'The University of Texas at Austin, Bureau of Economic Geology'
Abstract
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.Mechanical Engineerin