Monitoring of drill flank wear using fuzzy back propagation neural network
نویسنده
چکیده
The present work deals with developing a fuzzy back propagation neural network scheme for prediction of drill wear. Drill wear is an important issue in the manufacturing industries, which not only affects the surface roughness of the hole but also influences the drill life. Therefore, replacement of drill at an appropriate time is of significant importance. Flank wear in a drill which depends upon the input parameters like, speed, feed rate, drill diameter, thrust force, torque and chip thickness. Therefore sometimes it becomes difficult to have a quantitative measurement of all the parameters and a qualitative description becomes easier. For this kind of situations, a fuzzy
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