Shape optimization of reentry vehicles to minimize heat loading

Sinan Eyi, Kyle M. Hanquist, Iain D. Boyd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


The objective of the current study is to design an optimum reentry vehicle shape that minimizes heat loading subject to constraints on the maximum values of surface heat flux and temperature. A new formulation is developed for the heat loading calculations. Axisymmetric Navier-Stokes and finite rate chemical reaction equations are solved to evaluate the objective and constraint functions. The Menter SST turbulence model is employed for turbulence closure. A gradient-based method is utilized for optimization. The sensitivities of the objective and constraint functions are evaluated using the finite difference method. In design optimization, the geometry change or the geometry itself is parameterized using different numbers of NURBS or Bezier curves. Designs are performed at different trajectory points of the IRV-2 vehicle. The effects of flight path angle and reentry velocity on the heat transfer and trajectory characteristics of the original and designed geometries are quantified.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105784
StatePublished - 2019
Externally publishedYes
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: Jan 7 2019Jan 11 2019

Publication series

NameAIAA Scitech 2019 Forum


ConferenceAIAA Scitech Forum, 2019
Country/TerritoryUnited States
CitySan Diego

ASJC Scopus subject areas

  • Aerospace Engineering


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