1. Introduction
Sheet and tip vortex cavitation are among the most common cavitation types for ship propellers and hydrofoils (Arndt Reference Arndt, Pennings, Bosschers and van Terwisga2002; Felli, Camussi & Di Felice Reference Felli, Camussi and Di Felice2011; Amini et al. Reference Amini, Reclari, Sano, Iino, Dreyer and Farhat2019). For a finite-span foil, the cavitation inception is closely associated with the streamwise tip vortex (Moore & Saffman Reference Moore and Saffman1973). Nuclei entrained into the vortex core are stretched by the strong axial pressure gradient, and develop into a slender columnar cavity (Zhang et al. Reference Ye, Wang and Shao2015). As the contact area between the tip vortex cavity and the hydrofoil increases, a flattened sheet cavity forms within the low-pressure region near the tip, and covers the solid surface (Bosschers Reference Bosschers2018). The sheet and tip vortex cavitation can undergo a sequence of unsteady processes, such as collapse and shedding. The unsteady evolution of cavitation is closely linked to underwater radiated noise (Smith & Rigby Reference Sirovich2022). The volume variation of the sheet cavity governs the low-frequency pressure fluctuations (Kanemaru & Ando Reference Kanemaru and Ando2013). Meanwhile, higher-frequency components are linked to tip vortex cavity oscillations under a non-uniform wake condition (Pennings et al. Reference Pennings, Westerweel and van Terwisga2016). The interaction between the sheet and tip vortex cavities yields a broad-band noise spectrum (Tomy et al. Reference Tian, Zong, Wu, Huang and Liu2024). Different cavitation types and the associated phase transitions are closely linked to noise, vibration, erosion and hydrodynamic efficiency.
As the earliest onset cavitation type, the dynamics of tip vortex cavitation is crucial for propeller design. The nuclei first develop into a slender cavity in the centre of the tip vortex, and generate pronounced noise (Khoo et al. Reference Khoo, Venning, Pearce and Brandner2021). As the cavitation number decreases, the cavity usually manifests as a columnar or twisted double-helix shape (Arndt, Arakeri & Higuchi Reference Arndt1991). Some experiments have shown that at specific cavitation numbers, the tip vortex cavity can undergo periodic contraction and rebound, giving rise to pronounced narrow-band noise (Maines & Arndt Reference Maines and Arndt1997; Peng et al. Reference Peng, Xu, Liu, Zhang, Cao, Hong and Yan2017a ). Arndt et al. (Reference Arndt, Arakeri and Higuchi2015) proposed that interactions between the boundary layer and the attached sheet cavity can provide the excitation source for the oscillation phenomenon. High-speed images showed that the attached tip cavity oscillates at the same frequency as the tip vortex cavity. The cavity extent over the hydrofoil surface also agrees with the region of boundary layer separation near the tip. Ye, Wang & Shao (Reference Ye, Schrijer and Scarano2023) further demonstrated a close connection between the surface oscillation of the cavity and unsteady vortical structures. The onset of cavitation intensifies the interaction between the tip vortex and the separated vortices, promoting the growth of disturbances on the tip vortex, and the emergence of small-scale vortical structures. Numerical work by Lak & Jaiman (Reference Lak and Jaiman2024) indicates that streamwise vortical structures originating from the boundary layer near the tip are progressively entrained into the tip vortex, producing alternating positive and negative vortex stretching regions around the cavity, thereby giving rise to spatial variations in cavity volume. These studies indicate that the evolution of cavitation is closely coupled with the surrounding flow field characteristics and vortical structures.
At lower cavitation numbers, the sheet cavity grows on the suction side, interacts with the tip vortex, and gives rise to secondary vortex cavities. The sheet and tip vortex cavitation often coexist during the operation of propellers (Aktas et al. Reference Aktas, Yilmaz, Atlar, Sasaki, Fitzsimmons and Taylor2020). The coupling between the two cavitation types introduces unsteady volume variations near the tip. In the experimental study of Tani et al. (Reference Smith and Rigby2019), it was found that as the sheet cavity becomes noticeably thicker and extends chordwise towards the tip, the interaction between the sheet and tip vortex cavitation becomes more pronounced. A secondary vortex cavitation forms near the trailing edge, which exhibits strong interactions with the primary tip vortex cavity. Interactions between different cavitation types also influence the pressure fluctuations and radiated noise. Ge, Svennberg & Bensow (Reference Ge, Svennberg and Bensow2020) performed a numerical analysis for the interaction between two cavitation types on the propeller, and predicted the induced pressure pulses. They found that the cyclic growth and shrinkage of sheet cavitation provide the dominant contribution to the fundamental component and lower-order harmonics in the pressure spectrum, corresponding to the blade-passing frequency (BPF). The sequential break-up of the sheet cavity, followed by the downstream tip vortex cavity, has been identified as an important contributor to the generation of higher-order harmonics in the pressure spectrum. Using the DDES method, Sezen & Atlar (Reference Sciacchitano and Wieneke2022) further showed that volume fluctuations arising from the interaction between sheet and tip vortex cavities significantly increase the noise level. Based on synchronised measurements of cavitation evolution and pressure fluctuations, Tian et al. (Reference Tani, Aktas, Viviani, Yilmaz, Miglianti, Ferrando and Atlar2024) demonstrated that the break-up and shedding of small-scale cavities mainly affect the mid-frequency band (2–13 BPF) of the pressure spectrum, whereas microbubble collapse contributes to the high-frequency band above 13 BPF. These studies highlight the need to resolve the unsteady cavitation dynamics in the tip region to better interpret the origins of the pressure and acoustic signatures.
