Solving the population balance equation for non-inertial particles dynamics using probability density function and neural networks: Application to a sooting flame-Reference-Cited by-同舟云学术

Solving the population balance equation for non-inertial particles dynamics using probability density function and neural networks: Application to a sooting flame

Published:2021-01-01 Issue:1 Volume:33 Page:013311
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Seltz Andrea¹,Domingo Pascale¹^ORCID,Vervisch Luc¹^ORCID

Affiliation:

1. CORIA - CNRS, Normandie Université, INSA de Rouen, Technopole du Madrillet, BP 8, 76801 Saint-Etienne-du-Rouvray, France

Funder

Association Nationale de la Recherche et de la Technologie

Safran

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0031144

Reference68 articles.

1. D. Ramkrishna,Population Balances Theory and Applications to Particulate Systems in Engineering(Academic Press, San Diego, 2000), p. 356.

2. D. L. Marchisio and R. O. Fox,Computational Models for Polydisperse Particulate and Multiphase Systems(Cambridge University Press, 2013), p. 508.

3. Computational Models for Turbulent Reacting Flows

4. The Foundation of the Population Balance Equation: A Review

5. A hybrid stochastic/fixed-sectional method for solving the population balance equation

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