| Author: | Chau, Kwong-ming |
| Title: | Computer simulation and statistical characterisation of the microstructure of hard-sphere-filled composite materials |
| Degree: | M.Sc. |
| Year: | 2000 |
| Subject: | Composite materials -- Computer simulation Microstructure -- Computer simulation Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Department of Applied Physics |
| Pages: | vii, 101 leaves : ill. (some col.) ; 30 cm |
| Language: | English |
| 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. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b15406647.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 8.95 MB | Adobe PDF | View/Open |
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