基于格子玻尔兹曼方法的梯度化扩散层降解研究

Gradient Diffusion Layer Degradation Based on Lattice Boltzmann Method

采用随机算法重建了不同老化程度的梯度化气体扩散层二维微观结构。随后,采用多相伪势格子玻尔兹曼方法,研究不同降解程度的梯度设计扩散层内液态水的传输行为。结果表明,随着扩散层降解的加剧,扩散层排水性能显著降低,大量液态水残留在扩散层内。此外,梯度化设计的扩散层在进口区域初始分布较多聚四氟乙烯有利于扩散层的水管理,同时在老化后还具有较高的毛细压力进而控制水驱面积,展现出较高的排水性能及抗老化性能。研究结果可为制作高抗老化性能和高排水性能的扩散层提供研究基础和设计思路。

This study employed a random algorithm to reconstruct the two-dimensional microstructure of gradient gas diffusion layers with varying degrees of aging.Subsequently,the multiphase pseudo-potential lattice Boltzmann method was utilized to investigate the transport behavior of liquid water in gradient-designed diffusion layers with varying degrees of degradation.The results indicate that as the degradation of the diffusion layer intensifies,the drainage performance significantly decreases,and a considerable amount of liquid water remains in the diffusion layer.In addition,the gradient-designed diffusion layer initially distributes more polytetrafluoroethylene in the inlet area,enhancing water management within the diffusion layer.At the same time,after aging,the diffusion layer exhibits higher capillary pressure to control the water-driving area and shows higher drainage and anti-aging performance.This study provides a research basis and design for making diffusion layers with high aging resistance and drainage performance.