Predicting Residual Stress Characteristics Based on BP Artificial Neural Network in Precision HardTurning

摘要：

The prediction models of residuaI stress on surface are built using BP UrtificiaI neuraI network in precision hard turning．which defines tooI parameters and cutting parameters as input values．and the values of residual stress characteristics US output，and the modeIs are verified by experiment．Finally， MATLAB is used to develop prediction system of the residual stress in precision hard turning with PCBN tools．The system has realized higher-accuracy prediction of surface integrity in precision hard turning．

关键词： precision hard turning residual stress BP artificial neural network prediction

作者: Tao Chen

作者单位: School of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin150001,China School of Mechanical and Power Engineering, Harbin University of Science and

会议类型: 国际会议

会议名称: 2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 1615-1618

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）