Siyoon KANG, Jae-Eun KIM, Jeong-Yeol CHOI

DOI Number: N/A

Conference number: HiSST-2025-055

Supersonic combustion ramjet (scramjet) engines represent a key propulsion technology for high-speed atmospheric flight, where efficient fuel injection and flame stabilization remain critical challenges. In this study, we conduct a numerical analysis of a hydrogen-fueled scramjet combustor, focusing on the impact of different combustion models on flow characteristics and overall performance. To achieve computational efficiency while maintaining accuracy, Reynolds-Averaged Navier-Stokes (RANS) simulations were performed. Two turbulent-combustion models, including laminar chemistry and Partially Stirred Reactor (PaSR), were systematically compared. The numerical results were validated
against available experimental data to assess the predictive ability of each model in capturing key phenomena such as ignition, flame stabilization, and thermal choking. To achieve this, this study aims to select an appropriate combustion model that can objectively evaluate and enhance the reliability of numerical predictions through thorough comparisons with previously validated scramjet cases. This study aims to provide valuable insights for the development of computationally efficient and accurate prediction tools. This will advance the design and optimization of future scramjet propulsion systems.

Read the full paper here

In Categories: 1.Events, 1.HiSST 2025, Propulsion Systems & Components
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.