Abstract
A fuzzy logic based in-process tool-wear monitoring (FL-ITWM) system is developed and presented in this paper. The fuzzy membership function and rule bank were based on observations during cutting experiments using artificial tool-wear inserts in face milling operations. Maximum resultant force and cutting parameters (feedrate and depth of cut) were used as independent variables, and the system was verified using 25 test experimental runs. A t-test using an alpha value of 0.05 demonstrated that the system has greater than 90% accuracy when predicting tool-wear magnitude on-line.
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