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Discrete Network Modelling of Near-Ideal Polymer Networks

thesis
posted on 06.07.2021, 03:38 by Ghadeer Alame
In recent years, new types of polymer gels have emerged, which have a controllable network structure and few topological defects. These near-ideal polymer networks constitute a good model system to revisit the long-standing problem of structure-property relationships in polymer networks. We develop a novel, mesoscale computational approach based on random Discrete Networks (DNs). The variable structure of DN allows the investigation of different network features on the network elasticity. We obtain numerical scaling relationships between network parameters and elastic properties. The scaling relationships are used to probe the evolution in the network structure of tetra-PEG gels with different preparation conditions.

History

Campus location

Australia

Principal supervisor

John Stanley Forsythe

Additional supervisor 1

Laurence Brassart

Year of Award

2021

Department, School or Centre

Materials Science and Engineering

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering