Heat treatment optimization for 7175 aluminum alloy by genetic algorithm

Citation
Rg. Song et Qz. Zhang, Heat treatment optimization for 7175 aluminum alloy by genetic algorithm, MAT SCI E C, 17(1-2), 2001, pp. 133-137
Citations number
8
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science
Journal title
MATERIALS SCIENCE & ENGINEERING C-BIOMIMETIC AND SUPRAMOLECULAR SYSTEMS
ISSN journal
09284931 → ACNP
Volume
17
Issue
1-2
Year of publication
2001
Pages
133 - 137
Database
ISI
SICI code
0928-4931(20011101)17:1-2<133:HTOF7A>2.0.ZU;2-W
Abstract
We performed a systematic experimental investigation of the effect of heat treatment on the mechanical properties of 7175 aluminum alloy. The genetic algorithm (GA) was used to search for the optimum technique for 7175 alumin um alloy based on modeling with an artificial neural network (ANN). The res ults strongly indicate that the artificial neural network and genetic algor ithm combined offer a new and effective means for optiniizing material proc essing techniques. (C) 2001 Elsevier Science B.V. All rights reserved.