Predicting Temper Embrittlement of 30Cr2MoV Rotor Steel with Genetic Programming

摘要：

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 was 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.

关键词： steam turbine rotor temper embrittlement electrochemical polarization genetic programming

作者: Xiaoming CAO Yongzhe FAN Rina MA An DU

作者单位: School of Material Science and Engineering, Hebei University of Technology, Tianjin 300130, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Physical and Numerical Simulation of Materials Processing(第五届材料与热加工物理模拟及数值模拟国际会议)

会议地点: 郑州

会议语种:英文

在线出版日期: 2007-10-23（万方平台首次上网日期，不代表论文的发表时间）