Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Machine Vision Inspection System of Micro-Drilling Processes On the Machine Tool

공작기계 상에서 마이크로드릴 공정의 머신비전 검사시스템

  • 윤혁상 (한양대학교 대학원 기계설계학과) ;
  • 정성종 (한양대학교 기계공학부)
  • Published : 2004.06.01
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Abstract

In order to inspect burr geometry and hole quality in micro-drilling processes, a cost-effective method using an image processing and shape from focus (SFF) methods on the machine tool is proposed. A CCD camera with a zoom lens and a novel illumination unit is used in this paper. Since the on-machine vision unit is incorporated with the CNC function of the machine tool, direct measurement and condition monitoring of micro-drilling processes are conducted between drilling processes on the machine tool. Stainless steel and hardened tool steel are used as specimens, as well as twist drills made of carbide are used in experiments. Validity of the developed system is confirmed through experiments.

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References

  1. Iwata, K. and T. Moriwaki, 1981, 'Basic Study of High Speed Micro Deep Drilling,' CIRP Annals, Vol. 30, pp. 27-30 https://doi.org/10.1016/S0007-8506(07)60889-0
  2. Stein, J. and D. Dornfeld, 1997, 'Burr Formation in Drilling Miniature Holes,' CIRP Annals, Vol. 46, pp. 63-66 https://doi.org/10.1016/S0007-8506(07)60776-8
  3. Ziou, D. and S. Tabbone, 1998, 'Edge Detection Techniques-An Overview,' International Journal of Pattern Recognition and Image Analysis, Vol. 8, pp. 537-559
  4. Nayar, S. K. and Y. Nakagawa, (1994), 'Shape from Focus,' Pattern Analysis and Machine Intelligence, IEEE Transactions, Vol. 16, No. 8, pp. 824-831 https://doi.org/10.1109/34.308479
  5. Pfeifer, T. and L. Wiegers, 2000, 'Reliable Tool Wear Monitoring by Optimized Image and Illumination Control in Machine Vision,' Measurement, Vol. 28, Issue 3, pp. 209-218 https://doi.org/10.1016/S0263-2241(00)00014-2
  6. Furness, R.J, C. L. Wu, and A. G, Ulsoy, 1996, 'Statistical Analysis of the Effects of Feed, Speed and Wear on Hole Quality in Drilling,' Journal of Manufacturing Science and Engineering, Vol. 118, pp. 367-375 https://doi.org/10.1115/1.2831038
  7. Rafale C. Gonzalez, Richard E.Woods, 2002, Digital Image Processing second Edition, Prentice-Hall, Inc., Upper saddle River, New Jersey
  8. Jain, R., R. Kasturi, B. G. Schunck, 1995, MACHINE VISION, Co-published by the MIT Press and McGraw-Hill, Inc., New York
  9. Shapiro, L. G. and G. C. Stockman, 2001, COMPUTER VISION, Prentice-Hall, Inc., Upper saddle River, New Jersey
  10. Krotkov. E, 1987, 'Focusing,' International Journal of Computer vision, Vol. 1, pp. 223-237 https://doi.org/10.1007/BF00127822
  11. Braggins, D., 2000, 'Illumination for Machine Vision,' Sensor Review, Vol. 20, No. 1, pp. 20-23 https://doi.org/10.1108/02602280010311356

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  1. A Study on the Elliptical Gear Inspection System Using Machine Vision vol.38, pp.1, 2014, https://doi.org/10.3795/KSME-A.2014.38.1.059