화상처리를 이용한 유연성디스크 가공 평면구간 측정에 관한 연구

A Study on the Estimation of the Flat Zone Length by using Image Processing

  • 투고 : 2010.08.04
  • 심사 : 2010.09.15
  • 발행 : 2010.10.15

초록

The goal of this study is to simplify the measurement process of the flat zone length produced by a flexible disk grinding system for the process automation. The image of workpiece in the grinding process is obtained, and the cutting speed and the feeding speed are controlled carefully to maximize the flat zone length. The gradient, the inflection point and the length of the line in the image are calculated, and the length is also measured by using a projector. Processing conditions and inversely proportional to flat zone length was changing. The flat zone length is estimated by Neural network algorithm considering the process conditions with the estimated error range as 0.06~3.61%, the Neural network algorithm for the grinding process estimation is found to be useful for building the process automation database.

키워드

참고문헌

  1. Yoo, S. M. and Kim, Y. J., 2000, "Flexible Disk Grinding Process," Journal of the Korea Society of Machine Tool Engineers, Vol. 9, No. 5, pp. 13-24.
  2. Kim, S. J., 2000, "A study on the Flexible Disk Grinding Process and Burr Analysis by using Neural Networks and Image processing," A Thesis for a Master, Kyunghee University, Republic of Korea.
  3. Lee, S. W., Choi, Y. J., Hoe, N, H., and Choi, H. Z., 2006, "The Optimum Grinding Condition Selection of Grinding System," Proceedings of the Korean Society for Precision Engineering Conference in Spring, pp. 563-564.
  4. Bae, J. H. and Yoo, S. M., 2000, "Analysis of Flexible Grinding Disk Deflection using Image Processing," Proceedings of the Korean Society of Machine Tool Engineers Conference in Fall, pp. 314-319.
  5. Yoo, S. M. and Kim, Y. J., 2000, "Modeling of flexible disk grinding process for automation of hand grinding," Journal of the Korean Institute of Industrial Engineers, Vol. 26, No. 4, pp. 376-383.
  6. Yoo, S. M., 2004, "A study on the linear motor feed flexible disk grinding system," Proceedings of the Korean Society of Machine Tool Engineers Conference in Spring, pp. 381-386.
  7. Lee, J. B., Ju, S. Y., and Wang, G. N., 1997, "Selection of Machining Parameter of Electric Discharge Wire Cut Using 2-step Neuro-estimation," The Journal of the Korean Institute of Industrial Engineers Vol. 10, No. 3, pp. 3125-3132.
  8. Yoo, S. M., 2007, "A Study on the Flat Surface Zone of the Flexible Disk Grinding System", Transactions of the Korean Society of Machine Tool Engineers, Vol. 16, No. 6, pp. 125-132.
  9. Yoo, S. M., 2008, "A Study on the Flexible Disk Grinding Process Parameter Prediction Using Neural Network", Transactions of the Korean Society of Machine Tool Engineers, Vol. 17, No. 5, pp. 123-130.
  10. Roh, D. H., Lee, H. G., Park, H. S., and Yoo, S. M., 2009, "A Study on the Measurement and Analysis of FDGS Flat Zone," Proceedings of the Korean Society of Machine Tool Engineers Conference in Spring, pp. 297-301.
  11. Kim, J. M., Choi, Y. W., and Chung, K. S., 2002, "MPEG Video Segmentation using Two-stage Neural Networks and Hierarchical Frame Search," The Journal of the Korea Information Science Society Vol. 27 No. 2, pp 114-125.