The paper provides an overview of the challenges and progress associated with the task of numerically predicting particle-laden turbulent flows. The review covers the mathematical methods based on turbulence closure models as well as direct numerical simulation (DNS). In addition, the statistical (pdf) approach in deriving the dispersed-phase transport equations is discussed. The review is restricted to incompressible, isothermal flows without phase change or particle-particle collision. Suggestions are made for improving closure modelling of some important correlations.(more)
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%0 Journal Article
%1 citeulike:12029684
%A Elghobashi, S.
%B Applied Scientific Research
%D 1994
%I Kluwer Academic Publishers
%K 76t15-dusty-gas-two-phase-flows 76f25-turbulent-transport-mixing
%N 4
%P 309--329
%R 10.1007/bf00936835
%T On predicting particle-laden turbulent flows
%U http://dx.doi.org/10.1007/bf00936835
%V 52
%X The paper provides an overview of the challenges and progress associated with the task of numerically predicting particle-laden turbulent flows. The review covers the mathematical methods based on turbulence closure models as well as direct numerical simulation (DNS). In addition, the statistical (pdf) approach in deriving the dispersed-phase transport equations is discussed. The review is restricted to incompressible, isothermal flows without phase change or particle-particle collision. Suggestions are made for improving closure modelling of some important correlations.
@article{citeulike:12029684,
abstract = {{The paper provides an overview of the challenges and progress associated with the task of numerically predicting particle-laden turbulent flows. The review covers the mathematical methods based on turbulence closure models as well as direct numerical simulation (DNS). In addition, the statistical (pdf) approach in deriving the dispersed-phase transport equations is discussed. The review is restricted to incompressible, isothermal flows without phase change or particle-particle collision. Suggestions are made for improving closure modelling of some important correlations.}},
added-at = {2017-06-29T07:13:07.000+0200},
author = {Elghobashi, S.},
biburl = {https://www.bibsonomy.org/bibtex/2fab9b434a462138b2a3d096ad56304a3/gdmcbain},
booktitle = {Applied Scientific Research},
citeulike-article-id = {12029684},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/bf00936835},
citeulike-linkout-1 = {http://link.springer.com/article/10.1007/BF00936835},
doi = {10.1007/bf00936835},
interhash = {ce020a9065e3bca38c4a29ada7ce2942},
intrahash = {fab9b434a462138b2a3d096ad56304a3},
keywords = {76t15-dusty-gas-two-phase-flows 76f25-turbulent-transport-mixing},
number = 4,
pages = {309--329},
posted-at = {2016-09-02 04:49:37},
priority = {2},
publisher = {Kluwer Academic Publishers},
timestamp = {2019-04-02T01:44:20.000+0200},
title = {{On predicting particle-laden turbulent flows}},
url = {http://dx.doi.org/10.1007/bf00936835},
volume = 52,
year = 1994
}