasi-periodic states, having two incommensurate frequencies, will henceforth be referred to as ‘doubly’ modulated wavy vortex (DMWV) in the present paper.
The spectral data, such as those from figure 5(a–f), have been used to generate the frequency maps in figures 2(b) and 2(d), marking the phase-boundary between MWV and DMWV states. Note in figure 2 that the two-frequency quasi-periodic state persists over a large range of
${\textit{Re}}_s$
at
$\phi =0$
(figure 2
b) and
$\phi =0.15$
(figure 2
d). During a successive US and DS run at the highest particle loading of
$\phi =0.3$
(figure 4
a,b), the quasi-periodic DMWV state was identified only during the DS run, see figure 4(d) at
${\textit{Re}}_s\sim 350$
.
3.1.2. Phase diagram of patterns up to turbulence
For shear Reynolds numbers beyond the MWV/DMWV states, the TCF admits chaotic wavy vortex (CWV), TWV and TTV states that are summarised in figure 6 as phase diagrams on (a) (
$\phi$
-
${\textit{Re}}_s(\phi )$
) and (b) (
$\phi$
-
${\textit{Re}}_s(0)$
) planes at
$\varOmega = -0.35$
. It is seen that the RIB appears as the primary bifurcating state for
$0.1 \leqslant \phi \leqslant 0.2$
during the US run only and ceases to exist during the DS run as confirmed at
$\phi = 0.15$
, indicating a hysteretic nature of the primary instability. Overall, the primary bifurcation in suspension TCF leads to a non-axisymmetric propagating mode, CCF
$\leftrightarrow$
RIB/SVF, if the particle loading is
$\phi \geqslant 0.1$
and this bifurcation appears to be hysteretic. The secondary and tertiary bifurcating states are (i) a stationary TVF and (ii) a propagating WTV, respectively, with latter giving birth to a MWV state, characterised by a single incommensurate frequency, before quasi-periodic motion sets in.
Figure 6(a) illustrates that the overall effect of particle loading on various state transitions up to the TTV state is to decrease the onset values of
${\textit{Re}}_s(\phi )$
at which the respective bifurcations take place. This confirms the destabilising role of particles at the onset of both prechaotic (CCF
$\to$
RIB/SVF
$\to$
TVF
$\to$
WTV
$\to$
MWV
$\to$
DMWV) and postchaotic (DMWV
$\to$
CWV
$\to$
TWV
$\to$
TTV) flow states at
$\varOmega = -0.35$
. The transition from the MWV/DMWV states to a chaotic state (CWV) is discussed in § 3.2 and that from CWV to turbulent states (TWV and TTV) in § 3.3.
Phase diagrams of patterns on (a)
$(\phi , {\textit{Re}}_s(\phi ))$
and (b)
$(\phi , {\textit{Re}}_s(0))$
planes at
$\varOmega = -0.35$
. The empty and filled markers represent the data for US and DS runs, respectively. The hatched regions (horizontal and vertical lines) present the parameter space where VSM is observed within the CWV (horizontal lines) and TWV (vertical lines with yellow shading) states. The cross-hatched orange-shaded region contains modes with two incommensurate frequencies, representing ‘quasi-periodic’ state of DMWV. The lower-order states are defined in figure 2; other acronyms refer to TWV and TTV states.

3.2. Transition to chaos and the VSM phenomenon
The development of a chaotic flow state at
$\varOmega = -0.35$
, beyond MWV/DMWV, involves complex spatiotemporal dynamics as we demonstrate here. A new phenomenon of the splitting and merging of vortices in the background of a chaotic state is identified which occurs over a large range of (
${\textit{Re}}_s, \phi$
) as marked by the hatched regions in figure 6. The dynamical signatures of this new transition, the characteristics of the underlying chaos and the role of particles on them are discussed in §§ 3.2.1–3.2.3.
Transition from quasi-periodic to chaotic states in particle-free (
$\phi =0$
) TCF during US runs at
$\varOmega =-0.35$
. Each subpanel consists of a space–time plot (top panel) and its power spectra (bottom panel), with parameter values of (a,b)
${\textit{Re}}_s = 653.63$
(DMWV, quasi-periodic), (c,d)
${\textit{Re}}_s = 728.0$
(VSM + CWV, chaotic) and (e, f)
${\textit{Re}}_s = 930.1$
(VSM + CWV, chaotic). The red down and up triangles in bottom panels mark the frequencies of the inner (
$f_{\boldsymbol{\nabla }}$
) and outer (
$f_{\Delta }$
) cylinders, respectively, and their harmonics. The filled-blue circle (
$f_w$
) is the frequency of the wavy vortex mode, while the blue cross in panel
$b$
denotes its harmonic; the orange star (
$f_*$
, i.e. QP
$_1$
), the filled-green triangle (
$f_2$
, i.e. QP
$_2$
) and the filled-magenta square (
$f_3$
, i.e. QP
$_3$
) in (b,d) denote primary, secondary and tertiary modulation frequencies, respectively, of the wavy mode
$f_w$
.

Snapshots depicting the transition among different numbers of vortices (rolls) during VSM events for a particle-free (
$\phi =0$
) Newtonian fluid at
${\textit{Re}}_s = 728.0$
during the US run at
$\varOmega = -0.35$
. The brighter and darker bands in each image represent ‘outflow’ (i.e. the radial flow is directed towards the outer cylinder) and ‘inflow’ (i.e. the radial flow is directed towards the inner cylinder) jets, respectively, and the centreline of each dark/bright band approximately marks the boundary between two counter-rotating wavy-Taylor vortices. For example, the band numbers (
$1, 3, 5$
) in (
$a$
) are accompanied by six counter-rotating vortices/rolls and hence (
$a$
) represents a six-rolls state. A supplementary movie 1 is available at https://doi.org/10.1017/jfm.2026.12184.

3.2.1. VSM in particle-free TCF and the spectral characterisation of VSM + CWV state
For the particle-free (
$\phi =0$
) TCF, the space–time plot for a DMWV state at
${\textit{Re}}_s = 653.6$
is shown in figure 7(a) and its power spectrum in figure 7(b) reveals the presence of three frequency peaks
$f_w$
,
$f_*$
(QP
$_1$
) and
$f_2$
(QP
$_2$
), with the later two representing the primary and secondary, respectively, modulation/incommensurate frequencies of the wavy mode
$f_w$
. Therefore, according to the definition in § 3.1.1, figure 7(a,b) represents a truly quasi-periodic state. Being in a quasi-periodic (QP
$_1$
+QP
$_2$
) state implies that the flow is close a chaotic state that ideally requires the presence of three (QP
$_1$
, QP
$_2$
and QP
$_3$
) incommensurate frequencies (Ruelle & Takens Reference Ruelle and Takens1971), although the tertiary modulation frequency (i.e. a 3-tori solution (Altmeyer et al. Reference Altmeyer, Do, Marques and Lopez2012)) is likely unstable and, hence, difficult to realise in experiments.
With further increasing
${\textit{Re}}_s$
, we find the first evidence of chaos at
${\textit{Re}}_s = 728.0$
, see figure 7(c,d). Indeed, the power spectrum in figure 7(d) contains three incommensurate frequencies, marked by
$f_*$
(QP
$_1$
),
$f_2$
(QP
$_2$
) and
$f_3$
(QP
$_3$
), in addition to the wavy vortex frequency at
$f_w$
(marked by a filled-blue circle). The corresponding space–time plot in figure 7(c) reveals that this chaotic state is associated with repeated splitting and merging of vortices/rolls where the roll adjacent to the bottom boundary first splits and then the roll-merging takes place around the mid-height of the TC cell: we designate this state as ‘VSM + CWV’. Interestingly, the tail of the spectrum beyond
$f_w$
in figure 7(d) decays gradually with increasing
$\omega$
. The latter signature makes the PSD of ‘VSM + CWV’ different from the CWV state (Takeda Reference Takeda1999; Dutcher & Muller Reference Dutcher and Muller2009); the spectral characteristics of the pure CWV state are discussed in § 3.3.
The dynamics of VSM at
${\textit{Re}}_s = 728.0$
, involving transitions among different numbers of vortices over time, is depicted in figure 8(a–f) via snapshots. In each panel, the brighter and darker bands denote ‘outflow’ (i.e. the radial flow is directed towards the outer cylinder) and ‘inflow’ (i.e. the radial flow is directed towards the inner cylinder) jets, respectively, with each band representing a pair of counter-rotating vortices/rolls; for example, the band numbers (
$1, 3, 5$
) in panel (
$a$
) are accompanied by six counter-rotating vortices/rolls and, hence, figure 8(a) represents a six-rolls state. While the top panels in figure 8 illustrates the roll-splitting event at three instants, the bottom panels in figure 8 portrays the roll-merging event at three instants following the roll-splitting event. From figure 8(a–c), we find that during the roll-splitting event the roll adjacent to the bottom boundary of a six-rolls state (figure 8
a) splits in two successions to produce an ‘abnormal’ (Benjamin Reference Benjamin1978a
,
Reference Benjaminb
) seven-rolls state (figure 8
b) and a eight-rolls state (figure 8
c), respectively. A pair of adjacent vortices of the eight-rolls state, located at the mid-height of the TC cell, then merges together to form an interim seven-rolls state (figure 8
d) which eventually transitions back to a six-rolls state (figure 8
e, f) through another merging event. Note that the number of rolls remains unchanged before and after the VSM event (figure 8
a, f). The disappearance of rolls around the mid-height of the TC cell, following a roll-merging event, results in a ‘pitchfork’ shape in the space–time plot (see figure 7
c,e) that allows us to identify the VSM events exclusively from the space–time diagrams.
While the VSM event is triggered by the splitting of bottom boundary roll in figure 7(c,d), we also observed VSM driven by the splitting of top boundary roll that occurs randomly at
${\textit{Re}}_s \geqslant 825$
. For example, figure 7(e, f) depicts the dynamics of VSM at
${\textit{Re}}_s = 930.1$
that involves the splitting of top and bottom boundary rolls alternately. Note that the frequency of VSM events increases with increasing
${\textit{Re}}_s$
which is confirmed by comparing the space–time plots in figures 7(c) and 7(e). The corresponding power-spectrum in figure 7(f) is found to be devoid of any modulation frequency, with a broader, shallower peak of the underlying wavy mode compared with the chaotic state at
${\textit{Re}}_s = 728.0$
(figure 7
d). The increased frequency of VSM events at
${\textit{Re}}_s=930.1$
is likely responsible for the disappearance of quasi-periodic modulations of the underlying CWV in figure 7(f). The tails of both PSDs in figure 7(d, f) show a gradual decay with increasing frequency at
$f\gt f_w$
: this is the main spectral characteristic feature of the VSM + CWV state.
Same as figure 7, but for
$\phi = 0.15$
, depicting the transition from MWV to DMWV to chaotic states. The parameter values are (a,b)
${\textit{Re}}_s(\phi ) = 449.5$
(MWV, with its modulation frequency at
$f_*$
), (c,d)
${\textit{Re}}_s(\phi ) = 584.1$
(quasi-periodic DMWV, with two incommensurate frequencies at
$f_*$
(QP
$_1$
) and
$f_2$
(QP
$_2$
)) and (e, f)
${\textit{Re}}_s(\phi ) = 606.5$
(VSM + CWV, chaotic). Different symbols in (b,d, f) carry the same meaning as those in figure 7.

