Evaluating the optimum nanofiber alignment in conductive composites with a stereology-based anisotropic degree

被引:6
作者
Cui, Baorang [1 ]
Pan, Fei [2 ]
Zhang, Feng [1 ]
Ma, Yong [1 ]
Zhao, Libin [4 ,5 ,6 ]
Chen, Yuli [1 ,3 ]
机构
[1] Beihang Univ, Inst Solid Mech, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China
[3] Tianmushan Lab, Hangzhou 310023, Peoples R China
[4] Hebei Univ Technol, Key Lab Hebei Prov Scale span Intelligent Equipmen, Tianjin 300401, Peoples R China
[5] Hebei Univ Technol, Sch Mech Engn, Tianjin 300401, Peoples R China
[6] Beihang Univ, Sch Astronaut, Beijing 100191, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
A; Discontinuous reinforcement; B; Electrical properties; Anisotropy; C; Numerical analysis; ELECTRICAL-CONDUCTIVITY; PERCOLATION-THRESHOLD; FIBER ORIENTATION; CARBON NANOTUBES;
D O I
10.1016/j.compositesa.2023.107485
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Rationally tuning the anisotropic degree of orientation distribution for conductive fibers in composites can maximize the macro electrical conductivity in a specific direction. However, quantitative evaluation of the optimum anisotropic degree of networks with fibers of different shapes and orientation distributions remains largely unexplored. In this work, the optimum fiber orientation distribution at the maximum electrical conductivity is quantified by a newly proposed stereology-based anisotropic degree. This index applies to both straight and curved fiber networks and has one-to-one corresponding relation with the macro electrical properties. Using Monte Carlo simulations, it is found that with the increase of anisotropic degree, the electrical conductivity increases to its maximum and then decreases gradually, which shows good agreement with experimental results. Further, a universal expression to determine the optimum anisotropic degrees of networks at different fiber concentrations is obtained, which is independent of the curliness and orientation distribution laws of fibers.
引用
收藏
页数:10
相关论文
共 53 条
[1]   THE USE OF TENSORS TO DESCRIBE AND PREDICT FIBER ORIENTATION IN SHORT FIBER COMPOSITES [J].
ADVANI, SG ;
TUCKER, CL .
JOURNAL OF RHEOLOGY, 1987, 31 (08) :751-784
[2]   A supervised iterative approach to 3D microstructure reconstruction from acquired tomographic data of heterogeneous fibrous systems [J].
Agyei, Ronald F. ;
Sangid, Michael D. .
COMPOSITE STRUCTURES, 2018, 206 :234-246
[3]   EXCLUDED VOLUME AND ITS RELATION TO THE ONSET OF PERCOLATION [J].
BALBERG, I ;
ANDERSON, CH ;
ALEXANDER, S ;
WAGNER, N .
PHYSICAL REVIEW B, 1984, 30 (07) :3933-3943
[4]   COMPUTER STUDY OF THE PERCOLATION-THRESHOLD IN A TWO-DIMENSIONAL ANISOTROPIC SYSTEM OF CONDUCTING STICKS [J].
BALBERG, I ;
BINENBAUM, N .
PHYSICAL REVIEW B, 1983, 28 (07) :3799-3812
[5]   Modeling electrical conductivities of nanocomposites with aligned carbon nanotubes [J].
Bao, W. S. ;
Meguid, S. A. ;
Zhu, Z. H. ;
Meguid, M. J. .
NANOTECHNOLOGY, 2011, 22 (48)
[6]   STEREOLOGICAL MEASUREMENT AND ERROR-ESTIMATES FOR 3-DIMENSIONAL FIBER ORIENTATION [J].
BAY, RS ;
TUCKER, CL .
POLYMER ENGINEERING AND SCIENCE, 1992, 32 (04) :240-253
[7]   Effects of nanotube alignment and measurement direction on percolation resistivity in single-walled carbon nanotube films [J].
Behnam, Ashkan ;
Guo, Jing ;
Ural, Ant .
JOURNAL OF APPLIED PHYSICS, 2007, 102 (04)
[8]   Modeling percolation in high-aspect-ratio fiber systems. I. Soft-core versus hard-core models [J].
Berhan, L. ;
Sastry, A. M. .
PHYSICAL REVIEW E, 2007, 75 (04)
[9]   Electrical conductivity of random and aligned nanocomposites: Theoretical models and experimental validation [J].
Chanda, Amit ;
Sinha, Sujeet K. ;
Datla, Naresh, V .
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2021, 149
[10]   Stiffness threshold of randomly distributed carbon nanotube networks [J].
Chen, Yuli ;
Pan, Fei ;
Guo, Zaoyang ;
Liu, Bin ;
Zhang, Jianyu .
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2015, 84 :395-423