人工神经网络在金属注射成形技术中的应用  

Application of artificial neural network to metal injection molding

作　　者：韩勇[1] 何新波[1] 曲选辉[1] 周瑜[2] 许均力[1] 

机构地区：[1]北京科技大学材料科学与工程学院,北京100083 [2]北京科技大学信息工程学院,北京100083

出　　处：《粉末冶金技术》2010年第1期66-72,共7页Powder Metallurgy Technology

基　　金：国家自然科学基金重点项目(50634010);国家"973"计划项目(2006CB605207);教育部长江学者和创新团队发展计划项目(I2P407)

摘　　要：概括介绍了金属注射成形技术的特点,叙述了人工神经网络在金属注射成形中应用的合理性;综述了人工神经网络在塑料注射成形和金属注射成形中应用的研究现状;展望了人工神经网络未来在金属注射成形智能化控制中的应用前景。In order to enhancing production efficiency and improving products quality, the metal injection molding （MIM） industry has been experiencing a process of intelligent control. Because of the similarity between metal injection molding and plastic injection molding （PIM） , some advanced technologies in PIM can be used for MIM. Artificial neural network （ANN） has been widely studied as a tool for the PIM intelligent control, and this technology has also been used in MIM more and more. The results show that ANN has a good effect in predicting products quality and choosing the optimal processing parameters.

关 键 词：金属注射成形 塑料注射成形 智能化控制 人工神经网络 

分 类 号：TF124.39[冶金工程—粉末冶金]