VSM events for a suspension with
$\phi =0.15$
at
${\textit{Re}}_s(\phi ) = 606.5$
and
$\varOmega = -0.35$
. In (a), the numbers (
$1, 3, 5$
) and (
$2,4$
) refer to outflow (i.e. the radial flow is directed towards the outer cylinder) and inflow (i.e. the radial flow is directed towards the inner cylinder) jets, respectively. Other details are same as in fgure 8.

3.2.2. Role of particles on VSM and another variant of CWV: CWV
$_B$
Recall from the phase diagrams in figure 6 that the VSM events within the CWV state persists in suspension TCF up to a particle loading of
$\phi \leqslant 0.2$
at
$\varOmega = -0.35$
. The transition sequence from the MWV state to VSM + CWV is depicted in figure 9 for a suspension with
$\phi =0.15$
. Figure 9(a,b) at
${\textit{Re}}_s(\phi ) = 449.5$
represents a MWV state for which the modulation frequency, marked by an orange star (
$f_*$
, i.e. QP
$_1$
), is visible from its power spectra in figure 9(b); at a higher value of
${\textit{Re}}_s(\phi ) = 584.1$
in figure 9(c,d), we find a ‘two-frequency’ DMWV state for which the second incommensurate frequency is marked by the filled-green triangle (
$f_2$
, i.e. QP
$_2$
) in figure 9(d). The presence of primary (
$f_*$
) and secondary (
$f_2$
) modulation/incommensurate frequencies in figure 9(d) signals that the flow is close to a chaotic state.
The first appearance of VSM at
$\phi = 0.15$
is found at
${\textit{Re}}_s(\phi ) \approx 606.5$
, see figure 9(e, f). Two VSM events can be identified from the ‘pitchfork shape’ regions present in the space–time plot in figure 9(e), while its power spectrum is shown in figure 9(f). The latter contains a broad shallow peak along with a gradually decaying tail at
$f\gt f_w$
– these spectral features are identical to those of the particle-free case in figure 7(
$f$
), and therefore figure 9(e, f) indeed represents a chaotic state of VSM + CWV. The dynamics of VSM processes at
$\phi = 0.15$
can be ascertained from figure 10 at
${\textit{Re}}_s(\phi ) = 606.5$
: the dynamical events, involving transitions among different numbers of vortices over time, are found to be similar to that at
$\phi = 0$
(figure 8). With further increasing
${\textit{Re}}_s(\phi )$
, we find that the frequency of VSM increases, similar to the particle-free case, and the corresponding power spectra (not shown) is characterised by a broader and shallower peak against the noisier background with a decaying tail.
Same as figure 9, but for
$\phi = 0.2$
, depicting the transition from CWV
$_B$
to VSM + CWV. The parameter values are (a,b)
${\textit{Re}}_s(\phi ) = 518.42$
(CWV
$_B$
), (c,d)
${\textit{Re}}_s(\phi ) = 563.2$
(CWV
$_B$
) and (e, f)
${\textit{Re}}_s(\phi ) = 633.15$
(VSM + CWV). Symbols, marking different frequency peaks in panels (b,d,f), carry the same meaning as those in figure 7.

Recall from figure 6 that the VSM occurs after the flow transitions to a chaotic state at
$\phi =0.2$
and was not observed at
$\phi = 0.3$
within the explored range of
${\textit{Re}}_s(\phi )$
(with
$f_{\textit{max}} = 50$
Hz). To check if there are differences between two chaotic states with and without VSM events, we show the space–time plot and its power spectrum in figures 11(a,b), 11(c,d) and 11(e, f) that refer to
${\textit{Re}}_s(\phi ) = 518.42$
(without VSM),
$563.2$
(without VSM) and
$633.15$
(with VSM), respectively, at
$\phi =0.2$
. The power spectra in figures 11(b,d) contain a weak, broad, low-frequency mode, marked by
$B$
in each panel, whereas the power-spectra in figure 11(f) looks similar to that for the VSM + CWV state at
$\phi \leqslant 0.15$
(figures 7
f and 9
f).
The appearance of a low-intensity broad peak seems to be a robust feature in present experiments of suspension TCF with
$\phi \geqslant 0.2$
; for example, it persists at a higher particle loading of
$\phi =0.3$
too, see figures 12(a,b) and 12(c,d) that represent US and DS runs, respectively, at the same value of
${\textit{Re}}_s(\phi )\approx 450$
. The power spectra in figures 12(b) and 12(d) are characterised by the presence of a low-frequency broad mode
$B$
. This spectral signature is similar to the chaotic vortices discovered by Gollub & Swinney (Reference Gollub and Swinney1975) and Fenstermacher et al. (Reference Fenstermacher, Swinney and Gollub1979) in the context of the particle-free TCF with pure inner-cylinder rotation (
$\varOmega =0$
). Therefore, following Gollub & Swinney (Reference Gollub and Swinney1975) and Fenstermacher et al. (Reference Fenstermacher, Swinney and Gollub1979), we mark the latter state as ‘CWV
$_B$
’ which is spectrally distinct from the CWV state induced by the VSM (i.e. VSM + CWV). Note that the transition CWV
$_B$
$\rightarrow$
VSM + CWV at
$\phi = 0.2$
takes place with a gradual disappearance of the low-frequency
$B$
mode over
$518.0\leqslant {\textit{Re}}_s(\phi ) \lt 565.4$
beyond which the VSM emerges, leading to a ‘VSM + CWV’ state (such as in figure 11(f)).
The low-intensity broad peak ‘
$B$
’ in the CWV
$_B$
state suggests that the associated chaos is deterministic and is low-dimensional in nature (Brandstäter et al. Reference Brandstäter, Swift, Swinney, Wolf, Farmer, Jen and Crutchfield1983; Brandstäter & Swinney Reference Brandstäter and Swinney1987). While both CWV and CWV
$_B$
can be classified as temporally chaotic states that maintain spatial coherence, the spectrum of the VSM + CWV state fits the description of spatiotemporal chaos (Cross & Hohenberg Reference Cross and Hohenberg1994; Feldmann et al. Reference Feldmann, Borrero-Echeverry, Burin, Avila and Avila2023).
(a,c) Snapshots (left panel) and space–time diagrams (right panel) and (b,d) power spectra, depicting spectral characteristics of CWV
$_B$
during (a,b) US and (c,d) DS runs at
$\phi = 0.3$
and
$\varOmega =-0.35$
; other parameters are (a,b)
${\textit{Re}}_s(\phi ) = 450.5$
and (c,d)
${\textit{Re}}_s(\phi ) = 449.7$
. The displayed time-window on the right of (a,c) refers to a time-period of
$1s \approx 7.1\tau _{vis}(\phi )$
. Symbols, marking different frequency peaks in (b,d), carry the same meaning as those in figure 7.

(a) Locations of VSM events as functions of
${\textit{Re}}_s$
near the top plate (upper vertical lines) and lower-plate (lower lines) during an up-sweep-run at
$\phi =0$
. (b) The probability density function (PDF) of the normalised interevent time (IET)
$\Delta t^{\textit{VSM}} = \Delta t/t_{sh}$
between successive VSM events, where
$t_{sh} = \tau _{vis}/{\textit{Re}}_s(\phi )$
is the shear time scale. In the main panel,
$P$
and
$S$
denote the primary and secondary peaks of the PDF, respectively; the inset in (b) is an enlarged view of the secondary peak S.

