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Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation / B. Evans; S.P. Walton

Applied Mathematical Modelling, Volume: 52, Pages: 215 - 240

Swansea University Author: Walton, Sean

Abstract

Over the past decade there has been a surge in the interest, both academic and commercial, in supersonic and hypersonic passenger transport. This paper outlines an original approach for solving the problem of optimal design and configuration of a space vehicle operating in rarefied hypersonic flow....

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Published in: Applied Mathematical Modelling
ISSN: 0307904X
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa34688
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first_indexed 2017-07-18T20:00:35Z
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spelling 2018-07-27T15:07:00Z v2 34688 2017-07-18 Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation Sean Walton Sean Walton true 0000-0002-6451-265X false 0ec10d5e3ed3720a2d578417a894cf49 67491f34fa2404d4d7ad67c87464dec1 /OQ0V5gIzk0IajbciHMyCsjwe531u+mO/3IG3xe5jMg= 2017-07-18 SCS Over the past decade there has been a surge in the interest, both academic and commercial, in supersonic and hypersonic passenger transport. This paper outlines an original approach for solving the problem of optimal design and configuration of a space vehicle operating in rarefied hypersonic flow. The approach utilises a novel flow solver based on the solution of the Boltzmann–BGK equation. For the first time this solver has been coupled to an evolutionary optimiser to assist in navigation of the unfamiliar hypersonic design space.The Boltzmann–BGK solver is rigorously tested on a number of examples and is shown to handle rarefied gas dynamics examples across a range of length scales. The examples, presented here for the first time, include: a Riemann–type gas expansion problem, drag prediction of a nano–particle and supersonic flow across an aerofoil. Finally the solver is coupled to the evolutionary optimiser Modified Cuckoo Search approach. The coupled solver–optimiser design tool is then used to explore the optimum configuration of the forebody of a generic space reentry vehicle under a range of design conditions.In all examples considered the flow solver produces valid solutions. It is also found that the evolutionary optimiser is successful in navigating the unfamiliar design space. Journal article Applied Mathematical Modelling 52 215 240 0307904X Boltzmann, Modified Cuckoo Search, Evolutionary Optimisation, rarefied gas flow, hypersonic 1 12 2017 2017-12-01 10.1016/j.apm.2017.07.024 http://www.sciencedirect.com/science/article/pii/S0307904X17304626 College of Science Computer Science CSCI SCS Swansea University Visual Computing None 2018-07-27T15:07:00Z 2017-07-18T16:32:22Z College of Science Computer Science B. Evans 1 S.P. Walton 2 0034688-09082017134726.pdf 1-s2.0-S0307904X17304626-main.pdf 2017-08-09T13:47:26Z Output 8166440 application/pdf AM true Updated Notes 09/08/2017 2018-07-29T00:00:00 12 month embargo. true eng
title Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
spellingShingle Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
Walton, Sean
title_short Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
title_full Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
title_fullStr Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
title_full_unstemmed Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
title_sort Aerodynamic optimisation of a hypersonic reentry vehicle based on solution of the Boltzmann–BGK equation and evolutionary optimisation
author_id_str_mv 0ec10d5e3ed3720a2d578417a894cf49
author_id_fullname_str_mv 0ec10d5e3ed3720a2d578417a894cf49_***_Walton, Sean
author Walton, Sean
author2 B. Evans
S.P. Walton
format Journal article
container_title Applied Mathematical Modelling
container_volume 52
container_start_page 215
publishDate 2017
institution Swansea University
issn 0307904X
doi_str_mv 10.1016/j.apm.2017.07.024
college_str College of Science
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hierarchy_top_title College of Science
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hierarchy_parent_title College of Science
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url http://www.sciencedirect.com/science/article/pii/S0307904X17304626
document_store_str 1
active_str 1
researchgroup_str Visual Computing
description Over the past decade there has been a surge in the interest, both academic and commercial, in supersonic and hypersonic passenger transport. This paper outlines an original approach for solving the problem of optimal design and configuration of a space vehicle operating in rarefied hypersonic flow. The approach utilises a novel flow solver based on the solution of the Boltzmann–BGK equation. For the first time this solver has been coupled to an evolutionary optimiser to assist in navigation of the unfamiliar hypersonic design space.The Boltzmann–BGK solver is rigorously tested on a number of examples and is shown to handle rarefied gas dynamics examples across a range of length scales. The examples, presented here for the first time, include: a Riemann–type gas expansion problem, drag prediction of a nano–particle and supersonic flow across an aerofoil. Finally the solver is coupled to the evolutionary optimiser Modified Cuckoo Search approach. The coupled solver–optimiser design tool is then used to explore the optimum configuration of the forebody of a generic space reentry vehicle under a range of design conditions.In all examples considered the flow solver produces valid solutions. It is also found that the evolutionary optimiser is successful in navigating the unfamiliar design space.
published_date 2017-12-01T15:08:08Z
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