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 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.

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Publication Details

Journal
Journal of Advanced Research in Numerical Heat Transfer
Published
2024-12-18
DOI
https://doi.org/10.37934/arnht.28.1.126
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.37
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article

Numerical Simulation of Surface Pressure and Temperature Distribution Along a Cone at Supersonic Mach Numbers Using CFD

Sher Afghan Khan, Khizar Ahmed Pathan, Javed Shoukat Shaikh
1 citations
Journal of Advanced Research in Numerical Heat Transfer
Computational Fluid Dynamics and Aerodynamics
0.37
article

Numerical Simulation of Surface Pressure and Temperature Distribution Along a Cone at Supersonic Mach Numbers Using CFD

Sher Afghan Khan, Khizar Ahmed Pathan, Javed Shoukat Shaikh
article en
1 citations

Abstract

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.

Journal of Advanced Research in Numerical Heat TransferVol. 28(1)
International Islamic University Malaysia (MY), Savitribai Phule Pune University (IN)
Openalex Percentile: Top 40%
Computational Fluid Dynamics and Aerodynamics
0.37
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Numerical Simulation of Surface Pressure and Temperature Distribution Along a Cone at Supersonic Mach Numbers Using CFD — Sher Afghan Khan, Khizar Ahmed Pathan, et al. · Journal of Advanced Research in Numerical Heat Transfer (2024) | TGRS Research Map | TGRS