Computer simulation and statistical characterisation of the microstructure of hard-sphere-filled composite materials

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Computer simulation and statistical characterisation of the microstructure of hard-sphere-filled composite materials

 

Author: Chau, Kwong-ming
Title: Computer simulation and statistical characterisation of the microstructure of hard-sphere-filled composite materials
Year: 2000
Subject: Composite materials -- Computer simulation
Microstructure -- Computer simulation
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Applied Physics
Pages: vii, 101 leaves : ill. (some col.) ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1540664
URI: http://theses.lib.polyu.edu.hk/handle/200/2088
Abstract: Different configurations of microstructures would result in different properties of the composite materials. Therefore, it is very important to understand the microstructures. By characterising a composite material with suitable morphological functions or parameters, it is possible to reveal its physical and mechanical properties. In this work, computer simulation programs are developed for the calculation of the morphological characterisation functions and parameters. The functions studied are the nearest-neighbour distribution functions and excluding probabilities as both particle and void quantities, and the spatial correlation functions. The parameters included are the matrix ligament thickness and the mean nearest-neighbour distance. In order to verify our simulation, we compared the simulated result with the theoretical results for the well-dispersed morphology with identical hard spheres and found good agreement between them. The calculation of these morphological characterisation functions and parameters are then applied to well-dispersed, non-equisized particle configuration and well-dispersed morphology, agglomerated morphology and pseudonetwork morphology for equisized particle configurations. It is observed that the agglomerated morphology distinguishes itself clearly from the well-dispersed and the pseudonetwork morphologies. But the effects of well-dispersed and pseudonetwork morphologies are very similar. They are distinguishable in the slope of particle exclusion probability and in the "cut-offs" of void exclusion probability. Finally, cluster fraction is also studied for its dependence on the inclusion volume fraction.

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