Bark & Bensow (Reference Bark and Bensow2013) used high-speed imaging to capture the development of the sheet cavitation on propeller blades. The sheet cavity grows and forms a closure region downstream. The adverse pressure gradient at the rear of the cavity induces a re-entrant jet that leads to cloud cavitation pinch off and shedding (Che et al. Reference Chang, Yakushiji, Dowling and Ceccio2019). On the three-dimensional foil, a spanwise component has been found to add to the re-entrant jet as the cavity-closure contour becomes oblique to the incoming flow, forming a ‘side-entrant jet’ (Foeth et al. Reference Foeth, van Terwisga and van Doorne2008). Further numerical analysis shows that the side-entrant jet cuts off the sheet cavity and drives U-shaped cloud shedding, highlighting the three-dimensional character of the side-entrant mechanism (Peng et al. Reference Peng, Wang, Li, Xu and Song2016; Zhi et al. Reference Zhao, Tu, Xu, Luo, Gao, Zhang, Cao, Peng, Deng and Shao2022). Bosschers (Reference Bosschers2019) further emphasised that the sheet cavity governs the cavitation evolution near the hydrofoil tip. In particular, during the decrease of the sheet cavity volume, the vapour is convected into the attached tip vortex cavity, causing a temporary increase in the cavity diameter and volume, followed by periodic collapse and rebound. Additionally, many studies have reported shockwave propagation during cavity shedding. Smith et al. (Reference Smith, Venning, Pearce, Young and Brandner2020) identified both the re-entrant jet-driven and shockwave-driven shedding modes on a hydrofoil. The latter become dominant at lower cavitation numbers. Venning, Pearce & Brandner (Reference Vanierschot, Müller, Sieber, Percin, van, B. and Oberleithner2022) further showed that the nuclei content can alter both the dominant cavitation shedding modes. Shockwaves dominate the shedding phenomenon in nuclei-depleted flow, whereas the abundant nuclei can introduce a harmonic mode due to the propagation of two shockwaves at different speeds. Using high-speed visualisation and X-rays, Bhatt, Ganesh & Ceccio (Reference Bhatt, Ganesh and Ceccio2023) found that the dominance of the two mechanisms varies with both cavitation number and the Mach number of the bubbly mixture.
Previous studies have mainly focused on the mechanisms of sheet cavitation collapse. It remains unclear how the tip vortex cavitation develops together with the sheet cavitation, and how the interaction between the two cavitation types alters the collapse process during the unsteady oscillation cycle around the tip region. Moreover, cavitation not only alters the surrounding flow field, but is also influenced by the flow structure. The complex three-dimensional vortex system around the tip (including both spanwise and streamwise vortices) can modulate the local pressure distribution (Garmann & Visbal Reference Garmann and Visbal2017; Toosi et al. Reference Tomy, Gosda, Berger, Bingham, Andersen and Abdel-Maksoud2024), thereby influencing cavitation inception, growth and unsteady behaviour. Clarifying the interaction between sheet cavitation, tip vortex cavitation and the vortex system is essential for elucidating the cavitation evolution process in the tip region.
The present study aims to investigate the mechanism of the unsteady cavitation oscillation cycle near the tip of an elliptical hydrofoil with a NACA
$66_2$
-415 section. The periodic behaviour and phase change of cavity morphology are obtained using high-speed imaging, with particular attention to the spanwise interaction between the sheet and tip vortex cavities. The corresponding three-dimensional vortical structures at each phase are characterised using tomographic particle image velocimetry (PIV). Proper orthogonal decomposition (POD) is employed to obtain the evolution of the dominant modes across the cycle. The spatial distribution of the turbulence production is calculated to identify regions of intense generation of turbulent kinetic energy. Synchronously acquired radiated noise is analysed to correlate acoustic signatures with the cavity volume variation.
2. Experimental set-up and flow conditions
2.1. Test facility, flow conditions and high-speed visualisation
The experiments were conducted in the cavitation tunnel at the Institute of Fluid Engineering, Zhejiang University, as shown in figure 1(
$a$
). The tunnel has total water volume 4.3 m
$^3$
. The test section of the tunnel has length 1020 mm and square cross-section
$200.5 \times 200.5$
mm
$^2$
. The static pressure along the centreline of the test section can be adjusted over the range 17–200 kPa. With contraction ratio 9 : 1, the facility provides maximum flow velocity 10 ms−1. The turbulence intensity is controlled below 0.5 %. An elliptical hydrofoil NACA
$66_2$
-415, with maximum chord
$c=83.7$
and 100.1 mm span (
$s$
), was mounted on the side wall at the mid-height of the test section. The model was made of aluminium with a black-anodised surface. The angle of attack was set to
$9^{\circ }$
to enable a fully developed cavitation condition. The tip of the hydrofoil was positioned at the geometric centre of the test section, which was set as the origin (
$o$
) of the Cartesian coordinate system. The
$x$
,
$y$
and
$z$
axes correspond to the streamwise, wall-normal and spanwise directions, respectively.
Conceptual sketch of model installation and tomographic PIV set-up: (
$a$
) measurements of cavitation morphology and radiated noise; (
$b$
) tomographic PIV set-up.

