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

화상처리를 이용한 유연성디스크 가공 평면구간 측정에 관한 연구

  • Received : 2010.08.04
  • Accepted : 2010.09.15
  • Published : 2010.10.15

Abstract

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.

Keywords

References

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