Tool Wear Condition Monitoring in Tapping Process by Fuzzy Logic

Ratchapon Masakasin and Chana Raksiri
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Ratchapon Masakasin: Kasetsart University, Thailand
Chana Raksiri: Kasetsart University, Thailand

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Abstract: The objective of this research is to study tool wear condition monitoring in tapping process on CNC machining center machine by using fuzzy logic, to determine the status of cutting tool and the suitable time of changing tool before the tool failure or damage on work piece. The input data that were used in fuzzy logic system obtained from three sensors signal include a spindle current, force and vibration sensor. Fuzzy C-mean clustering and neural network were used to guide in the development of membership function. The status of tool was identified by crisp output values from fuzzy logic system. The results showed fuzzy logic can be used to monitor the tool wear. The performance of fuzzy system based on the number of input data sets and validation of expert in fuzzy rules.

Keywords: tapping process; fuzzy logic; tool wear; fuzzy c-mean clustering; neural network (search for similar items in EconPapers)
Date: 2013
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