The water gas content can be adjusted using a degassing tower, while the dissolved oxygen (DO) level in the tunnel is monitored by an electrode probe (Orion Star A223, Thermo Scientific) mounted on an external sealed box connected to the tunnel circuit. During operation of the tunnel, water from the tunnel circuit was continuously circulated through this sealed box for DO measurement. The DO level was measured at pressures below the atmospheric pressure, before the cavitation inception. Before the experiment, the tunnel was operated continuously for 30 min, after which the DO level stabilised at approximately 90 % of air saturation.
The operation velocity
$u_{\infty }$
was fixed at 5 m s−1. The chord-based Reynolds number (
$\textit{Re}_{c}=u_{\infty }c/\nu$
, where
$\nu$
is the kinematic viscosity of the fluid) was
$4.3\times 10^{5}$
. The cavitation number is defined as
$\sigma =(p_{\infty }-p_{v})/0.5\rho u_{\infty }^{2}$
, where
$p_{v}$
is the vapour pressure of water, and
$\rho$
is the water density. The water temperature was approximately 294 K. The desired cavitation condition was achieved by adjusting the static pressure
$p_{\infty }$
at the central location of the test section, resulting in
$\sigma = 4.1$
for the present experiment. Before recording, the tunnel was kept running for several minutes to ensure the repeatability of the condition. Both sheet and tip vortex cavities appear, exhibiting periodic growth, collapse and rebounding behaviours.
Two high-speed cameras (Phantom VEO-340L,
$2560\times 1600$
pixels) were mounted in tandem to visualise the temporal evolution of the cavitation pattern from the top view. The illumination was provided by two LED light sources (GS Vitec Multiled LT-V9-15) with total luminous flux approximately 14 000 lm to distinguish the cavity boundary. A long streamwise range
$x/c = [-0.4, 1.6]$
was captured. The camera sensor was cropped to
$2560\times 800$
pixels to obtain acquisition frequency 1600 Hz. The corresponding digital image resolution of the high-speed visualisation was 15.4 pixels mm–1. A total of 4800 images were recorded for 3 s, capturing more than thirty oscillation cycles of sheet and tip vortex cavitation. Synchronised noise measurements were conducted using a Reson TC 4013 hydrophone positioned in a water box mounted on the side of the test section, at sampling frequency 100 kHz. The hydrophone has a receiving sensitivity of
$-211 \pm 3$
dB re 1 V μPa
$^{-1}$
.
2.2. Tomographic PIV
The instantaneous three-dimensional cavitating velocity fields were captured by a tomographic PIV system. Four high-speed cameras (two Photron FASTCAM Mini AX100 and two Photron FASTCAM SA4,
$1024 \times 1024$
pixels) were arranged in a cross-like configuration with maximum aperture angle
$40^{\circ }$
, as shown in figure 1(
$b$
). The cameras were equipped with Nikon Micro 150 mm lenses, and the aperture was set to
$f_{\#} = 22$
. The fluid was seeded with fluorescent particles (Rhodamine B dye) with average diameter
$35\,{\unicode{x03BC}} \mathrm{m}$
and density 1188 kg m
$^{-3}$
. Using the tip vortex diameter and the peak tangential velocity in the core region as the characteristic scales gives Stokes number
$St_{k} = 0.068 \lt 0.1$
(Samimy & Lele Reference Qian, Zeng, Peng and Luo1991), indicating that the particles can adequately follow the flow in the present measurements. Illumination was provided by an Nd: YLF high-speed laser (Vlite-Hi-527-50, 50 mJ per pulse at 1 kHz). To eliminate the high-intensity light reflected by the cavity interface, each camera was equipped with a long-pass filter to eliminate light with wavelengths below 560 nm, and capture the red light emitted by the particles, with peak emission wavelength 584 nm. The laser sheet was extended to 15 mm in the spanwise direction to cover both the vortex cavitation and the sheet cavity. Two measurement domains, field of view (FOV) A and B, were combined to illustrate the streamwise development of dominant vortical structures, both of which were
$53.4(x)\times 28.6(y)\times 15(z)$
mm
$^{3}$
. The resulting streamwise range starts from the leading edge of the hydrofoil to 0.9 times the chord in the wake (
$x/c = [-0.3, 0.9]$
). The resultant digital image resolution is 24.6 pixels mm−1. The pulse separation was set to
$100\,{\unicode{x03BC}} \mathrm{s}$
, yielding an average displacement of approximately 10 pixels in the free stream. A total of 2000 snapshots were recorded at sampling frequency 3200 Hz. The uncertainty analysis of the mean streamwise velocity
$(\varepsilon _{u})$
and the standard deviation of the streamwise velocity
$(\varepsilon _{\sigma _u})$
was performed following Sciacchitano & Wieneke (Reference Samimy and Lele2016). The effective numbers of independent samples were estimated to be 100 and 139 for FOV A and FOV B, respectively, based on the temporal autocorrelation coefficient of the measured signal (Manovski et al. Reference Manovski, Abu Rowin, Ng, Gulotta, Giacobello, de Silva, Hutchins and Marusic2025). The corresponding normalised uncertainties of the mean streamwise velocity
$(\varepsilon _{u}/u_{\infty })$
and velocity standard deviation
$(\varepsilon _{\sigma _u}/u_{\infty })$
were 1.69 % and 1.20 % for FOV A, and 0.93 % and 0.66 % for FOV B, respectively. The error introduced by the reconstruction and cross-correlation algorithm was estimated to be approximately 0.3 voxels (Lynch & Scarano Reference Lynch and Scarano2015).
Physical calibration was performed using a dual plane calibration target. Volume self-calibration was applied to further reduce calibration errors (Wieneke Reference Wang, Ye and Shao2008). The PIV images were processed using DaVis 10. The spatial distribution of particles was reconstructed using the camera simultaneous multiplicative reconstruction technique (CSMART) (Atkinson & Soria Reference Atkinson and Soria2009), which was further optimised by the sequential motion tracking enhancement approach (SMTE) (Novara, Batenburg & Scarano Reference Novara, Batenburg and Scarano2010; Lynch & Scarano Reference Lynch and Scarano2015). The number of iterations was set to seven to suppress the ghost particles. It provides robust and precise spatial positioning of particles within the reconstructed volume, even during the collapse process when particle concentration inside the cavity is sparse. The final interrogation volume size was
$32\times 32\times 32$
voxels (
$1.48\times 1.48\times 1.48$
mm
$^{3}$
) with 75 % overlap, which allows accurate detection of flow structures around the tip of the hydrofoil. This results in vector spacing 0.37 mm, which is approximately 10 % of the time-averaged tip vortex cavity diameter during the growth process.
3. Results
3.1. Oscillation cycles of sheet and tip vortex cavitation
For a fully developed cavitating condition, the oscillation of the tip vortex cavity is related to the boundary layer condition close to the tip (Pennings et al. Reference Pennings, Westerweel and van Terwisga2016; Peng et al. Reference Peng, Ji, Cao, Xu, Zhang, Luo and Long2017b ; Ge et al. Reference Ge, Svennberg and Bensow2020), being influenced by the volume growth of the sheet cavity (Bosschers Reference Bosschers2019). The evolution process of this condition is captured by the high-speed imaging, as shown in figures 2 and 3. The cavitation is initiated by the tip vortex cavity of a slender columnar shape. The sheet cavity grows steadily under low static pressure conditions until shedding. The sheet cavity and the tip vortex cavity then interact and collapse, after which the cavity rebounds. The overall process exhibits a periodic behaviour near the tip. The evolution process can be divided into three phases based on the cavity pattern.
The tip vortex cavity appears attached to the hydrofoil tip, undergoing continuous shape variation from a cylindrical shape (figure 2
$a$
i) into a double-helical shape (figures 2
$a$
ii,
$a$
iii), which is related to the growth surface instability (Peng et al. Reference Peng, Xu, Liu, Zhang, Cao, Hong and Yan2017a
; Ye et al. Reference Ye, Schrijer and Scarano2023; Qian et al. Reference Posa, Broglia and Balaras2024). As the radius of the vortex cavity increases, the tangential velocity decreases due to the conservation of angular momentum, and raises the static pressure at the interface, thereby resisting further radial growth (Choi et al. Reference Che, Cao, Chu, Likhachev and Wu2009). Simultaneous growth of the sheet cavity is observed in the spanwise direction towards the hydrofoil root, extending over approximately 10 % span on the suction side (figure 2
$a$
iii). In the present study, the development of tip vortex cavitation continuously transports dissolved gases towards the tip through the cavitating vortex centre, promoting the growth of the sheet cavity (Amini et al. Reference Amini, Reclari, Sano, Iino, Dreyer and Farhat2019). Meanwhile, dissolved gases from the surrounding liquid diffuse across the interfacial layer into the cavity (Nanda et al. Reference Nanda, Westerweel, van Terwisga and Elsinga2022), further increasing its volume.
Evolution of sheet and tip vortex cavities during the (ai–aiii) growth phase at
$t_{\mathrm{1}}$
,
$t_{\mathrm{2}}$
and
$t_{\mathrm{3}}$
, (bi–biii) collapse phase at
$t_{\mathrm{4}}$
,
$t_{\mathrm{5}}$
and
$t_{\mathrm{6}}$
.

