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Communication Dans Un Congrès Année : 2022

High-fidelity multi-scale simulation of air-blast atomization with drop size comparison against experiments

Résumé

Air-blast atomization is a widely used spraying strategy where a high-speed gas shears and fragments a low-speed liquid, converting its kinetic energy into surface energy. Computational predictions of drop sizes in air-blast atomization present significant challenges, in part because of the wide range of length and time scales governing the process. In this work, we employ a high-fidelity multi-scale atomization modeling strategy wherein multiple simulation domains are interfaced, with each domain tackling a different length scale of the problem. Upstream, we simulate the internal gas flow of the nozzle using a fairly inexpensive single-phase solver. This generates the gas inflow conditions for a volume-of-fluid (VOF) two-phase flow simulation of the spray formation region where sheets and ligaments are shed off the liquid core, generating a large number of drops. In stand-alone VOF simulations, droplet size distributions are based off broken liquid structures, limiting the smallest drop size to be on the order of the mesh size and making such measurements strongly mesh dependent. In contrast, we use a break up model that converts thin liquid structures into spherical Lagrangian particles which are transferred to an Euler-Lagrange simulation focused on the spray dispersion region. We compare droplet statistics generated with this multi-scale spray modeling strategy against experimental measurements.
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Dates et versions

hal-03761755 , version 1 (26-08-2022)

Identifiants

  • HAL Id : hal-03761755 , version 1

Citer

Lam Vu, Austin Han, Nathanaël Machicoane, Olivier Desjardins. High-fidelity multi-scale simulation of air-blast atomization with drop size comparison against experiments. 32nd Annual Conference on Liquid Atomization and Spray Systems (ILASS-Americas 2022), May 2022, Madison, WI, United States. ⟨hal-03761755⟩

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