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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},
}