3.2.3. Characterisation of VSM events and the nature of VSM-induced chaos
As clarified in § 3.2.1, the splitting of vortices was found to be initiated near the top and bottom end plates, followed by the merging of vortices around centre of the TC cell; these VSM events have been identified from the continuous space–time diagram captured through the DSLR camera. The successive temporal locations (at different values of
$t\to {\textit{Re}}_s$
) of VSM events during an US run at
$\phi =0$
are marked by the vertical lines in figure 13(a); the upper and lower lines, respectively, refer to VSM events originating from the top and bottom plates.
From the space–time diagrams such as in figure 13(a), we estimated the interevent time (IET; i.e. the time between two successive VSM events)
$\Delta t$
. Note that the time window over which one VSM event takes place is very small compared with the IET,
$\Delta t$
, between two consecutive VSM events. The PDF of the normalised IET,
being the shear time scale, is displayed in figure 13(b) for
$\phi \in (0,0.2)$
. It is seen that the PDF of IET is skew-symmetric and multimodal that features a primary or dominant peak (P) at
$\Delta t_P^{\textit{VSM}} \approx 4000$
for all
$\phi$
during US and DS runs. Figure 13(b) also reveals the presence of a secondary peak (S, see the enlarged view in the inset) at
$\Delta t_S^{\textit{VSM}}\in (20\,000, 30\,000)$
whose time scale is an order of magnitude larger than the primary one for all
$\phi$
. The multimodal nature of the PDF suggests that the VSM is a multiscale phenomenon, with the most VSM events occurring around a primary (fast) time scale
$\Delta t_P^{\textit{VSM}}$
, while fewer events take place over a secondary (slower) time scale
$\Delta t_S^{\textit{VSM}}$
.
Looking at the effect of particle loading on IET in figure 13(b), we find that the intensity of
$\Delta t_P^{\textit{VSM}}$
increases with increasing particle loading upto
$\phi = 0.15$
, implying the occurrence of more VSM events over the primary time scale; however, there is a decline in the intensity of the P peak at
$\phi = 0.2$
, indicating that a further higher particle loading beyond
$\phi \gt 0.15$
reduces the number of VSM events. Interestingly, the location of the P peak (
$\Delta t_P$
) is almost independent of the particle loading. On the other hand, the overall effect of particle loading on the secondary time scale
$\Delta t_S^{\textit{VSM}}$
(see the inset of figure 13
b) is to decrease in its intensity (implying fewer events), with a shift towards higher values of
$\Delta t_S$
. The latter findings imply that the secondary VSM events occurs over a longer time scale and becomes more infrequent with increasing particle loading
$\phi$
.
The return maps for IETs are shown in figure 14(a–d) at (a)
$\phi = 0$
, (b,d)
$\phi = 0.15$
, and (c)
$\phi = 0.2$
during (a,b,d) US and (c) DS runs. Note that each marker in figure 14(a–d) stands for a pair
with
$\Delta t_n^{\textit{VSM}}$
and
$\Delta t_{n+1}^{\textit{VSM}}$
being the
$n$
th and
$(n+1)$
th IETs, respectively. While a single cluster in figure 14(c) portrays the existence of the primary time scale
$\Delta t_P^{\textit{VSM}}$
(and the secondary peak S is absent during the DS run at
$\phi = 0.15$
), the multiple clusters in figure 14(a,b,d) reveal the dominance of
$\Delta t_P^{\textit{VSM}}$
over
$\Delta t_S^{\textit{VSM}}$
during the US run. It is also evident from figure 14(a–d) that the VSM events are temporally uncorrelated, implying that the occurrence of a VSM event is independent of the previous event, i.e. IETs follow a Markov process. Furthermore, the shape of the cluster around
$\Delta t_P^{\textit{VSM}}$
in figure 14(a–d) and the corresponding PDF in figure 13(b) resembles that of a skewed Gaussian. Based on these findings, we conclude that the chaos induced by VSM (i.e. the VSM + CWV state) is stochastic rather than deterministic (Shaw Reference Shaw1984).
(a) Space–
${\textit{Re}}_s$
diagram, (b) normalised frequency map and (c) variation of
${\textit{Nu}}_{\omega }$
with
${\textit{Re}}_s$
illustrating the transition to TTV following CWV during the US run at
$(\phi , \varOmega ) = (0, -0.35)$
. While the filled black diamonds in (b) represent the dominant frequency (
$f_{\textit{TWV}}$
) of the TWV state, the filled blue circles represent the frequency of the VSM + CWV state. The grey patches in (b,c) within the ‘VSM + TWV’ region represent VSM-events, while the intervening white patches denote pure TWV modes; see § 3.3 for a detailed characterisation of the VSM + TWV state. The red patch in each panel denotes the range of
${\textit{Re}}_s$
over which the frequency of the TWV mode gradually diminishes with increasing
${\textit{Re}}_s$
(see Appendix B). The dashed lines in each panel mark the approximate boundary between two successive states.

3.3. Postchaotic flow states and the transition to turbulence
The spectral development towards turbulence (Coles Reference Coles1965; Grossmann et al. Reference Grossmann, Lohse and Sun2016) is well documented for the case of pure inner cylinder rotation (
$\varOmega = 0$
) in the context of particle-free Newtonian TCF (Gollub & Swinney Reference Gollub and Swinney1975; Andereck et al. Reference Andereck, Liu and Swinney1986; Takeda Reference Takeda1999; Dutcher & Muller Reference Dutcher and Muller2009) and suspension TCF (Dash et al. Reference Dash, Anantharaman and Poelma2020). At
$\varOmega =0$
, the turbulent state, referred to as TTV (Andereck et al. Reference Andereck, Liu and Swinney1986), comprises Taylor vortices, having small-scale spatiotemporal features in the absence of any large-scale wavy motion.
For present experiments with particle-free Newtonian fluid, the development of turbulent states from the VSM + CWV state is illustrated in figure 15 during an US run. It is seen that the VSM + CWV state exists at
${\textit{Re}}_s \lt 1064$
beyond which the VSM events become irregular due to the emergence of TWV. The intermittent appearance of TWV over
$1064 \leqslant {\textit{Re}}_s \lt 1132.2$
can be discerned from the space–
${\textit{Re}}_s$
diagram and
${\textit{Nu}}_{\omega }{-}{\textit{Re}}_s$
plot displayed in figures 15(a) and 15(c), respectively. The effective Nusselt number
${\textit{Nu}}_\omega$
is defined via (Dubrulle et al. Reference Dubrulle, Dauchot, Daviaud, Longaretti, Richard and Zahn2005; Eckhardt et al. Reference Eckhardt, Grossmann and Lohse2007):
where
$G = \rho {\mathcal T}/(2\pi h \mu (\phi )^2)$
is the dimensionless torque, with
$\mathcal T$
being the dimensional measured torque and
$G_{\textit{lam}} = \eta {\textit{Re}}_s(\phi )/(1-\eta )^2$
is the dimensionless laminar torque for the flow between two infinitely long cylinders. Figure 15(c) indicates that
${\textit{Nu}}_\omega$
varies relatively smoothly with
${\textit{Re}}_s$
in the TWV state, while the same in the VSM + TWV state contains fluctuations. With increasing
${\textit{Re}}_s$
, the fluctuations in
${\textit{Nu}}_{\omega }$
finally disappear at
${\textit{Re}}_s \geqslant 1132.2$
and the pure TWV state is found at
$1132.2 \leqslant {\textit{Re}}_s \leqslant 1230.1$
, see figure 15(c). Therefore, the fluctuations in
${\textit{Nu}}_{\omega }$
in figure 15(c) can be used as a metric to demarcate the boundary (i.e. threshold
${\textit{Re}}_s$
) between VSM + TWV and TWV states.
Snapshots (top left panels), space–time diagrams (top right panels) and power spectra (bottom panels) for different
${\textit{Re}}_s$
at
$(\phi , \varOmega ) = (0, -0.35)$
depicting the transition to TTV from TWV during US run. The parameter values are (a,b)
${\textit{Re}}_s = 1168.15$
(TWV), (c,d)
${\textit{Re}}_s = 1199.15$
(TWV), (e, f)
${\textit{Re}}_s = 1230.15$
(approximate boundary of TWV
$\to$
TTV) and (g,h)
${\textit{Re}}_s = 1354.1$
(TTV). The filled-black diamond in (b,d) marks the dominant frequency of the TWV state; the red down and up triangles in (b,d, f,h) mark the frequencies of the inner (
$f_{\boldsymbol{\nabla }}$
) and outer (
$f_{\Delta }$
) cylinders, respectively, and their harmonics. The displayed time window in each of (a,c,e,g) refers to
$2s\approx 3.5\tau _{vis}(\phi )$
.

