A new digital measurement method for accurate curve grinding process |
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Authors: | Yong-hong Zhang Li-hua Wang Chun-xiang Ma Qi Wu De-jin Hu |
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Affiliation: | (1) Department of Information and Communication, Nanjing University of Information Science and Technology, 210044 Nanjing, China;(2) School of Mechanical and Power Engineering, Shanghai Jiao Tong University, 200030 Shanghai, China |
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Abstract: | In this paper, an online measurement and error compensation system for curve grinding based on pattern recognition was presented
and verified by experiments. The measurement system organization and its principle of operation were introduced in detail.
The work piece and grinding wheel image were sampled at certain positions to avoid spark influence. In order to increase system
resolution, images were sampled only at local areas of the work piece and grinding wheel. A discrimination technology based
on a circular tolerance zone was proposed which can solve the problem of local image edge comparison. For image de-noising,
a local threshold algorithm was applied to determine new wavelet coefficients. Furthermore, a two-step edge detection method
was used to realize sub-pixel precision. Finally, a series of experiments were carried out to examine the detection precision
of the image measurement system and its influencing factors. From experiments, it can be said that the proposed method in
this paper is effective, and its detection precision is much better than traditional methods. |
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Keywords: | Curve grinding Pattern recognition Circular tolerance zone Error compensation |
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