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GENETIC PROGRAMMING
APPROACH TO
PREDICTING THE TEMPER EMBRITTLEMENT
OF
ROTOR STEELS
ZHANG Shenghan1 FAN Yongzhe2 CHEN Yingmin1
(1. School of Environmental Science and
Engineering, North China Electric Power
University, Baoding 071003;
2. School of Material Science and Engineering,
Hebei University of Technology, Tianjin 300130)
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Abstract: The genetic programming approach is proposed to predict temper embrittlement of rotor steel (30Cr2MoV). Two independent data sets are obtained experimentally: training data and verifying data. Peak current density of reactivation, temperature of electrolyte, the general chemical composition parameter (J-factor), chemical composition of Cr and S, hardness and the grain size parameter of the material are used as independent variables, while fracture appearance transition temperature as dependent variable. On the basis of training data, the best model is obtained by genetic programming, and the accuracy of it is verified with the verifying data. The prediction error of the model is within the scatter of ±20 ℃. The results suggest that, the prediction model obtained by genetic programming is feasible and effective.
Key words: Steam turbine rotor Temper embrittlement
Electrochemical polarization Genetic programming
CLC No:
TK268
国家电力公司科技资助项目(SP11-2001-02-29). Received 20061010, received in revised form 20070719收到修改搞
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