Predicting mixing degree of supersonic flow by a few target data using meta-learning-Reference-Cited by-同舟云学术

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Predicting mixing degree of supersonic flow by a few target data using meta-learning

Published:2024-09 Issue: Volume:222 Page:180-190
ISSN:0094-5765
Container-title:Acta Astronautica
language:en
Short-container-title:Acta Astronautica

Author:

You Meng,Liu Tingting^ORCID,Jia Shuqin,Huai Ying

Publisher

Elsevier BV

Reference31 articles.

1. Control of penetration and mixing of an excited supersonic jet into a supersonic cross stream;Murugappan;Phys. Fluids,2005

2. Mixing enhancement in chemical lasers. I-Experiments;Driscoll;AIAA J.,1986

3. Numerical study of mixing enhancement in 2D supersonic ejector;Dandani;Int. J. Turbo Jet Engines,2022

4. Laser-induced fluorescence visualization on supersonic mixing nozzles that employ gas-trips;Cenkner;AIAA J.,1982

5. Mixing characteristics of active microjet-based actuators in a supersonic backward-facing-step flow;Ahmed;AIAA J.,2014

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