Variation of the tip vortex cavity diameter during the rebounding phase: (
$a$
) rebounding (
$t_{\mathrm{7}}$
); (
$b$
) contraction (
$t_{\mathrm{8}}$
).

As the sheet cavity continues to grow, the collapse of the cavity emerges close to the trailing edge of the hydrofoil, where strong flow separation occurs (Ye et al. Reference Ye, Schrijer and Scarano2023). The gas–liquid interface of the sheet cavity becomes indistinct, accompanied by the shedding of discrete bubble clusters in the streamwise direction (figure 2
$b$
ii). In addition, a secondary vortex cavitation originates from the rear of the sheet cavity with a relatively small size, as shown in figure 2(
$b$
i), connecting to the tip vortex cavity. The secondary structure and cloud clusters further disrupt the tip vortex cavity downstream, accelerating the collapse process (figure 2
$b$
iii) (Tani et al. Reference Smith and Rigby2019; Ge et al. Reference Ge, Svennberg and Bensow2020). A more detailed discussion of the collapse phase is provided in § 3.2. The entire process is provided in supplementary movie 1 are available at https://doi.org/10.1017/jfm.2026.11739.
After the collapse phase, the tip vortex cavity interface undergoes radial rebound (figure 3
$a$
) and contraction (figure 3
$b$
), resembling the scenario observed during vortex singing (Peng et al. Reference Peng, Xu, Liu, Zhang, Cao, Hong and Yan2017a
; Liu & Wang Reference Liu and Wang2019). As the cavity diameter is reduced after the collapse phase, the tangential velocity at the interface increases, which lowers the interfacial pressure, thereby suppressing further contraction and triggering the rebound (Bosschers Reference Bosschers2019). The slender columnar tip vortex cavitation in the rebounding phase remains attached to the hydrofoil, while the sheet cavity is absent. In each oscillation cycle, the interaction between the tip vortex and secondary cavities varies, resulting in the irregular occurrence and variable duration of the rebounding. Following this, the next cycle starts with the growth of the sheet and tip vortex cavities.
The temporal variation of the cavity interface for the entire test duration of 3 s is extracted from the top view at
$x/c = 0.2$
(figure 4
$a$
), where the initial collapse occurs. A zoomed view over
$t = 1.5{-}1.8$
s is shown in figure 4(b). The growth phase (I) and collapse phase (II) are indicated. The oscillation cycle of the sheet and tip vortex cavities is clearly identified, featuring a dominant frequency of approximately 10 Hz associated with the cavitation shedding process (Arndt Reference Arndt2012). A similar cavitation cycle has also been reported by Tian et al. (Reference Tani, Aktas, Viviani, Yilmaz, Miglianti, Ferrando and Atlar2024) for a two-dimensional hydrofoil. Notably, the duration of each period varies due to the complex interaction between the sheet and tip vortex cavities (Arndt et al. Reference Arndt, Arakeri and Higuchi2015).
Temporal variation of the cavity interface extracted from the top view at
$x/c = 0.2$
: (
$a$
) entire test duration of 3 s; (
$b$
) zoomed view over
$t = 1.5{-}1.8$
s. The growth (I) and collapse (II) phases are indicated.

3.2. Behaviour of the sheet and tip vortex cavities in the collapse phase
The collapse process of cavitation is related to the re-entrant jet developing close to the surface of the hydrofoil, which modifies the structure of the sheet cavity and contributes to the generation of cloud vapour (Coutier-Delgosha et al. Reference Choi, Hsiao, Chahine and Ceccio2007; Pelz, Keil & Groß Reference Pelz, Keil and Groß2017). The re-entrant jet, shedding of sheet cavity and induced secondary structures become the main driving factors for the collapse of tip vortex cavitation (Bosschers Reference Bosschers2019; Ge et al. Reference Ge, Svennberg and Bensow2020). The detailed evolution and associated mechanisms of the collapse phase are provided in this subsection.
Collapse process of sheet cavity obtained from the top view at three time instants with
$\Delta t = 7.5$
ms: (
$a$
) beginning of side-entrant jet; (
$b$
) upstream movement of the jet; (
$c$
) sheet cavity collapse.

In the collapse phase, the thickness and curvature of the sheet cavity continue to increase until the closed cavity transforms into an open-sheet cavity with a cavity-closure vortex due to the re-entrant jet (Bark & Bensow Reference Bark and Bensow2013; Bosschers Reference Bosschers2019), as shown in figure 5(a). Due to the three-dimensional nature of the hydrofoil, the jet originates at the trailing edge of the hydrofoil and becomes oriented in the spanwise direction, forming a side-entrant jet (Foeth et al. Reference Foeth, van Terwisga and van Doorne2008). The front of the side-entrant jet is shown by the red dashed line, which moves both upstream and in the spanwise direction towards the tip. The cavity interface upstream of the dashed red line remains smooth and distinct (Gopalan & Katz Reference Gopalan and Katz2000). Following the upstream and spanwise movement of the side-entrant jet, the liquid evaporates, and the cavity interface breaks as the jet passes through. The jet velocity near the root side is faster than the tip, causing the front of the jet to extend further upstream, as shown in figure 5(b). The sheet cavity reaches a fully collapsed state once the jet reaches the leading edge of the hydrofoil (figure 5
$c$
), changing into cloud cavitation. In addition to the side-entrant jet, the shockwave has been reported as another important driving factor of sheet cavity collapse (Ganesh, Mäkiharju & Ceccio Reference Ganesh, Mäkiharju and Ceccio2016). However, no shockwave was identified in the present condition due to a relatively high cavitation number. The early stage of cavity collapse is therefore governed by a jet-driven mechanism rather than a shockwave-driven one (Bhatt et al. Reference Bhatt, Ganesh and Ceccio2023).
Following the spanwise motion induced by the side re-entrant jet, vapour within the clouds convects into the tip vortex cavity at the close downstream of the hydrofoil tip location (
$x/c = [0, 0.1]$
) (Bosschers Reference Bosschers2019). The former convection and interaction initiate disturbance growth and trigger the collapse of the tip vortex cavity. Vapour is also produced over the columnar cavity. The double-helix structure is notably deformed (figure 5
$c$
). Downstream of the sheet cavity, filament-like secondary vortex cavities can be observed in figures 5(a–c), forming a bridge between the sheet and tip vortex cavities, further driving the deformation of the tip vortex cavity in the downstream range (
$x/c = [0.2, 0.9]$
). Hairpin structures are randomly generated in the separation region over the suction side, and convect into the wake (Gopalan & Katz Reference Gopalan and Katz2000).
When the sheet cavity transforms into multi-scale cloud shedding, the secondary vortex cavities oriented at angle approximately
$40^{\circ }$
to the tip vortex cavity intensify (see supplementary movie 2). The bubble filaments connect into a columnar cavity due to the increased amount being transported into the wake region. The cavity diameter reaches a level comparable to that of the tip vortex cavity. The interaction between the secondary and tip vortex cavities drives the complete break-up of the latter in the upstream range (
$x/c = [0.1, 0.4]$
) (figure 6
$a$
). Several subscale spanwise vortex cavities are intertwined with the tip vortex cavity (figure 6
$b$
), resembling the bridging structure between two co-rotating vortices reported by Chang et al. (Reference Zhu, Wang, Wang and Wang2007). The tip vortex cavity is split into 2–3 segments at the points of interaction. After the sheet cavity is completely detached from the surface, the upstream vortex cavity gradually stabilises in the range
$x/c = 0{-}0.4$
(figure 6
$c$
), while the downstream (
$x/c = [0.8, 1.2]$
) tip vortex cavitation breaks up as the co-rotating secondary vortex cavity passes through.
Interaction between the secondary and tip vortex cavities obtained from the top view at three time instants, with
$\Delta t = 5.0$
ms.

