Neural and machine learning to the surface defect investigation in sheet metal forming

Surface defects such as wrinkling and buckling are a serious quality problem in the sheet metal-forming industry. This paper presents using information processing techniques (artificial neural networks and machine learning approaches) to study the geometrical influence on the formation of wrinkling for automobile components.