Double-CCD Stereoscopic Vision System Monitoring Chip Shape

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Abstract:

With the continuous development and popularity of optical sensor and computer vision, machining process monitoring based on CCD camera has attracted more and more attention in recent years. Aiming at detecting the shape of cutting chip forming in cylindrical turning, a special matching algorithm is presented in this paper. As a reliable measuring method of chip shape parameter doesn’t exist, this algorithm can hardly be verified in a precise manner, however comparison between experimental results and the original images shows that this matching algorithm is effective. A double-CCD stereoscopic vision monitoring system employing this algorithm can be used to estimate the wearing and breakage of tool, and provide significant instruction for the design of tool groove for its capability of in-process measuring chip shape.

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Key Engineering Materials (Volumes 315-316)

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66-70

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July 2006

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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[1] D.W. Cho, S.J. Lee and C.N. Chu: International Journal of Machine Tools &Manufacture, Vol. 39 (1999), pp.1697-1715.

Google Scholar

[2] S.M. Ji, X. Zhang, L. Zhang, Y.H. Wan, J.L. Yuan and L.B. Zhang: Journal of Zhejiang University of Technology, Vol. 30 (2002), pp.143-148.

Google Scholar

[3] A.K. Chowdhury and R. Chellappa: Computer Vision and Image Understanding, Vol. 91 (2003) pp.188-213.

Google Scholar

[4] F. Dornaika and R. Chung: Pattern Recognition, Vol. 35 (2002), p.2003-(2012).

Google Scholar

[5] D.H. Ballard and C.M. Brown: Computer Vision (Englewood Cliffs, New Jersey 1982).

Google Scholar

[6] V. Paul and C. Hough: Methods and Means to Recognize Complex Patterns, U.S. Patent 3069654, (1962).

Google Scholar

[7] T. Ridler and S. Calvard: IEEE Transactions on Systems, Man and Cybernetics, Vol. 8 (1978), pp.630-632.

Google Scholar

[8] H.Q. Wang: Journal of Wuxi University of Light Industry, Vol. 20 (2001), pp.315-318.

Google Scholar

[9] D.H. Cao, B.B. Liu and Y.B. Wu: Opto-Electronic Engineering, Vol. 31 (2004), pp.59-61.

Google Scholar

[10] S.H. Yan and H.B. Lu: Opto-electronic Engineering, Vol. 25 (1998).

Google Scholar