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Effective diffusivity of gas diffusion layer in proton exchange membrane fuel cells

机译:质子交换膜燃料电池中气体扩散层的有效扩散率

摘要

In gas diffusion layers (GDLs) of proton exchange membrane fuel cells (PEMFCs), effective gas diffusivity is a key parameter to be determined and engineered. Existing theoretical models of effective diffusivity are limited to one-dimensional (1D) regular fiber arrays. Numerical simulations were carried out to simulate gas diffusion through more realistic fibrous materials like GDLs, in which fibers are randomly distributed in a two-dimensional (2D) plane or three-dimensional (3D) space, but they could not fully reveal the underlying mechanisms. In this paper, we propose an analytical model to predict the effective diffusivities of 1D, 2D and 3D randomly distributed fiber assembles. The present model is established by extending the model of 1D regular fiber alignments to 1D random fiber arrangements through Voronoi Tessellation method, and using the 1D local diffusivities to determine the 2D and 3D diffusivities based on mixing rules. The predicted effective diffusivities agree well with experimental results and numerical data. With the new model, the influences of porosity, fiber distribution, and fiber orientation are analyzed in this study.
机译:在质子交换膜燃料电池(PEMFC)的气体扩散层(GDL)中,有效的气体扩散率是要确定和设计的关键参数。现有的有效扩散率理论模型仅限于一维(1D)规则光纤阵列。进行了数值模拟,以模拟气体通过更现实的纤维材料(例如GDL)扩散的过程,其中纤维随机分布在二维(2D)平面或三维(3D)空间中,但无法完全揭示其潜在机理。 。在本文中,我们提出了一个分析模型来预测1D,2D和3D随机分布的光纤组件的有效扩散率。通过Voronoi Tessellation方法将1D常规纤维排列模型扩展到1D随机纤维排列,并使用1D局部扩散率基于混合规则确定2D和3D扩散率,可以建立本模型。预测的有效扩散率与实验结果和数值数据非常吻合。使用新模型,分析了孔隙度,纤维分布和纤维取向的影响。

著录项

  • 作者

    Shou D; Fan J; Ding F;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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