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Proceedings Paper

3D reconstruction of hot metallic surfaces for industrial part characterization
Author(s): Youssef Bokhabrine; Lew F. C. Lew Yan Voon; Ralph Seulin; Patrick Gorria; Miguel Gomez; Daniel Jobard
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Paper Abstract

During industrial forging of big 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, in order to decide when to stop the forging process. The inner and outer diameters of the shells range from 4 to 6 meters and to measure them a large ruler is placed horizontally at the end of the shell. Two blacksmiths standing on each side of the ruler at about ten meters from it visually reads the graduations on the ruler in order to determine the inner and outer diameters from which the thickness of the wall is determined. This operation is carried out several times during a forging process and it is very risky for the blacksmiths due to the high temperature of the shell when the measurement is done. Also, it is error prone and the result is rather inaccurate. In order to improve the working conditions, for the safety of the blacksmiths, and for a faster and more accurate measurement, a system based on two commercially available Time Of Flight (TOF) laser scanners for the measurement of cylindrical shell diameters during the forging process has been developed. The advantages of using laser scanners are that they can be placed very far from the hot shell, more than 15 meters, while at the same time giving an accurate point cloud from which 3D views of the shell can be reconstructed and diameter measurements done. Moreover, better dimensional measurement accuracy 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 diameter of cold and hot cylindrical metallic shells.

Paper Details

Date Published: 3 February 2009
PDF: 9 pages
Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 725107 (3 February 2009); doi: 10.1117/12.806015
Show Author Affiliations
Youssef Bokhabrine, Lab. LE2I, CNRS, Univ. de Bourgogne (France)
Lew F. C. Lew Yan Voon, Lab. LE2I, CNRS, Univ. de Bourgogne (France)
Ralph Seulin, Lab. LE2I, CNRS, Univ. de Bourgogne (France)
Patrick Gorria, Lab. LE2I, CNRS, Univ. de Bourgogne (France)
Miguel Gomez, AREVA SFAR Steel, Creusot Forge (France)
Daniel Jobard, AREVA SFAR Steel, Creusot Forge (France)


Published in SPIE Proceedings Vol. 7251:
Image Processing: Machine Vision Applications II
Kurt S. Niel; David Fofi, Editor(s)

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