• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2007, Vol. 43 ›› Issue (10): 211-214.

• Article • Previous Articles     Next Articles

GENETIC PROGRAMMING APPROACH TO PREDICTING THE TEMPER EMBRITTLEMENT OF ROTOR STEELS

ZHANG Shenghan;FAN Yongzhe;CHEN Yingmin   

  1. School of Environmental Science and Engineering, North China Electric Power University School of Material Science and Engineering, Hebei University of Technology
  • Published:2007-10-15

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: Electrochemical polarization, Genetic programming, Steam turbine rotor, Temper embrittlement

CLC Number: