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Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Swansea University Author: Ben Evans
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DOI (Published version): 10.1177/0954407013511071
Abstract
This paper describes the application of a parallel finite-volume compressible Navier–Stokes computational fluid dynamics solver to the complex aerodynamic problem of a land-based supersonic vehicle, BLOODHOUND SSC. This is a complex aerodynamic problem because of the supersonic rolling ground, the r...
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2018-01-19T18:56:05.2376460 v2 18080 2014-07-02 Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false 2014-07-02 ACEM This paper describes the application of a parallel finite-volume compressible Navier–Stokes computational fluid dynamics solver to the complex aerodynamic problem of a land-based supersonic vehicle, BLOODHOUND SSC. This is a complex aerodynamic problem because of the supersonic rolling ground, the rotating wheels and the shock waves in close proximity to the ground. The computational fluid dynamics system is used to develop a mature vehicle design from the initial concept stage, and the major aerodynamic design changes are identified. The paper’s focus, however, is on the predicted aerodynamic behaviour of the finalised (frozen) design which is currently being manufactured. The paper presents a summary of the data bank of predicted aerodynamic behaviours that will be used as the benchmark for vehicle testing and computational fluid dynamics validation throughout 2015 and 2016 in an attempt to achieve a Land Speed Record of 1000 mile/h (approximately Mach 1.3). The computational fluid dynamics predictions indicate that the current design has a benign lift distribution across the whole Mach range of interest and a sufficiently low drag coefficient to achieve this objective. It also indicates that the fin is sized appropriately to achieve the static margin requirements for directional stability. The paper concludes by presenting the impact of feeding the detailed computational fluid dynamics predictions into the overall vehicle performance model together with recommendations for further computational fluid dynamics study. Journal Article Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 31 12 2014 2014-12-31 10.1177/0954407013511071 http://pid.sagepub.com/content/early/2014/03/14/0954407013511071.abstract COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2018-01-19T18:56:05.2376460 2014-07-02T08:45:46.6138891 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering B. Evans 1 C. Rose 2 Ben Evans 0000-0003-3662-9583 3 0018080-08022016092546.pdf config12_aero_paper_2013.pdf 2016-02-08T09:25:46.9430000 Output 3250516 application/pdf Author's Original true 2016-02-08T00:00:00.0000000 false |
title |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC |
spellingShingle |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC Ben Evans |
title_short |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC |
title_full |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC |
title_fullStr |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC |
title_full_unstemmed |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC |
title_sort |
Simulating the aerodynamic characteristics of the Land Speed Record vehicle BLOODHOUND SSC |
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3d273fecc8121fe6b53b8fe5281b9c97 |
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3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans |
author |
Ben Evans |
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B. Evans C. Rose Ben Evans |
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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering |
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2014 |
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Swansea University |
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10.1177/0954407013511071 |
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Faculty of Science and Engineering |
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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 |
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http://pid.sagepub.com/content/early/2014/03/14/0954407013511071.abstract |
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description |
This paper describes the application of a parallel finite-volume compressible Navier–Stokes computational fluid dynamics solver to the complex aerodynamic problem of a land-based supersonic vehicle, BLOODHOUND SSC. This is a complex aerodynamic problem because of the supersonic rolling ground, the rotating wheels and the shock waves in close proximity to the ground. The computational fluid dynamics system is used to develop a mature vehicle design from the initial concept stage, and the major aerodynamic design changes are identified. The paper’s focus, however, is on the predicted aerodynamic behaviour of the finalised (frozen) design which is currently being manufactured. The paper presents a summary of the data bank of predicted aerodynamic behaviours that will be used as the benchmark for vehicle testing and computational fluid dynamics validation throughout 2015 and 2016 in an attempt to achieve a Land Speed Record of 1000 mile/h (approximately Mach 1.3). The computational fluid dynamics predictions indicate that the current design has a benign lift distribution across the whole Mach range of interest and a sufficiently low drag coefficient to achieve this objective. It also indicates that the fin is sized appropriately to achieve the static margin requirements for directional stability. The paper concludes by presenting the impact of feeding the detailed computational fluid dynamics predictions into the overall vehicle performance model together with recommendations for further computational fluid dynamics study. |
published_date |
2014-12-31T06:33:08Z |
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1821295549925556224 |
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11.047372 |