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Transversely rotating angular particle in an inertial flow at moderate Reynolds numbers

Published online by Cambridge University Press:  19 June 2025

Guodong Gai
Affiliation:
Department of Mathematics, University of British Columbia, Vancouver, BC, Canada
Anthony Wachs*
Affiliation:
Department of Mathematics, University of British Columbia, Vancouver, BC, Canada Department of Chemical & Biological Engineering, University of British Columbia, Vancouver, BC, Canada
*
Corresponding author: Anthony Wachs, wachs@math.ubc.ca

Abstract

We investigate the dynamics, wake instabilities and regime transitions of inertial flow past a transversely rotating angular particle. We first study the transversely rotating cube with a four-fold rotational symmetry axis (RCF4), elucidating the mechanisms of vortex generation and the merging process on the cube surface during rotation. Our results identify novel vortex shedding structures and reveal that the rotation-enhanced merging of streamwise vortex pairs is the key mechanism driving vortex suppression. The flow inertia and particle rotation are demonstrated to be competing factors that influence wake instability. We further analyse the hydrodynamic forces on the rotating cube, with a focus on the Magnus effect, highlighting the influence of sharp edges on key parameters such as lift, drag, rotation coefficients and the shedding frequency. We note that the lift coefficient is independent of flow inertia at a specific rotation rate. We then examine more general angular particles with different numbers of rotational symmetry folds – RTF3 (three-fold tetrahedron), RCF3 (three-fold cube) and ROF4 (four-fold octahedron) – to explore how particle angularity and rotational symmetry affect wake stability, regime transitions and hydrodynamic forces. We show that the mechanisms of vortex generation and suppression observed in RCF4 apply effectively to other angular particles, with the number of rotational symmetry folds playing a crucial role in driving regime transitions. An increased rotational symmetry fold enhances vortex merging and suppression. Particle angularity has a pronounced influence on hydrodynamic forces, with increased angularity intensifying the Magnus effect. Furthermore, the number of effective faces is demonstrated to have a decisive impact on the shedding frequency of the wake structures. Based on the number of effective faces during rotation, we propose a generic model to predict the Strouhal number, applicable to all the angular particles studied. Our results demonstrate that the particle angularity and rotational symmetry can be effectively harnessed to stabilise the wake flow. These findings provide novel insights into the complex interactions between particle geometry, rotation and flow instability, advancing the understanding of the role sharp edges play in inertial flow past rotating angular particles.

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 (https://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), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Computational domain and wake structures of the flow past a rotating cube at $\Omega =0.3$ and ${{R}e}=200$ with a four-fold rotational symmetry axis (RCF4) aligned along the $z$-axis. Vortical structures, identified by $\lambda _2=-1$, are coloured by the streamwise velocity $u_x$ (red indicating high velocity, blue indicating low velocity). The right panels show adaptive mesh refinement on both the $x$-$z$ and $x$-$y$ cut planes.

Figure 1

Figure 2. Distribution of Lagrange multipliers (white dots) on the surface of three Platonic polyhedrons (tetrahedron $\phi =0.67$, cube $\phi =0.806$ and octahedron $\phi =0.846$), illustrating their edge lengths ($l_{edge}$), number of faces ($n_{\textit{face}}$) and axis of rotation with their corresponding number of rotational symmetry folds.

Figure 2

Figure 3. Validation of the evolution of $\overline {C_d}$ and $\overline {C_{l,y}}$ as a function of $\Omega$ in the flow past a rotating sphere. The solid lines represent our numerical results at different Reynolds numbers $100 \leqslant {{R}e} \leqslant 500$. These results are compared with the data from Giacobello et al. (2009) and Poon et al. (2014), shown by markers of matching colours.

Figure 3

Figure 4. Regime map of the flow past the transversely rotating RCF4 cube at $40 \leqslant {{R}e} \leqslant 400$ and $0.02 \leqslant \Omega \leqslant 1$: steady vortical (SV, ), unsteady vortical (UV, ), periodic hairpin vortex shedding (HS, ), vortex suppression (VS, ), shear-induced shedding (KH, ), double shear-induced shedding (DS, ) and chaotic shedding (CS, ) regime.

