Research on Wear and Life Prediction of Hobbing Cutter in Cryogenic Cutting with MQL

摘要：

　　An ANN BP model is built to imitate the relative between output,the wear of hobbing cutter,and input,such as rotary speed of cutter,air flow,air jet speed,air temperature,situation of hobbing cutter and hardness of work piece.A program is compiled to extrapolate the total life of hobbing cutter based on the BP model.The conclusion can be obtained by the program about the total life of hobbing cutter in cryogenic cutting with MQL,as follow.When parameters vary in the given zone,air jet speed has the largest effect on the total life of hobbing cutter by 23.8%,and follows the air flow by 13.5%,and last is the air temperature by 4.4%.

关键词： Gear hobbing Near dry machining wear Cryogenic cutting Artificial neural network Prediction model

作者: Xiaohong Zhang Chong Xia Peng Chen Guofu Yin

作者单位: School of Mechanical Engineering and Automation, Xihua University, Chengdu, Sichuan 610039, P.R.Chin School of Manufacturing Science and Engineering, Sichuan University, Chengdu, Sichuan 610015, P.R.Ch

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Advanced Materials and Engineering Technology (2012年先进材料与工程技术国际会议(FAMET 2012))

会议地点: 厦门

会议语种:英文

页码: 842-848

在线出版日期: 2012-01-04（万方平台首次上网日期，不代表论文的发表时间）