Stochastic modeling of polymer electrolyte membrane fuel cell gas diffusion layers - Part 1: Physical characterization

被引:31
|
作者
Hinebaugh, J. [1 ]
Bazylak, A. [1 ]
机构
[1] Univ Toronto, Fac Appl Sci & Engn, Dept Mech & Ind Engn, Thermofluids Energy & Adv Mat TEAM Lab,Inst Susta, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Polymer electrolyte membrane fuel cells; Gas diffusion layer; Stochastic models; Microporous layer; MICRO-POROUS LAYER; LIQUID WATER TRANSPORT; HETEROGENEOUS POROSITY DISTRIBUTIONS; PORE-NETWORK MODELS; MICROPOROUS LAYER; THERMAL-CONDUCTIVITY; 2-PHASE TRANSPORT; PERMEABILITY; VISUALIZATION; WETTABILITY;
D O I
10.1016/j.ijhydene.2017.04.268
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Stochastic modeling of GDL structures requires a detailed characterization of the constituent elements of the material. In this work, a variety of imaging methods, including optical microscopy, microscale computed tomography, and scanning electron microscopy were used to characterize seven commercially available gas diffusion layers (GDLs). The result is a catalogue of the following geometrical characteristics: fiber diameter, fiber pitch and co- alignment, areal weight and volume, and microporous layer (MPL) crack size and frequency. This catalogue, when combined with previous GDL characterizations, is expected to provide enough information to create representative, predictive, stochastic models of the GDL. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:15861 / 15871
页数:11
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