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Numerical modelling of particle distribution effects on fatigue in Al–SiCp composites

Numerical modelling of particle distribution effects on fatigue in Al–SiCp composites
Numerical modelling of particle distribution effects on fatigue in Al–SiCp composites
Various reports in the literature have highlighted the effects of particle distribution on the fatigue behaviour of particulate reinforced metal matrix composites (PMMCs), although few attempts have been made at modelling such effects. A micromechanical understanding of the effects of clustering on short crack growth behaviour in Al–SiCp composites has been achieved via finite element modelling. Comparison of preliminary models with the literature has shown that shielding/anti-shielding effects were significantly affected by the relative sizes of the particle and the overall model such that, when edge effects were removed, a crack was predicted to be accelerated rather than decelerated as it propagated through closely spaced pairs of particles. Consistent differences were identified between models with homogeneous versus clustered particle arrangements in terms of crack path morphologies and local crack–tip stress intensity fluctuations. Furthermore, predicted influences of clustering on growth rates in the numerical models were found to be consistent with previous experimental results (i.e. growth rates rose with increased clustering), demonstrating that load transfer effects associated with changes in particle distribution may play a direct role in controlling the growth of short cracks in these materials.
modelling, fatigue, particle distribution, clustering, shielding, short crack growth
0921-5093
113-124
Boselli, J.
5045ca47-151c-4317-97c9-ffb0915343d5
Pitcher, P.D.
211dee74-f903-4960-b9ed-6cee8d0a33f2
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d
Boselli, J.
5045ca47-151c-4317-97c9-ffb0915343d5
Pitcher, P.D.
211dee74-f903-4960-b9ed-6cee8d0a33f2
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d

Boselli, J., Pitcher, P.D., Gregson, P.J. and Sinclair, I. (2001) Numerical modelling of particle distribution effects on fatigue in Al–SiCp composites. Materials Science and Engineering: A, 300 (1-2), 113-124. (doi:10.1016/S0921-5093(00)01671-3).

Record type: Article

Abstract

Various reports in the literature have highlighted the effects of particle distribution on the fatigue behaviour of particulate reinforced metal matrix composites (PMMCs), although few attempts have been made at modelling such effects. A micromechanical understanding of the effects of clustering on short crack growth behaviour in Al–SiCp composites has been achieved via finite element modelling. Comparison of preliminary models with the literature has shown that shielding/anti-shielding effects were significantly affected by the relative sizes of the particle and the overall model such that, when edge effects were removed, a crack was predicted to be accelerated rather than decelerated as it propagated through closely spaced pairs of particles. Consistent differences were identified between models with homogeneous versus clustered particle arrangements in terms of crack path morphologies and local crack–tip stress intensity fluctuations. Furthermore, predicted influences of clustering on growth rates in the numerical models were found to be consistent with previous experimental results (i.e. growth rates rose with increased clustering), demonstrating that load transfer effects associated with changes in particle distribution may play a direct role in controlling the growth of short cracks in these materials.

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More information

Published date: 2001
Keywords: modelling, fatigue, particle distribution, clustering, shielding, short crack growth
Organisations: Engineering Sciences

Identifiers

Local EPrints ID: 21597
URI: http://eprints.soton.ac.uk/id/eprint/21597
ISSN: 0921-5093
PURE UUID: 1df0c872-0ef8-412f-8658-2e543b63a20e

Catalogue record

Date deposited: 13 Mar 2006
Last modified: 15 Mar 2024 06:31

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Contributors

Author: J. Boselli
Author: P.D. Pitcher
Author: P.J. Gregson
Author: I. Sinclair

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