Papers
Topics
Authors
Recent
Search
2000 character limit reached

Undisturbed velocity recovery with transient and weak inertia effects in volume-filtered simulations of particle-laden flows

Published 13 May 2024 in physics.comp-ph and physics.flu-dyn | (2405.08188v1)

Abstract: In volume-filtered Euler-Lagrange simulations of particle-laden flows, the fluid forces acting on a particle are estimated using reduced models, which rely on the knowledge of the local undisturbed flow for that particle. Since the two-way coupling between the particle and the fluid creates a local flow perturbation, the filtered fluid velocity interpolated to the particle location must be corrected prior to estimating the fluid forces, so as to subtract the contribution of this perturbation and recover the local undisturbed flow with good accuracy. In this manuscript, we present a new model for estimating a particle's self-induced flow disturbance that accounts for its transient development and for inertial effects related to finite particle Reynolds numbers. The model also does not require the direction of the momentum feedback to align with the direction of the particle's relative velocity, allowing force contributions other than the steady drag force to be considered. It is based upon the linearization of the volume-filtered equations governing the particle's self-induced flow disturbance, such that their solution can be expressed as a linear combination of regularized transient Stokeslet contributions. Tested on a range of numerical cases, the model is shown to consistently estimate the particle's self-induced flow disturbance with high accuracy both in steady and highly transient flow environments, as well as for finite particle Reynolds numbers.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (43)
  1. T. B. Anderson, R. Jackson, Fluid Mechanical Description of Fluidized Beds. Equations of Motion, Industrial & Engineering Chemistry Fundamentals 6 (1967) 527–539.
  2. S. Balachandar, J. K. Eaton, Turbulent Dispersed Multiphase Flow, Annual Review of Fluid Mechanics 42 (2010) 111–133.
  3. P. Pepiot, O. Desjardins, Numerical analysis of the dynamics of two- and three-dimensional fluidized bed reactors using an Euler–Lagrange approach, Powder Technology 220 (2012) 104–121.
  4. J. Capecelatro, O. Desjardins, An Euler–Lagrange strategy for simulating particle-laden flows, Journal of Computational Physics 238 (2013) 1–31.
  5. Self-induced velocity correction for improved drag estimation in Euler–Lagrange point-particle simulations, Journal of Computational Physics 376 (2019) 160–185.
  6. S. Elghobashi, On predicting particle-laden turbulent flows, Applied Scientific Research 52 (1994) 309–329.
  7. M. R. Maxey, J. J. Riley, Equation of motion for a small rigid sphere in a nonuniform flow, The Physics of Fluids 26 (1983) 883–889.
  8. R. Gatignol, The Faxén formulas for a rigid particle in an unsteady non-uniform Stokes-flow, Journal de Mécanique Théorique et Appliquée 2 (1983) 143–160.
  9. L. Schiller, A. Naumann, Über die grundlegenden Berechnungen bei der Schwerkraftaufbereitung, Zeitschrift des Vereines Deutscher Ingenieure 77 (1933) 318–320.
  10. R. Clift, W. H. Gauvin, Motion of entrained particles in gas streams, The Canadian Journal of Chemical Engineering 49 (1971) 439–448.
  11. P. G. Saffman, The lift on a small sphere in a slow shear flow, Journal of Fluid Mechanics 22 (1965) 385–400.
  12. Direct numerical simulation of turbulence modulation by particles in isotropic turbulence, Journal of Fluid Mechanics 375 (1998) 235–263.
  13. S. Balachandar, A scaling analysis for point–particle approaches to turbulent multiphase flows, International Journal of Multiphase Flow 35 (2009) 801–810.
  14. Quantifying the errors of the particle-source-in-cell Euler-Lagrange method, International Journal of Multiphase Flow 135 (2021) 103535.
  15. The Particle-Source-In Cell (PSI-CELL) Model for Gas-Droplet Flows, Journal of Fluids Engineering 99 (1977) 325–332.
  16. Regularization of the Lagrangian point force approximation for deterministic discrete particle simulations, International Journal of Multiphase Flow 117 (2019) 138–152.
  17. A hybrid Eulerian-Lagrangian approach for simulating liquid sprays, in: 29th Conference on Liquid Atomization and Spray Systems, Paris.
