Transactions of Materials and Heat Treatment

Title：Expert system of full-process forging process based on data driven

Authors： Gong Xinwei Yu Guolin Sun Yong Jiang Peng Liu Qingsheng Su Chang

Unit： Beijing Research Institute of Mechanical & Electrical Technology Hubei Tri-Ring Forging Co. Ltd.

KeyWords： die forging TOC theory SPC analysis knowledge acquisition support vector machines (SVM) expert system

ClassificationCode：TP182

year,vol(issue):pagenumber：2017,42(4):27-32

Abstract：

The situation of forging production line in China was expounded, and the general situation of research and application for statistical process control at home and abroad was introduced. Then, the difficulties in realizing statistical process control were pointed out under domestic forging environment. Therefore, the forging production process was analyzed by the constraint theory based on process unit, and the bottleneck link or key link were sought to be the key monitoring. Furthermore, the quality management tool (SPC) was applied to the forging production process to monitor the bottleneck link or key link in real time, and the stability of the whole production process was finally obtained by local optimization. In addition, the expert knowledge base was built according to the features of forging and the five major effect factors defined by the SPC analysis method, and the knowledge acquisition was realized by the machine learning algorithms of mainstream. According to the above researches, an expert system of the full-process die forging production process based on data driven was designed. The real-time monitoring, the stability analysis and the production process optimization of die forging production process were achieved.

Funds：

2014年智能制造装备发展专项（发改办高技［2014］1300号）

宫欣伟（1989-），女，硕士研究生，助理工程师 E-mail：gongxw007@gmail.com 通讯作者：孙勇（1971-），男，博士，研究员 E-mail：sun_yong_89@163.com

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