3.3. Instantaneous flow organisation
The influence of the cavity evolution process on the vortical structures is further investigated in this subsection. The periodic behaviours of cavity growth and collapse are also expected in the instantaneous flow field. As an initial assessment, the time series of three velocity components is extracted from a point near the tip vortex (
$(x/c,y/c,z/c) = (0.2, 0, -0.05)$
) as shown in figure 7. Located behind the rear of the sheet cavity, the selected point reflects the effects of cavitation collapse and shedding on the surrounding flow. The temporal variation of all three velocity components exhibits strong periodicity. The duration of each period is 90–100 ms, which is similar to that of the cavity interface in figure 4. The correspondence between the cavitation phases and the velocity variations is identified from the time sequence of particle images of PIV measurement, in which the reflection of cavity interface can be observed with a gamma correction contrast filter applied. The growth (I) and collapse (II) phases are distinguished and marked in green and yellow, respectively. The remaining time corresponds to the rebounding of the downstream tip vortex cavity, as illustrated in figure 3. The amplitudes of the streamwise (
$u/u_{\infty }$
), wall-normal (
$v/u_{\infty }$
) and spanwise (
$w/u_{\infty }$
) velocities vary with the evolution of cavitation. During the growth of the cavity (marked green), both wall-normal and spanwise velocity (
$v/u_{\infty }$
and
$w/u_{\infty }$
) turn from negative to positive. The positive
$w/u_{\infty }$
represents spanwise flow motion towards the hydrofoil tip, and the sign change in
$v/u_{\infty }$
reflects the accompanying wall-normal motion associated with the cavity–interface deformation induced by the development of the side-entrant jet (Zhi et al. Reference Zhao, Tu, Xu, Luo, Gao, Zhang, Cao, Peng, Deng and Shao2022). Simultaneously, the streamwise velocity (
$u/u_{\infty }$
) undergoes pronounced fluctuations. When entering the collapse phase (marked yellow), the magnitude of velocity fluctuations for all three components becomes relatively small, showing that the upstream jet-driven sheet cavity collapse exerts little influence on the downstream. At the end of the collapse phase, when large-scale cavities shed downstream and the tip vortex fully collapses, the wall-normal and spanwise velocity components become negative again, accompanied by another intensification of the streamwise velocity fluctuations. The temporal variation of velocity demonstrates a strong correlation between cavitation evolution and the behaviour of the instantaneous flow field.
The time variation of non-dimensional instantaneous streamwise (
$u/u_{\infty }$
), wall-normal (
$v/u_{\infty }$
) and spanwise (
$w/u_{\infty }$
) velocities at
$(x/c,y/c,z/c) = (0.2, 0, -0.05)$
, where the green and yellow regions correspond to growth (I) and collapse (II) phases, respectively.

Further analysis is performed on the instantaneous flow organisation of different evolution phases, being visualised by the iso-surface of
$\lambda _{2}$
criterion (Jeong & Hussain Reference Jeong and Hussain1995). The iso-surface is colour-coded by the non-dimensional streamwise velocity (
$u/u_{\infty }$
). The instantaneous vortical structures during the cavity growth phase are shown in figure 8 with a side view and a zoomed-in top view. The results of the two FOV domains were stitched together to present a complete vortex structure. The tip vortex exhibits a continuous columnar structure with pronounced wavy motion and centre displacement (see figure 8
a), which is typical of a cavitating vortex (Xie et al. Reference Wieneke2021). Since the gas–liquid interface of the cavity is clearly defined and remains relatively stable (figure 2
$a$
), the tip vortex structure tends to retain its streamwise continuity (Ye et al. Reference Ye, Schrijer and Scarano2023). The spanwise vortical structures can be identified near the tip, shedding from the trailing edge. The growth of sheet cavitation promotes the development of Kelvin–Helmholtz instabilities close to the gas–liquid interface (Podbevšek et al. Reference Pino, López-Alonso, Parras and Fernandez-Feria2021), as indicated by the hairpin structure in figure 5(c), which leads to the generation of spanwise vortex elements around the tip region (Jodai & Elsinga Reference Jodai and Elsinga2016). These vortices subsequently interact with the tip vortex and induce the bending of the vortex centreline (figure 8
$b$
). The presence of the spanwise vortex contributes to the formation of the secondary vortex cavity, as the low-pressure region within the vortex centre promotes the aggregation and growth of the shed bubble clusters (Zhang et al. Reference Zhang, Zhang, Wu, Wu, Kim and Lin2024).
Instantaneous flow organisation for both upstream (FOV A) and downstream (FOV B) domains during the growth phase, detected by the
$\lambda _{2}$
criterion, and colour-coded by the non-dimensional streamwise velocity
$u/u_{\infty }$
: (
$a$
) side view and (
$b$
) zoomed-in top view.

Instantaneous flow organisation during the collapse phase: (
$a$
) side view and (
$b$
) zoomed-in top view.

In the collapse phase, strong cavity interface vibration and vaporisation promote the upstream local destabilisation (
$x/c \lt 0.35$
) and downstream breakdown of the tip vortex (
$x/c \gt 0.35$
), further modulating the surrounding flow (Choi et al. Reference Che, Cao, Chu, Likhachev and Wu2009). Figure 9 shows the vortical structures corresponding to the moment when the sheet cavity fully collapses and the tip vortex cavity starts to break up, similar to the condition in figure 5(c). Compared to the growth phase, the shedding of the spanwise vortices becomes more pronounced, forming braid-like structures, as shown in figure 9(b). Strong interaction occurs between the shed spanwise vortices and the tip vortex in the range
$x/c = [0.1, 0.3]$
, leading to a notable distortion of the latter column-like structure. Near the hydrofoil tip, the tip vortex undergoes localised destabilisation accompanied by pronounced deformation, with much stronger bending of the vortex centreline. In the downstream region (
$x/c \gt 0.4$
), the shed spanwise vortices grow into secondary vortical structures that interact and entangle with the tip vortex, in line with the trajectory of the secondary vortex cavity (figure 6). The intensification of the interaction between spanwise vortices and the tip vortex contributes to a complete vortex breakdown process (Wang et al. Reference Venning, Pearce and Brandner2022). The resultant small-scale structures downstream resemble the pattern of cavities.
During the rebounding phase, as presented in figure 10, the upstream shed spanwise vortex nearly vanishes, while the continuous tip vortex structure re-emerges (figure 10
$a$
), indicating a transition from an unsteady state to a relatively steady state. The tip vortex is restored to a columnar shape with surface fluctuations (figure 10
$b$
). In the downstream domain (
$x/c \gt 0.35$
), the shed spanwise vortex structures persist with strength and rotating direction similar to those of the tip vortex. These secondary vortices originate from the trailing edge, closer to the root, and exhibit a quasi-periodic shedding phenomenon. The tip vortex undergoes centre displacement in response to the strain field of the secondary vortex downstream (
$x/c = [0.35, 0.7]$
) (Leweke & Williamson Reference Leweke and Williamson1998), without exhibiting appreciable vortex deformation or breakdown. The correspondence between the vortex structures and the cavitation morphology is clear during the first two phases. The growth of the sheet cavity induces upstream spanwise vortices, which trigger strong distortion of the tip vortex. During the collapse phase, the vortex–vortex interaction intensifies. The upstream collapse of the sheet cavity causes severe deformation of the streamwise tip vortex and the entanglement of the spanwise vortices. The tip vortex is further disrupted downstream by the shedding of large-scale secondary vortices. In the subsequent rebounding phase, both the cavity and the tip vortex regain continuity, while the secondary vortex persists, inducing downstream bending of the tip vortex.
Instantaneous flow organisation during the rebounding phase: (
$a$
) side view and (
$b$
) zoomed-in top view.

