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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bokhabrine, Youssef Seulin, Ralph Lew Yan Voon, Lew F. C. Gorria, Patrick Girardin, Goueu Gomez, Miguel Jobard, Daniel |
| Copyright Year | 2010 |
| Abstract | During industrial forging of hot metallic shells, it is necessary to regularly measure the dimensions of the parts, especially the inner and outer diameters and the thickness of the walls. A forging sequence lasts 2 h or more during which the diameter of the shell is regularly measured in order to decide when to stop the forging process. For better working conditions, for the safety of the blacksmiths, and for a faster and more accurate measurement, we have developed a novel system based on two commercially available time of flight laser scanners for the measurement of the diameters of hot cylindrical metallic shells during the forging process. The advantages of using laser scanners are that they can be placed very far from the hot shell, more than 15 m, while at the same time giving an accurate point cloud from which three-dimensional views of the shell can be reconstructed and diameter measurements done. Moreover, more accurate measurement is achieved in less time with the laser system than with the conventional method using a large ruler. The system has been successfully used to measure the diameters of hot cylindrical metallic shells. |
| Starting Page | 417 |
| Ending Page | 425 |
| Page Count | 9 |
| File Format | |
| ISSN | 09328092 |
| Journal | Machine Vision and Applications |
| Volume Number | 23 |
| Issue Number | 3 |
| e-ISSN | 14321769 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-11-30 |
| Publisher Place | Berlin/Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | 3D Laser-based measurement systems Shell diameter measurement Dimensional measurement of hot surfaces Image Processing and Computer Vision Communications Engineering, Networks Pattern Recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture |
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