Expert Network for Die Casing Defect Analysis

查看全文 作　　者：Jiadi WANG, Yongfeng JIANG, Chen LU and Wenjiang DINGNational Engineering Research Center for Light Alloy Net Shaping, Shanghai Jiao Tong University, Shanghai, 200030, China

出　　处：《Journal of Materials Science & Technology》索引2003年第19卷第4期,共4页

摘　　要：Due to the competition and high cost associated with die casting defects, it is urgent to adopt a rapid and effective method for defect analysis. In this research, a novel expert network approach was proposed to avoid some disadvantages of rulebased expert system. The main objective of the system is to assist die casting engineer in identifying defect, determining the probable causes of defect and proposing remedies to eliminate the defect. 14 common die casting defects could be identified quickly by expert system on the basis of their characteristics. BP neural network in combination with expert system was applied to map the complex relationship between causes and defects, and further explained the cause determination process.Cause determination gives due consideration to practical process conditions. Finally, corrective measures were recommended to eliminate the defect and implemented in the sequence of difficulty. 关键词：神经网络专家系统拉模铸造铸件缺陷分析

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Expert Network for Die Casing Defect Analysis

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