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Master Thesis

Particles Deposition on an Array of Spheres using a Hybrid Euler/Lagrange CFD Method

Abstract : A numerical method designed for calculation of particles deposition on spheres has been benchmarked. Air flows past singles spheres and linear arrays of eight spheres with various spacing have been solved using an Eulerian CFD-RANS method with RSM turbulence model. Simulations have been performed at Reynolds numbers between 6x103 and 1.2x104. Then particles tracking computations have been conducted using a Lagrangian method. Interactions between particles and turbulent velocity fluctuations have been computed using a stochastic model based on the Langevin equation. The particles Stokes number ranges from 0.03 to 4.5. Numerical results are compared to experimental data. For particles with very low inertia (Stk around 0.03) coherence between the two is not good. However because of the scattering of the data for this range of Stk values the computational method performance can hardly be judged by this comparison. For particles with higher inertia (Stk above 0.3) the coherence between results and data is quite good for close sphere: errors around 10 % only for a spacing of 1.5 diameters between two successive centers. Then the coherence deteriorates when the spacing increases: errors above 30 % for spacing above 2 diameters. This limitation of the numerical approach is probably due to the RANS resolution of the flow and then the lack of accuracy on turbulence intensity resolution. That is why applying the method with DES solved flows is proposed for future research but not tried because of time constrains.
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https://dumas.ccsd.cnrs.fr/dumas-00512041
Contributor : Lyon École Centrale <>
Submitted on : Friday, August 27, 2010 - 10:22:42 AM
Last modification on : Tuesday, November 19, 2019 - 11:52:11 AM
Long-term archiving on: : Monday, November 29, 2010 - 12:07:27 PM

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  • HAL Id : dumas-00512041, version 1

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Simon Martin. Particles Deposition on an Array of Spheres using a Hybrid Euler/Lagrange CFD Method. Fluids mechanics [physics.class-ph]. 2009. ⟨dumas-00512041⟩

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