Dabeen JEONG, Shinkyu JEONG, Jongho JUNG

DOI Number: N/A

Conference number: HiSST-2024-273

This study investigates the optimization of a reusable unmanned space vehicle with various objective
functions: weight and heat flux minimization. Multi-Objective Genetic Algorithm (MOGA) was used to
optimize various objective functions. To compute the objective functions, aerodynamic and thermal
analysis was performed during the re-entry process. The modified Newtonian flow and the approximate
convective-heating equation were used for aerothermodynamic analysis. After the thermal analysis was
performed, the wall temperature was calculated for designing the Thermal Protection System (TPS)
layout. Optimization was computed with KSP-1 provided by the Korea Aerospace Research Institute
(KARI) was used as a baseline configuration. According to the comparison geometry-based TPS layout
and wall temperature-based TPS layout, the wall temperature-based TPS layout was generally lower in
weight and protected high-temperature areas that the geometry-based TPS layout did not capture.

Read the full paper here

In Categories: 1.Events, High-Speed Missions and Vehicles, HiSST 2024
Email
Print
LinkedIn
The paper above was part of  proceedings of a CEAS event and as such the author has signed a publication agreement to have their paper published in the repository. In the case this paper is found somewhere else CEAS always links to the other source.  CEAS takes great care in making the correct content available to the reader. If any mistakes are found  in the listings please contact us directly at papers@aerospacerepository.org and we will correct the listing promptly.  CEAS cannot be held liable either for mistakes in editorial or technical aspects, nor for omissions, nor for the correctness of the content. In particular, CEAS does not guarantee completeness or correctness of information contained in external websites which can be accessed via links from CEAS’s websites. Despite accurate research on the content of such linked external websites, CEAS cannot be held liable for their content. Only the content providers of such external sites are liable for their content. Should you notice any mistake in technical or editorial aspects of the CEAS site, please do not hesitate to inform us.