Title :
Neural and machine learning to the surface defect investigation in sheet metal forming
Author :
Wu, Xiaodan ; Wang, Jianwen ; Flitman, Andrew ; Thomson, Peter
Author_Institution :
Sch. of Bus. Syst., Monash Univ., Clayton, Vic., Australia
Abstract :
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
Keywords :
automobile industry; buckling; forming processes; learning (artificial intelligence); mechanical engineering computing; metallurgical industries; neural nets; production engineering computing; surface phenomena; artificial neural networks; automobile components; buckling; geometrical influence; information processing techniques; machine learning; quality; sheet metal forming; surface defects; wrinkling; Artificial neural networks; Automobile manufacture; Data engineering; Inorganic materials; Machine learning; Manufacturing industries; Metals industry; Sheet materials; Solid modeling; Springs;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.844687
