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Pore Network Modeling of Compressed Fuel Cell Components with OpenPNM

机译:用OpenpNm建模压缩燃料电池组件的孔网络

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摘要

Pore network modeling is used to model water invasion and multiphase transport through compressed PEFC gas diffusion layers. Networks are created using a Delaunay tessellation of randomly placed base-points setting the pore locations and its compliment, the Voronoi diagram, is used to define the location of fibers and resultant pore and throat geometry. The model is validated in comparison to experimental capillary pressure curves obtained on compressed and uncompressed materials. Primary drainage is simulated with an invasion percolation algorithm that sequentially invades pores and throats separately with excellent agreement to experimental data, but required a slight modification to account for the higher aspect ratio of compressed pores. Compression is simulated by scaling the through-plane coordinates in a uniform manner representing a GDL wholly beneath the current-collector land. The relative permeability and diffusivity show some dependence on uniform compression. In-plane porosity variations introduced by land-channel compression are also investigated which have a marked effect on the limiting current. Saturation at breakthrough does not appear to be dependent on compression. However, a more important parameter, namely the peak saturation, is shown to influence the fuel cell performance and is dependent on the percolation inlet conditions.
机译:孔网络建模用于通过压缩的PEFC气体扩散层对水入侵和多相传输进行建模。网络是使用随机放置的基点的Delaunay细分来创建的,该基点设置了孔的位置,其补语Voronoi图用于定义纤维的位置以及所形成的孔和喉咙的几何形状。与在压缩和未压缩的材料上获得的实验毛细管压力曲线相比,该模型得到了验证。初次排水采用入侵渗流算法进行模拟,该算法按顺序分别入侵孔和喉,与实验数据非常吻合,但需要稍加修改以解决压缩孔的较高长宽比。通过以统一的方式缩放整个平面坐标来模拟压缩,该坐标表示GDL完全位于集流器焊盘下方。相对渗透率和扩散率显示出一定程度的对均匀压缩的依赖性。还研究了由陆上通道压缩引起的面内孔隙率变化,这些变化对极限电流有显着影响。突破时的饱和似乎不取决于压缩。然而,更重要的参数,即峰值饱和度,显示出会影响燃料电池的性能,并取决于渗滤入口条件。

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