Parts or products from high performance metal are very expensive, partly due to the processing complexities during manufacturing. Recent studies have indicated that hybrid processes of additive manufacturing and machining process can be used to repair titanium parts, thus extending the service life. In order to implement these methods automatically, it is necessary to obtain the spatial geometry information of component with defects to generate the tool path. The purpose of this paper is to summarize the research on hybrid manufacturing with stereo vision function which can be applied to the component repair process. Stereo vision is adopted to detect the location and the size of the defect area which is marked by color marker. And then laser displacement sensor is applied to scan the defect area. Therefore, automated alignment, reconstruction of the defect area and tool path planning could be implemented based on the spatial geometry information. Finally, a Ti64 part repair experiment is done to verify the method. This work provides an automatic method for repairing damaged parts by hybrid manufacturing.
R. Liu et al., "Stereo Vision Based Hybrid Manufacturing of Ti-6Al-4V in Component Repair Process," Proceedings of the 25th Annual International Solid Freeform Fabrication Symposium (2014, Austin, TX), pp. 1425 - 1431, University of Texas at Austin, Aug 2014.
25th Annual International Solid FreeForm Fabrication Symposium (2014: Aug. 4-6, Austin, TX)
Mechanical and Aerospace Engineering
Intelligent Systems Center
Article - Conference proceedings
06 Aug 2014
This research was supported by GNK Aerospace and National Science Foundation Grant IIP-1046492, Intelligent Systems Center and Material Research Center at Missouri University of Science and Technology. Their support is greatly appreciated.