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基于高斯过程回归方法的钛合金铣削刀具磨损预测 被引量:11

A novel method for tool wear prediction in titanium milling by Gaussian process regression method
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摘要 通过钛合金材料切削试验,对铣削加工中切削参数对高进给铣刀刀齿后刀面最大磨损量的影响规律进行分析。采用高斯过程回归法建立了刀齿后刀面最大磨损宽度的预测模型,并进行试验验证。预测结果与试验结果吻合程度较高,验证了预测模型的有效性,为钛合金铣削刀具的磨损预测提供了理论方法和试验依据。 Through the titanium alloy material cutting tests,analyzing the influence of cutting parameters on the maximum wear of the flank face of high feed milling cutters during milling.The wear model of milling cutter was obtained by using the method of Gaussian process regression,it is verified by cutting test that the prediction results are consistent with the experimental results,the research results show that the milling cutter wear prediction model is correct and effective.This research provided theoretical method and experimental basis for tool wear prediction in titanium milling.
作者 曹翔 赵培轶 王鹏程 秦枭品 高鑫 CAO Xiang;ZHAO Peiyi;WANG Pengcheng;QIN Xiaopin;GAO Xin(Chengdu Aircraft Industrial (Group) Co.,Ltd.,Chengdu 610092,CHN;School of Mechanical and Power Engineering,Harbin University of Science and Technology,Harbin 150080,CHN)
出处 《制造技术与机床》 北大核心 2019年第6期55-59,共5页 Manufacturing Technology & Machine Tool
基金 国家科技重大专项项目:国产五轴联动数控机床柔性生产线及生产单元飞机结构件应用示范基地(2015ZX04001002)
关键词 钛合金 铣削 刀具磨损 高斯过程回归 磨损模型 titanium alloy milling tool wear Gaussian process regression wear model
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