Predictive modeling of flow characteristics in supersonic separators using machine learning-Reference-Cited by-同舟云学术

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Predictive modeling of flow characteristics in supersonic separators using machine learning

Published:2024-10 Issue: Volume:374 Page:132363
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Bahadornia Atabak,Mojaddam Mohammad^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. Characteristics of a supersonic swirling dehydration system of natural gas;Hengwei;Chinese J Chem Eng: EN,2005

2. March). Selection of hydrate suppression methods for gas streams;Covington,1999

3. Supersonic gas conditioning: first commercial offshore experience;Alfyorov;Oil Gas J,2005

4. CO2 emission sources greenhouse gases and the global warming effect;Yoro,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating machine learning and thermodynamic modeling for performance prediction and optimization of supercritical CO2 and gas turbine combined power systems;Thermal Science and Engineering Progress;2024-09

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