The University of Southampton
University of Southampton Institutional Repository

Quantification of particle distribution effects on fatigue in an Al-SiCp composite

Quantification of particle distribution effects on fatigue in an Al-SiCp composite
Quantification of particle distribution effects on fatigue in an Al-SiCp composite
A detailed experimental investigation has been carried out into the effects of particle distribution and morphology on the smooth specimen fatigue behaviour in a powder-processed 2124-based Al–18.7 vol.% silicon carbide particulate (SiCp) composite with a nominal reinforcement particle size of 6.5 ?m. Experimental results are reported on the development of fatigue damage in the moderate to high cycle regime, highlighting the role of short crack growth behaviour and the limited initiation life in the materials tested. A methodology is presented for quantitatively analysing the effects of reinforcement spatial distribution and morphology on short crack growth using previously reported finite-body tessellation techniques. Tessellation analysis of the composite has demonstrated that direct crack–tip interactions with the reinforcement particles occurred preferentially in small particle/low volume fraction regions, with further analysis suggesting a controlling influence of particle size on crack path behaviour. In addition, multiple linear regressions of the tessellation data identify a combined influence on growth rates in the ‘discontinuous’ regime of reinforcement clustering and reinforcement morphology (orientation and/or aspect ratio). Results are discussed in relation to known short crack growth mechanics and the microstructural and micromechanical characteristics of particle-reinforced systems.
72-82
Boselli, J.
5045ca47-151c-4317-97c9-ffb0915343d5
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d
Boselli, J.
5045ca47-151c-4317-97c9-ffb0915343d5
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d

Boselli, J., Gregson, P.J. and Sinclair, I. (2004) Quantification of particle distribution effects on fatigue in an Al-SiCp composite. Materials Science And Engineering A, 379 (1-2), 72-82. (doi:10.1016/j.msea.2003.11.043).

Record type: Article

Abstract

A detailed experimental investigation has been carried out into the effects of particle distribution and morphology on the smooth specimen fatigue behaviour in a powder-processed 2124-based Al–18.7 vol.% silicon carbide particulate (SiCp) composite with a nominal reinforcement particle size of 6.5 ?m. Experimental results are reported on the development of fatigue damage in the moderate to high cycle regime, highlighting the role of short crack growth behaviour and the limited initiation life in the materials tested. A methodology is presented for quantitatively analysing the effects of reinforcement spatial distribution and morphology on short crack growth using previously reported finite-body tessellation techniques. Tessellation analysis of the composite has demonstrated that direct crack–tip interactions with the reinforcement particles occurred preferentially in small particle/low volume fraction regions, with further analysis suggesting a controlling influence of particle size on crack path behaviour. In addition, multiple linear regressions of the tessellation data identify a combined influence on growth rates in the ‘discontinuous’ regime of reinforcement clustering and reinforcement morphology (orientation and/or aspect ratio). Results are discussed in relation to known short crack growth mechanics and the microstructural and micromechanical characteristics of particle-reinforced systems.

This record has no associated files available for download.

More information

Published date: 15 August 2004
Organisations: Engineering Sciences

Identifiers

Local EPrints ID: 22924
URI: http://eprints.soton.ac.uk/id/eprint/22924
PURE UUID: 6ef7ed5d-1861-4500-9798-ad2a20f33ef1

Catalogue record

Date deposited: 23 Mar 2006
Last modified: 15 Mar 2024 06:42

Export record

Altmetrics

Contributors

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

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.

×