The characteristic features of TWV at
${\textit{Re}}_s = 1168.15$
are shown in figure 16(a,b) through a snapshot and a space–time plot (figure 16
a) and the corresponding power spectrum (figure 16
b). While the snapshot in figure 16(a) shows the emergence of small-scale flow structures, its power spectrum in figure 16(b) contains a sharp peak at
$\omega _{\textit{TWV}}/\omega _i \approx 1.29$
(that represents the propagating wavy vortices in the background of turbulence) beyond which the spectra has a ‘flat’, broad tail. Note that the flat, noisy tail of TWV spectra in figure 16(b) distinguishes itself from the gradually ‘decaying’ noisy tail of the VSM + CWV spectra (at
$f\gt f_w$
) such as in figure 7(d, f).
While the power spectra of a pure TWV state, having a sharp peak at
$f_{\textit{TWV}}$
, is shown in figure 16(b), its transition to the TTV state for the particle-free case can be ascertained from figure 16(d, f,h). It is seen that the intensity of
$f_{\textit{TWV}}$
gradually decreases from figure 16(b) with increasing
${\textit{Re}}_s$
, resulting in a low-intensity peak in figure 16(d): this frequency peak becomes a ‘shallower and wider’ peak at
${\textit{Re}}_s=1230.15$
(see figure 16
f) that eventually gets buried inside the featureless, broad noisy spectrum at
${\textit{Re}}_s \approx 1294.6$
, signifying the emergence of the TTV state. The turbulent nature of TTV can be ascertained from increased small-scale structures in the snapshot in figure 16(g) at
${\textit{Re}}_s = 1354.1$
, and its power spectrum in figure 16(h) reveals its spectral characteristics: a flat, featureless, noisy tail for the TTV state. It is clear from figures 16(d) and 16(f) that the TWV
$\rightarrow$
TTV transition occurs over a range of
${\textit{Re}}_s$
over which the height of
$f_{\textit{TWV}}$
(i) gradually decreases, (ii) becomes wider (such that a single peak is not identifiable such as in figure 16(f)) and (iii) eventually gets buried with the noisy tail at
${\textit{Re}}_s \approx 1260$
: this is discussed further in Appendix B. The above range of
${\textit{Re}}_s \in (1200, 1260)$
is marked by a red patch in figure 15(a–c), and the TWV
$\to$
TTV transition is identified with the absence of a ‘sharp’ peak at
${\textit{Re}}_s\approx 1230$
(figure 15
f), marked by a dashed line within the red patch.
(a,d) Space–
${\textit{Re}}_s$
diagrams, (b,e) normalised frequency maps and (c, f)
${\textit{Nu}}_{\omega }$
versus
${\textit{Re}}_s(\phi )$
depicting the transition to TTV during (a–c) US and (d–f) DS runs at
$(\phi , \varOmega ) = (0.15, -0.35)$
. The stars and squares in (b,e) refer to primary (QP
$_1$
) and secondary (QP
$_2$
) modulation (incommensurate) frequencies, respectively; refer to frequency peaks marked by
$f_*$
and
$f_2$
in figure 18(f,h). Other symbols refer to those as in figure 15; the dashed lines in each panel mark the approximate boundary between two successive states. The presence of the first modulation frequency (
$f_*$
) is a key spectral characteristic of the pure CWV state that distinguishes it from the (modulation-free) TWV state.

The analogue of figure 15(a–c) for suspensions with
$\phi = 0.15$
is shown in figure 17(a–c). While the VSM + CWV
$\rightarrow$
CWV
$\rightarrow$
TWV transition is evident from the space–
${\textit{Re}}_s(\phi )$
diagram (figure 17
a) and ‘
${\textit{Nu}}_{\omega }$
versus
${\textit{Re}}_s(\phi )$
’ plot (figure 17
c), the TWV
$\rightarrow$
TTV transition can be ascertained by the absence of
$f_{\textit{TWV}}$
in the frequency map in figure 17(b). However, during the DS run (see figure 17
d–f), we find the reappearance of VSM events at around
${\textit{Re}}_s(\phi )\approx 850$
, indicated by fluctuations in
${\textit{Nu}}_\omega$
in figure 17(f); this results in a transition sequence of VSM + CWV
$\leftarrow$
CWV
$\leftarrow$
VSM + TWV
$\leftarrow$
TWV
$\leftarrow$
TTV. A snapshot, its space–time map over 2 s and the corresponding power spectrum are displayed in figure 18 for (a,b) a pure TWV state (
${\textit{Re}}_s=906.02$
), (c,d) a VSM + TWV state (
${\textit{Re}}_s=849.95$
) and (e, f) a pure CWV state (
${\textit{Re}}_s=821.89$
): they represent the DS run in figure 17(d–f). The vortex merging event is clearly evident in the space-time map of figure 18(c). The signature of the vortex spliting and merging events on the PSD of TWV can be ascertained from a comparison between figures 18(b) and 18(d) – while the former contains at sharp peak at
$f_{\textit{TWV}}$
(marked by a black diamond), figure 18(d) contains a shallow, broad peak, with a gradually ‘decaying’ tail at
$f\gt f_{\textit{TWV}}$
. The latter is, in fact, a key spectral signature of the VSM + CWV state (namely, figures 7
d, f, 9
d, f and 11
f) and, therefore, the interactions of the TWV mode with VSM events lead to a state (VSM + TWV) whose spectral signatures resemble that of the VSM + CWV state.
The spectrum of a TWV state (figure 18
$b$
) differs from that of a pure CWV state (figure 18
$f$
) on one crucial aspect: the latter contains at least one modulation frequency at
$f_*$
(QP
$_1$
, marked by a star symbol in panel figure 18(f)). This distinctive spectral feature is further demonstrated in figure 18(h) that represents a CWV state (
${\textit{Re}}_s=858.9$
) during the US run of figure 17(a–c). The latter spectrum also contains a second modulation (incommensurate) frequency (at
$f_2\gt f_w$
, marked by a green triangle) which was not identified in its DS run (figure 17
e). Possible reasons for not able to resolve all incommensurate frequencies of quasi-periodic/chaotic states could be due to (i) experimental protocols and/or (ii) limitations of image analysis as discussed briefly in Appendix A.1. The spectral distinctions of the pure CWV state, having high- (
$f_2\gt f_w$
) and low-frequency (
$f_*\lt f_w$
) modulations, and its evolution with increasing
${\textit{Re}}_s$
are characterised in detail in Appendix C.
(a,c,e) Snapshots and space–time plots and (b,d, f) the power-spectra for (a,b) a pure TWV state at
${\textit{Re}}_s=906.02$
, (c,d) a ‘VSM + TWV’ state at
${\textit{Re}}_s(\phi )=849.95$
and (e, f) a pure CWV state at
${\textit{Re}}_s=821.89$
during the ‘DS’ run. (g,h) Same as (e, f) for a pure CWV state at
${\textit{Re}}_s=858.9$
during the ‘US’ run. Other parameters are
$\phi =0.15$
and
$\varOmega =-0.35$
as in figure 17. The displayed time window on the right of in each panel (a,c,e,g) refers to
$2s\approx 6.3\tau _{vis}(\phi )$
. The filled-black diamonds in (b,d) mark the azimuthal propagation frequency of the TWV state; in (f,h), the star and filled-magenta squares represent the primary (
$f_*$
) and secondary (
$f_2$
) modulation/incommensurate frequencies, respectively. In (b,d, f,h), the filled-blue circles refer to the frequency
$f_w$
of the wavy vortex mode; the red down and up triangles mark the frequencies of the inner (
$f_{\boldsymbol{\nabla }}$
) and outer (
$f_{\Delta }$
) cylinders, respectively, and their harmonics.

On the whole, irrespective of the particle loading
$\phi \leqslant 0.2$
, we find that the power spectrum of TTV is flat and featureless with a broad noisy tail, and the final transition to TTV is characterised by the disappearance of the dominant frequency
$f_{\textit{TWV}}$
of the TWV state at
$\varOmega =-0.35$
. The latter spectral characteristic is the same as that for the TWV
$\leftrightarrow$
TTV transition in particle-free Newtonian TCF (Takeda Reference Takeda1999; Dutcher & Muller Reference Dutcher and Muller2009) with pure inner-cylinder rotation (
$\varOmega =0$
).
Returning to the phase diagram in figure 6, the parameter space on (
$\phi - {\textit{Re}}_s(\phi )$
) and (
$\phi - {\textit{Re}}_s(0)$
) planes where the VSM
$+$
TWV state exists is marked by the yellow patch regions with vertical lines. The final transition to turbulence (TTV) occurred from (i) the TWV state at
$\phi =(0, 0.1, 0.15, 0.2)$
and (ii) the VSM + TWV state at
$\phi = 0.05$
. However, at
$\phi = 0.3$
, the final state was found to be a chaotic state (CWV
$_B$
as in figure 6) within the maximum explored range of
${\textit{Re}}_s(\phi )$
(with
$f_{max } = 50$
Hz) in our setup, but such higher-order transitions leading to TTV may also occur at
$\phi = 0.3$
if the experiments are carried out over an extended range of
${\textit{Re}}_s$
. In any case, the difference in transition scenarios during US and DS runs in figure 17 indicates that the postchaotic transition to TWV is hysteretic, whereas the onset of TTV appears to be non-hysteretic.
(a) Variation of the normalised propagation frequency (
$\omega _{\textit{TWV}}/\omega _{sh}$
) of TWV at different particle loading and (b) its scaling; here,
$\omega _{sh} = |\omega _i - \omega _o/\eta |$
is the effective rotation rate. Other parameters are
$\phi =0.15$
and
$\varOmega =-0.35$
.

