This paper introduces a new technique for monitoring multiple tooth rotating tools. The technique is based on laser diffraction. A narrow slit is constructed between the cutting edge of a cutter and a sharp straight blade placed parallel to the cutting edge as a reference. A laser beam is projected onto the slit and consequently a diffraction pattern consisting of a number of fringes is created behind the slit. By comparing the fringe spacing variation, cutting edge wear can be obtained. This technique has high resolution and a wide range of measurement. In addition, the measurement can be correlated to the commonly used flank wear measure (VB). The technique can be used for rotating tools such as milling and drilling. Experimental results in end-milling processes show that the technique is repeatable and accurate. With its fast speed, high resolution and reliability, it is expected that the technique has great potential for industrial applications.

1.
Dan
L.
, and
Mathew
J.
,
1990
, “
Tool Wear and Failure Monitoring Techniques for Turning—A Review
,”
Int. J. Mach. Tools Manufact.
, Vol.
30
, No.
4
, pp.
579
598
.
2.
Du, R., Zhang, B., Hungerford, W., and Pryor, T., 1993, “Tool Condition Monitoring and Compensation in Finish Turning Using Optical Sensor,” ASME Winter Annual Meeting, Symposium of Mechatronics. DSC-Vol. 50/PED-Vol. 63, pp. 245–253.
3.
Gee, A. E., Green, D., and Pain, D., 1988, “An In-Process Tool Proximity Sensor for Ultra-fine Machining,” Surface Topography, No. 1, pp. 385–393.
4.
Lee, Y. H., Bandyopadhyay, P., and Kaminski, B., 1986, “Cutting Tool Wear Measurement Using Computer Vision,” Sensor ’86, SME Technical Paper, MR 86–934.
5.
Lister, P. M., and Barrow, G., 1986, “Tool Condition Monitoring Systems,” Proceedings of the 27th Int. Machine Tool Design and Research Conf, pp. 271 –188.
6.
Pastorius, W. J., and Pryor, T. R., 1974, “Diffractographic Techniques for Vibration Measurement,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, May, pp. 553–556.
7.
Ulsoy
A. G.
, and
Koren
Y.
,
1993
, “
Control of Machining Processes
,”
ASME Journal of Dynamic Systems, Measurement, and Control
, Vol.
115
, No.
2
(B), pp.
301
308
.
8.
Yamashina
H.
,
Okumura
S.
, and
Kumamoto
H.
,
1990
, “
Automatic Detection of Wear and Chipping of Cutting Tools by Image Processing Techniques
,”
Int. J. of Production Research
, Vol.
28
, No.
4
, pp.
647
660
.
9.
Young, M., 1992, Optics and Lasers, 4th ed., Springer-Verlag, Berlin Heidelberg.
This content is only available via PDF.
You do not currently have access to this content.