Monitoring Rotating Tools Using Laser Diffraction

Author:

Fan Y.1,Du R.1

Affiliation:

1. Department of Industrial Engineering, University of Windsor, Windsor, Ontario, N9B 3P4 Canada

Abstract

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.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference9 articles.

1. Dan L. , and MathewJ., 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.

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