The University of Southampton
University of Southampton Institutional Repository

Simulation and quantitative assessment of finite­size particle distributions in metal matrix composites

Yang, N., Boselli, J. and Sinclair, I. (2000) Simulation and quantitative assessment of finite­size particle distributions in metal matrix composites Materials Science and Technology, 16, (7-8), pp. 797-805.

Record type: Article

Abstract

A series of finite­size particle distributions were simulated to investigate the effects of particle size, shape, orientation, and area fraction on the quantification of homogeneity in structural particulate metal matrix composites (MMCs). It is found that, for nominally random distributions, the values of conventional centre-to-centre nearest-neighbour spacing parameters are influenced by particle morphology, and, as such, are unsuitable for characterising distributions of finite-size particles. However, the coefficient of variation of the mean near-neighbour distance COV(dmean), derived from particle interfaces using finite-body tessellation, appears independent of particle shape, size distribution, orientation, and area fraction, while showing great sensitivity to particle clustering. In the range of particle morphological characteristics studied, the random distributions were found to exhibit a consistent value of COV(dmean) equal to 0.36±0.02. The degree of inhomogeneity of any given distribution may then be evaluated by simply comparing the measured COV(dmean) with this value

Full text not available from this repository.

More information

Published date: 2000

Identifiers

Local EPrints ID: 21483
URI: http://eprints.soton.ac.uk/id/eprint/21483
ISSN: 0267-0836
PURE UUID: 0b0f5f8c-897f-485b-a9ad-978555bcd34c

Catalogue record

Date deposited: 08 Feb 2007
Last modified: 17 Jul 2017 16:26

Export record

Contributors

Author: N. Yang
Author: J. Boselli
Author: I. Sinclair

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×