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Filtering by: Advisor Paasch, Robert K. Degree Field Mechanical Engineering Degree Name Doctor of Philosophy (Ph.D.)

Drilling process evaluation by predicting drilled hole quality and drill bit wear with on-line acoustic emission signals

Creator:

Wang, Kuang-Jen, 1962-

Abstract:

Improvement of manufacturing productivity is dependent on the successful automation of manufacturing processes, the success of which is based in turn upon the availability of information which describes the state of manufacturing operations. Acoustic Emission (AE) signals related to the cutting process and tool wear have been recently applied to...

Resource Type:

Dissertation