Numerical Investigation of Fluid-Ablation Interactions on a 13-Degree Straight Cone at Mach 5.3

Sean Dungan, Joel A. McQuaid, Aleksander L. Zibitsker, Alexandre Martin, Christoph Brehm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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 languageEnglish
Title of host publicationAIAA SciTech Forum and Exposition, 2023
DOIs
StatePublished - 2023
EventAIAA SciTech Forum and Exposition, 2023 - Orlando, United States
Duration: Jan 23 2023Jan 27 2023

Publication series

NameAIAA SciTech Forum and Exposition, 2023

Conference

ConferenceAIAA SciTech Forum and Exposition, 2023
Country/TerritoryUnited States
CityOrlando
Period1/23/231/27/23

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.

FundersFunder number
NASA Johnson Space Center
Ames Research Center
Kentucky NASA EPSCoR RIA
Langley Research Center
National Science Foundation Arctic Social Science ProgramCBET-2146100
National Science Foundation Arctic Social Science Program
NCE80NSSC19M0144
NASA80NSSC21K1117

    ASJC Scopus subject areas

    • Aerospace Engineering

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