Virtual Testing Architecture for Prediction of Effective Properties of Particulate Composites
Okereke, Michael ORCID: 0000-0002-2104-012X and Akpoyomare, Ambrose I.
(2015)
Virtual Testing Architecture for Prediction of Effective Properties of Particulate Composites.
In: International Conference on Advances in Composite Materials and Structures.
ICACMS, Istanbul Turkey, p. 4.
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13546_OKEREKE_Virtual_testing_architecture_(conf.)_(2015).pdf - Accepted Version Download (81kB) |
Abstract
This study has developed a computational virtual testing architecture for predicting effective properties of particulate composites. A particulate composite made up of SiC filler in an alumina matrix was used in this work. The test composite was modelled first by considering perfect bonding between the matrix and filler constituents and subsequently the effect of interphase region was assessed too.
Item Type: | Conference Proceedings |
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Title of Proceedings: | International Conference on Advances in Composite Materials and Structures |
Additional Information: | International Conference on Advances in Composite Materials and Structures, tanbul, Turkey, 13-15 April 2015 |
Uncontrolled Keywords: | virtual testing, particulate, predictive modelling, periodic boundary conditions, representative volume element, Monte Carlo approach |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science > School of Engineering (ENG) |
Last Modified: | 31 Jul 2017 11:29 |
URI: | http://gala.gre.ac.uk/id/eprint/13546 |
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