Coupled conjugate heat transfer simulation for a scramjet inlet at Mach 8

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

4 Scopus citations

Abstract

A critical component in optimizing hypersonic vehicle design and performance is to accurately predict the thermal response of the vehicle. In order to efficiently simulate the aerothermal interactions, a fully coupled conjugate heat transfer solver was developed. The simulations were performed with US3D, an implicit finite-volume unstructured compressible flow solver, with a newly developed implicit finite-volume unstructured heat conduction solver. The grids for the fluid and solid are non-face-matched due to the different grid requirements for fluid and solid. Results are shown for a simple two-dimensional cylinder test case, in order to analyze the accuracy of the face-matched vs. non-face-matched grids. Two and three-dimensional simulations are presented for a rectangular hypersonic inlet-isolator geometry. As expected, results show the heating of the solid in the isolator region is lower at the shock-wave boundary layer interaction locations when compared to the surrounding area.

Original languageEnglish (US)
Title of host publication23rd AIAA Computational Fluid Dynamics Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105067
DOIs
StatePublished - 2017
Event23rd AIAA Computational Fluid Dynamics Conference, 2017 - Denver, United States
Duration: Jun 5 2017Jun 9 2017

Publication series

Name23rd AIAA Computational Fluid Dynamics Conference, 2017

Other

Other23rd AIAA Computational Fluid Dynamics Conference, 2017
CountryUnited States
CityDenver
Period6/5/176/9/17

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    Reinert, J., Nompelis, I., & Candler, G. V. (2017). Coupled conjugate heat transfer simulation for a scramjet inlet at Mach 8. In 23rd AIAA Computational Fluid Dynamics Conference, 2017 (23rd AIAA Computational Fluid Dynamics Conference, 2017). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2017-4502