Predicting the structural performance of heat-treatable Al-alloys
Predicting the structural performance of heat-treatable Al-alloys
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).
adaptive numeric modelling, aerospace alloys, conductivity, physical modelling, strength, toughness, aluminium alloys
0878498532
97-110
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
2000
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Gregson, P.J.
ddc3b65d-18fb-4c11-9fa1-feb7e9cbe9fe
Starink, M.J., Sinclair, I., Reed, P.A.S. and Gregson, P.J.
(2000)
Predicting the structural performance of heat-treatable Al-alloys.
Starke, Jr., E.A., Sanders, T.H. and Cassada, W.A.
(eds.)
In Aluminium Alloys - Their Physical and Mechanical Properties.
Trans Tech Publications.
.
Record type:
Conference or Workshop Item
(Paper)
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).
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More information
Published date: 2000
Venue - Dates:
7th International Conference ICAA7, Charlottesville, Virginia, 2000-04-09 - 2000-04-14
Keywords:
adaptive numeric modelling, aerospace alloys, conductivity, physical modelling, strength, toughness, aluminium alloys
Identifiers
Local EPrints ID: 21469
URI: http://eprints.soton.ac.uk/id/eprint/21469
ISBN: 0878498532
ISSN: 0255-5476
PURE UUID: b30854a4-5d15-464f-95b7-328e87b0ad0d
Catalogue record
Date deposited: 13 Mar 2006
Last modified: 16 Mar 2024 02:44
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Contributors
Author:
P.J. Gregson
Editor:
E.A. Starke, Jr.
Editor:
T.H. Sanders
Editor:
W.A. Cassada
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