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Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach

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Journal of Computational Physics

Swansea University Author: Ben Evans Orcid Logo

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DOI (Published version): 10.1016/j.jcp.2017.09.038

Abstract

This paper outlines a novel approach for solution of the Boltzmann-BGK equation describing molecular gas dynamics applied to the challenging problem of drag prediction of a 2D circular nano–particle at transitional Knudsen number (0.0214) and low Reynolds number (0.25–2.0). The numerical scheme util...

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Published in: Journal of Computational Physics
ISSN: 0021-9991
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa35652
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first_indexed 2017-09-26T13:00:56Z
last_indexed 2020-07-01T18:49:29Z
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spelling 2020-07-01T16:22:24.6426267 v2 35652 2017-09-26 Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false 2017-09-26 AERO This paper outlines a novel approach for solution of the Boltzmann-BGK equation describing molecular gas dynamics applied to the challenging problem of drag prediction of a 2D circular nano–particle at transitional Knudsen number (0.0214) and low Reynolds number (0.25–2.0). The numerical scheme utilises a discontinuous-Galerkin finite element discretisation for the physical space representing the problem particle geometry and a high order discretisation for molecular velocity space describing the molecular distribution function. The paper shows that this method produces drag predictions that are aligned well with the range of drag predictions for this problem generated from the alternative numerical approaches of molecular dynamics codes and a modified continuum scheme. It also demonstrates the sensitivity of flow-field solutions and therefore drag predictions to the wall absorption parameter used to construct the solid wall boundary condition used in the solver algorithm. The results from this work has applications in fields ranging from diagnostics and therapeutics in medicine to the fields of semiconductors and xerographics. Journal Article Journal of Computational Physics 0021-9991 nano–particle; drag; Boltzmann; molecular dynamics; discontinuous Galerkin; finite element 31 12 2017 2017-12-31 10.1016/j.jcp.2017.09.038 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2020-07-01T16:22:24.6426267 2017-09-26T11:36:16.1138903 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Ben Evans 0000-0003-3662-9583 1 0035652-04102017103312.pdf evans2017(7).pdf 2017-10-04T10:33:12.4270000 Output 5561474 application/pdf Accepted Manuscript true 2018-09-29T00:00:00.0000000 true eng
title Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
spellingShingle Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
Ben Evans
title_short Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
title_full Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
title_fullStr Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
title_full_unstemmed Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
title_sort Nano–particle drag prediction at low Reynolds number using a direct Boltzmann–BGK solution approach
author_id_str_mv 3d273fecc8121fe6b53b8fe5281b9c97
author_id_fullname_str_mv 3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans
author Ben Evans
author2 Ben Evans
format Journal article
container_title Journal of Computational Physics
publishDate 2017
institution Swansea University
issn 0021-9991
doi_str_mv 10.1016/j.jcp.2017.09.038
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description This paper outlines a novel approach for solution of the Boltzmann-BGK equation describing molecular gas dynamics applied to the challenging problem of drag prediction of a 2D circular nano–particle at transitional Knudsen number (0.0214) and low Reynolds number (0.25–2.0). The numerical scheme utilises a discontinuous-Galerkin finite element discretisation for the physical space representing the problem particle geometry and a high order discretisation for molecular velocity space describing the molecular distribution function. The paper shows that this method produces drag predictions that are aligned well with the range of drag predictions for this problem generated from the alternative numerical approaches of molecular dynamics codes and a modified continuum scheme. It also demonstrates the sensitivity of flow-field solutions and therefore drag predictions to the wall absorption parameter used to construct the solid wall boundary condition used in the solver algorithm. The results from this work has applications in fields ranging from diagnostics and therapeutics in medicine to the fields of semiconductors and xerographics.
published_date 2017-12-31T03:44:25Z
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score 11.013731

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