Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Currently, the remanufacturing process is performed manually. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and introduce increasing consistency in quality, but also attract industries to design for remanufacture. In current work an automotive engine (in as received condition) is 3D reconstructed virtually, using the Visual Structure for Motion (VSFM) technique. These initial experiments assess the feasibility of using Videogrammetry to acquire pre-disassembly 3D model of the engine. Multiple 2D images were acquired and processed to find matching common features. The location of the camera was calculated through the matching features, producing a three-dimensional digital representation of the captured volume. A sparse point cloud was initially created which and was then converted into a dense 3D point cloud. The 3D point cloud was converted into a meshed model. 2D images are stitched together to create a virtual model of the engine with surface texture and colour. Small features of a few couple of millimetres in size are clearly visible in the 3D model.
|Title of host publication
|International Conference on Remanufacturing
|Published - 26 Oct 2017