Abstract
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.
Similar content being viewed by others
References
S.C. Lin and C.J. Ting, Drill Wear Monitoring Using Neural Networks, Int. J. Machine Tools Manuf., 1996, 36(4), p 465–475
S. Das, A.B. Chattopadhyay, and A.S.R. Murty, Force Parameters for On-Line Tool Wear Estimation: A Neural Network Approach, Neural Netw., 1996, 9(9), p 1639–1645
S.C. Lin, Tool Wear Monitoring in Face Milling Using Force Signals, Wear, 1996, 198(1–2), p 136–142
T.J. Ko and D.W. Cho, Tool Wear Monitoring in Diamond Turning by Fuzzy Pattern Recognition, J. Eng. Ind., Trans. ASME, 1994, 116(2), p 225–232
M.E.R. Bonifacio and A.E. Diniz, Correlating Tool Wear, Tool Life, and Surface Roughness and Tool Vibration in Finish Turning with Coated Carbide, Wear, 1994, 173(1–2), p 137–144
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 1144–1148
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 590–596
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 269–274
A.E. Diniz, J.J. Liu, and D.A. Dornfield, Correlating Tool Life, Tool Wear and Surface Roughness by Monitoring Acoustic Emission in Finish Turning, Wear, 1992, 152, p 395–407
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Jackson, M.J., Robinson, G.M., Hyde, L.J. et al. Neural image processing of the wear of cutting tools coated with thin films. J. of Materi Eng and Perform 15, 223–229 (2006). https://doi.org/10.1361/105994906X95922
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1361/105994906X95922