Abstract
Direct numerical simulation (DNS) of the laminar-to-turbulent transition process is performed over a low-temperature ablating, 13° semi-vertex angle straight cone at Mach 5.3 to examine fluid-ablation interaction (FAI) effects in transitional high-speed boundary layers. The flow conditions and geometry of the DNS match those of an experiment performed in which cross-hatching ablation patterns were observed. All of the simulations performed utilized the Cartesian Higher-Order Adaptive Multi-Physics Solver (CHAMPS) framework. Linear stability calculations were carried out using the Langley Stability and Transition Analysis Code (LASTRAC) to verify the DNS correctly captures the growth of the most relevant instability modes, namely, the first Mack mode. Fluid simulation data at the cone’s surface were loosely-coupled to a material response solver to obtain realistic recession, temperature, and blowing profiles. These profiles were then reapplied as a boundary condition at the cone wall for the subsequent fluid DNS and the process was iterated. Results from the four complete coupling steps show heat flux-ablation interaction patterns to be self-perpetuating and the recession topology initiated by the controlled breakdown fluid simulation undergoes amplification in time.
Original language | English |
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Title of host publication | AIAA SciTech Forum and Exposition, 2023 |
DOIs | |
State | Published - 2023 |
Event | AIAA SciTech Forum and Exposition, 2023 - Orlando, United States Duration: Jan 23 2023 → Jan 27 2023 |
Publication series
Name | AIAA SciTech Forum and Exposition, 2023 |
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Conference
Conference | AIAA SciTech Forum and Exposition, 2023 |
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Country/Territory | United States |
City | Orlando |
Period | 1/23/23 → 1/27/23 |
Bibliographical note
Publisher Copyright:© 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
Funding
The authors would like to recognize and show appreciation for the financial support provided by National Science Foundation under award CBET-2146100 with Dr. R. Joslin as Program Manager. The authors would also like to recognize the financial support provided by NASA Kentucky EPSCoR RA Award (NCE) no. 80NSSC19M0144 with E. Stern as the technical monitor, and from the NASA ACCESS program award no. 80NSSC21K1117. The authors would also like to thank the collaborators from NASA Ames Research Center, NASA Langley Research Center, and the NASA Johnson Space Center. In addition, the majority of the simulations shown here and in to be shown in the final paper were computed on facilities provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.
Funders | Funder number |
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NASA Johnson Space Center | |
Ames Research Center | |
Kentucky NASA EPSCoR RIA | |
Langley Research Center | |
National Science Foundation Arctic Social Science Program | CBET-2146100 |
National Science Foundation Arctic Social Science Program | |
NCE | 80NSSC19M0144 |
NASA | 80NSSC21K1117 |
ASJC Scopus subject areas
- Aerospace Engineering