2020
DOI: 10.1016/j.heliyon.2020.e04008
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Multiscale analysis and experimental validation of the effective elastic modulus of epoxy-dioctahedral phyllosilicate clay composite

Abstract: In this research, developed finite element codes were used to study the effective elastic modulus and stress-strain distribution profiles of epoxy resin filled with 6 wt. % microparticles of kaolinite. The random distribution of the particles was microstructurally regenerated with Digimat MSC software and random sequential algorithm codes in epoxy matrix. Stochastic representative volume element models of the composites were developed and analyzed under periodic boundary conditions. For validation, the predict… Show more

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Cited by 12 publications
(5 citation statements)
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“…The MFH approach is a fast (requires no generation of RVE model and meshing) and efficient way to forecast the effective elastic properties of linear elastic composites. The mean-field stress ( σ ) and strain (  ) in each phase i and associated parameters are given in [42]. Figs.…”
Section: Convergence Of the Results With Regard To Mesh Sizementioning
confidence: 99%
“…The MFH approach is a fast (requires no generation of RVE model and meshing) and efficient way to forecast the effective elastic properties of linear elastic composites. The mean-field stress ( σ ) and strain (  ) in each phase i and associated parameters are given in [42]. Figs.…”
Section: Convergence Of the Results With Regard To Mesh Sizementioning
confidence: 99%
“…From the results of the analyses of Daramoul’s work [ 58 ], it is possible to analyze the influence of homogenization methods on the effectiveness of predicting the mechanical properties of a composite with an epoxy resin matrix filled with kaolinite microparticles of 6% mass fraction in the matrix. The computational methods were compared using the Digimat FE module, the Mori-Tanaka homogenization model, and the Voight model.…”
Section: Discussionmentioning
confidence: 99%
“…32 Daramola et al conducted multi-scale modeling of epoxy/clay composite. 33 The predicted results were also validated experimentally. The less than 5% error was recorded between actual and predicted results.…”
Section: Introductionmentioning
confidence: 88%
“…The obtained regression equation for exposed time and Young's modulus are shown in equation ( 32) and (33), respectively. It can be seen, that the obtained p values are less than 0.05 for both cases.…”
Section: Declaration Of Conflicting Interestsmentioning
confidence: 99%