Fuzzy cutting force modelling in micro-milling using subtractive clustering for learning evaluation
نویسندگان
چکیده
Cutting forces prediction is very important for cutting tool’s design and process planning. This paper presents a fuzzy cutting force modelling method using subtractive clustering for learning evaluation. In this method, subtractive clustering, combined with the least-square algorithm, identifies the fuzzy prediction model directly from the information obtained from the sensors. In the micro-milling experimental case study, two fuzzy models learned through different evaluation strategies are tested. The modelling results are compared and discussed.
منابع مشابه
Experimental and fuzzy modelling analysis on dynamic cutting force in micro milling
Prediction of cutting forces is very important for the design of cutting tools and for process planning. This paper presents a fuzzy modelling method of cutting forces based on subtractive clustering. The subtractive clustering combined with the least-square algorithm identifies the fuzzy prediction model directly from the information obtained from the sensors. In the micro-milling experimental...
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