Figure 4

Figure 5. Vortex generation mechanism on the surface and in the wake of the slowly rotating RCF4 cube. (a) Schematic of vortex generation on the front surface (left subpanels with black backgrounds) and in the wake of fixed cubes (right subpanels with white backgrounds), with one edge and one face facing the incoming flow ($x^+$ direction). In all subpanels, red and blue regions indicate positive and negative $\omega _x$, respectively. (b) Regime transition sequence for a slowly rotating cube at ${{R}e}=60$ and $\Omega = 0.02$, compared with the regime transition in the flow past a fixed cube with an edge or a face facing the flow. The temporal evolution of the vorticity pattern $\omega _x$ in the particle wake is illustrated, along with side views of the isosurfaces $\omega _x = \pm 0.03$.

Figure 5

Figure 6. Visualisation of vortex merging on the front surface of the rotating RCF4 cube in the $y$-$z$ plane at $x = x_p - 0.1$, with red and blue regions representing positive and negative $\omega _x$, respectively. Flow streamlines are included to enhance the visualisation of the wake vortices. The various flow regimes are highlighted in colour-coded boxes, and the cube projected outline on the $y$-$z$ plane is sketched for reference.

Figure 6

Figure 7. Visualisation of vortex pair generation near the rear surface of the rotating RCF4 cube in the $y$-$z$ plane at $x = x_p + 0.6$, with red and blue regions representing positive and negative $\omega _x$, respectively. Flow streamlines are included to enhance the visualisation of the wake vortices. The various flow regimes are highlighted in colour-coded boxes, and the projected outline of the cube on the $y$-$z$ plane is sketched for reference.

Figure 7

Figure 8. Vortical structures identified by $\lambda _2=-1$ in the wake of the rotating RCF4 cube (a) at ${{R}e}=160$ and (b) at $\Omega =0.3$ in the $x$-$y$ plane. The red and blue regions indicate positive and negative disturbed velocity, $\tilde {u}_x \in [-0.1,0.1]$, respectively. Flow streamlines based on $\boldsymbol{\tilde {u}}$ are plotted to enhance the clarity of the wake flow field. The different flow regimes are distinguished by colour-coded boxes on the left of each subpanel.

Figure 8

Figure 9. Evolution of streamwise vortex pairs identified by isosurfaces of $\omega _x=\pm 0.03$ (red for positive $\omega _x$ and blue for negative $\omega _x$) in the $x$-$z$ plane. Lower panel shows snapshots of temporal evolution of the core of the vortex pairs identified by $\omega _x=\pm 1$ within a single rotation period.

Figure 9

Figure 10. Vortical structures identified by $\lambda _2=-1$ in the wake of the rotating RCF4 cube at (a) ${{R}e}=250$, (b) ${{R}e}=300$ and (c) ${{R}e}=400$. The red and blue regions indicate positive and negative disturbed velocity, $\tilde {u}_x \in [-0.1,0.1]$, respectively. Flow streamlines based on $\boldsymbol{\tilde {u}}$ are plotted to enhance the clarity of the wake vortex patterns. The different flow regimes are distinguished by colour-coded boxes, corresponding to each rotation rate.

Figure 10

Figure 11. (a) Evolution of the time-averaged lift coefficient $\overline {C_{l,y}}$ of the rotating RCF4 cube as a function of $\Omega$ at $40 \leqslant {{R}e} \leqslant 200$ with increment $\Delta {{R}e}=20$. Our numerical simulation results (coloured circles) are compared with the empirical correlation proposed in (4.1) (dashed lines). (b) Evolution of $\overline {C_{l,y}}$ at higher Reynolds numbers, $250 \leqslant {{R}e} \leqslant 400$ with increment $\Delta {{R}e}=50$. Darker circles indicate higher values of ${R}e$.

Figure 11

Figure 12. (a) Evolution of the time-averaged drag coefficient $\overline {C_d}$ of the rotating RCF4 cube as a function of $\Omega$ at $40 \leqslant {{R}e} \leqslant 400$. The increasing darkness of the circles represents higher flow inertia. (b) Evolution of the lift-to-drag ratio, $\overline {C_{l,y}}/\overline {C_d}$, as a function of $\Omega$ at $40 \leqslant {{R}e} \leqslant 400$. The increasing darkness of the circles represents higher ${R}e$.

