Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor | Multi-disciplinary Studies | en_US |
dc.contributor | Department of Applied Physics | en_US |
dc.creator | Chau, Kwong-ming | - |
dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/2088 | - |
dc.language | English | en_US |
dc.publisher | Hong Kong Polytechnic University | - |
dc.rights | All rights reserved | en_US |
dc.title | Computer simulation and statistical characterisation of the microstructure of hard-sphere-filled composite materials | en_US |
dcterms.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. | en_US |
dcterms.extent | vii, 101 leaves : ill. (some col.) ; 30 cm | en_US |
dcterms.isPartOf | PolyU Electronic Theses | en_US |
dcterms.issued | 2000 | en_US |
dcterms.educationalLevel | All Master | en_US |
dcterms.educationalLevel | M.Sc. | en_US |
dcterms.LCSH | Composite materials -- Computer simulation | en_US |
dcterms.LCSH | Microstructure -- Computer simulation | en_US |
dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
dcterms.accessRights | restricted access | en_US |
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 |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/2088