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An efficient numerical model for investigating the effects of anisotropy on the effective thermal conductivity of alumina/Al composites
Affiliation:1. Hubei Provincial Key Laboratory of Green Materials for Light Industry, Hubei University of Technology, Wuhan 430068, China;2. College of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;1. National Research and Development Institute for Chemistry and Petrochemistry-ICECHIM, Advanced Polymer Materials and Polymer Recycling Group, Splaiul Independentei No. 202, Bucharest, Romania;2. University “Politehnica” of Bucharest, Department of Bioresources and Polymer Science, Calea Victoriei No. 149, Bucharest, Romania;3. Institute of Physical Chemistry of the Romanian Academy “Ilie Murgulescu”, Splaiul Independentei No. 202, Bucharest, Romania;1. Institute of Electronics, Bulgarian Academy of Sciences, 72 Tsarigradsko Shose, Sofia 1784, Bulgaria;2. Rostislaw Kaischew Institute of Physical Chemistry, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 11, Sofia 1113, Bulgaria;3. CNR-SPIN, Dipartimento di Scienze Fisiche, Universita degli Studi di Napoli Federico II, Complesso Universitario di Monte S. Angelo, Via Cintia, I-80126 Napoli, Italy;4. Photophysics Department, The Szewalski Institute, Polish Academy of Sciences, 14 Fiszera St., 80-231 Gdańsk, Poland;5. Vrije Universiteit Brussels, Faculty of Engineering, Research group, SURF “Electrochemical and Surface Engineering”, Belgium;6. Université Libre de Bruxelles, Materials Engineering, Characterization, Synthesis and Recycling (Service 4MAT), Faculté des Sciences Appliquées, 1050 Brussels, Belgium
Abstract:The paper describes an efficient numerical model for better understanding the influence of the microstructure on the thermal conductivity of heterogeneous media. This is the extension of an approach recently proposed for simulating and evaluating effective thermal conductivities of alumina/Al composites. A C++ code called MultiCAMG, taking into account all steps of the proposed approach, has been implemented in order to satisfy requirements of efficiency, optimization and code unification. Thus, on the one hand, numerical tools such as the efficient Eyre–Milton scheme for computing the thermal response of composites have been implemented for reducing the calculation cost. On the other hand, statistical parameters such as the covariance and the distribution of contact angles between particles are now estimated for better analyzing the microstructure. In the present work we focus our investigations on the effects of anisotropy on the effective thermal conductivity of alumina/Al composites. First of all, an isotropic benchmark is set up for comparison purposes. Secondly, anisotropic configurations are studied in order to direct the heat flux. A transversally isotropic structure, taking benefit of wall effects, is finally proposed for controlling the orientation of contact angles. Its thermal capabilities are related to the current issue of heat dissipation in automotive engine blocks.
Keywords:Composite materials  Thermal conductivity  Granular systems  Fast Fourier transform method  Numerical homogenization  Discrete Elements
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