Fractal model for the effective thermal conductivity of microporous layer

被引:6
|
作者
Shi, Qitong [1 ,2 ]
Feng, Cong [1 ,3 ]
Li, Bing [1 ,2 ]
Ming, Pingwen [1 ,2 ]
Zhang, Cunman [1 ,2 ]
机构
[1] Tongji Univ, Clean Energy Automot Engn Ctr, Shanghai 201804, Peoples R China
[2] Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China
[3] Tongji Univ, Coll Mat Sci & Engn, Shanghai 201804, Peoples R China
关键词
Fractal model; Effective thermal conductivity; Microporous layer; Fuel cell; GAS-DIFFUSION LAYERS; FOCUSED ION-BEAM; POROUS-MEDIA; RECONSTRUCTION;
D O I
10.1016/j.ijheatmasstransfer.2023.123884
中图分类号
O414.1 [热力学];
学科分类号
摘要
Heat transfer in the fuel cells is generally limited by the effective thermal conductivity of the microporous layer (MPL). Due to the complexity of the microstructure and the difficulty of the test conditions, studies on the key parameters that affect the thermal conductivity of MPL is lacking. In this paper, we develop an analytical fractal model for the effective thermal conductivity of the MPL based on a lumped parametric model of the cube and a fractal particle chain model, and provide the contact ratio of the agglomerates using a 3D FIB-SEM reconstruction. The results indicate that the main factors affecting the thermal conductivity of MPL include the structural parameters, fractal dimension, and the thermal conductivity of the carbon particles and pores. The fractal characteristics of the MPL inhibit heat transfer rate and the pores act as a "thermal barrier wall" on the heat transfer path in the MPL. When the volume fraction of the MPL is 40 percent, the contact area ratio and fractal factor of the agglomerates are 0.351 and 0.84, respectively. In addition, this research will help to develop novel MPL structures with high thermal conductivity and improve simulation results for fuel cell temperatures. (c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Determination of effective thermal conductivity for polyurethane foam by use of fractal method
    Mingheng Shi
    Xiaochuan Li
    Yongping Chen
    Science in China Series E: Technological Sciences, 2006, 49 : 468 - 475
  • [42] A NOVEL MODEL FOR EFFECTIVE THERMAL CONDUCTIVITY OF TREE-LIKE BRANCHING NETWORK WITH FRACTAL ROUGHENED SURFACES
    Liu, Yonghui
    Li, Zihao
    Xiao, Boqi
    Chen, Hanxin
    Long, Gongbo
    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2021, 29 (06)
  • [43] A stress-dependent fractal model for predicting the effective thermal conductivity of porous rocks with elliptical pore
    Wang, Ruirui
    Yang, Shanshan
    Guo, Xiuya
    Zheng, Qian
    INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2025, 164
  • [44] A combined model for the effective thermal conductivity of nanofluids
    Murshed, S. M. S.
    Leong, K. C.
    Yang, C.
    APPLIED THERMAL ENGINEERING, 2009, 29 (11-12) : 2477 - 2483
  • [45] A model for effective thermal conductivity of unsaturated bentonite
    Zhou Song
    Chen Yi-feng
    Zhang Qin
    Zheng Hua-kang
    Zhou Chuang-bing
    ROCK AND SOIL MECHANICS, 2014, 35 (04) : 1041 - +
  • [46] Fractal model for thermal conductivity of wetting, fibrous porous media
    Zhu, FangLong
    Xia, DeHong
    Zhou, Yu
    FUNCTIONAL MATERIALS AND NANOTECHNOLOGY, 2012, 496 : 12 - +
  • [47] Fractal model for thermal conductivity of a new material of graphite foam
    College of Power Engineering, Chongqing University, Chongqing 400030, China
    Kung Cheng Je Wu Li Hsueh Pao, 2006, SUPPL. 1 (82-84):
  • [48] A Fractal model for the transverse thermal dispersion conductivity in porous media
    Yu, BM
    Li, JH
    CHINESE PHYSICS LETTERS, 2004, 21 (01) : 117 - 120
  • [49] Effective thermal conductivity model of flame spread over a shallow subflash liquid fuel layer
    Epstein, M
    Burelbach, JP
    JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 1998, 120 (03): : 781 - 784
  • [50] A geometrical fractal model for the porosity and thermal conductivity of insulating concrete
    Pia, Giorgio
    Sanna, Ulrico
    CONSTRUCTION AND BUILDING MATERIALS, 2013, 44 : 551 - 556