The relationship between acoustic emission signals and cutting phenomena in turning process (original) (raw)

Tool flank wear analysis by acoustic emission (AE) method in turning operation

IMSEC 2016, 2016

In this work, investigation of cutting tool wear with respect to acoustic emission (machining noise, AE) has been studied. SAE 1030 forced steel material has been used for this purpose. Firstly, suitable cutting parameters (cutting speed, feed) have been determined experimentally. These experiments have been performed for 2.5 mm chip depth in a CNC type turning machine by using 130, 140, 150 meter/minute cutting speed and 0.15, 0.20, 0.30 mm/revolution feed. After the evaluation of the experimental results, cutting speed and feed is determined as 140 m/min and 0.20 mm/rev respectively. The AE level of the tool wear for each minute of the machining time between 5 and 20 minutes has been analyzed by using the decided cutting parameters. Two types of cutting tools have been used in the analyses. Finally, the relationship between the tool wear and AE is strong and the tool wear can be monitored by using the AE signals

Tool Condition Monitoring using Acoustic Emission and Vibration Signature in Turning

2012

The various sensors used to monitor tool condition usually sense the cutting tool state in terms of electric/magnetic/optical signal by responding to the change of process dynamics during machining. The redistribution of energy that is released from the localized sources, i.e. stress and strain developed in machining, generates the transient elastic wave inside the workmaterial and cutting tool known as, the acoustic emission (AE). The changes in cutting condition produce vibration in the system and thus affect the cutting tool state. Therefore, investigating the tool condition using the acoustic emission and vibration signature would be an effective approach. In this study, an acoustic emission sensor and a tri- axial accelerometer have been placed on the shank of the cutting tool holder to monitor the cutting tool condition in machining. The acoustic emission sensor assesses the internal change whereas the vibration sensor demonstrates the external effect on tool state. The RMS si...

TOOL CONDITION MONITORING IN HARD TURNING BY USING ACOUSTIC EMISSION‐A REVIEW

In this Study, the state of research in hard turning and its monitoring is presented, under three broad headings, namely The science and technology of hard turning, The various monitoring techniques that were developed for the process monitoring of hard turning and lastly, acoustic emission technique and signal processing employed to monitor the conventional turning operations, as it is intended to use these techniques for monitoring hard turning. Material used for present study for hard turning is Inconel alloy and it is suggested for future machining processes. Index Terms: Tool wear, Tool Geometry, Data Acquisition, Acoustic emission, Tool Condition Monitoring.