Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization-Reference-Cited by-同舟云学术

Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization

Published:2024-04 Issue: Volume:85 Page:111104
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Kou Chen,Alghassab Mohammed A.,Abed Azher M.,Alkhalaf Salem,Alharbi Fawaz S.,Elmasry Yasser,Abdullaev Sherzod,Garalleh Hakim AL,Tarawneh Mou'ad A.

Funder

King Khalid University

Publisher

Elsevier BV

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1. Multi-objective optimization and artificial neural network models for enhancing the overall performance of a microchannel heat sink with fins inspired Tesla valve profile;Case Studies in Thermal Engineering;2024-09

2. Design, Fabrication, and Testing of a Novel Thermally Actuated Tesla Valve: A Hybrid Microvalve;Journal of Fluids Engineering;2024-06-20