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Characterization of pore network structure in catalyst layers of polymer electrolyte fuel cells

机译:聚合物电解质燃料电池催化剂层中孔网络结构的表征

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摘要

We model and validate the effect of ionomer content and Pt nanoparticles on nanoporous structure of catalyst layers in polymer electrolyte fuel cells. By employing Pore network modeling technique and analytical solutions, we analyze and reproduce experimental N2-adsorption isotherms of carbon, Pt/ carbon and catalyst layers with various ionomer contents. The porous catalyst layer structures comprise of Ketjen Black carbon, Pt and Nafion ionomer. The experimental pore size distributions obtained by N2- adsorption are used as an input to generate porous media using the pore network approach. Subsequently,udthe simulated porous structures are used to produce simulated N2-adsorption isotherms, which are then compared to the experimentally measured isotherms. The results show a good agreement in the prediction of the effect of the ionomer content on the microstructure of catalyst layers. Moreover, the analysis of the isotherms confirms the hypothesis of ionomer distribution on the surface of agglomerates as well as the existence of different sorption regimes in primary and secondary pores of fuel cell catalyst layers.
机译:我们建模和验证离聚物含量和Pt纳米粒子对聚合物电解质燃料电池中催化剂层的纳米孔结构的影响。通过使用孔网络建模技术和分析解决方案,我们分析和再现了碳,铂/碳和具有各种离聚物含量的催化剂层的N2吸附等温线。多孔催化剂层结构包括科琴黑碳,Pt和Nafion离聚物。通过N2-吸附获得的实验孔径分布用作使用孔网络方法生成多孔介质的输入。随后,使用模拟的多孔结构生成模拟的N2吸附等温线,然后将其与实验测量的等温线进行比较。结果在预测离聚物含量对催化剂层微观结构的影响方面显示出良好的一致性。此外,对等温线的分析证实了在附聚物表面上离聚物分布以及燃料电池催化剂层的初级和次级孔中存在不同吸附方式的假设。

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