Multiscale Finite Element Simulation of Thermal Properties and Mechanical Strength of Reduced Graphene Oxide Reinforced Aluminium Matrix Composite

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The effective properties of metal matrix composites (MMCs) depend on matrix material and reinforcement property specifications as well as bonding at interphase. The use of numerical methods such as finite element (FE) and mean field homogenization (MFH) can assist in predicting MMC properties thus reducing time and cost of optimizing composite properties through experiments. In the present work, a multiscale representative volume element (RVE) of the microstructure of reduced graphene oxide (rGO) reinforced Aluminium (Al) matrix composite (rGO/Al) is created in MSC DigiMat and analysed using Abaqus software. The effect of porosity and rGO reinforcement on thermal conductivity and strength of the rGO/Al composites is studied. The variation in thermal conductivity between FE-RVE and experimental data is a maximum of 2.2% and a minimum of 0.07% for rGO reinforcement of 1 wt.% and 3 wt.% respectively. The results show good agreement between FE-RVE simulation, MFH and experimental data. This approach can provide an efficient technique for selecting matrix and reinforcement phase properties for MMC fabrication. Keywords: Al/rGO composite, Multiscale finite element-representative volume, Thermal and mechanical properties

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39-46

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September 2019

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Haghshenas, Metal–Matrix Composites,, in Reference Module in Materials Science and Materials Engineering, Elsevier, (2016).

DOI: 10.1016/b978-0-12-803581-8.03950-3

Google Scholar

[2] J. Nafar Dastgerdi, B. Anbarlooie, A. Miettinen, H. Hosseini-Toudeshky, and H. Remes, Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finite element modeling,, Composites Part B: Engineering, vol. 153, p.57–69, Nov. (2018).

DOI: 10.1016/j.compositesb.2018.07.027

Google Scholar

[3] MSC Software, Digimat User Manual Documentation., MSC software company, (2014).

Google Scholar

[4] J. Kim, homogenization and uncertainty analysis for fiber reinforced composites,, p.108.

Google Scholar

[5] H. Liu, D. Zeng, Y. Li, and L. Jiang, Development of RVE-embedded solid elements model for predicting effective elastic constants of discontinuous fiber reinforced composites,, Mechanics of Materials, vol. 93, p.109–123, Feb. (2016).

DOI: 10.1016/j.mechmat.2015.10.011

Google Scholar

[6] N. K. Sharma, R. K. Misra, and S. Sharma, Finite element modeling of effective thermomechanical properties of Al–B4C metal matrix composites,, Journal of Materials Science, vol. 52, no. 3, p.1416–1431, Feb. (2017).

DOI: 10.1007/s10853-016-0435-1

Google Scholar

[7] J. J. Williams, J. Segurado, J. LLorca, and N. Chawla, Three dimensional (3D) microstructure-based modeling of interfacial decohesion in particle reinforced metal matrix composites,, Materials Science and Engineering: A, vol. 557, p.113–118, Nov. (2012).

DOI: 10.1016/j.msea.2012.05.108

Google Scholar

[8] N. Chawla, R. Sidhu, and V. Ganesh, Three-dimensional visualization and microstructure-based modeling of deformation in particle-reinforced composites,, Acta Materialia, vol. 54, no. 6, p.1541–1548, Apr. (2006).

DOI: 10.1016/j.actamat.2005.11.027

Google Scholar

[9] J. F. Zhang, X. X. Zhang, Q. Z. Wang, B. L. Xiao, and Z. Y. Ma, Simulations of deformation and damage processes of SiCp/Al composites during tension,, Journal of Materials Science & Technology, vol. 34, no. 4, p.627–634, Apr. (2018).

DOI: 10.1016/j.jmst.2017.09.005

Google Scholar

[10] H. Ji, R. Mclendon, J. A. Hurtado, V. Oancea, and J. Bi, Multi-scale Material Modeling with the Mean-Field Homogenization Method,, p.26, (2018).

Google Scholar

[11] J. Zhang et al., 3D Microstructure-based finite element modeling of deformation and fracture of SiCp/Al composites,, Composites Science and Technology, vol. 123, p.1–9, Feb. (2016).

DOI: 10.1016/j.compscitech.2015.11.014

Google Scholar

[12] Z. Yuan, F. Li, F. Xue, M. He, and M. Z. Hussain, Analysis of the stress states and interface damage in a particle reinforced composite based on a micromodel using cohesive elements,, Materials Science and Engineering: A, vol. 589, p.288–302, Jan. (2014).

DOI: 10.1016/j.msea.2013.09.097

Google Scholar

[13] L. Zhang et al., Aluminum/graphene composites with enhanced heat-dissipation properties by in-situ reduction of graphene oxide on aluminum particles,, Journal of Alloys and Compounds, vol. 748, p.854–860, Jun. (2018).

DOI: 10.1016/j.jallcom.2018.03.237

Google Scholar

[14] W.-G. Jiang, R.-Z. Zhong, Q. Qin, and Y.-G. Tong, Homogenized Finite Element Analysis on Effective Elastoplastic Mechanical Behaviors of Composite with Imperfect Interfaces,, International Journal of Molecular Sciences, vol. 15, no. 12, p.23389–23407, Dec. (2014).

DOI: 10.3390/ijms151223389

Google Scholar

[15] A. J. C. Wilson, The thermal expansion of aluminium from 0 to 650 C,, Proceedings of the Physical Society, vol. 53, no. 3, p.235–244, May (1941).

Google Scholar

[16] J. S. Bunch, Mechanical and electrical properties of graphene sheets., Cornell University, (2008).

Google Scholar