3.4. Frequency of TWV mode and its scaling
The spectral data on the propagation frequency of the TWV state, a precursor to the TTV state, have been extracted from the power spectrum plots, such as in figure 16(b,d), for various
$\phi$
at
$\varOmega =-0.35$
and are plotted as a function of the suspension shear Reynolds number
${\textit{Re}}_s(\phi )$
in figure 19(a); these data have been normalised by the effective rotation rate
$\omega _{sh} = |\omega _i - \omega _o/\eta |$
. It is seen from figure 19(a) that
$\omega _{\textit{TWV}}/\omega _{sh}$
, for each
$\phi$
, decreases with increasing
${\textit{Re}}_s(\phi )$
; note that the data for
$\phi =0.05$
(marked by red triangles) follow closely those for
$\phi =0$
(blue triangles), however, the data for
$\phi \geqslant 0.1$
show noticeable variations. The overall decrease of
$\omega _{\textit{TWV}}/\omega _{sh}$
with increasing
${\textit{Re}}_s(\phi )$
can be attributed to the decrease in the number of azimuthal waves (and eventually degenerating into TTV) as found previously by Fenstermacher et al. (Reference Fenstermacher, Swinney and Gollub1979) for the particle-free case. It is interesting to note that the US and DS frequency data for
$\phi =0.15$
(marked by magenta coloured up and down triangles, respectively) overlap nicely with each other, but show a discontinuous jump at
${\textit{Re}}_s(\phi )\approx 875$
; similar jumps are also observed for the data at
$\phi =0.05$
(red triangles) and
$0.2$
(cyan triangles) in figure 19(a). A likely reason for such jumps in
$\omega _{\textit{TWV}}/\omega _{sh}$
is an abrupt change in the number of azimuthal waves in TWV (although it is difficult to quantify this from images).
Figure 19(b) demonstrates that
$\omega _{\textit{TWV}}/\omega _{sh}$
at different
$\phi$
can be collapsed to obtain a scaling relation of the form,
where
$(\beta _0, \beta _1, \beta _2) \approx (720.11, 0.967, 0.502)$
and
$\mu _r(\phi )=\mu (\phi )/\mu (0)$
is relative viscosity of the suspension. The scaling (3.6) holds over a range of ‘pure-fluid’ shear Reynolds number
${\textit{Re}}_s(0) \in (1100, 1950)$
for
$\phi \leqslant 0.2$
. For the pure-fluid case, the decay of
$\omega _{TWV}$
can be approximated as
${\textit{Re}}_s^{-1}$
, however, there is no prior data to verify this scaling.
4. Discussion: rotation ratio, ramping protocol, TTV and the origin of VSM
Analogue of figure 17 at
$\varOmega =-0.25$
for a suspension with
$\phi =0.15$
: (a,d) space–
${\textit{Re}_s}$
map, (b,e) dominant frequencies
$\omega /\omega _i$
and (c, f) normalised torque
${\textit{Nu}}_\omega$
, depicting the transition (WTV
$\leftrightarrow$
MWV
$\leftrightarrow$
DMWV
$\leftrightarrow$
TWV
$\leftrightarrow$
TTV) during (a–c) US and (d–f) DS runs. While the MWV state contains a single modulation frequency (orange stars in
$b$
,
$e$
) of the wavy vortex mode (blue circles), the quasi-periodic DMWV state contains a secondary modulation frequency (green triangles). The grey-shaded region in (f) represents hysteresis in
${\textit{Nu}}_\omega$
(i.e. torque-hysteresis).

(a) Snapshots and (b) power spectra at different
${\textit{Re}}_s$
, depicting the transition from MWV to TTV states (MWV
$\to$
DMWV
$\to$
TWV
$\to$
TTV) at
$(\phi , \varOmega ) = (0.15, -0.25)$
during the US run. The red down and up triangles in lower panels mark the frequencies of the inner (
$f_{\boldsymbol{\nabla }}$
) and outer (
$f_{\Delta }$
) cylinders, respectively, and their harmonics. Other symbols carry the same meaning as in figure 20(b).

4.1. Role of rotation ratio on transition routes
All results presented in § 3 leading to the TTV state pertain to a rotation ratio of
$\varOmega =-0.35$
. In the present TC setup, while only up to the MWV state was realised at
$\varOmega =-0.001$
(Ghosh & Alam Reference Ghosh and Alam2024), we could access the TTV state at
$\varOmega =-0.25$
– the results for
$\varOmega =-0.25$
are briefly summarised here.
The analogue of figure 17(a–f) at a rotation ratio of
$\varOmega =-0.25$
is shown in figure 20(a–f); the particle volume fraction is set to
$\phi =0.15$
. The snapshots and the power spectra of a few patterned states with increasing
${\textit{Re}}_s(\phi )$
(i.e. the US run) are displayed in figures 21(a) and 21(b), respectively. Two major differences with pattern transitions at
$\varOmega =-0.35$
are as follows: (i) the VSM events and (ii) the CWV are absent at
$\varOmega = -0.25$
. Note in figure 20(b,e) that beyond the WTV (with its propagation frequency
$f_w$
, marked by filled-blue circles), the MWV (having a modulation frequency
$f_*$
, marked by orange stars, see the first panel in figure 21
$b$
) are found over a range of
${\textit{Re}}_s$
that indeed gives birth to a two-frequency ‘quasi-periodic’ state of DMWV, characterised by two incommensurate frequencies
$f_*$
and
$f_2$
, see the second panel in figure 21(
$b$
). The DMWV state persists over a range of
${\textit{Re}}_s$
at
$\varOmega =-0.25$
, see figure 20(b,e).
The spectra in the third panel in figure 21(b), with a dominant peak (marked by a filled diamond) and a featureless, broad tail at
$f\gt f_w$
, looks similar to that in figure 18(b) – this represents a TWV state which persists over a range of
${\textit{Re}}_s$
as seen in figure 20(b,e). In contrast to the
$\varOmega =-0.35$
case (figure 17
b,e), we did not find CWV states at
$\varOmega =-0.25$
. The difference between TWV and CWV states can be appreciated by comparing the third panel in figure 21(b) with figure 18(f,h) that represent pure CWV states, with the latter containing at least one of the two modulation/incommensurate frequencies
$f_*$
and
$f_2$
(i.e. a key spectral signature of the pure CWV state, see Appendix C) in contrast to modulation-frequency-free TWV states.
It is clear from figure 20(b,e) that the flow made a direct transition from TWV to TTV and vice versa. The power spectrum of a TTV state, with a featureless, broad spectrum, is shown in the last panel in figure 21(b): the spectral features look similar to those in figure 16(f,h) that represents a TTV state at
$\varOmega =-0.35$
. The torque response curves in figure 20(c, f) confirm that the ‘TWV
$\leftrightarrow$
TTV’ transition is accompanied by a sharp jump in the dimensionless torque
${\textit{Nu}}_\omega$
during both US and DS runs. The torque-hysteresis, along with the observation that the critical Reynolds number for US (
${\textit{Re}}_{\textit{TWV}}^{\textit{TTV}}$
) and DS (
${\textit{Re}}_{\textit{TTV}}^{\textit{TWV}}$
) runs are different,
confirms the discontinuous nature of ‘TWV
$\leftrightarrow$
TTV’ transition at
$\varOmega =-0.25$
. Overall, the pattern transition route at
$\varOmega =-0.25$
can be summarised as
for
$\phi \geqslant 0.1$
and
$\phi \leqslant 0.05$
, respectively.
4.2. Ramping protocol: robustness of TTV states and transition routes
To check (i) the robustness of the final TTV state and (ii) whether the TTV state follows the same transition route towards its laminar CCF state, the continuous UDS runs were carried out for two values of the particle volume fraction
$\phi =(0.15, 0.3)$
at each
$\varOmega$
, and the remaining cases
$\phi =(0, 0.05, 0.1, 0.2)$
were explored via the US run up to the maximum
${\textit{Re}}_s(\phi )$
(at
$f_{max } = 50$
Hz, resulting in the phase diagram of patterns in figure 6. For the ‘UDS’ ramping protocol as noted in § 2, the system was allowed to relax for 10 min at
$f=f_{max }$
after the completion of the US run, and then the DS run began at the specified ramping rate.
Figures 4 (at
$\phi =0.3$
) and 17 (at
$\phi =0.15$
) confirmed that both the lower-order (up to DMWV state) and higher-order (VSM + CWV to TTV) states are reproduced during UDS runs. In fact, the UDS run for figure 4 was continued up to
${\textit{Re}}_s(\phi )\approx 513$
to access the CWV
$_B$
(figure 12) and all states were reproduced during US and DS runs at
$\phi =0.3$
too. Therefore, we can conclude that the pattern transition routes up to the TTV state and the phase diagram of various patterns in figure 6 are robust findings of the present work and they do not depend on the ramping protocol.
Comparing the torque-evolution curves in figures 17(c) (US) and 17(f) (DS), we find the evidence of hysteresis on the measured torque. This issue is further clarified in figure 22(a) that displays the evolution of the
$\omega$
-Nusselt number
${\textit{Nu}}_\omega$
(3.5) during the waiting period of 600 s for an UDS run at
$\phi =0.15$
and
$\varOmega =-0.35$
. Indeed, the value of
${\textit{Nu}}_\omega$
changes by about
$0.6\,\%$
before it settles to a plateau; it requires about
$1200\tau _{vis}$
(i.e. about 3000 effective rotations, or 6 min) to reach this statistical steady state of TTV. The snapshots, space–time maps and their power spectra at (b,c) the end of the US run, (d,e) the middle of the waiting period and (f,g) the beginning of the DS run are shown in figure 22. The power spectra in three panels (c,e,g) look very similar, with each having a noisy broad tail with an upward slope, representing TTV states. Collectively, these figures suggest that the final TTV state and the pattern transition routes to access it are fairly robust, despite the presence of small (but finite) hysteresis in the measured torque at the inner cylinder. This also substantiates our assertion that a waiting period of 10 min is sufficient for reproducible states, up to the TTV state, during UDS runs in the present TC setup.
Effect of ramping protocol on TTV states at
${\textit{Re}}_s(\phi )\approx 1157.3$
for
$\phi =0.15$
and
$\varOmega =-0.35$
. (a) Temporal evolution of the normalised torque
${\textit{Nu}}_\omega$
, (3.5), during the waiting-time window of 10 min (
$\omega _r=|\omega _i-\omega _o|$
). The snapshot, space–time map and the power spectra in each of (b,c), (d,e) and (f,g) refer to the star, circle and square symbols as marked on the ‘
${\textit{Nu}}_\omega$
versus time’ curve in (a); see § 4.2 for details. The displayed time window in each of (b,d, f) refers to a time period of
$2s\approx 6.3\tau _{vis}(\phi )$
.

