Computational Investigation Of Boundary-Layer Transition Mechanisms In A Blunt Cone

In this study, we have performed two-dimensional steady-state hypersonic CFD and one-and-two-dimensional steady-state heat conduction numerical simulations. We are using them to guide and study hypersonic boundary-layer transition ground testing physical experiments to be performed at Holloman High-Speed Test Track. We use surface heat transfer and fluid flow spot signatures to identify fluid flow regimes using laminar and turbulent numerical simulation solvers to understand boundary-layer transition thermocouple temperatures and fluid flow-forming structures. We have also analyzed the fluid flow in the geometries to be inviscid. We passed the CFD solution into the boundary-layer Harris code developed by NASA to explore the boundary layer for laminar fluid flow correlation predictions developed by PANT and Demetriades. Where analysis has been performed to study these effects under non-dimensional numbers, in this study, ANSYS Fluent and ANSYS Transient Heat Transfer and Python and MATLAB Codes have been used to compute the numerical solution of the Navier-Stokes and the Heat Equation. The coupling between the solvers allows us to perform a complete aero-thermal analysis of a blunt cone for our proposed experiment. The blunt cone numerical simulation has been validated using Stetsonâ??s experiment at Wright-Patterson Air Force Base Ludwig tube. Using this methodology, we can forecast boundary-layer transition for modern nose geometries.

Publication Details

Journal
scholarworks - UTEP (The University of Texas at El Paso)
Published
2024-12-01
Primary Topic
Gas Dynamics and Kinetic Theory
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Investigation Of Boundary-Layer Transition Mechanisms In A Blunt Cone

scholarworks - UTEP (The University of Texas at El Paso)
Gas Dynamics and Kinetic Theory
article

Computational Investigation Of Boundary-Layer Transition Mechanisms In A Blunt Cone

article en

Abstract

In this study, we have performed two-dimensional steady-state hypersonic CFD and one-and-two-dimensional steady-state heat conduction numerical simulations. We are using them to guide and study hypersonic boundary-layer transition ground testing physical experiments to be performed at Holloman High-Speed Test Track. We use surface heat transfer and fluid flow spot signatures to identify fluid flow regimes using laminar and turbulent numerical simulation solvers to understand boundary-layer transition thermocouple temperatures and fluid flow-forming structures. We have also analyzed the fluid flow in the geometries to be inviscid. We passed the CFD solution into the boundary-layer Harris code developed by NASA to explore the boundary layer for laminar fluid flow correlation predictions developed by PANT and Demetriades. Where analysis has been performed to study these effects under non-dimensional numbers, in this study, ANSYS Fluent and ANSYS Transient Heat Transfer and Python and MATLAB Codes have been used to compute the numerical solution of the Navier-Stokes and the Heat Equation. The coupling between the solvers allows us to perform a complete aero-thermal analysis of a blunt cone for our proposed experiment. The blunt cone numerical simulation has been validated using Stetsonâ??s experiment at Wright-Patterson Air Force Base Ludwig tube. Using this methodology, we can forecast boundary-layer transition for modern nose geometries.

scholarworks - UTEP (The University of Texas at El Paso)
Openalex Percentile: Top 38%
Gas Dynamics and Kinetic Theory
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.