Reconstruction and modeling of 3D percolation networks of carbon fillers in a polymer matrix |
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| Authors: | Eliodoro Chiavazzo Pietro Asinari |
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| Affiliation: | 1. Jiangsu Provincial Key Lab of Fine Petrochemicals, Changzhou University, Changzhou 213164, PR China;2. Science and Technology Department, Changzhou College of Information Technology, Changzhou 213164, PR China;3. Jiangnan Graphene Research Institute, Changzhou 213000, PR China;4. School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China;1. Department of Analytical Chemistry, University of Cadiz, Cadiz, Spain;2. Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy;1. Space Research Institute of Russian Academy of Sciences, Profsoyuznaya 84/32, 117997, Moscow, Russia;2. Moscow Institute of Physics and Technology, Institutskyi per. 9, 141700, Dolgoprudny, Moscow Region, Russia;3. Polar Geophysical Institute of Russian Academy of Sciences, Akademgorodok 26a, 184209, Apatity, Murmansk Region, Russia;1. State Key Laboratory of New Ceramics and Fine Processing, Department of Materials Science and Engineering, Tsinghua University, Beijing 100084, China;2. Key Laboratory of Thermal Management Engineering and Materials, Graduate School at Shenzhen, Tsinghua University, Shenzhen City, Guangdong Province 518055, China;1. National University of Defense Technology, College of Science, Changsha 410073, China;2. National University of Defense Technology, College of Photoelectricity, Changsha 410073, China;1. Laboratory for Optics and Applied Mechanics, Department of Mechanical & Aerospace Engineering, Monash University, Clayton, Victoria 3800, Australia;2. Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Centre for Translational Medicine, 14 Medical Drive, Singapore 117599, Singapore |
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| Abstract: | In the present work, we illustrate a methodology for the reconstruction and modeling of three-dimensional micro-structures of highly anisotropic composite materials. Specifically, we focus on disk-shaped nano-fillers dispersed in a polymer matrix and detailed numerical investigations, based on the lattice Boltzmann method (LBM), are carried out on the global thermal conductivity. |
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