Artificial neural network based shape optimization of supersonic ejectors in the critical flow regime
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Energy Engineering and Power Technology
Reference44 articles.
1. Supersonic air ejectors;Fabri,1958
2. Experimental investigations on mixing characteristics in the critical regime of a low-area ratio supersonic ejector;Gupta;Phys. Fluids,2019
3. Physics of vacuum generation in zero-secondary flow ejectors;Kumar;Phys. Fluids,2018
4. Performance study of ejector cooling cycle at critical mode under superheated primary flow;Tashtoush;Energy Convers. Manage.,2015
5. Ejector refrigeration: a comprehensive review;Besagni;Renew. Sustain. Energy Rev.,2016
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