Experimental Characterization Method of the Gas Diffusion Layers Compression Modulus for High Compressive Loads and Based on a Dynamic Mechanical Analysis

Y. Faydi, R. Lachat, P. Lesage, Y. Meyer
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引用次数: 5

Abstract

In a proton exchange membrane fuel cell (PEMFC), gas diffusion layers (GDLs) play a major role in the overall system performances. This is the reason why many research investigations try to model and optimize the GDL physical properties. Currently, the major drawback of these models is to obtain representative GDL mechanical and physical input parameters under different excitations and, particularly, under dynamic excitations. In this paper, an experimental method using a dynamic mechanical analysis (DMA) is detailed to properly obtain the GDL Young's modulus in compression (or compression modulus) for high compressive loads under dynamic excitation. As an example, a very stiff GDL is characterized and analyzed. Only the first mechanical compression is considered. The GDL compression modulus is clearly nonlinear versus the compressive loads. The dynamic load amplitude has a strong effect on the GDL hysteretic behavior. However, the frequency value of the dynamic excitation seems to have no effect on the GDL compression modulus.
基于动态力学分析的高压缩载荷下气体扩散层压缩模量实验表征方法
在质子交换膜燃料电池(PEMFC)中,气体扩散层(gdl)对整个系统的性能起着重要的作用。这就是为什么许多研究试图对GDL的物理性质进行建模和优化的原因。目前,这些模型的主要缺点是在不同激励下,特别是在动态激励下,无法获得具有代表性的GDL力学和物理输入参数。本文详细介绍了一种采用动态力学分析(DMA)的实验方法,以正确地获得高压缩载荷在动态激励下的GDL压缩杨氏模量(或压缩模量)。作为一个例子,对一个非常刚性的GDL进行了表征和分析。只考虑第一种机械压缩。GDL压缩模量随压缩载荷的变化呈明显的非线性。动载荷幅值对GDL的滞回特性有较大影响。然而,动力激励的频率值似乎对GDL压缩模量没有影响。
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来源期刊
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审稿时长
6-12 weeks
期刊介绍: The Journal of Fuel Cell Science and Technology publishes peer-reviewed archival scholarly articles, Research Papers, Technical Briefs, and feature articles on all aspects of the science, engineering, and manufacturing of fuel cells of all types. Specific areas of importance include, but are not limited to: development of constituent materials, joining, bonding, connecting, interface/interphase regions, and seals, cell design, processing and manufacturing, multi-scale modeling, combined and coupled behavior, aging, durability and damage tolerance, reliability, availability, stack design, processing and manufacturing, system design and manufacturing, power electronics, optimization and control, fuel cell applications, and fuels and infrastructure.
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