engleski

Frequency Domain Analysis of Acoustic Emission Signals in Medical Drill Wear Monitoring

Medical drills are subject to wear process due to mechanical, thermal and, potentially, sterilisation influences. The influence of drill wear on friction contributes to the drilling temperature rise and occurrence of thermal osteonecrosis. During the cutting process drilling temperature cannot be adequately reduced by applying cooling fluid externally on the bone surface and a part of a tool which is not in the contact with the bone if higher wear rates occurs. Since it is not possible to directly establish or measure drill wear rate without interrupting the machining process, this important parameter should be estimated using available process signals. Therefore, the application of tool wear features extracted from acoustic emission signals in the frequency domain for the purpose of indirect medical drill wear monitoring process has been studied in detail and the results are presented in this paper.

Bone Drilling, Drill Wear, Acoustic Emission, Neural Networks, Data Mining

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