Brownian coagulation in the spatial mixing layer with AK-iDNS
ID:61
Submission ID:136 View Protection:ATTENDEE
Updated Time:2025-10-09 10:19:15
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Invited speech
Start Time:2025-10-12 08:00 (Asia/Shanghai)
Duration:20min
Session:[S3] Computational heat transfer and fluid dynamics » [S4-2] Session 4-2: Computational multi-component and multiphase flows
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Abstract
This study investigates the evolution of nanoparticle populations undergoing Brownian coagulation in a spatial mixing layer. The dynamics of particle size distribution and number concentration are analyzed using a coupled Eulerian approach that combines fluid dynamics with aerosol dynamics. The mixing layer serves as a fundamental flow configuration to understand particle-vortex interactions and their effect on coagulation rates. Results demonstrate that the shear-induced spatial mixing significantly influences the spatial distribution of nanoparticles and their subsequent coagulation behavior. The enhanced mixing in the shear layer leads to locally increased particle collision frequencies, accelerating the coagulation process compared to laminar conditions. The study reveals that the evolution of the particle size distribution is strongly dependent on both the local vorticity intensity and the initial particle concentration gradients across the mixing layer.
Keywords
population balance equation; particle laden flow; Brownian coagulation; spatial mixing layer; average kernel method; direct numerical simulation
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