Numerical simulation of the effect of particle spatial distribution and strength on tensile behavior of particle reinforced composites

A. Ayyar, G. A. Crawford, J. J. Williams, Nikhilesh Chawla

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

The spatial distribution of reinforcement particles significantly influences the tensile behavior of particle reinforced composites. In this study, we have modeled the effect of particle clustering in a model metal matrix composite, SiC particle reinforced Al. The SiC particles were modeled as purely elastic, while the Al matrix was modeled as elastic-plastic. To study the effect of particle distribution, the SiC particles were represented as two-dimensional circular particles of uniform diameter. Three particle distributions - ordered, random, and clustered were evaluated. The degree of particle clustering was quantified using the coefficient of variance of the mean near-neighbor distance method. The evolution of damage by particle fracture was included in the model. The cases for (a) all SiC particles having uniform fracture strength and (b) variable fracture strength were considered (using a Weibull distribution in strength). The effects of particle distribution were elucidated and are discussed.

Original languageEnglish (US)
Pages (from-to)496-506
Number of pages11
JournalComputational Materials Science
Volume44
Issue number2
DOIs
StatePublished - Dec 2008

Keywords

  • Clustering
  • Finite element method (FEM)
  • Fracture
  • Metal matrix composite

ASJC Scopus subject areas

  • General Computer Science
  • General Chemistry
  • General Materials Science
  • Mechanics of Materials
  • General Physics and Astronomy
  • Computational Mathematics

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