整体叶盘盘铣开槽加工刀具寿命预测  

Tool Life Prediction in Disc Milling Grooving of Blisk

作　　者：辛红敏[1,2] 吴华伟 XIN Hongmin;WU Huawei(The Key Laboratory of Contemporary Design&Integrated Manufacturing Technology,Ministry of Education,Northwestern Polytechnical University,Xi′an 710072,China;Hubei Key Laboratory of Power System Design&Test for Electrical Vehicle,Hubei University of Arts&Science,Xiangyang 441053,China)

机构地区：[1]西北工业大学现代设计与集成制造技术教育部重点实验室,陕西西安710072 [2]湖北文理学院纯电动汽车动力系统设计与测试湖北省重点实验室,湖北襄阳441053

出　　处：《河南科技大学学报（自然科学版）》2020年第2期16-20,M0003,共6页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家科技重大专项基金项目(2013ZX04001081);中国博士后科学基金项目(2018M631195);湖北省技术创新专项重大基金项目(2017AAA133)

摘　　要：针对目前预测刀具寿命的方法存在精度不高、受试验数据限制等缺点,提出了用灰色系统理论预测刀具寿命。首先,设计整体叶盘盘铣开槽加工试验,采用表面质量测量仪测量盘铣刀后刀面磨损增长量,根据试验测量的后刀面磨损增长量绘制刀具寿命曲线。然后,选取刀具寿命曲线正常磨损阶段的有限组数据组成时间序列,采用灰色系统理论,建立关于刀具寿命的预测模型。预测结果表明:以灰色系统理论建立的盘铣刀寿命预测模型,预测值与试验值的相对残差均在5.0%以内,模型精度为98.26%,满足工程需要,可用于盘铣开槽加工过程中刀具寿命的预测。In order to solve the problems of the tool life prediction method,such as low prediction accuracy and limited experimental data,the prediction method was put forward based on grey system theory.Firstly the disc milling grooving experiment of blisk was designed,and surface quality measurement instrument was used to measure the flank wear growth of disc cutter.The tool life curve was plotted according to the flank wear growth.Secondly,some original data during normal wear stage of tool life curve were selected,which were made up the time series.The prediction model of tool life was set up based on grey system theory,and the research on disc cutter life prediction was conducted.The prediction results show that the relative residuals between predicted value and experimental value is less than 5.0%,and the model precision is 98.26%,which meets the engineering requirement and can be used to predict the tool life in process of disc milling grooving.

关 键 词：整体叶盘 灰色系统理论 刀具寿命 

分 类 号：V23[航空宇航科学与技术—航空宇航推进理论与工程] V26