Neural image processing of the wear of cutting tools coated with thin films
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Small milling cutters are susceptible to very small changes in geometry on the surface of the cutting edge that are substantial when machining at the microscale. The purpose of this paper is to show how to design a neural image processing program to accurately determine the amount of wear accumulated on small milling cutters after successive machining operations. After determining the amount of wear on a small milling cutter, the program creates the appropriate amount of compensation to be used for a computer numerical control (CNC) machining program that will account for in-process tool wear.
Keywordsmachining milling tools neural networks surfaces tool coatings
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- 6.J.H. Ahn, H.S. Lim, S. Takata, and T. Sata, Machining Process/Tool Wear Monitoring System Based on Real-Time Sound Recognition, Seimitsu Kogaku Kaishi/J. Jpn. Soc. Precision Eng., 1994, 60(8), p 1144–1148Google Scholar
- 7.C.R. Heiple, S.H. Carpenter, D.L. Armentrout, and A.P. McManigle, Acoustic Emission from Single Point Machining Source Mechanisms and Signal Changes with Tool Wear, Mater. Eval., 1994, 52(5), p 590–596Google Scholar
- 8.H. Takeshita and I. Inasaki, Monitoring of Milling Processes with an Acoustic Emission Sensor, Seimitsu Kogaku Kaishi/J. Jpn. Soc. Precision Eng., 1993, 59(2), p 269–274Google Scholar