论文信息 - Fuzzy Logic Based In-Process Tool-Wear Monitoring System in Face Milling Operations

Fuzzy Logic Based In-Process Tool-Wear Monitoring System in Face Milling Operations

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.

Jacob Chen | J. C. Chen | V. Susanto | V. Susanto

[1] G. W. Snedecor. STATISTICAL METHODS , 1967 .

[2] Xiaoli Li,et al. Tool wear detection with fuzzy classification and wavelet fuzzy neural network , 1999 .

[3] Steven R Schmid Kalpakjian,et al. Manufacturing Engineering and Technology , 1991 .

[4] Zhijun Wang,et al. Feature-filtered fuzzy clustering for condition monitoring of tool wear , 1996, J. Intell. Manuf..

[5] Ian S. Shaw,et al. Fuzzy Control of Industrial Systems , 1998 .

[6] P.L.B. Oxley,et al. Predicting cutting forces in face milling , 1994 .

[7] Shih-Chieh Lin,et al. Force-based model for tool wear monitoring in face milling , 1995 .

[8] S. Li,et al. Tool Condition Monitoring in Machining by Fuzzy Neural Networks , 1996 .

[9] Ruxu Du,et al. In-process monitoring of tool wear in milling using cutting force signature , 1991 .

[10] Paul William Prickett,et al. An overview of approaches to end milling tool monitoring , 1999 .

[11] L. C. Lee,et al. On the correlation between dynamic cutting force and tool wear , 1989 .

[12] N. K. Mehta,et al. An investigation of tool wear and the vibration spectrum in milling , 1983 .

[13] Joseph C. Chen. Multi-dimensional Pokayoke-Stoplight Control system in unmanned manufacturing cells , 1996 .

[14] Sabbir Rangwala,et al. A study of acoustic emission generated during orthogonal metal cutting—1: Energy analysis , 1991 .