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Internal Defects Inspection of Die-cast Parts via the Comparison of X-ray CT Image and CAD Data  

Hong, Gyeong Taek (Skophvision)
Shim, Jae Hong (Dept. of Mechatronics Engineering, Korea Polytechnic University)
Publication Information
Journal of the Semiconductor & Display Technology / v.17, no.1, 2018 , pp. 27-34 More about this Journal
Abstract
Industrially, die-casting products are formed through casting, and so the methods to inspect the defects inside them are very restrictive. External inspection methods including visual inspection, sampling judgment, etc. enables researchers to inspect possible external defects, but x-ray inspection equipment has been generally used to inspect internal ones. Recently, they have been also applying three-dimensional internal inspections using CT equipment. However, they have their own limitations in applying to the use of industrial inspection due to limited detection size and long calculation time. To overcome the above problems, this paper has suggested a method to inspect internal defects by comparing the CAD data of the product to be inspected with the 3D data of the CT image. In this paper, we proposed a method for fast and accurate inspection in three dimensions by applying x-ray inspection to find internal defects in industrial parts such as aluminum die casting products. To show the effectiveness of the proposed method, a series of experiments have been carried out.
Keywords
CT; Inspection; Internal Defects; CAD; Die-casting Parts; Image Processing; Point Cloud;
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