Two-phase flow characterization in PEM fuel cells using machine learning

Two-phase flow characterization in PEM fuel cells using machine learning

This work presents a novel application of machine learning to identify the two-phase flow pressure drop in a flow channel of a proton exchange membrane (PEM) fuel cell. Liquid water management and flow-field design remain critical areas of research for many technologies including PEM fuel cells whic...

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Bibliographic Details
Main Authors: Vedang Chauhan, Mehdi Mortazavi, Jingru Z. Benner, Anthony D. Santamaria
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Energy Reports
Subjects:
Proton-exchange-membrane (PEM) fuel cells
Two-phase flow liquid distribution
Machine learning
Logistic regression
Support vector machine
Artificial neural networks (ANN)
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484720313494

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http://www.sciencedirect.com/science/article/pii/S2352484720313494

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