Application of artificial neural network for prediction of time-temperature-transformation diagrams in titanium alloys

Authors
Malinov, S Sha, W Guo, Z
Citation
S. Malinov et al., Application of artificial neural network for prediction of time-temperature-transformation diagrams in titanium alloys, MAT SCI E A, 283(1-2), 2000, pp. 1-10
Citations number
63
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science","Material Science & Engineering
Journal title
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
ISSN journal
09215093 → ACNP
Volume
283
Issue
1-2
Year of publication
2000
Pages
1 - 10
Database
ISI
SICI code
0921-5093(20000515)283:1-2<1:AOANNF>2.0.ZU;2-9
Abstract
A model of artificial neural network for simulation of time-temperature-tra nsformation (TTT) diagrams for titanium alloys was designed. Standard backp ropagation multilayer feedforward network was created and trained using dat a from published literature. The influence of aluminium, vanadium, molybden um and oxygen on transformation kinetics in titanium alloys was assessed on the base of the trained neural network. The results are in good agreement with what is expected from phase transformation theory. Using the model, TT T diagrams for some commercial alloys were predicted. A graphical user inte rface was created for the use of the model. (C) 2000 Elsevier Science S.A. All rights reserved.