Double-CCD Stereoscopic Vision System Monitoring Chip Shape |
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| Journal | Key Engineering Materials (Volumes 315 - 316) |
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| Volume | Advances in Machining & Manufacturing Technology VIII |
| Edited by | Zhejun Yuan, Xipeng Xu, Dunwen Zuo, Julong Yuan and Yingxue Yao |
| Pages | 66-70 |
| DOI | 10.4028/www.scientific.net/KEM.315-316.66 |
| Citation | H.H. Xu et al., 2006, Key Engineering Materials, 315-316, 66 |
| Online since | July, 2006 |
| Authors | H.H. Xu, Xiang Feng Li, Dun Wen Zuo, Min Wang |
| Keywords | Chip Shape, Image Matching, Machining Process Monitoring, Stereoscopic Vision |
| 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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