3.4. Proper orthogonal decomposition
Spanwise vortex structures of various sizes are present near the tip and downstream domain, which interact intensively with the tip vortex. To extract dominant instability modes from complex three-dimensional vortex systems, snapshot POD (Sirovich Reference Sezen and Atlar1987) is used to extract the most energetic fluctuation pattern related to coherent structures in the flow field. The fluctuations of the velocity field (
$u'$
) were decomposed into orthonormal modes
$\varphi ^{n}(x,y,z)$
and time coefficients
$a_{n}(t)$
as
\begin{equation} u'(x,y,z,t) = \sum _{n=1}^N a_n(t)\,\varphi ^{n}(x,y,z), \end{equation}
where
$N$
represents the number of snapshots selected, which is 2000 for both upstream and downstream domains. Three velocity fluctuation components obtained by tomographic PIV are aligned in the data matrix
$[u'(t_{i}), v'(t_{i}), w'(t_{i})]$
. Each POD mode can be written as a linear combination of snapshots:
\begin{equation} \varphi ^{n}(x,y,z) = \frac {1}{N\lambda ^{n}} \sum _{n=1}^N a_n(t)\,u'(x,y,z,t), \end{equation}
where the associated eigenvalues
$\lambda ^{n}$
represent the relative energy contributions of each mode, which are sorted in descending order. The mode of the three velocity components is used to calculate the vorticity fluctuation components (
$\phi /u_{\infty }$
) (Zhu et al. Reference Zhi, Huang, Qiu, Wang and Huang2017). The time coefficients represent the time-varying amplitude of each mode.
The relative energy distribution of the first 20 POD modes for the two measurement domains is plotted in figure 11. For the upstream domain (FOV A, black line and circle), the sum of the energies of the first two modes occupies more than 25 % of the total energy, indicating their contribution to the flow fluctuations. For the downstream domain (FOV B, red line and circle), the energy distribution is relatively flat across low- and high-order modes, consistent with previous studies (Ma, Wang & Gursul Reference Ma, Wang and Gursul2017; Ye, Schrijer & Scarano Reference Xie, Liu, Jiang and Huang2018). Accordingly, modes 1, 2, 6, 8 and 9 are selected to characterise the displacement and deformation of the tip vortex, and the evolution of secondary vortices in the wake.
Relative energy distribution of the first 20 POD modes for both upstream and downstream domains (FOV A and FOV B, respectively).

3.4.1. Upstream domain
For the upstream domain, two major types of modes are selected. Mode 1 with the highest disturbance energy shows a pair of vorticity fluctuation patches with opposite sign, corresponding to the centreline displacement perturbation of the tip vortex, and is associated with vortex wandering (del Pino et al. Reference Coutier-Delgosha, Stutz, Vabre and Legoupil2011), as shown in figure 12(a). This mode type is referred to as the displacement mode. The positive and negative fluctuation patches are present in the range
$x/c \gt0$
. Constrained by the hydrofoil surface, it mainly manifests as a wall-normal displacement of the local vorticity in the upstream domain (figure 12
c). Mode 2 (
$x/c \gt 0.15$
) represents another type with a quadrant distribution of positive and negative vorticity fluctuation components (figure 12
$b$
), corresponding to the deformation of the tip vortex (figure 12
d). This mode type is referred to as the deformation mode. The pattern resembles the mode that induces elliptical deformation of the vortex (Fabre, Sipp & Jacquin Reference Fabre, Sipp and Jacquin2006), indicating the variations in its shape and size under the strain field induced by the adjacent spanwise vortex (Folz & Nomura Reference Folz and Nomura2023). Both the displacement and deformation modes have also been reported for an isolated tip vortex without a strong sheet cavity (Ye et al. Reference Ye, Schrijer and Scarano2023).
Vorticity fluctuation components of POD modes for the temporal and spatial characters of modes in the upstream domain (
$\phi /u_{\infty }=\pm0.017$
): (a,c) mode 1, (b,d) mode 2. Cross-plane contours are superimposed at
$x/c = 0.25$
. The grey iso-surface corresponds to the time-averaged streamwise vorticity.

Evolution of the time coefficient (
$a_{n}(t)$
) for modes 1 and 2 in the upstream domain. The green and yellow regions correspond to growth and collapse phases, respectively.

The evolution of time coefficients for both modes is provided in figure 13, which exhibits strong periodicity. The oscillation frequency of mode 1 is approximately 10 Hz. The behaviour resembles that of the oscillation process of cavitation, indicating their strong correlation. As the sheet and tip vortex cavities grow, the time coefficient becomes positive, reflecting a wall-normal displacement of the vortex. Its magnitude remains nearly constant through the early and middle parts of the collapse stage, before returning to a minimal level once cavitation has fully broken up. For mode 2, the time coefficient undergoes multiple increases and decreases within each cycle during the collapse phase, corresponding to intense deformation of the tip vortex driven by strong spanwise vortices (figure 9
$b$
). In the rebounding phase, the time coefficient of the deformation mode approaches zero, indicating weak vorticity fluctuations upstream.
3.4.2. Downstream domain
In the downstream domain, modes 1, 2, 6, 8 and 9 are selected. The first two modes with the highest energy represent the vortex centre displacement. The main structure of each mode is a pair of elongated vortex pairs with opposite directions (figures 14
a,b). As shown by the extracted cross-sections (figures 14
c,d), the two displacement modes have a
$90^{\circ }$
spatial phase difference, confirming the displacement motion of the tip vortex in all directions. The time coefficient history of the former modes is provided in figure 15, demonstrating clear periodicity following the cavitation cycle. The time coefficients of the two modes also appear in phase quadrature. This behaviour reflects alternating contributions to the wall-normal and spanwise displacement by modes 1 and 2, respectively. The phase difference is related to the anticlockwise rotation of the tip vortex during the cavity growth and collapse process (Vanierschot et al. Reference Toosi, Peplinski, Schlatter and Vinuesa2020).
Vorticity fluctuation components of POD modes for the temporal and spatial characters of modes in the downstream domain (
$\phi /u_{\infty }=\pm0.017$
): (a,c) mode 1, (b,d) mode 2. Cross-plane contours are superimposed at
$x/c = 0.6$
. The grey iso-surface corresponds to the time-averaged streamwise vorticity.

Evolution of the time coefficient (
$a_{n}(t)$
) for modes 1 and 2 in the downstream domain. The green and yellow regions correspond to growth and collapse phases, respectively.

Vorticity fluctuation components of POD modes for the temporal and spatial characters of modes in the downstream domain (
$\phi /u_{\infty }=\pm0.017$
): (
$a$
) mode 6, (
$b$
) mode 8, (
$c$
) mode 9. The grey iso-surface corresponds to the time-averaged streamwise vorticity.

