Abstract
The spectral radiative heat flux could impact the material response. In order to evaluate it, a coupling scheme between KATS-MR and P1 approximation model of radiation transfer equation (RTE) is constructed and used. A Band model is developed that divides the spectral domain into small bands of unequal widths. Two verification studies are conducted: one by comparing the simulation computed by the Band model with pure conduction results and the other by comparing with similar models of RTE. The comparative results from the verification studies indicate that the Band model is computationally efficient and can be used to simulate the material’s response when exposed to spectral radiative heat flux. To further evaluate the effectiveness of the spectral form of heat transfer, material response simulations were run by taking into account spectral data as the boundary condition. The results indicate a significant difference in temperature and density distributions within the sample. The internal temperatures are predicted higher with early decomposition when the spectral radiative heat flux is considered.
Original language | English |
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DOIs | |
State | Published - Jan 3 2022 |
Event | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 - San Diego, United States Duration: Jan 3 2022 → Jan 7 2022 |
Conference
Conference | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 |
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Country/Territory | United States |
City | San Diego |
Period | 1/3/22 → 1/7/22 |
Bibliographical note
Funding Information:Financial support for this work was provided by the NASA SpaceTech-REDDI-2018-ESI grant 80NSSC19K0218. The authors would like to thank Aaron Brandis at AMA, Inc. for assistance and insightful discussions. The first author would also like to thank Savio Poovathingal and Ayan Banerjee at the University of Kentucky for assistance.
Publisher Copyright:
© 2022, American Institute of Aeronautics and Astronautics Inc.. All rights reserved.
ASJC Scopus subject areas
- Aerospace Engineering