A design tool for predicting the capillary transport characteristics of fuel cell diffusion media using an artificial neural network

Journal of Power Sources

Volumn 176, Issue 1, 2008, Pages 191-199

  Kumbur, E C ^a   Sharp, K V ^a   Mench, M M ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Artificial neural network; Capillary pressure; Gas diffusion layer; Polymer electrolyte fuel cell; Two phase transport; Water management

Indexed keywords

CAPILLARITY; COMPUTER SIMULATION; HYDROPHOBICITY; NEURAL NETWORKS; PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

COMPRESSION EFFECT; GAS DIFFUSION LAYER; TWO-PHASE TRANSPORT;

WATER MANAGEMENT;

EID: 37549065499     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2007.10.059     Document Type: Article

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