J. T. Liu
,
H.B. Chang
,
R.H. Wu
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T. Y. Hsu(Xu Zuyao) and X.R. Ruan( 1)Department of Plasticity Technology
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Shanghai Jiao Tong University
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Shanghai 200030
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China 2)School of Materials Science and Engineering
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Shanghai Jiao Tong University
,
Shanghai 200030
,
China)
金属学报(英文版)
The hot deformation behavior of TI (18W-4Cr-1V) high-speed steel was investigated by means of continuous compression tests performed on Gleeble 1500 thermomechan- ical simulator in a wide range of tempemtures (950℃-1150℃) with strain rotes of 0.001s-1-10s-1 and true strains of 0-0. 7. The flow stress at the above hot defor- mation conditions is predicted by using BP artificial neural network. The architecture of network includes there are three input parameters:strain rate,temperature T and true strain , and just one output parameter, the flow stress ,2 hidden layers are adopted, the first hidden layer includes 9 neurons and second 10 negroes. It has been verified that BP artificial neural network with 3-9-10-1 architecture can predict flow stress of high-speed steel during hot deformation very well. Compared with the prediction method of flow stress by using Zaped-Holloman parumeter and hyperbolic sine stress function, the prediction method by using BP artificial neurul network has higher efficiency and accuracy.
关键词:
T1 high-speed steel
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