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Conditional moment methods for polydisperse cavitating flows

delete2023-03-01
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S
Spencer H. Bryngelson *
R
Rodney O. Fox
T
Tim Colonius
DOI:10.1016/j.jcp.2023.111917delete
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摘要

摘要

En 中文
The dynamics of cavitation bubbles are important in many flows, but their small sizes and high number densities often preclude direct numerical simulation. We present a computa-tional model that averages their effect on the flow over larger spatiotemporal scales. The model is based on solving a generalized population balance equation (PBE) for nonlinear bubble dynamics and explicitly represents the evolving probability density of bubble radii and radial velocities. Conditional quadrature-based moment methods (QBMMs) are adapted to solve this PBE. A one-way-coupled bubble dynamics problem demonstrates the efficacy of different QBMMs for the evolving bubble statistics. Results show that enforcing hyper-bolicity during moment inversion (CHyQMOM) provides comparable model-form accuracy to the traditional conditional method of moments and decreases computational costs by about ten times for a broad range of test cases. The CHyQMOM-based computational model is implemented in MFC, an open-source multi-phase and high-order-accurate flow solver. We assess the effect of the model and its parameters on a two-way coupled bubble screen flow problem.(c) 2023 Elsevier Inc. All rights reserved.
Keyword:
Bubbly flow
Cavitation
Population balance modeling
Quadrature-based moment methods
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期刊

Journal of Computational Physics 封面图
Journal of Computational Physics
IF:
3.8
论文数:
1.6W
被引数:
7.4W

机构

G
Georgia Institute of Technology
学者数:
1.8W
论文数: 1.4W
被引数: 5.9W
I
Iowa State University
学者数:
2.1W
论文数: 1.8W
被引数: 2.5W
U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
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