Date of Publication :20th October 2017
Abstract: Researchers have introduced a new technology for detecting the surface defects in the aluminium die casing which is a camera based vision system. The issue of surface defects in casting aluminium die is prevalent across the foundry industry and their identification is of utmost importance in maintaining the product quality. The casting surfaces are the regions of materials and components that are most loaded. The impact of corrosion and the loads which are introduced thermally and mechanically are mainly directed at the castings surface. Castings may develop surface discontinuities such as cracks or tears, inclusions due to chemical processes or foreign material in the molten metal, and pores that greatly influence the material's ability to withstand these loads, depending on the processing techniques and part design. Surface defects can serve as a concentrative stress inducing a point of fracture. In this area, if a pressure is applied, the casting can fracture. The human visual system is well suited for success in environments of variation and change; on the other hand, the visual analysis systems involve regular examination of the same picture type to spot abnormalities. It usually results in long, costly, inconsistent inspection. Computer-based visual inspection presents the human inspectors with a viable alternative. Machine vision system developed by authors uses an image processing algorithm based on updated edge detection method by Laplacian of Gaussian to identify defects in different sizes and shapes.
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