3D microstructure modeling of compressed fiber-based materials

被引:58
|
作者
Gaiselmann, Gerd [1 ]
Toetzke, Christian [2 ,3 ]
Manke, Ingo [2 ]
Lehnert, Werner [4 ,5 ]
Schmidt, Volker [1 ]
机构
[1] Univ Ulm, Inst Stochast, D-89069 Ulm, Germany
[2] Helmholtz Ctr Berlin Mat & Energy HZB, Inst Appl Mat, D-14109 Berlin, Germany
[3] Tech Univ Berlin, Dept Mat Sci & Technol, D-10623 Berlin, Germany
[4] Forschungszentrum Julich, IEK Electrochem Proc Engn 3, Inst Energy & Climate Res, D-52425 Julich, Germany
[5] Rhein Westfal TH Aachen, D-52062 Aachen, Germany
关键词
Compression model; Fiber-based materials; Gas-diffusion layer; PEMFC; Simulated annealing; Stochastic modeling; X-RAY; DIFFUSION MEDIUM; TRANSPORT;
D O I
10.1016/j.jpowsour.2014.01.095
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A novel parametrized model that describes the 3D microstructure of compressed fiber-based materials is introduced. It allows to virtually generate the microstructure of realistically compressed gas-diffusion layers (GDL). Given the input of a 3D microstructure of some fiber-based material, the model compresses the system of fibers in a uniaxial direction for arbitrary compression rates. The basic idea is to translate the fibers in the direction of compression according to a vector field which depends on the rate of compression and on the locations of fibers within the material. In order to apply the model to experimental 3D image data of fiber-based materials given for several compression states, an optimal vector field is estimated by simulated annealing. The model is applied to 3D image data of non-woven GDL in PEMFC gained by synchrotron tomography for different compression rates. The compression model is validated by comparing structural characteristics computed for experimentally compressed and virtually compressed microstructures, where two kinds of compression - using a flat stamp and a stamp with a flow-field profile - are applied. For both stamps types, a good agreement is found. Furthermore, the compression model is combined with a stochastic 3D microstructure model for uncompressed fiberbased materials. This allows to efficiently generate compressed fiber-based microstructures in arbitrary volumes. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:52 / 64
页数:13
相关论文
共 50 条
  • [41] Fiber-based 3D nano-printed holography with individually phase-engineered remote points
    Plidschun, Malte
    Zeisberger, Matthias
    Kim, Jisoo
    Wieduwilt, Torsten
    Schmidt, Markus A.
    SCIENTIFIC REPORTS, 2022, 12 (01):
  • [42] Real-Time 3D Visualization and Navigation Using Fiber-Based Endoscopic System for Arthroscopic Surgery
    Long, Zhongjie
    Nagamune, Kouki
    Kuroda, Ryosuke
    Kurosaka, Masahiro
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2016, 20 (05) : 735 - 742
  • [43] 3D multifocus astigmatism and compressed sensing (3D MACS) based superresolution reconstruction
    Huang, Jiaqing
    Sun, Mingzhai
    Gumpper, Kristyn
    Chi, Yuejie
    Ma, Jianjie
    BIOMEDICAL OPTICS EXPRESS, 2015, 6 (03): : 902 - 917
  • [44] Review on Fiber-Based Thermoelectrics: Materials, Devices, and Textiles
    Shen, Yanan
    Han, Xue
    Zhang, Pengyu
    Chen, Xinyi
    Yang, Xiao
    Liu, Ding
    Yang, Xiaona
    Zheng, Xinghua
    Chen, Haisheng
    Zhang, Kun
    Zhang, Ting
    ADVANCED FIBER MATERIALS, 2023, 5 (04) : 1105 - 1140
  • [45] Review on Fiber-Based Thermoelectrics: Materials, Devices, and Textiles
    Yanan Shen
    Xue Han
    Pengyu Zhang
    Xinyi Chen
    Xiao Yang
    Ding Liu
    Xiaona Yang
    Xinghua Zheng
    Haisheng Chen
    Kun Zhang
    Ting Zhang
    Advanced Fiber Materials, 2023, 5 : 1105 - 1140
  • [46] Natural Juncus effusus fiber-based separator with 3D porous structure for oil/water emulsion separation
    Zhou, Zhaozixuan
    Guo, Jianhong
    Zhang, Chunhua
    Zhou, Sijie
    Gong, Junyao
    Fu, Zhuan
    Wang, Xinyu
    Su, Lingling
    Feng, Lin
    Li, Wenbin
    Xia, Liangjun
    INDUSTRIAL CROPS AND PRODUCTS, 2023, 205
  • [47] 3D printed microfluidic lab-on-a-chip device for fiber-based dual beam optical manipulation
    Wang, Haoran
    Enders, Anton
    Preuss, John-Alexander
    Bahnemann, Janina
    Heisterkamp, Alexander
    Torres-Mapa, Maria Leilani
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [48] Fiber-based 3D nano-printed holography with individually phase-engineered remote points
    Malte Plidschun
    Matthias Zeisberger
    Jisoo Kim
    Torsten Wieduwilt
    Markus A. Schmidt
    Scientific Reports, 12 (1)
  • [49] In vitro assessment of drug resistance overcoming phenomenon induced by silica fiber-based 3D culture scaffold
    Komizu, Yuji
    Sasaki, Kouhei
    Ishida, Seiichi
    Matsushita, Taku
    CANCER SCIENCE, 2021, 112 : 915 - 915
  • [50] Sensing Materials for Optical Fiber-based Detection of Acetylene
    Wuenschell, Jeffrey K.
    Kim, Ki-Joong
    Lu, Ping
    Buric, Michael
    FIBER OPTIC SENSORS AND APPLICATIONS XVIII, 2022, 12105