Bayesian neural network model for austenite formation in steels
作者:
GavardL.,
BhadeshiaH. K. D. H.,
MacKayD. J. C.,
SuzukiS.,
期刊:
Materials Science and Technology
(Taylor Available online 1996)
卷期:
Volume 12,
issue 6
页码: 453-463
ISSN:0267-0836
年代: 1996
DOI:10.1179/mst.1996.12.6.453
出版商: Taylor&Francis
数据来源: Taylor
摘要:
AbstractThe formation of austenite during the continuous heating of steels was investigated using neural network analysis with a Bayesian framework. An extensive database consisting of the detailed chemical composition, Ac1and Ac3temperatures, and the heating rate was compiled for this purpose, using data from the published literature. This was assessed using a neural network, with the aim of modelling the austenite start and finish temperatures. The results from the neural network analysis were consistent with what might be expected from phase transformation theory.MST/3373
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