The Application of I-kazTM-based Method for Tool Wear Monitoring Using Cutting Force Signal

Tool wear monitoring is important in machining industries for controlling the quality of machined parts that helps to improve the productivity. To date, many monitoring system methods are developed by utilizing various signals, and cutting force is one of the signals in machining process that has been widely used for tool wear monitoring. This paper presents the application of I-kaz based method to analyze the cutting force signal for monitoring the status of tool wear in turning process. Experiments were carried out by turning hardened carbon steel, and cutting force signals were measured by two channels of strain gauges that were mounted on the surface of tool holder. In this study, I-kaz 2D is one of the derivatives of I-kazTM method that has been utlized to integrate two components of cutting force signals. It differs from the I-kaz method, whereby the signal does not need to be decomposed to three different frequency ranges. The analysis of results using I-kaz 2D and I-kazTM methods, revealed that both methods can be used to determine tool wear progression during turning process and feed force is very significant due to flank wear.