Modes 6, 8 and 9 exhibit a different mode pattern, consisting of pairs of anticlockwise spiral vorticity fluctuation pairs (figures 16
$a$
–
$c$
), similar to the helical coherent structures reported for swirling-jet vortex breakdown (Vanierschot et al. Reference Toosi, Peplinski, Schlatter and Vinuesa2020). The streamwise distance between neighbouring spiral pairs is approximately
$0.2c$
, which is consistent with the distance between the secondary vortices in figures 9 and 10. Meanwhile, modes 6 and 8 exhibit a streamwise spatial shift of approximately
$0.05c$
between their corresponding pairs of vorticity fluctuations, equivalent to one-quarter of the dominant wavelength (
$0.2c$
), indicating shedding of vorticity that wraps around the tip vortex (Noack et al. Reference Noack, Stankiewicz, Morzyński and Schmid2016). This interpretation agrees with the modal analyses of Wang et al. (Reference Venning, Pearce and Brandner2022), which show that the secondary vortices roll up and organise coherent structures, injecting fluctuations into the tip vortex, thereby amplifying unsteadiness. The evolution of the time coefficient (figure 17) shows high amplitudes during the collapse and rebounding phases, further validating the shedding mechanism of secondary vortices in both phases.
Evolution of the time coefficient (
$a_{n}(t)$
) for modes 6, 8, 9 in the downstream domain. The green and yellow regions correspond to growth and collapse phases, respectively.

Wavelet power spectrum
$P_{w} (t, f )$
for time coefficient of modes in the downstream domain: (
$a$
) mode 1, (
$b$
) mode 6.

To further examine the dynamic evolution of these modes at different phases, the wavelet transform is employed to analyse unsteady and transient features associated with the growth, collapse and rebounding of cavitation (Brandner, Venning & Pearce Reference Brandner, Venning and Pearce2018). Figure 18 presents the wavelet analysis of the time coefficients of the downstream modes 1 and 6, where
$P_{w} (t, f )$
denotes the wavelet power spectrum at time
$t$
and frequency
$f$
, quantifying the signal energy within the corresponding time–frequency window. The peak frequency of mode 1 is mainly concentrated around 10 Hz (figure 18
$a$
), which is close to the large-scale cavitation shedding frequency shown in figure 4. Mode 6 shows a second peak frequency within the 100–400 Hz frequency band during the collapse and rebounding phases (figure 18
$b$
), which is attributed to the spanwise vortex shedding near the tip.
The POD modes show that the unsteady evolution of cavitation induces both displacement and deformation of the tip vortex. In the upstream domain, displacement (mode 1) and deformation (mode 2) both dominate due to strong vortex–vortex interactions, exhibiting frequency approximately 10 Hz, consistent with the cavitation oscillation cycle. In the downstream domain, the vorticity fluctuations are primarily governed by the displacement mode. Modes with higher shedding frequency also emerge, which align with secondary vortices rolling up and wrapping around the tip vortex.
3.5. Turbulence production
The unsteady behaviour of sheet and vortex cavitation drives the collapse of the tip vortex and vortex–vortex interactions, leading to the growth of disturbances in the flow field. To analyse the generation and transport of energy, we calculate the spatial distribution of the turbulence production (
$P_{k}$
) in the growth, collapse and rebounding phases separately, following
The spatial distribution of the normalised production term (
$P_k^{*}= P_{k}c/u_{\infty }^{3}$
) is provided in figure 19 for seven
$y$
–
$z$
cross-sections (
$x/c= -0.1, 0, 0.1, 0.2, 0.4, 0.6, 0.8$
). The present analysis focuses on the positive component of
$P_{k}^{*}$
, which indicates turbulent kinetic energy (TKE) transfer from the mean flow to turbulence (Pope Reference Podbevšek, Petkovšek, Ohl and Dular2001). In all phases, positive
$P_{k}^{*}$
emerges at the tip (
$x/c = 0$
), and concentrates within the surface boundary layer (figures 19
$a$
i
$b$
i,
$c$
i). Downstream at
$x/c = 0.1$
, a large-magnitude band develops and connects to the tip vortex core, indicating that production originates from the suction-side boundary layer where strong shear is present (Li, Chen & Katz Reference Li, Chen and Katz2017), and is transported into the tip vortex. For the growth and collapse phases, the volumetric evolution and break-up of the cavity strongly modulate the production of TKE. A large-magnitude band of positive
$P_{k}^{*}$
persists at
$x/c = 0.2$
(figures 19
$a$
i,
$b$
i), continuing to feed the growth of fluctuation components at the tip vortex core. This aligns with instantaneous fields showing interactions between spanwise vortices and the tip vortex (figures 8 and 9), which drive displacement and deformation of the tip vortex (figure 12). The result is consistent with the previous research, which proposed that the turbulence is generated within the braid structures between interacting vortices and transported into the vortex core (Hussain Reference Hussain1981; Lignarolo et al. Reference Lignarolo, Ragni, Scarano, Simão Ferreira and van Bussel2015). In the rebounding phase,
$P_{k}^{*}$
decays rapidly as the tip vortex detaches from the suction side at
$x/c = 0.2$
(figure 19
$c$
i). The vortex core exhibits negative
$P_{k}^{*}$
, indicating that energy is extracted from the local turbulent fluctuations within the tip vortex and returned to the mean flow, resembling the trend for the wetted flow condition (Zhao et al. Reference Zhang, Zhang, Peng, Wang and Shao2025).
In the downstream region (figures 19
$a$
ii,
$b$
ii,
$c$
ii), both the growth and collapse phases display alternating positive and negative patches of
$P_{k}^{*}$
, indicating that the unsteady evolution of cavitation drives energy exchange between the tip vortex and the mean flow (Liu et al. Reference Liu, Tang, Yan and Li2022). The positive
$P_{k}^{*}$
is an extension of the high-magnitude region along the upstream hydrofoil surface, highlighting that vortex–vortex interactions upstream amplify the downstream tip vortex instability. The present result is consistent with the
$P_{k}^{*}$
distributions reported by Posa, Broglia & Balaras (Reference Pope2021) for downstream vortex breakdown, where the positive and negative
$P_{k}^{*}$
appear around the tip vortex. The rebounding phase exhibits weaker
$P_{k}^{*}$
, in line with a relatively stable tip vortex state downstream.
The spatial distributions of the normalised production term
$P_{k}^{*}$
, for
$x/c = -0.1, 0, 0.1, 0.2,{} 0.4, 0.6, 0.8$
: (
$a$
) growth phase (I), (
$b$
) collapse phase (II), (
$c$
) rebounding phase (III), for (i) FOV A, (ii) FOV B. The grey iso-surface corresponds to the time-averaged streamwise vorticity for phases I and III, respectively. In phase II, cavitation collapse leads to the absence of the tip vortex in the time-average flow field.

Integrals of the production terms
$\mathrm{\varPi }_{ij}^{*}$
at each streamwise cross-section for three phases: (
$a$
) I, growth, (
$b$
) II, collapse, and (
$c$
) III, rebounding.

