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@ARTICLE{Peravali:600116,
author = {Peravali, Surya Kiran and Samanta, Amit Kumar and Küpper,
Jochen and Amin, Muhamed and Neumann, Philipp and Breuer,
Michael},
title = {{A}ccuracy and {P}erformance {E}valuation of {L}ow
{D}ensity {I}nternal and {E}xternal {F}low {P}redictions
using {CFD} and {DSMC}},
journal = {Computers $\&$ fluids},
volume = {279},
issn = {0045-7930},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {PUBDB-2023-07769, arXiv:2401.13344},
pages = {106346},
year = {2024},
abstract = {The Direct Simulation Monte Carlo (DSMC) method was widely
used to simulate low density gas flows with large Knudsen
numbers. However, DSMC encounters limitations in the regime
of lower Knudsen numbers (Kn<0.05). In such cases,
approaches from classical computational fluid dynamics (CFD)
relying on the continuum assumption are preferred, offering
accurate solutions at acceptable computational costs. In
experiments aimed at imaging aerosolized nanoparticles in
vacuo a wide range of Knudsen numbers occur, which motivated
the present study on the analysis of the advantages and
drawbacks of DSMC and CFD simulations of rarefied flows in
terms of accuracy and computational effort. Furthermore, the
potential of hybrid methods is evaluated. For this purpose,
DSMC and CFD simulations of the flow inside a
convergent–divergent nozzle (internal expanding flow) and
the flow around a conical body (external shock generating
flow) were carried out. CFD simulations utilize the software
OpenFOAM and the DSMC solution is obtained using the
software SPARTA. The results of these simulation techniques
are evaluated by comparing them with experimental data (1),
evaluating the time-to-solution (2) and the energy
consumption (3), and assessing the feasibility of hybrid
CFD-DSMC approaches (4).},
cin = {FS-CFEL-CMI / HSU / UNI/CUI / UNI/EXP},
ddc = {004},
cid = {I:(DE-H253)FS-CFEL-CMI-20220405 / I:(DE-H253)HSU-20230616 /
$I:(DE-H253)UNI_CUI-20121230$ /
$I:(DE-H253)UNI_EXP-20120731$},
pnm = {631 - Matter – Dynamics, Mechanisms and Control
(POF4-631) / HIDSS-0002 - DASHH: Data Science in Hamburg -
Helmholtz Graduate School for the Structure of Matter
$(2019_IVF-HIDSS-0002)$},
pid = {G:(DE-HGF)POF4-631 / $G:(DE-HGF)2019_IVF-HIDSS-0002$},
experiment = {EXP:(DE-MLZ)NOSPEC-20140101},
typ = {PUB:(DE-HGF)16},
eprint = {2401.13344},
howpublished = {arXiv:2401.13344},
archivePrefix = {arXiv},
SLACcitation = {$\%\%CITATION$ = $arXiv:2401.13344;\%\%$},
UT = {WOS:001262149300001},
doi = {10.1016/j.compfluid.2024.106346},
url = {https://bib-pubdb1.desy.de/record/600116},
}