Supersonic combustion flow field reconstruction based on multi-view domain adaptation generative network in scramjet combustor-Reference-Cited by-同舟云学术

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Supersonic combustion flow field reconstruction based on multi-view domain adaptation generative network in scramjet combustor

Published:2024-10 Issue: Volume:136 Page:108981
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Guo Mingming,Chen Erda,Tian Ye^ORCID,Li Linjing,Xu Mengqi,Le Jialing,Zhang Hua

Publisher

Elsevier BV

Reference27 articles.

1. Ignition processes and modes excited by laser-induced plasma in a cavity-based supersonic combustor;Cai;Appl. Energy,2018

2. Intelligent reconstruction of the flow field in a supersonic combustor based on deep learning;Chen;Phys. Fluids,2022

3. Dual-path flow field reconstruction for a scramjet combustor based on deep learning;Deng;Phys. Fluids,2022

4. MVU-Net: a multi-view U-Net architecture for weakly supervised vortex detection;Deng;Engineering Applications of Computational Fluid Mechanics,2022

5. Reconstruction of supersonic flowfield using physical neural network based on channel interaction;Deng;AIAA J.,2024

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