Figure 12

Figure 13. Evolution of the time-averaged rotation coefficient $\overline {C_\Omega }$ of the rotating RCF4 cube as a function of $0.06 \leqslant \Omega \leqslant 1$ at $40 \leqslant {{R}e} \leqslant 400$. The increasing darkness of the circles represents higher ${R}e$. The rotation coefficient of a rotating sphere, $C_{\Omega , S} = 0.41$, is marked by a blue horizontal line for $\Omega \leqslant 0.5$, as reported by Clanet (2015), providing a comparative reference.

Figure 13

Figure 14. (a–c) Vortex shedding frequency $f$ spectrum of the rotating RCF4 cube at ${{R}e} = 80, 160$ and $400$. $I$ represents the frequency intensity obtained via FFT and is displayed on a linear scale in each panel. (d) Strouhal number $\mathcal{S}\textit{tr}$ of the primary and secondary peaks as a function of $\Omega$ for all values of $\Omega$ and ${R}e$ considered. The blue curve represents the fitting for the primary peak $\mathcal{S}\textit{tr}_1$, following $y=4\Omega /\pi$, while the red curve shows the imposed rotation rate, $y=\Omega$. The grey curve indicates the first harmonic of the primary peak frequency, and the yellow curve corresponds to the characteristic $\mathcal{S}\textit{tr}_0=0.11$ of the flow past a fixed cube (Gai & Wachs 2023b). Dashed lines in the corresponding colours are reported in panel (a–c) in each case.

Figure 14

Figure 15. Configuration of the flow past a transversely rotating angular particle at ${{R}e}=100$ and $\Omega =0.2$ with rotation axis along the $z$-direction, illustrating wake vortex structures identified by $\lambda _2 = -1$, coloured by the streamwise velocity $u_x$ (red for high velocity and blue for low velocity). (a) Rotating RTF3 tetrahedron with a three-fold axis, (b) rotating RCF3 cube with a three-fold axis and (c) rotating ROF4 octahedron with a four-fold axis.

Figure 15

Figure 16. Regime transitions of the flow past a rotating angular particle at ${{R}e}=60,100$ and $160$ for $0.02 \leqslant \Omega \leqslant 1$. Onset of vortex suppression for RTF3 (), RCF3 (), RCF4 () and ROF4 ().

Figure 16

Figure 17. Evolution of wake structures before and after the vortex suppression in the flow past a rotating angular particle at ${{R}e}=100$. Side view of the wake structures, identified by $\lambda _2=-1$ and coloured by $u_x$, are shown for comparison between the (a) three-fold cases and (b) four-fold cases. Top views of the wake structures, identified by vorticity $\omega _x=\pm 0.03$ in the $x$-$z$ plane, are compared for the (c) three-fold cases and (d) four-fold cases. The $\omega _x$ distribution in the $y$-$z$ plane at $x=x_p+1.5$ are also depicted in panels (c) and (d).

Figure 17

Figure 18. Evolution of $\overline {C_{l,y}}$ of a rotating angular particle as a function of $\Omega$ at ${{R}e} = 60$, $100$ and $160$: (a) RTF3; (b) RCF3 and (c) ROF4.

Figure 18

Figure 19. Effects of particle angularity on the hydrodynamic forces exerted on a rotating angular particle: (a) lift coefficient $\overline {C_{l,y}}$ at ${{R}e}=100$; (b) drag coefficient $\overline {C_{d}}$ at ${{R}e}=100$; (c) rotation coefficient $\overline {C_{\Omega }}$ at ${{R}e}=100$ and (d) the lift-to-drag ratio $\overline {C_{l,y}}/\overline {C_{d}}$ at ${{R}e}=60$$160$. The case of the flow past a rotating $RSF\infty$ sphere at ${{R}e}=100$ is provided as a reference and shown by the black solid lines.

