A new digital measurement method for accurate curve grinding process

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 sam...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2008-03, Vol.36 (3-4), p.305-314
Main Authors: Zhang, Yong-hong, Wang, Li-hua, Ma, Chun-xiang, Wu, Qi, Hu, De-jin
Format: Article
Language:English
Subjects:
Algorithms
CAE) and Design
Computer-Aided Engineering (CAD
Edge detection
Engineering
Error analysis
Error compensation
Experiments
Grinding wheels
Image detection
Industrial and Production Engineering
Mechanical Engineering
Media Management
Original Article
Pattern recognition
Wavelet analysis
Workpieces
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Summary: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.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-006-0844-4