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@ARTICLE{Peravali:611460,
      author       = {Peravali, Surya Kiran and Jafari, Vahid and Samanta, Amit
                      K. 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}},
      reportid     = {PUBDB-2024-04925, arXiv:2401.13344},
      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<0.1). 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). Keywords: DSMC; SPARTA; Continuum
                      assumption; Transition regime; Rarefied flow;
                      high-performance computing},
      cin          = {FS-CFEL-CMI / HSU / UNI/CUI / UNI/EXP},
      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)25},
      eprint       = {2401.13344},
      howpublished = {arXiv:2401.13344},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2401.13344;\%\%$},
      doi          = {10.3204/PUBDB-2024-04925},
      url          = {https://bib-pubdb1.desy.de/record/611460},
}