Waseem, Maryum, Tofighian, Hesam et Tarokh, Ali.
2025.
« Numerical investigation of particle preferential concentration in homogeneous turbulence using DNS ».
In Proceedings of the CSME-CFDSC-CSR 2025 International Congress (Montreal, QC, Canada, May 25-28, 2025)
Coll. « Progress in Canadian Mechanical Engineering », vol. 8.
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Résumé
This study aims to establish a quantitative relationship between particle preferential concentration and key governing variables—fluid-to-particle density ratio (rho_f/rho_p) and Stokes number (St_k)—in homogeneous, isotropic turbulence. Using Direct Numerical Simulations (DNS) with two-way coupling, we analyze particle-laden flows in an Eulerian-Lagrangian framework with a uniform mesh resolution of 128^3 and a particle volume fraction of 10^(-3). The simulations isolate the effects of density ratio at a fixed Stokes number (St = 1) and explore the influence of varying St_k to understand the interplay between particle inertia and turbulent structures.Results reveal a non-monotonic relationship between particle density and clustering, with maximum preferential concentration observed at rho_p = 500 and reduced clustering at intermediate densities (rho_p = 300). For varying Stokes numbers, clustering peaks at St_k = 1 and diminishes at both lower and higher values, consistent with the centrifuge effect. Correlation trends between particle number density and the Q-criterion align with theoretical expectations, showing a consistent negative relationship that supports the centrifuge effect. However, the weak magnitude of these correlations suggests that the relationship is not strongly quantifiable, highlighting the influence of additional factors such as turbulence intermittency and particle-particle interactions. Snapshots of particle distributions and Radial Distribution Function (RDF) analyses further illustrate the preferential accumulation of particles in strain-dominated regions and their avoidance of vortex cores.These findings highlight the critical roles of particle density and inertia in modulating preferential concentration. By combining high-fidelity simulations with systematic analysis, this study advances the understanding of particle-turbulence interactions and provides a robust framework for future investigations. The study underscores the need for alternative turbulence metrics to fully capture preferential concentration mechanisms and offers a foundation for improved predictive models in applications ranging from aerosol dynamics to chemical reactor design.
| Type de document: | Compte rendu de conférence |
|---|---|
| Éditeurs: | Éditeurs ORCID Hof, Lucas A. NON SPÉCIFIÉ Di Labbio, Giuseppe NON SPÉCIFIÉ Tahan, Antoine NON SPÉCIFIÉ Sanjosé, Marlène NON SPÉCIFIÉ Lalonde, Sébastien NON SPÉCIFIÉ Demarquette, Nicole R. NON SPÉCIFIÉ |
| Date de dépôt: | 18 déc. 2025 15:33 |
| Dernière modification: | 18 déc. 2025 15:33 |
| URI: | https://espace2.etsmtl.ca/id/eprint/32523 |
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