Tool Wear Detection Using Time Series Analysis of Acoustic Emission,”

Introduction Tool wear in a machining 'operation is highly undesirable because it severely degrades the quality of machined surfaces and causes undesirable and unpredictable changes in work geometry. From a process automation point of view, it is therefore necessary that an intelligent sensing system be devised to detect the progress of tool wear during cutting operations so that worn tools can be identified and replaced in time. A fair amount of research has been devoted to the detection of tool wear. Techniques reported include the use of optical, electric, mechanical, audible acoustic, pneumatic, inductive, or capacitive transducers During a cutting operation, acoustic emission is primarily generated by the dislocation in the primary shear zone and the sliding friction in the secondary shear zon