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On the relevance of lift force modelling in turbulent wall flows with small inertial particles

Published online by Cambridge University Press:  25 July 2024

Wei Gao*
Affiliation:
Mechanical Engineering, Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaApplied Mathematics and Computational Science, Computer Electrical and Mathematical Science and Engineering Division, Extreme Computing Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
Pengyu Shi
Affiliation:
Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, FranceHelmholtz-Zentrum Dresden – Rossendorf, Institute of Fluid Dynamics, 01328 Dresden, Germany
Matteo Parsani
Affiliation:
Mechanical Engineering, Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaApplied Mathematics and Computational Science, Computer Electrical and Mathematical Science and Engineering Division, Extreme Computing Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
Pedro Costa
Affiliation:
Process and Energy Department, TU Delft, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
*
†Email address for correspondence: wei.gao@kaust.edu.sa

Abstract

In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been observed recently in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead, point-particle simulations have been the method of choice to simulate the dynamics of these flows during the last decades. While this approach is simpler, cheaper and physically sound for small inertial particles in turbulence, some issues remain. In the present work, we address challenges associated with lift force modelling in turbulent wall flows and the impact of lift forces in the near-wall flow. We performed direct numerical simulations of small inertial point particles in turbulent channel flow for fixed Stokes number and mass loading while varying the particle size. Our results show that the particle dynamics in the buffer region, causing the apparent particle-to-fluid slip velocity to vanish, raises major challenges for modelling lift forces accurately. While our results confirm that lift forces have little influence on particle dynamics for sufficiently small particle sizes, for inner-scaled diameters of order one and beyond, lift forces become quite important near the wall. The different particle dynamics under lift forces results in the modulation of streamwise momentum transport in the near-wall region. We analyse this lift-induced turbulence modulation for different lift force models, and the results indicate that realistic models are critical for particle-modelled simulations to correctly predict turbulence modulation by particles in the near-wall region.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press.
Figure 0

Figure 1.(a) Normalized particle volume fraction $\phi /\varPhi$. Outer-scaled second-order moments of particle velocity: (b) streamwise velocity root mean square, (c) wall-normal velocity root mean square, (d) Reynolds shear stress profile. The points denote the corresponding lift-included 1WC PP-DNS from Costa et al. (2020b). Here, $U_b$ is the flow bulk velocity.

Figure 1

Table 1.Physical parameters used in the present point-particle DNS campaign: $N_p$ denotes the total number of particles, and $D^+$ is the inner-scaled particle diameter. The particle density ratio was adjusted to keep the same value of the Stokes number $St^+=\tau _{p}/(\nu /u_\tau ^2) = 50$ and bulk solid mass fraction $\varPsi _m = 0.337$ for all cases.

Figure 2

Figure 2.Local particle volume fraction $\phi$, normalized by the bulk value $\varPhi$, as a function of the wall-normal distance (1WC): (a) CL1, (b) CM1, (c) CS1. The insets show the normalized particle volume fraction versus the inner-scaled wall distance.

Figure 3

Figure 3.Inner-scaled instantaneous streamwise velocity fluctuation and the corresponding instantaneous snapshots of particle locations in the $x$–$z$ plane ($y^+=12$, left-hand column) and $y$–$z$ plane ($x^+=540$, right-hand column) (case CL1, 1WC). The wall-parallel plane shows all particles with inner-scaled wall normal position $Y_p^+ \le 12$. (a) Lift-free, (b) Saffman model, (c) Mei model, (d) CBP model.

Figure 4

Figure 4.Probability density functions (p.d.f.s) of inner-scaled streamwise fluid velocity fluctuations conditioned at the particle location within the $y^+ \le 12$ region (1WC): (a) CL1, (b) CM1, (c) CS1.

Figure 5

Figure 5.Inner-scaled streamwise mean particle velocity and slip velocity profiles (1WC): (a,d) CL1, (b,e) CM1, (c,f) CS1. The horizontal dashed lines denote $\langle u_s \rangle = 0$.

Figure 6

Figure 6.Second-order moments of mean particle (solid lines) and fluid (dashed lines) velocity (1WC). (a–c) Inner-scaled streamwise and (d–f) wall-normal velocity variances, and (g–i) Reynolds shear stress profiles, where (a,d,g), (b,e,h) and (c,f,i) denote cases CL1, CM1 and CS1, respectively.

Figure 7

Figure 7.Illustration of the interplay between different mechanisms responsible for the wall-normal particle transport.

Figure 8

Figure 8.The inner-scaled lift-induced acceleration (i.e. normalized by $u^3_{\tau }/\nu$) profiles along the wall-normal direction (1WC): (a) CL1, (b) CM1, (c) CS1. The horizontal dashed lines denote $\langle F_{l,y} \rangle = 0$.

Figure 9

Figure 9.Joint p.d.f.s of the streamwise and wall-normal fluid fluctuating velocities seen by ascending ($v_p >0$) and descending ($v_p <0$) particles within the $y^+ \le 12$ region (1WC): (a) CL1, (b) CM1, (c) CS1. The numbers in the images denote the proportion of ascending particles.

Figure 10

Figure 10.The p.d.f.s of $u_s/(\omega _z D)$ along the wall-normal direction (1WC DNS with the CBP model): (a) CL1, (b) CM1, (c) CS1. The vertical dashed lines denote $u_s/(\omega _z D) = \pm 1$.

Figure 11

Figure 11.The wall friction coefficient $C_f$ versus the particle diameter $D^+$ (2WC). The horizontal dashed line denotes the mean $C_f$ of the particle-free case.

Figure 12

Figure 12.(a,c,e) Budget of streamwise momentum and (b,d,f) contribution of each stress contribution $\tau _i$ to the mean wall friction coefficient $C_f=2\tau _w/(\rho U_b^2)$, i.e. $(1/h^2)\int _0^h 6 (h-y) \tau _i \,\mathrm {d}y/(\rho U_b^2)$ normalized by that of the particle-free case: (a,b) CL1, (c,d) CM1, (e,f) CS1. Different line colours in (a,c,e) denote different cases, which match the legend in (c).