Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD

The primary focus of this study is to use numerical simulations to analyze the static temperature and surface pressure distribution along the slant length of a cone at different Mach numbers and a range of semi-cone angles. Computational fluid dynamics (CFD) analysis numerically simulates temperatu...

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Main Authors: Shaikh, Javed Shoukat, Pathan, Khizar Ahmed, Khan, Sher Afghan
Format: Article
Language:English
Published: SEMARAK ILMU PUBLISHING 2024
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Online Access:http://irep.iium.edu.my/116902/7/116902_%20Numerical%20simulation%20of%20surface.pdf
http://irep.iium.edu.my/116902/
https://semarakilmu.com.my/journals/index.php/arnht
https://doi.org/10.37934/arnht.28.1.126
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spelling my.iium.irep.1169022024-12-23T04:36:20Z http://irep.iium.edu.my/116902/ Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD Shaikh, Javed Shoukat Pathan, Khizar Ahmed Khan, Sher Afghan TL500 Aeronautics The primary focus of this study is to use numerical simulations to analyze the static temperature and surface pressure distribution along the slant length of a cone at different Mach numbers and a range of semi-cone angles. Computational fluid dynamics (CFD) analysis numerically simulates temperature and surface pressure distribution. This research considers parameters such as supersonic Mach numbers, semi-cone angles, and different locations along the slant length of a cone. The study examines Mach numbers of 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, and 5.0, along with cone angles ranging from 3° to 21°. The static temperature and pressure (P/Pa) results are measured at different locations (x/L) along the slant length of the cone, ranging from 0.1 to 1. The results for static temperature and pressure distribution obtained by CFD analysis are compared with results obtained by regression model at various Mach numbers and constant semi-cone angle (θ) = 12°. The results from the CFD analysis and the findings of the regression methodology are in agreement. This study found that the Mach number, semi-cone angle, and the various locations along the cone's slant length significantly impact the variation of static temperature and surface pressure distribution. As the Mach number and the semi-cone angle increase, the temperature and pressure distribution along the slant length of the cone also increase. SEMARAK ILMU PUBLISHING 2024-12-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/116902/7/116902_%20Numerical%20simulation%20of%20surface.pdf Shaikh, Javed Shoukat and Pathan, Khizar Ahmed and Khan, Sher Afghan (2024) Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD. Journal of Advanced Research in Numerical Heat Transfer, 28 (1). pp. 1-26. ISSN 2735-0142 https://semarakilmu.com.my/journals/index.php/arnht https://doi.org/10.37934/arnht.28.1.126
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TL500 Aeronautics
spellingShingle TL500 Aeronautics
Shaikh, Javed Shoukat
Pathan, Khizar Ahmed
Khan, Sher Afghan
Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD
description The primary focus of this study is to use numerical simulations to analyze the static temperature and surface pressure distribution along the slant length of a cone at different Mach numbers and a range of semi-cone angles. Computational fluid dynamics (CFD) analysis numerically simulates temperature and surface pressure distribution. This research considers parameters such as supersonic Mach numbers, semi-cone angles, and different locations along the slant length of a cone. The study examines Mach numbers of 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, and 5.0, along with cone angles ranging from 3° to 21°. The static temperature and pressure (P/Pa) results are measured at different locations (x/L) along the slant length of the cone, ranging from 0.1 to 1. The results for static temperature and pressure distribution obtained by CFD analysis are compared with results obtained by regression model at various Mach numbers and constant semi-cone angle (θ) = 12°. The results from the CFD analysis and the findings of the regression methodology are in agreement. This study found that the Mach number, semi-cone angle, and the various locations along the cone's slant length significantly impact the variation of static temperature and surface pressure distribution. As the Mach number and the semi-cone angle increase, the temperature and pressure distribution along the slant length of the cone also increase.
format Article
author Shaikh, Javed Shoukat
Pathan, Khizar Ahmed
Khan, Sher Afghan
author_facet Shaikh, Javed Shoukat
Pathan, Khizar Ahmed
Khan, Sher Afghan
author_sort Shaikh, Javed Shoukat
title Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD
title_short Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD
title_full Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD
title_fullStr Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD
title_full_unstemmed Numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using CFD
title_sort numerical simulation of surface pressure and temperature distribution along a cone at supersonic mach numbers using cfd
publisher SEMARAK ILMU PUBLISHING
publishDate 2024
url http://irep.iium.edu.my/116902/7/116902_%20Numerical%20simulation%20of%20surface.pdf
http://irep.iium.edu.my/116902/
https://semarakilmu.com.my/journals/index.php/arnht
https://doi.org/10.37934/arnht.28.1.126
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score 13.223943