Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow

The quadrature method of moments was used for solving the problem of modeling the dynamics of inertial polydisperse particles. Dispersed phase models that assumed particle distribution over size, mean velocity for all particles, and mean velocity conditioned by particle size were implemented. The co...

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Main Authors: A.K. Gilfanov, R.R. Salakhov, T.S. Zaripov
Format: Article
Language:English
Published: Kazan Federal University 2020-06-01
Series:Учёные записки Казанского университета. Серия Физико-математические науки
Subjects:
Online Access:https://kpfu.ru/uz-eng-phm-2020-2-2.html
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author A.K. Gilfanov
R.R. Salakhov
T.S. Zaripov
author_facet A.K. Gilfanov
R.R. Salakhov
T.S. Zaripov
author_sort A.K. Gilfanov
collection DOAJ
description The quadrature method of moments was used for solving the problem of modeling the dynamics of inertial polydisperse particles. Dispersed phase models that assumed particle distribution over size, mean velocity for all particles, and mean velocity conditioned by particle size were implemented. The comparison of the models was performed in the problem of moving evaporating particles in the vortex flow with using the Lagrangian approach as a reference method. The qualitative agreement of particle number density fields obtained by the methods of moments and the Lagranigan approach was demonstrated. It was shown that using models with two and three conditioned mean velocities results in the qualitative agreement of the mean size and variance fields obtained by the methods of moments and the Lagranigan approach.
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spelling doaj.art-fb1fa71cbe744c57a4554d32393592b12023-01-03T09:49:36ZengKazan Federal UniversityУчёные записки Казанского университета. Серия Физико-математические науки2541-77462500-21982020-06-01162212013610.26907/2541-7746.2020.2.120-136Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flowA.K. Gilfanov0R.R. Salakhov1T.S. Zaripov2Kazan Federal University, Kazan, 420008 RussiaKazan Federal University, Kazan, 420008 RussiaUniversity of Brighton, Brighton, BN2 4AT EnglandThe quadrature method of moments was used for solving the problem of modeling the dynamics of inertial polydisperse particles. Dispersed phase models that assumed particle distribution over size, mean velocity for all particles, and mean velocity conditioned by particle size were implemented. The comparison of the models was performed in the problem of moving evaporating particles in the vortex flow with using the Lagrangian approach as a reference method. The qualitative agreement of particle number density fields obtained by the methods of moments and the Lagranigan approach was demonstrated. It was shown that using models with two and three conditioned mean velocities results in the qualitative agreement of the mean size and variance fields obtained by the methods of moments and the Lagranigan approach.https://kpfu.ru/uz-eng-phm-2020-2-2.htmlmethod of momentspolydisperse aerosolvortex flowinertial particles
spellingShingle A.K. Gilfanov
R.R. Salakhov
T.S. Zaripov
Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
Учёные записки Казанского университета. Серия Физико-математические науки
method of moments
polydisperse aerosol
vortex flow
inertial particles
title Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
title_full Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
title_fullStr Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
title_full_unstemmed Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
title_short Mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
title_sort mathematical modeling of the dynamics of inertial polydisperse particles in a vortex flow
topic method of moments
polydisperse aerosol
vortex flow
inertial particles
url https://kpfu.ru/uz-eng-phm-2020-2-2.html
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