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Intelligent Tool Failure Monitoring for Machining Processes
作者姓名:万军  赵凡  伍星浩  蔡复之
作者单位:Department of Precision Instruments and Mechanology.Tsinghua University,Beijing 100084
摘    要:IntelligentToolFailureMonitoringforMachiningProcesses¥WanJun,ZhaoFan,WuXieqhao,CatFuzhi万军,赵凡,伍星浩,蔡复之(DepartmentofPrecisionIns...


Intelligent Tool Failure Monitoring for Machining Processes
Wan Jun,Zhao Fan,Wu Xieqhao,Cat Fuzhi.Intelligent Tool Failure Monitoring for Machining Processes[J].Tsinghua Science and Technology,1996(2).
Authors:Wan Jun  Zhao Fan  Wu Xieqhao  Cat Fuzhi
Abstract:An improv6d strategy is Presented for intelligent tool weer monltoring under varying cutting conditions.The proposed strategy uses wear feature extraction based on process modelling and parameter estimation. Theadaptive model traces the properties of cutting processes by combining process state signals,cutting conditions, aforce model and the least squares method. The tool wear feature is obtained the estimated parameters of themodel. Experimental results show that changes of the peraoders in the cutting force model reliably indicate toolwear independent of variation of the cutting conditions.
Keywords:intelligent monitoring  tool wear  feature extraction  process model  parameter estimation
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