Development of Tool Wear Machining Monitoring Using Novel Statistical Analysis Method, I-kaz™

The development of tool wear conditioning monitoring method is proposed by applying ceramic piezoelectric sensor mounted on the tool holder in turning machine to monitor vibration signals due to the flank wear progression. Signals captured by the sensor are statistically analysed using Integrated Kurtosis-based Algorithm for Z-notch filter (I-kaz™) technique. This technique produces a 3D graphic form that is quantified by coefficient of I-kaz (Z∞), representing the degree of scattering of data distribution. The result indicates that I-kaz 3D graphic is experiencing contractionary, while Z∞ values are getting smaller as the flank wear and cutting speed increases.