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. Theadapti...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.展开更多
文摘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.
