Tool life monitoring using coefficient of integrated Kurtosis-based algorithm for Z-filter (I-kaz) technique

This paper presents a new statistical-based method of tool life monitoring for turning process, called Integrated Kurtosis-based Algorithm for Z-filter Technique, I-kaz, which was based on statistical analysis. The I-kaz method calculates the related coefficient for the measured machining signals. The input data of the I-kaz was acoustic signal that was generated during machining process, which was in the ultrasonic frequency range. Ultrasonic signal was measured as a tool of sensing element to study the flank wear on the cutting tool edge. The flank wear progression was monitored by the value of the I-kaz coefficient for a test sample. The resulting trend of I-kaz coefficient on the flank wear rate was effective that could help to predict tool life.