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Virtual Testing Architecture for Prediction of Effective Properties of Particulate Composites

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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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
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 / Department / Research Group: Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 31 Jul 2017 11:29
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/13546

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