Journal Article

PUBDB-2023-07769

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Accuracy and Performance Evaluation of Low Density Internal and External Flow Predictions using CFD and DSMC

Peravali, S. K.CFEL*Extern*DESY* ; Samanta, A. K.CFEL*XFEL.EU*DESY* ; Küpper, J.CFEL*XFEL.EU*DESY* ; Amin, M.CFEL*Extern*DESY* ; Neumann, P. ; Breuer, M. (Corresponding author)

2024
Elsevier Science Amsterdam [u.a.]

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Please use a persistent id in citations: doi:10.1016/j.compfluid.2024.106346  doi:10.3204/PUBDB-2023-07769

Report No.: arXiv:2401.13344

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).

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Contributing Institute(s):

1. CFEL-CMI (FS-CFEL-CMI)
2. Helmut Schmidt University (HSU)
3. beauftragt von UNI (UNI/CUI)
4. Uni Hamburg / Experimentalphysik (UNI/EXP)

Research Program(s):

1. 631 - Matter – Dynamics, Mechanisms and Control (POF4-631) (POF4-631)
2. HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002) (2019_IVF-HIDSS-0002)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2024

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Peravali, S. K.CFEL*Extern*DESY* ; Jafari, V. ; Samanta, A. K.CFEL*XFEL.EU*DESY* ; Küpper, J.CFEL*XFEL.EU*DESY* ; Amin, M.CFEL*Extern*DESY* ; Neumann, P.Extern*DESY* ; Breuer, M. (Corresponding author)CFEL*
Accuracy and Performance Evaluation of Low Density Internal and External Flow Predictions using CFD and DSMC
[10.3204/PUBDB-2024-04925]     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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