ANALYSIS ON THE METHOD AND DEVELOPMENT OF THE MODEL FOR THE TOOL WEAR CONDITION MONITORING SYSTEM

The paper presents the acquisition and signal processing methods for separating significant features which are the topic of contemporary research in order to increase the efficiency of the tool monitoring system. The research and development of such system imposes a demand to find a fast and secure monitoring of the tool wear condition in the turning process. To fulfill the set demands for solving the set problem, a concrete tool monitoring system model is presented, following the requirements specified for the contemporary monitoring systems. The presented solution utilizes the vibration accelerating sensor set in the close range to the cutting zone, on the tool shank, which is then used to separate the features for the tool condition identification.