Prediction of Tool Wear and Tool Life with Condition Monitoring System on End Milling of EN31
نویسندگان
چکیده
This paper describes the tool life prediction model with end milling EN31 tool steel using P30 Tungsten uncoated carbide tool. The data set from the Taguchi method design is taken. For discussion the effects of cutting speed, feed rate and depth of cut on tool life of P30 are considered. This paper suggests a novel technique for the tool wear measurement based on machine vision. Tool images are captured with cutting operations using a machine vision system for the analysis. The proposed scheme is shown to be effective for the tool wear prediction. KeywordsEnd milling, Machine vision system , Process parameters, Taguchi Method, Tool wear classification and Tool wear measurement —————————— ——————————
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