The only work that explored the pattern transition route up to turbulence in suspension TCF is that of Dash et al. (Reference Dash, Anantharaman and Poelma2020) with pure inner cylinder rotation (
$\varOmega =0$
). They detected TTV state and other higher-order states (MWV) at
$\phi \leqslant 0.05$
and reported the WTV mode as the final state at
$\phi \in (0.1,0.4)$
. In contrast to the findings of Dash et al. (Reference Dash, Anantharaman and Poelma2020) that the MWV state is largely absent (with WTV being the final state) at
$\phi \gt 0.1$
for
$\varOmega =0$
, our experiments uncovered MWV state for
$\phi \leqslant 0.3$
at
$\varOmega = -0.001$
(Ghosh & Alam Reference Ghosh and Alam2024). One possible reason for observed differences with Dash et al. (Reference Dash, Anantharaman and Poelma2020) is their fast ramping rate that may have missed the slowly relaxing higher-order modes in semi-dilute to moderately dense suspensions. Therefore, choosing an appropriate ramping rate is crucial to track the transition routes to turbulence in suspensions.
4.3. Connection of VSM with related works and its possible origin
In the context of viscoelastic TCF with pure inner-cylinder rotation (
$\varOmega =0$
), Lacassagne et al. (Reference Lacassagne, Cagney, Gillissen and Balabani2020) uncovered a new phenomena of the merging and splitting of vortices (VMS) that originated from the interaction between the TVF state and the axial waves of rotating spiral wave (RSW) that, with increasing
${\textit{Re}}$
, evolved into a chaotic state, called the elastoinertial turbulence (EIT). They confirmed that the fluid’s elasticity is a key factor since the VMS events were activated beyond a threshold value of the elasticity number (
$El$
). This elasticity-driven VMS events were replicated in a recent numerical work by Lopez (Reference Lopez2022). In particular, starting with a Newtonian TVF state as the initial condition, the elasticity number (parametrised via
$El\sim t/{\textit{Re}}$
) was slowly increased that resulted in VMS events, punctuated by transient chaotic states that can be tied to EIT. The connection of both of these works with present findings seems superficial since there is no ready mechanism to create axial waves in a Newtonian TCF.
In present experiments, the VSM (§ 3.2) was found in both Newtonian fluids and suspensions but in the counter-rotation regime of TCF at
$\varOmega =-0.35$
. The first distinction of the present findings of VSM is that it initiates from the quasi-periodic state of MWV (§ 3.2.1), or the CWV
$_B$
state (§ 3.2.2), and lives in a distinct chaotic state (VSM + CWV); the VSM-induced chaos is, in fact, stochastic (§ 3.2.3). In contrast, the merging and splitting events in viscoelastic TCF initiate from the ‘stationary’ TVF state (Lacassagne et al. Reference Lacassagne, Cagney, Gillissen and Balabani2020; Lopez Reference Lopez2022). The second distinction of the present VSM is that, for both particle-free and particle-laden cases, the end-plate-induced eddies (Ekman vortices) (Cole Reference Cole1976; Czarny et al. Reference Czarny, Serre, Bontoux and Lueptow2003) are likely playing a crucial role (along with the rotation ratio
$\varOmega$
) since the initiation of VSM events occurred from the splitting of one of the Ekman vortices near the end plates. This mechanism is clearly different from the elasticity-driven axial waves in viscoelastic TCF and, also, the simulations of Lopez (Reference Lopez2022) are axially periodic and hence devoid of Ekman rolls.
The presently uncovered VSM phenomenon can be tied to‘multiroll’ transitions (Benjamin Reference Benjamin1978a
,
Reference Benjaminb
) within a chaotic state for a ‘finite-height’ TC system as discussed in the following. While the multiroll states, a signature of multistability of the underlying nonlinear system, have been studied extensively in the context of steady TVF (Benjamin Reference Benjamin1978b
; Martinez-Arias et al. Reference Martinez-Arias, Pexinho, Crumeyrolle and Mutabazi2014; Mullin et al. Reference Mullin, Heise and Pfister2017) and a variety of oscillatory states (Mullin & Benjamin Reference Mullin and Benjamin1980) with inner-cylinder rotations, our recent work (Singh et al. Reference Singh, Ghosh and Alam2022) in the counter-rotation regime had uncovered such multiroll transitions in both steady (TVF) and oscillatory (WTV) states of suspension TCF. The present finding of VSM events at the onset of chaos is conceivably tied to a dynamic transition between different number of unstable vortex/roll states (see figures 8 and 10). This assertion can be appreciated from the torque-response curves, such as in figures 15(c) and 17(c, f), that contain fluctuations in effective Nusselt number that are sustained over a band of
${\textit{Nu}}_\omega \in (Nu^u_\omega , Nu^l_\omega )$
within VSM + CWV and VSM + TWV states. Given that a state with a larger number of rolls/vortices transports larger angular momentum flux and vice versa (Martinez-Arias et al. Reference Martinez-Arias, Pexinho, Crumeyrolle and Mutabazi2014; Alam & Ghosh Reference Alam and Ghosh2023), the upper (
${\textit{Nu}}^u_\omega$
) and lower (
${\textit{Nu}}^l_\omega$
) bounds on the measured torque (see figure 15
c) clearly represent different states with
$(n+2)$
and
$n$
rolls, respectively. Being in a chaotic regime, both the
$(n+2)$
- and
$n$
-rolls states are unstable and, hence, the flow switches randomly between two accessible (unstable) roll states via Ekman-vortex-driven splitting of vortices near the two end plates, resulting in observed VSM events. The mechanistic reasons and the optimal conditions for the onset of the splitting of Ekman vortices remains unclear, and should be pursued in a future work. The fact that such multiple flow states can be accessed within a chaotic state is one key finding of our experiments.
5. Summary and conclusions
We have explored the transition route to TTV state for a neutrally buoyant, non-colloidal suspension by conducting experiments in the counter-rotation regime (
$-0.35\leqslant \varOmega \lt 0$
) of TCF, up to a particle volume fraction of
$\phi = 0.3$
. The captured video images together with the torque response have been analysed to gain insights into the spectral routes that run through various transitional flow states, culminating into the final TTV state. While the route to TTV state followed the bifurcation sequence (equations (4.2) and (4.3)) at
$\varOmega =-0.25$
, the higher-order bifurcations starting from the MWV state (characterised by a single modulation frequency QP
$_1$
, i.e. a relative periodic orbit) at
$\varOmega =-0.35$
traversed through the following routes:
at
$\phi \leqslant 0.10$
and
$\phi \geqslant 0.15$
, respectively; the VSM + TWV state was also found at
$\phi =0.15$
during the DS run (between TWV and CWV states; see figure 17
d–f). At the onset of each of the above bifurcations, the shear Reynolds number
${\textit{Re}}_s(\phi )$
is found to decrease with increasing
$\phi$
(figure 6
a), and therefore we conclude that the particle loading has an overall destabilising effect on primary (CCF
$\to$
TVF/SVF), secondary (TVF/SVF
$\to$
WTV/TVF), tertiary (WTV
$\to$
MWV), quaternary (MWV
$\to$
DMWV), quinternary (DMWV
$\to$
CWV/VSM + CWV/TWV) and final (TWV
$\to$
TTV) transitions.
The bifurcation of the MWV state gave birth to a truly ‘quasi-periodic’ state, characterised by two incommensurate/modulation frequencies (QP
$_1$
+ QP
$_2$
), called the DMWV state. This quasi-periodic DMWV state was detected at all particle loadings (
$\phi \leqslant 0.3$
), as marked by the cross-hatched region in the phase diagram in figure 6. The bifurcation of DMWV to a chaotic state (VSM + CWV) was shown to be accompanied by the appearance of three incommensurate (QP
$_1$
+QP
$_2$
+QP
$_3$
) frequencies (figure 7
d) at
$\phi \leqslant 0.15$
, although the third incommensurate frequency (QP
$_3$
), a characteristic of chaotic motion (Ruelle & Takens Reference Ruelle and Takens1971), was found to be difficult to resolve in experiments (Appendix A.1). Overall, our results suggest that the Ruelle–Takens route to chaos (Ruelle & Takens Reference Ruelle and Takens1971; Newhouse, Ruelle & Takens Reference Newhouse, Ruelle and Takens1978),
via a finite number of Hopf bifurcations (HBs), with a quasi-periodic state (DMWV) always preceding the onset of chaotic motion, holds for a suspension TCF in the counter-rotation regime at
$\varOmega =(-0.35,-0.25$
) over a range of particle volume fraction (
$\phi \leqslant 0.3$
).
A new phenomena of VSM was found at
$\varOmega = -0.35$
that makes the transition route spectrally richer. While the VSM led to a spectrally distinct chaotic state (VSM + CWV) at
$\phi \leqslant 0.15$
during both US and DS runs, the VSM occurred only after the flow transitioned to another chaotic state, CWV
$_B$
(having a broad low-frequency mode), at
$\phi = 0.2$
; the VSM was not found at
$\phi =0.3$
within the explored range of
${\textit{Re}}_s(\phi )$
(with
$f_{\textit{max}} = 50$
Hz) for which only the CWV
$_B$
state was observed beyond the DMWV state. The spectral characteristics of the CWV
$_B$
mode was found to be different from those of (i) the pure CWV state and (ii) the VSM + CWV state as detailed in § 3.2 and Appendix C.
The dynamics of VSM involves two separate events: splitting and merging of vortices, both taking place over a short time frame. During the splitting event, the roll adjacent to the top or bottom boundary splits twice in succession, resulting in an increase in the number of rolls. The merging event, which follows the splitting event, then takes place around the mid-height of the TC cell in the respective half (top or bottom), where two rolls coalesce in succession, causing a reduction in the total number of rolls. The analyses of the normalised IETs between two successive VSM events showed that the PDF of IETs is multimodal (having primary and secondary peaks, see figure 13 b, around which the most of the VSM events occurred) and skew-symmetric, both confirming that the VSM is a multiscale phenomenon. The return maps of IETs established that the VSM events are temporally uncorrelated and therefore the chaos induced by VSM (i.e. the VSM + CWV state) can be classified as stochastic rather than deterministic.
The VSM + CWV state transitioned to a (non-stationary) turbulent state, called TWV, with further increasing
${\textit{Re}}_s$
and eventually gave rise to the (statistically steady) TTV state for
$\phi \leqslant 0.2$
at
$\varOmega =-0.35$
, however, the TWV state was reached directly from the DMWV state for
$\phi \leqslant 0.2$
at
$\varOmega =-0.25$
. The TWV state was found to be characterised by a flat power spectrum with a sharp peak which was tied to the presence of large-scale wavy vortices living in the background of small-scale turbulence, with the turbulent state (TTV) being characterised by a flat spectrum with a broad, noisy tail. The VSM events occurred intermittently over a range of
${\textit{Re}}_s(\phi )$
where TWV exists, and the interaction between the TWV state and the VSM events led to a state (‘VSM + TWV’; figure 18
c,d) whose spectral signature (i.e. a decaying tail of the PSD at
$f\gt f_{\textit{TWV}}$
; figure 18
d) was found to be similar to that of the ‘VSM + CWV’ state (figures 9
f and 11
f). We showed that the transition between VSM + CWV and TWV states can also be identified from their torque responses since the torque curve ‘
${\textit{Nu}}_{\omega }$
versus
${\textit{Re}}_s(\phi )$
’ contained fluctuations in
${\textit{Nu}}_{\omega }$
in the former, whereas
${\textit{Nu}}_\omega$
varies relatively smoothly with
${\textit{Re}}_s$
in the TWV state. Based on the analysis in Appendix C, we conclude that the distinction between CWV and TWV states is tied to the presence of at least one modulation frequency in the pure CWV state in contrast to its modulation-frequency-free TWV state.
Finally, we showed that the normalised propagation frequency of TWV decreases with increasing
${\textit{Re}}_s(\phi )$
, and follows a master scaling relation,
$\omega _{\textit{TWV}}/\omega _{sh} = \beta _0 {\textit{Re}}_s(\phi )^{-0.967} \mu _r(\phi )^{-0.465} \sim {\textit{Re}}_s^{-1}\mu _r(\phi )^{-1/2}$
, that holds at
$\phi \leqslant 0.2$
over a large range of
${\textit{Re}}_s(\phi )$
. The vanishing of the TWV frequency was shown to occur gradually with increasing
${\textit{Re}}_s(\phi )$
, culminating into the stationary TTV state at large enough
${\textit{Re}}_s(\phi )$
for all
$\phi \leqslant 0.2$
over a range of counter-rotations
$-0.35\leqslant \varOmega \lt 0$
. The TWV
$\rightarrow$
TTV transition is conceivably tied to transfer of the spectral energy of large-scale propagating wavy vortices to small-scale turbulent motions of the TTV state. The phase-boundary between TTV and TWV states in figure 6 confirmed that the overall effect of particle loading at the onset of TTV is to decrease the critical value of
${\textit{Re}}_s(\phi )$
and, hence, destabilising.
Supplementary movie
Supplementary movie is available at https://doi.org/10.1017/jfm.2026.12184.
Acknowledgements
We are grateful to Anton-Paar India Pvt. Ltd. (Mr D. Das) and Anton-Paar GmbH (Graz, Austria) for lending the Rheometer MCR-702 to carry out these experiments. We sincerely thank an anonymous reviewer whose critical comments helped to identify quasi-periodic (DMWV) states in the present experiments.
Funding
M.G. acknowledges the Science and Engineering Research Board (India) for the Postdoctoral Fellowship (grant no. PDF/2020/000916) during 2021–2022 and continued financial support through JNCASR’s Postdoctoral Fellowship (2023-2024).
Declaration of interests
The authors report no conflict of interest.
Appendix A. Spectral analysis methodology and limitations
In addition to flow visualisation of surface patterns, we have performed spectral analyses of the images (captured by both DSLR and high-speed cameras) to extract frequencies and wavelengths of various time-dependent flow states: the underlying analysis is briefly summarised here. From a time sequence of video images, the space–time diagrams were generated by stacking the vertical lines of one-pixel width at a chosen spatial location. A representative space–time plot over a time window of
$8$
s is shown in figure 23(a) for parameter values of
$(\phi , \varOmega , {\textit{Re}}_s) = (0, -0.35, 467.7)$
: this corresponds to a WTV mode. We first trimmed the space–time diagram along the axis of the cylinders to exclude the effects of top and bottom plates and obtained a cropped space–time plot, marked by the red rectangle in figure 23(a). In fact, this space–time plot is a measure of the scattered light intensity,
where
$N$
denotes the number of successive snapshots. We then performed two-dimensional fast Fourier transform (FFT) of the cropped space–time plot to acquire information on the temporal and spatial frequencies
$\omega$
and
$\kappa$
, respectively – the procedure is similar to that described by Dutcher & Muller (Reference Dutcher and Muller2009). Figure 23(b,c) depicts the plot of the complex modulus of the corresponding two-dimensional FFT
$|\mathcal{F}(\omega , \kappa )|$
. The related one-dimensional temporal spectrum is then determined by averaging
$|\mathcal{F}(\omega , \kappa )|$
over the spatial frequencies: this is shown in figure 23(d) in terms of the average temporal power spectral density (PSD)
$\langle |\mathcal{F}(\omega )|^2 \rangle _{\kappa }$
as a function of the normalised frequency
$\omega /\omega _i$
.
(a) Space–time plot over a time-window of 8 s (
$\approx 13.9 \tau _{vis}$
), (b) complex modulus of
$\mathcal{F}(\omega , \kappa )$
, (c) surface plot of
$|\mathcal{F}(\omega /\omega _i, \kappa )|$
and (d) one-dimensional normalised temporal spectrum at
$(\phi , \varOmega , {\textit{Re}}_s) = (0, -0.35, 467.7)$
. The region lying outside of the red rectangle in (a) is excluded for the computation of two-dimensional FFT. In (c,d), the red up and down triangles refer to the rotational frequencies (and their integer multiples) of the outer and inner cylinders, respectively; the filled blue circle and the crosses refer the dominant frequency of the wavy vortex mode and its harmonics, respectively.

