Neurofuzzy and SUPANOVA modelling of structure-property relationships in Al-Zn-Mg-Cu alloys
Neurofuzzy and SUPANOVA modelling of structure-property relationships in Al-Zn-Mg-Cu alloys
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.
0878498532
1255-1260
Femminella, O.P.
be8a8548-2f97-4d11-bd06-012e27609627
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
2000
Femminella, O.P.
be8a8548-2f97-4d11-bd06-012e27609627
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
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 Publications.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
Femminella_et_al_2000_ICAA7_fr_own_file.pdf
- Other
Restricted to Registered users only
Request a copy
More information
Published date: 2000
Additional Information:
Materials Science Forum ISSN 0255-5476
Venue - Dates:
7th International Conference ICAA7, Charlottesville, Virginia, 2000-04-09 - 2000-04-14
Identifiers
Local EPrints ID: 21481
URI: http://eprints.soton.ac.uk/id/eprint/21481
ISBN: 0878498532
PURE UUID: 8a511d1a-1325-444a-a93d-b8fa9bd36a68
Catalogue record
Date deposited: 02 Feb 2007
Last modified: 16 Mar 2024 02:44
Export record
Contributors
Author:
O.P. Femminella
Author:
S.R. Gunn
Author:
C.J. Harris
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
