A Comparative Study of I-kaz Based Signal Analysis Techniques: Application to Detect Tool Wear during Turning Process

Detection of tool wear during in-progress machining process is a significant requirement to assure the quality of machined parts that helps to improve the productivity. The cutting force is one of the signals in machining process that has been widely used for tool wear monitoring. In the present paper three derived I-kaz (TM) based methods explained and compared for monitoring tool wear changes during turning process. The aim of this work is to study the performance of I-kaz (TM), I-kaz 2D and I-kaz Multilevel techniques to detect flank wear width using the cutting force signal. The 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. The analysis of results using I-kaz 2D, I-kaz (TM) and also I-kaz Multilevel methods, revealed that all methods can applied to determine tool wear progression during turning process and feed force signal change is very significant due to flank wear.