Predicting the structural performance of heat-treatable Al-alloys


Starink, M.J., Sinclair, I., Reed, P.A.S. and Gregson, P.J. (2000) Predicting the structural performance of heat-treatable Al-alloys. In, Starke, Jr., E.A., Sanders, T.H. and Cassada, W.A. (eds.) Aluminium Alloys - Their Physical and Mechanical Properties. 7th International Conference ICAA7 Switzerland, Trans Tech, 97-110. (Materials Science Forum 331-337).

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Description/Abstract

Advances in physically-based and adaptive numeric modelling (ANM) have lead to a significant elevation of the role of modelling in commercial alloy development and process optimisation. Within these two categories of modelling a wide variety of techniques exists, whilst hybrid approaches, taking advantage of the benefits of the both methods, are also being developed. In this paper various ANM techniques and physically-based models relevant for modelling and predicting the properties of heat treatable Al-based alloys are reviewed, and case studies involving the modelling of proof stress, toughness and conductivity of a range of Al-based alloys are presented. These case studies illustrate that successful modelling requires an in-depth understanding of the various modelling options. Selection of the optimum modelling approach is driven by a range of factors, such as size of database available (large databases are best analysed using adaptive numeric modelling approaches), and availability of sound physical understanding (the latter benefiting physically-based approaches).

Item Type: Book Section
ISBNs: 0878498532 (hardback)
ISSNs: 0255-5476 (print)
Related URLs:
Keywords: adaptive numeric modelling, aerospace alloys, conductivity, physical modelling, strength, toughness, aluminium alloys
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TN Mining engineering. Metallurgy
Q Science > QC Physics
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 21469
Date Deposited: 13 Mar 2006
Last Modified: 27 Mar 2014 18:10
Publisher: Trans Tech
URI: http://eprints.soton.ac.uk/id/eprint/21469

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