Real-time tool condition monitoring using wavelet transforms and fuzzy techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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During the era of the rapid automation of the manufacturing processes, the automation of the metal cutting and drilling process, which is one of the most crucial stages in the industrial process, has become inevitable. The most important difficulty in the automation of machining process is time and production loss that occurs as a result of tool wear and tool breakage. In this study, a fuzzy logic based decision mechanism was developed to determine tool wear condition by using cutting forces. The statistical parameters of the cutting forces collected during the drilling operation have been determined as variables for the membership functions of the fuzzy logic decision mechanism. The system developed in this study, successfully determined the tool wear condition in drilling processes.