Typical spectral features of the WTV state can be ascertained from its (spatially averaged) temporal power spectra in figure 23(d). The peak marked by the filled-blue circle in figure 23(d) represents the propagation frequency of the wavy vortex mode, with crosses denoting its harmonics. With increasing
${\textit{Re}}_s$
, incommensurate frequencies appear in the spectra, resulting in a MWV state, that subsequently transitions into a chaotic state at further higher values of
${\textit{Re}}_s$
– these issues are discussed in § 3.2.1
The robustness of various spectral peaks in figure 23(d) was checked by separately estimating one-dimensional FFT of the time series of the scattered light intensity
$I(t,z_k)$
at three specific axial locations (
$z_k$
) as marked by square boxes in figure 24(a). The latter refers to an instantaneous image of the same WTV state in figure 23(a); the procedure for FFT analysis is identical to that described in our previous work (Singh et al. Reference Singh, Ghosh and Alam2022). The corresponding PSDs at
$z/\delta = 5.4, 3,2$
and
$1.5$
are displayed in figures 24(b), 24(c) and 24(d), respectively. It is seen that the frequency of the wavy mode
$f_w$
, marked by a filled-blue circle in each panel, remains same in all three panels as expected. Barring minor differences, several other peaks, corresponding to different linear combinations of (
$f_w, f_\Delta , f_{\boldsymbol{\nabla}}$
), are also recovered in all figure 24(b,c,d) as robust features of the underlying wavy vortex pattern.
(a) Snapshot of a WTV state; three square boxes refer to axial locations
$z_k/\delta$
at which the scattered light intensity is captured over a finite time span for FFT analysis. (b-d) Temporal one-dimensional spectrum (over a time window of
$8s\approx 13.9\tau _{vis}$
) at (b)
$z_1/\delta =5.4$
, (b)
$z_2/\delta =3.2$
and (c)
$z_3/\delta =1.5$
. Parameter values are identical to those in figure 23.

A.1. Limitations of image analysis
It should be noted that the DSLR camera (with a maximum frame rate of 60 Hz) is not adequate to resolve high-frequency modes of chaotic/turbulent-like patterns for which the images acquired by the high-speed camera were analysed. Ideally, this high-speed camera, operating at its maximum frame rate (4500 Hz at full resolution), can resolve patterns having frequencies that may differ by several orders of magnitude. However, there is a trade-off in choosing the frame-rate and resolution of the high-speed camera since it can procure images only over a short duration due to its finite-storage capacity. This camera has an internal memory of 4096 MB that allows recording of raw images of resolution
$1080\times 576$
pixels at 200 fps over a time duration of about
$11$
s. Within this short acquisition time window, a maximum of 2200 images can be procured and the FFT analysis was performed over about 1000–1200 images by discarding about 300 frames from the beginning and the end of the acquired image-set.
Within the above limitations, we were able to resolve a range of frequencies, especially the high-frequency peaks of various chaotic states and their harmonics for which the DSLR camera was inadequate. However, the above procedure can still miss certain low-/high-frequency modes if the number of acquired images are not sufficiently large and/or the chosen frame rate as well as the camera resolution are inadequate.
Temporal spectrum (over a time window of
$8s\approx 13.9\tau _{vis}$
) of TTW
$\to$
TTV states at
$1168\leqslant {\textit{Re}}_s\leqslant 1354$
and
$\phi =0$
. Parameter values are the same as in figure 15.