Figure 19

Figure 20. $\mathcal{S}\textit{tr}$ of the primary and secondary peaks as a function of $\Omega$ for (a) RTF3, (b) ROF4 and (c) RCF3. The blue curve represents the proposed model for the primary peak $\mathcal{S}\textit{tr}_1$, while the red curve corresponds to $y = \Omega$. The grey curve indicates the first harmonic of the primary peak frequency, and the yellow curve denotes the characteristic $\mathcal{S}\textit{tr}_0$ of the flow past a fixed tetrahedron $\mathcal{S}\textit{tr}_0=0.11$ in panel (a), a fixed octahedron $\mathcal{S}\textit{tr}_0=0.12$ in panel (b) and a fixed cube $\mathcal{S}\textit{tr}_0=0.11$ in panel (c) (Gai & Wachs 2023b). (d) Rear view of RCF3 with snapshots showing incremental rotation angles ($\varDelta \Xi = \pi /3$) over a complete rotation period, where the six effective faces of RCF3 are depicted in different colours.

Figure 20

Figure 21. (a) Mesh convergence of $\overline {C_d}$ in the flow past a fixed tetrahedron at ${{R}e} = 100$ with grid refinement. $L_0$ denotes the dimensionless domain size, $n_l$ the adaptive grid refinement level, $N_{cell}$ the total number of cells and $1/\Delta x$ the number of cells per equivalent diameter. (b) Validation of $\overline {C_d}$ as a function of ${R}e$ in the flow past a fixed cube with a face facing the flow, compared with Richter & Nikrityuk (2012).

Figure 21

Figure 22. Temporal evolution of $C_d$ and $C_{l,y}$ of the rotating RCF4 cube at: (a,b) ${{R}e}=100$ and $\Omega =0.1$, with increasing time step magnitude from $\Delta t = 5\times 10^{-4}$ to $5\times 10^{-3}$; (c,d) ${{R}e}=100$ and $\Omega =0.8$, from $\Delta t = 5\times 10^{-4}$ to $1\times 10^{-3}$.

Figure 22

Figure 23. Vortex shedding and suppression in the wake of the rotating RCF4 cube in the $x$-$y$ plane at $0.02 \leqslant \Omega \leqslant 1$ and $40\leqslant {{R}e}\leqslant 400$. Isosurfaces are identified using the criterion $\lambda _2 = -1$, and coloured by streamwise velocity $u_x$, with red indicating high velocity and blue indicating low velocity.

Figure 23

Figure 24. Evolution of recirculation region length $L_r$ and volume $V_r$ in the wake of a transversely rotating angular particle. RCF4: (a) $L_r$ as a function of ${R}e$ for increasing $\Omega$, with reference values of the flow past a fixed cube plotted as grey dots; (b) $V_r$ as a function of ${R}e$ for different $\Omega$; (c) $V_r$ as a function of $\Omega$ for different ${R}e$. The effects of particle angularity on $L_r$ and $V_r$ as a function of $\Omega$ are depicted in panels (d) and (e), respectively.

Figure 24

Figure 25. (a) Evolution of the time-averaged drag coefficient $\overline {C_{d}}$ of the rotating RCF4 cube as a function of $\Omega$ at $40 \leqslant {{R}e} \leqslant 200$ with increment $\Delta {{R}e}=20$. (b) Evolution of $\overline {C_{\Omega }}$ at $40 \leqslant {{R}e} \leqslant 200$ with increment $\Delta {{R}e}=20$ and $0.06 \leqslant \Omega \leqslant 1$. Our numerical simulation results (coloured circles) are compared with the empirical correlations from (E1) for $C_d$ and (E2) for $C_{\Omega }$, shown by dashed lines. Darker circles indicate higher values of ${R}e$.

Figure 25

Figure 26. (a) Time-averaged torque $\overline {T_z}$ of the rotating RCF4 cube as a function of $0.02 \leqslant \Omega \leqslant 1$ at $40 \leqslant {{R}e} \leqslant 200$. The increasing darkness of the circles represents higher ${R}e$. For comparison, the empirical correlation in (F1) is illustrated by the dashed lines. (b) Effects of particle angularity on the $\overline {T_z}$ exerted on a rotating particle at ${{R}e}=100$. The case of a rotating sphere ($RSF\infty$) at ${{R}e}=100$ is provided as a reference and shown by the black solid line with circles.