关键词: 机械制造工艺与设备, 高速铣削, 表面完整性, 疲劳寿命, 人工神经网络

Abstract: To explore the effect of surface integrity on fatigue life,the high-speed milling experiment was conducted with die steel SKD61.The surface integrity and fatigue experiment were carried out on the test prototype.The prediction model of fatigue life was built according to the surface integrity quantitative indicators.The research showed that surface residual compressive stress could extend the fatigue life of parts significantly.In a certain extent,the fatigue life of parts would vary rapidly with the change of surface roughness and surface hardness.The fatigue life could be predicted by the prediction model according to the BP neural network,and the errors of predicted and tested data range were 2.3% to 15.8%.

Key words: manufacturing technique and equipment, high-speed milling, surface integrity, fatigue life, artificial neural network