  18. Y. Pan, S. Banerjee, Numerical simulation of particle interactions with wall turbulence, Physics of Fluids 8 (1996) 2733–2755.
  19. M. Maxey, B. Patel, Localized force representations for particles sedimenting in Stokes flow, International Journal of Multiphase Flow 27 (2001) 1603–1626.
  20. S. Lomholt, M. R. Maxey, Force-coupling method for particulate two-phase flow: Stokes flow, Journal of Computational Physics 184 (2003) 381–405.
  21. Exact regularized point particle method for multiphase flows in the two-way coupling regime, Journal of Fluid Mechanics 773 (2015) 520–561.
  22. Exact regularised point particle (ERPP) method for particle-laden wall-bounded flows in the two-way coupling regime, Journal of Fluid Mechanics 878 (2019) 420–444.
  23. J. Horwitz, A. Mani, Accurate calculation of Stokes drag for point–particle tracking in two-way coupled flows, Journal of Computational Physics 318 (2016) 85–109.
  24. J. Horwitz, A. Mani, Correction scheme for point-particle models applied to a nonlinear drag law in simulations of particle-fluid interaction, International Journal of Multiphase Flow 101 (2018) 74–84.
  25. P. J. Ireland, O. Desjardins, Improving particle drag predictions in Euler–Lagrange simulations with two-way coupling, Journal of Computational Physics 338 (2017) 405–430.
  26. M. Esmaily, J. Horwitz, A correction scheme for two-way coupled point-particle simulations on anisotropic grids, Journal of Computational Physics 375 (2018) 960–982.
  27. A correction scheme for wall-bounded two-way coupled point-particle simulations, Journal of Computational Physics 420 (2020) 109711.
  28. H. Wendland, Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree, Advances in Computational Mathematics 4 (1995) 389–396.
  29. Euler-Lagrange modelling of dilute particle-laden flows with arbitrary particle-size to mesh-spacing ratio, Journal of Computational Physics: X 8 (2020) 100078.
  30. S. Balachandar, K. Liu, A correction procedure for self-induced velocity of a finite-sized particle in two-way coupled Euler–Lagrange simulations, International Journal of Multiphase Flow 159 (2023) 104316.
  31. P. Pakseresht, S. V. Apte, A disturbance corrected point-particle approach for two-way coupled particle-laden flows on arbitrary shaped grids, Journal of Computational Physics 439 (2021) 110381.
  32. The discrete Green’s function paradigm for two-way coupled Euler–Lagrange simulation, Journal of Fluid Mechanics 931 (2022) A3.
  33. J. Kim, S. Balachandar, Finite volume fraction effect on self-induced velocity in two-way coupled Euler-Lagrange simulations, Physical Review Fluids 9 (2024) 034306.
  34. A hybrid immersed boundary method for dense particle-laden flows, Computers & Fluids 259 (2023) 105892.
  35. M. Uhlmann, A. Chouippe, Clustering and preferential concentration of finite-size particles in forced homogeneous-isotropic turbulence, Journal of Fluid Mechanics 812 (2017) 991–1023.
  36. Direct particle–fluid simulation of Kolmogorov-length-scale size particles in decaying isotropic turbulence, Journal of Fluid Mechanics 819 (2017) 188–227.
  37. The decay of isotropic turbulence carrying non-spherical finite-size particles, Journal of Fluid Mechanics 875 (2019) 520–542.
  38. D. A. Drew, Mathematical Modeling of Two-Phase Flow, Annual Review of Fluid Mechanics 15 (1983) 261–291.
  39. Study and derivation of closures in the volume-filtered framework for particle-laden flows (2024).
  40. H. Faxén, Der Widerstand gegen die Bewegung einer starren Kugel in einer zähen Flüssigkeit, die zwischen zwei parallelen ebenen Wänden eingeschlossen ist, Annalen der Physik 373 (1922) 89–119.
  41. A. T. Chan, A. T. Chwang, The unsteady stokeslet and oseenlet, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 214 (2000) 175–179.
  42. R. Cortez, The Method of Regularized Stokeslets, SIAM Journal on Scientific Computing 23 (2001) 1204–1225.
  43. Conservative finite-volume framework and pressure-based algorithm for flows of incompressible, ideal-gas and real-gas fluids at all speeds, Journal of Computational Physics 409 (2020) 109348.
Citations (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 1 tweet with 0 likes about this paper.