Abstract
The performance and reliability of cutting tools depend on a number of variables such as cutting conditions, tool material, tool geometry, and the properties of the workpiece material. Acoustic emission analysis is a method that may be used to examine the in process progressive wear of cutting tools. This paper presents results of a study of wear processes associated with hand hacksaw blades using acoustic emission analysis. A direct relationship between the mean acoustic signal and the rate of wear has been established for hand hacksaw blades used for metal cutting. This is supplemented by results obtained from SEM and EDAX, which reveal wear in the cutting teeth. Acoustic emission analysis is an attractive technique that can be used to monitor wear processes online and non-obstructively, making it extremely useful for performance and life prediction of hand hacksaw blades. The method may also be applied to other single and multipoint cutting tools.
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