Geometrical parameters optimization to improve the effective thermal conductivity of the gas diffusion layer for PEM fuel cell

IF 4.9 2区 工程技术 Q1 ENGINEERING, MECHANICAL International Journal of Thermal Sciences Pub Date : 2024-07-24 DOI:10.1016/j.ijthermalsci.2024.109281
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Abstract

The main concern of this article is a numerical investigation of the geometrical parameters of composite gas diffusion layers (CGDLs) and their impact on effective thermal conductivity (ETC). The geometric parameters under investigation include porosity, thicknesses of the gas diffusion layer (GDL) and micro porous layer (MPL), as well as fibers diameter and orientation. Additionally, non-geometric parameters such as saturation level and operating temperature are examined. This study utilizes realistic full microstructure simulations (GDL + MPL + PolyTetraFluoroEthylene/PTFE + binder) of a paper GDL type (SGL 25BC) to examine and enhance ETC in both in-plane (IP) and through-plane (TP) directions by optimizing the parameters under investigation. To achieve this, a MATLAB code was used to generate microstructures under various conditions, which were simultaneously imported into COMSOL multi-physics via live link technique (LLT). Subsequently, the non-dominated sorting genetic algorithm II (NSGAII) was employed as an optimization method to refine the geometric/non-geometric parameters. Finally, the ETC results for both TP and IP directions were compared with experimental data from the literature. The optimized microstructure exhibits higher ETC values compared to both the initial simulated microstructure and the experimental data. This finding indicates that fabricating CGDLs within the recommended range of optimal geometric values can lead to a substantial increase in their ETC.

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优化几何参数以提高 PEM 燃料电池气体扩散层的有效热导率
本文主要对复合气体扩散层(CGDL)的几何参数及其对有效热导率(ETC)的影响进行数值研究。所研究的几何参数包括孔隙率、气体扩散层(GDL)和微多孔层(MPL)的厚度以及纤维直径和取向。此外,还研究了饱和度和工作温度等非几何参数。本研究利用纸质 GDL 类型(SGL 25BC)的真实全微结构模拟(GDL + MPL + 聚四氟乙烯/聚四氟乙烯 + 粘合剂),通过优化所研究的参数,检查并增强面内 (IP) 和通面 (TP) 方向的 ETC。为此,使用 MATLAB 代码生成各种条件下的微观结构,并通过实时链接技术 (LLT) 将其同时导入 COMSOL 多物理场。随后,采用非支配排序遗传算法 II(NSGA)作为优化方法来完善几何/非几何参数。最后,将 TP 和 IP 方向的 ETC 结果与文献中的实验数据进行了比较。与初始模拟微观结构和实验数据相比,优化后的微观结构显示出更高的 ETC 值。这一发现表明,在推荐的最佳几何值范围内制造 CGDL,可大幅提高其 ETC。
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来源期刊
International Journal of Thermal Sciences
International Journal of Thermal Sciences 工程技术-工程:机械
CiteScore
8.10
自引率
11.10%
发文量
531
审稿时长
55 days
期刊介绍: The International Journal of Thermal Sciences is a journal devoted to the publication of fundamental studies on the physics of transfer processes in general, with an emphasis on thermal aspects and also applied research on various processes, energy systems and the environment. Articles are published in English and French, and are subject to peer review. The fundamental subjects considered within the scope of the journal are: * Heat and relevant mass transfer at all scales (nano, micro and macro) and in all types of material (heterogeneous, composites, biological,...) and fluid flow * Forced, natural or mixed convection in reactive or non-reactive media * Single or multi–phase fluid flow with or without phase change * Near–and far–field radiative heat transfer * Combined modes of heat transfer in complex systems (for example, plasmas, biological, geological,...) * Multiscale modelling The applied research topics include: * Heat exchangers, heat pipes, cooling processes * Transport phenomena taking place in industrial processes (chemical, food and agricultural, metallurgical, space and aeronautical, automobile industries) * Nano–and micro–technology for energy, space, biosystems and devices * Heat transport analysis in advanced systems * Impact of energy–related processes on environment, and emerging energy systems The study of thermophysical properties of materials and fluids, thermal measurement techniques, inverse methods, and the developments of experimental methods are within the scope of the International Journal of Thermal Sciences which also covers the modelling, and numerical methods applied to thermal transfer.
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