PREDICTION OF TOOL WEAR DURING TURNING OF EN9 WORK MATERIAL AGAINST COATED CARBIDE INSERT USING VIBRATION SIGNAL PROCESSING

Abstract

In this era of high technology maintenance management systems, condition based maintenance (CBM) is extensively acknowledged. It seeks optimum utilization of the system without altering the quality. The state of a single point cutting tool, w.r.t wear if unobserved while functioning, may affect quality adversely. Condition monitoring helps to establish trend. It can be used to define the tool life in terms of the measured parameter like force, pressure, voltage, vibration etc. Condition monitoring plays a vital role in monitoring the condition of critical parts. In this research work, turning operation is selected with the various work material and tool combination while machining En-9 steels with coated carbide insert as the cutting tool. More precisely, it is the flank wear in the cutting tool, which is concentrated upon in this research work as it is one of the most significant parameter in analyzing the effects of condition monitoring. The research work exhibits important information such as the relationship between tool wear and tool vibration acceleration, time and tool wear and number of cuts and tool wear. The outcome of the research work also delivers with the trend generation that helps monitoring the condition of the cutting tool and also in the prediction of the tool life.