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Neurofuzzy and SUPANOVA modelling of structure-property relationships in Al-Zn-Mg-Cu alloys

Femminella, O.P., Starink, M.J., Gunn, S.R., Harris, C.J. and Reed, P.A.S. (2000) Neurofuzzy and SUPANOVA modelling of structure-property relationships in Al-Zn-Mg-Cu alloys In Aluminium Alloys: Their Physical and Mechanical Properties. Trans Tech. 6 pp, pp. 1255-1260.

Record type: Conference or Workshop Item (Paper)


Neurofuzzy and SUPANOVA data modelling approaches have been used to determine models for yield strength and electrical conductivity from a series of experimental trials. In light of established understanding of the precipitation sequences characterising the 7xxx system, transformations of the compositional levels of important alloying elements have been derived to augment the experimental data, providing better characterisation of the main strengthening and physical characteristics of the alloys. The structure-property models identified by the neurofuzzy and SUPANOVA frameworks have been shown to lead to improvements over simple linear regression analyses, both in terms of the approximation to the experimental observations and in terms of the structure of the relationships identified. The transparency of these empirical techniques has enabled the resulting models to be validated against physical/metallurgical understanding.

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Published date: 2000
Additional Information: Materials Science Forum ISSN 0255-5476
Venue - Dates: 7th International Conference ICAA7, 2000-04-09 - 2000-04-14


Local EPrints ID: 21481
ISBN: 0878498532
PURE UUID: 8a511d1a-1325-444a-a93d-b8fa9bd36a68
ORCID for P.A.S. Reed: ORCID iD

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Date deposited: 02 Feb 2007
Last modified: 17 Jul 2017 16:26

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