Snapshot and the space–time map over a time window of
$2s\approx 6.3\tau _{vis}$
(upper panels) and the spectra (lower panels) of VSM+CWV
$\to$
CWV
$\to$
TWV states at
$763\leqslant {\textit{Re}}_s\leqslant 887$
and
$\phi =0.15$
. Different symbols in each spectra carry the same meaning as in figure 17(b,e).

Appendix B. Spectral signatures of TWV
$\to$
TTV transition
In figures 15 and 17, a red-patch demarcates the range of
${\textit{Re}}_s$
over which the propagating TWV state transitions into a stationary TTV state. To clarify this gradual transition process, we show a series of power spectra in figure 25(a–f) at different
${\textit{Re}}_s$
with parameter values as in figure 15. The sharp peak, marked by a black diamond in panels (a,b), represents the wavy mode of TWV. This TWV mode degenerates into a broad, shallow peak at
${\textit{Re}}_s=1230$
(panel c) that persists at
${\textit{Re}}_s=1264$
(panel d) but eventually gets buried within the noise at
${\textit{Re}}_s=1294$
(panel
$e$
) and
${\textit{Re}}_s=1364$
(panel
$f$
).
The red region in figure 15 refers to
${\textit{Re}}_s\in (1200, 1264)$
; this range of
${\textit{Re}}_s$
has been identified from figure 25(
$b{,}c{,}d$
) over which the ‘sharp’ peak
$f_{\textit{TWV}}$
gradually transitions into a broad peak and retains its structure. The absence of the sharp peak in panel (c) is considered to be the onset of TWV
$\to$
TTV transition at
${\textit{Re}}_s\approx 1230$
: this is marked by the dashed line within the red patch in figure 15. Similar spectral analyses were carried out at
$\phi =0.15$
to identify the red patch and the ‘TWV
$\to$
TTV’ boundary in figure 17. In all cases, the gradual decrease of the intensity of the spectral peak of the TWV mode with increasing Reynolds number is conceivably tied to the transfer of related kinetic energy of the wavy vortex mode to small-scale fluctuations of the final turbulent (TTV) state.
Same as figure 26, but for
$\phi =0.2$
. For the space-time map in each upper panel, the time-window refers to
$2s\approx 8\tau _{vis}$
.

Figure 27. Long description
Panel A: The space-time map shows a vertical axis labeled z/δ ranging from 0 to 6 and a horizontal axis labeled ω/ωi ranging from 10^-2 to 10^1. The power spectral density (PSD) graph below it has a vertical axis labeled PSD and a horizontal axis labeled ω/ωi. The graph shows a peak at a frequency marked by a blue dot. Panel B: The space-time map shows a vertical axis labeled z/δ ranging from 0 to 6 and a horizontal axis labeled ω/ωi ranging from 10^-2 to 10^1. The PSD graph below it has a vertical axis labeled PSD and a horizontal axis labeled ω/ωi. The graph shows multiple peaks marked by different colored arrows and dots. Panel C: The space-time map shows a vertical axis labeled z/δ ranging from 0 to 6 and a horizontal axis labeled ω/ωi ranging from 10^-2 to 10^1. The PSD graph below it has a vertical axis labeled PSD and a horizontal axis labeled ω/ωi. The graph shows multiple peaks marked by different colored arrows and dots. Panel D: The space-time map shows a vertical axis labeled z/δ ranging from 0 to 6 and a horizontal axis labeled ω/ωi ranging from 10^-2 to 10^1. The PSD graph below it has a vertical axis labeled PSD and a horizontal axis labeled ω/ωi. The graph shows multiple peaks marked by different colored arrows and dots.
Appendix C. Pure CWV state and the VSM+CWV
$\to$
CWV
$\to$
TWV transition
Referring to the phase diagram in figure 6(a,b), we note that while the VSM+CWV state directly transitions to a TWV state with increasing Reynolds number at small particle loadings (
$\phi \leqslant 0.1$
), another chaotic state (a pure CWV, i.e. the CWV without VSM events) appears at higher particle loadings:
This CWV state persists over a window of Reynolds number
${\textit{Re}}_s(\phi )$
beyond which the flow transitions to the TWV state, see figure 17(b,e) at
$\phi =0.15$
. In particular, the pure CWV state is bestowed with two incommensurate frequencies during the US run: (i) a high-frequency modulation (
$f_2\gt f_w$
) and (ii) a low-frequency modulation (
$f_* \lt f_w$
) as marked by the magenta squares and orange stars in figure 17(b), respectively. The evolution of the spectral peaks of the pure CWV mode with increasing
${\textit{Re}}_s$
can be ascertained from the bottom panels of figure 26(a–f); the related snapshots and space–time maps (over 2 s) are displayed in respective upper panels. It is seen that the two incommensurate peaks are the strongest at
${\textit{Re}}_s\approx 808.43$
(panel c), and their heights/intensities weaken with further increasing
${\textit{Re}}_s$
(panel
$e$
) and disappears at
${\textit{Re}}_s\approx 886.95$
, leaving only the dominant wavy peak (marked by a black diamond in panel
$f$
) that represents the azimuthal propagation frequency of the TWV mode.
The above spectral evolution of VSM + CWV
$\to$
CWV
$\to$
TWV transition remains similar at a higher particle loading of
$\phi =0.2$
, see figure 27(a–d); here too, the CWV state is characterised by two incommensurate frequencies (
$f_*$
and
$f_2$
) in addition to the dominant frequency
$f_w$
of the underlying wavy vortex mode such that
$f_* \lt f_w$
and
$f_2\gt f_w$
. Note that the spectrum of the pure CWV state differs from that of the CWV
$_B$
state (that originates directly from the MWV state at
$\phi \geqslant 0.2$
; figure 6) in that the latter contains a broad low-frequency incommensurate peak (figures 11
b,d and 12
b,d). A detailed characterisation of the spatio-temporal structure of the CWV state is left to a future work.
Together with our discussions about CWV and TWV states in § 3.3, we conclude that a key spectral feature of the pure CWV state is the presence of at least one modulation frequency that distinguishes it from the modulation-frequency-free TWV state.




















−1
11
200
−1
Ω=ωo/ωi=−0.35
Rescr
Res(ϕ)
ω/ωi
Res(ϕ)
ϕ=0
ϕ=0.15
Ω=ωo/ωi=−0.35
Res=173.5
Res=181.35
ϕ=0.15
4s≈12.6τvis(ϕ)
τvis(ϕ)=ρδ2/μ(ϕ)
ϕ=0.3
→
→
Res
467.66⩽Res⩽678.43
ϕ=0
Ω=−0.35
(ϕ,Res(ϕ))
(ϕ,Res(0))
Ω=−0.35
ϕ=0
Ω=−0.35
Res=653.63
Res=728.0
Res=930.1
f∇
fΔ
fw
b
f∗
1
f2
2
f3
3
fw
ϕ=0
Res=728.0
Ω=−0.35
1,3,5
a
a
ϕ=0.15
Res(ϕ)=449.5
f∗
Res(ϕ)=584.1
f∗
1
f2
2
Res(ϕ)=606.5
ϕ=0.15
Res(ϕ)=606.5
Ω=−0.35
1,3,5
2,4
ϕ=0.2
B
Res(ϕ)=518.42
B
Res(ϕ)=563.2
B
Res(ϕ)=633.15
B
ϕ=0.3
Ω=−0.35
Res(ϕ)=450.5
Res(ϕ)=449.7
1s≈7.1τvis(ϕ)
Res
ϕ=0
ΔtVSM=Δt/tsh
tsh=τvis/Res(ϕ)
P
S
ϕ=0
0.15
0.2
ϕ=0.15
Res
Nuω
Res
(ϕ,Ω)=(0,−0.35)
fTWV
Res
Res
Res
(ϕ,Ω)=(0,−0.35)
Res=1168.15
Res=1199.15
Res=1230.15
→
Res=1354.1
f∇
fΔ
2s≈3.5τvis(ϕ)
Res
Nuω
Res(ϕ)
(ϕ,Ω)=(0.15,−0.35)
1
2
f∗
f2
f∗
Res=906.02
Res(ϕ)=849.95
Res=821.89
Res=858.9
ϕ=0.15
Ω=−0.35
2s≈6.3τvis(ϕ)
f∗
f2
fw
f∇
fΔ
ωTWV/ωsh
ωsh=|ωi−ωo/η|
ϕ=0.15
Ω=−0.35
Ω=−0.25
ϕ=0.15
Res
ω/ωi
Nuω
↔
↔
↔
↔
b
e
Nuω
Res
→
→
→
(ϕ,Ω)=(0.15,−0.25)
f∇
fΔ
Res(ϕ)≈1157.3
ϕ=0.15
Ω=−0.35
Nuω
ωr=|ωi−ωo|
Nuω
2s≈6.3τvis(ϕ)
≈13.9τvis
F(ω,κ)
|F(ω/ωi,κ)|
(ϕ,Ω,Res)=(0,−0.35,467.7)
zk/δ
8s≈13.9τvis
z1/δ=5.4
z2/δ=3.2
z3/δ=1.5
8s≈13.9τvis
→
1168⩽Res⩽1354
ϕ=0
2s≈6.3τvis
→
→
763⩽Res⩽887
ϕ=0.15
ϕ=0.2
2s≈8τvis