Further analysis isolates the contribution of each term in (3.3). The streamwise gradient component is negligible for the present configuration. The contributions of spanwise and wall-normal velocity gradient to the production of TKE are investigated in detail, following
The integrals of (3.4) and (3.5) are calculated for each streamwise section, following
where
$S$
denotes the test region that contains both the tip vortex and spanwise vortices. The streamwise development of the non-dimensional term
$\varPi _{ij}^{*} = \varPi _{ij}c/u_{\infty }^{3}$
of each component is illustrated in figure 20. The sum of the six terms (
$\varPi _{2j}^{*}+\varPi _{3j}^{*}$
) is calculated and shown as the black line with circles. Across all three phases, the sum term increases monotonically from the leading edge, reaches a peak and then decays. In the growth and collapse phases, the peaks occur at
$x/c = 0.17, 0.22$
, respectively, coinciding with the locations of pronounced interactions between tip and spanwise vortices in figures 8(b) and 9(b). In the rebounding phase, the decay starts further upstream (
$x/c= 0.11$
), exhibiting a lower amplitude globally.
Among all the individual components, the dominant term is
$\varPi _{22}^{*}$
, which reflects the strong wall-normal strain (
$\partial \overline {v}/\partial y$
) generated by the rolled-up shear layer, and subsequently feeds the growth disturbances of the tip vortex system, consistent with the previous study (Zhao et al. Reference Zhang, Zhang, Peng, Wang and Shao2025). The spanwise-related terms
$\varPi _{32}^{*}$
and
$\varPi _{33}^{*}$
also reach comparable levels, indicating spanwise modulation by the suction-side shear layer and its contribution to TKE production (Bilbao-Ludena & Papadakis Reference Bilbao-Ludena and Papadakis2023).
3.6. Noise radiation
The cavitation undergoes significant temporal volume variations, which leads to noise radiation. To analyse the noise magnitude, the recorded voltage was converted to pressure
$p_s$
based on the hydrophone sensitivity. Then the sound pressure level (SPL) was calculated, defined as
where
$p_{\mathit{ref}}$
is the reference pressure equal to 1
${\unicode{x03BC}}$
Pa in the water.
Figure 21 presents the noise spectrum under the fully developed cavitation condition. The wetted flow case is included for reference. In the low-frequency band (below 100 Hz), the noise is primarily attributed to the oscillation cycle of cavitation (figure 4), producing a clear increase in SPL over the wetted flow. In the high-frequency band (250–5000 Hz), a marked broad-band enhancement is observed. This behaviour is consistent with acoustic emissions from the break-up and shedding of cavities and the collapse of microbubbles (Tian et al. Reference Tani, Aktas, Viviani, Yilmaz, Miglianti, Ferrando and Atlar2024).
The SPLs of the fully developed cavitation (
$\sigma = 4.1$
) and the wetted flow (
$\sigma = 11.8$
) conditions.

Sound pressure signal for one oscillation cycle of the fully developed cavitation (red line) and wetted flow (black line) conditions. The red triangles denote the three time instants in figures 2 and 3, corresponding to the growth (
$t_{\mathrm{2}}$
), collapse (
$t_{\mathrm{4}}$
) and rebounding phases (
$t_{\mathrm{7}}$
).

Figure 22 provides the time series of sound pressure for one oscillation cycle of the fully developed cavitation, compared with the time history of the wetted flow condition. During the oscillation cycle, the primary sources of noise are the rapid volume growth of the sheet and tip vortex cavities, with the highest amplitude approaching 30 Pa, corresponding to the moment when the sheet cavity expands to 80 % of its maximum area (
$t_{\mathrm{2}}$
). The rapid volume variation rates of cavities generate strong acoustic impulses (Ganesh, Schot & Ceccio Reference Ganesh, Schot and Ceccio2014; Wang, Ye & Shao Reference Wang, Bai, Qian, Cheng and Ji2025). As collapse begins, interfacial fluctuations and break-up of the sheet cavity produce high sound pressure (
$t_{\mathrm{4}}$
), whereas subsequent shedding of the secondary vortex cavities yields weaker pressure, with its much smaller volumetric variation than in the growth stage. For the rebounding phase, the early rebounding (
$t_{\mathrm{7}}$
) and contraction of the tip vortex cavity also produce a high sound pressure, followed by a steep magnitude reduction.
4. Conclusions
This study systematically investigates the interaction mechanisms between sheet and tip vortex cavitation near the tip of an elliptical hydrofoil over oscillation cycles. High-speed imaging and time-resolved tomographic PIV are employed to detect the cavitation pattern and related three-dimensional instantaneous flow features. Combined with synchronised acoustic measurements, the study characterises the growth, collapse and rebounding phases of the cycle in terms of cavity morphology, three-dimensional vortex dynamics and acoustic emission.
During the oscillation cycle, sheet and tip vortex cavitation grow synchronously until the closure region at the rear of the sheet cavity becomes unstable. A side-entrant jet is produced, leading to the collapse of the sheet cavity, followed by the shedding of vapour clouds and the secondary cavity structures. Strong interaction between the large-scale secondary vortex cavity and the tip vortex cavity is observed, which drives the collapse of the latter structure. The tip vortex cavity rebounding occurs after the collapse phase, featuring strong intermittency and volume variation. Acoustic measurements show that the sound pressure reaches the highest level in the growth phase, highlighting the phase-related correspondence between the radiated noise and cavity morphology.
The instantaneous flow field is characterised by a streamwise tip vortex and spanwise vortex structures. The interaction between these vortices varies during the evolution of cavitation. Starting from the growth phase of the cycle, the tip vortex maintains a continuous column shape. The spanwise vortices are identified, shedding from the trailing edge of the hydrofoil. The mutual interactions between these structures lead to the wavy motion and centre displacement of the tip vortex. The collapse of sheet cavitation intensifies the shedding of the spanwise vortices and their interaction with the tip vortex, promoting the collapse of the latter. The streamwise and spanwise vortex system features a braided shape. In the rebounding phase, the tip vortex regains a continuous columnar form, consistent with the cavity morphology.
The POD analysis reveals the relationship between the cavitation evolution and unstable vortex modes. Two dominant modes are observed around the hydrofoil, corresponding to the displacement and deformation of the tip vortex. The time coefficients of the modes exhibit strong periodicity, which agrees with the cavitation oscillation process. Modes associated with the large-scale shedding of vorticity are present downstream, in line with the instantaneous flow showing secondary vortices rolling up and wrapping around the tip vortex.
The spatial distribution of the TKE production term exhibits large magnitudes on the suction-side shear layer for all phases. The spanwise interaction among upstream vortices during both growth and collapse phases further enhances the turbulence production in the tip vortex region, where the wall-normal and spanwise-related terms are the primary contributors.
Supplementary movies
Supplementary movies are available at https://doi.org/10.1017/jfm.2026.11739.
Funding
This work was supported by National Natural Science Foundation of China (grant nos 12522213, 12372280) and the Leading Talent Project for Scientific and Technological Innovation in Zhejiang Province (no. 2023R5220).
Declaration of interests
The authors report no conflict of interest.


a
b
t1
t2
t3
t4
t5
t6
a
t7
b
t8
x/c=0.2
a
b
t=1.5−1.8
Δt=7.5
a
b
c
Δt=5.0
u/u∞
v/u∞
w/u∞
(x/c,y/c,z/c)=(0.2,0,−0.05)
λ2
u/u∞
a
b
a
b
a
b
ϕ/u∞=±0.017
x/c=0.25
an(t)
ϕ/u∞=±0.017
x/c=0.6
an(t)
ϕ/u∞=±0.017
a
b
c
an(t)
Pw(t,f)
a
b
Pk∗
x/c=−0.1,0,0.1,0.2,0.4,0.6,0.8
a
b
c
Πij∗
a
b
c
σ=4.1
σ=11.8
t2
t4
t7