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Expert network for Die Casing Defect Analysis

Journal of Materials Science & Technology 2003年第4期19卷 320-323页

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 ctr. for light alloy net shaping Shanghai Jiaotong Univ. Shanghai 200030 China

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 rule-based 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： Neural network Expert system Die casting Defect analysis Back propagation

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Strain Softening and Hardening Behavior in AZ61 Magnesium alloy

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Journal of Materials Science & Technology 2004年第6期20卷 691-693页

作者： Haitao ZHOU, Liufa LIU, Qudong WANG, Da LU, Xiaoqin ZENG and Wenjiang DINGNational Engineering Research Center of light alloys net Forming, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, China ctr. of light alloys net Forming Sch. of Mat. Sci. and Eng. Shanghai Jiaotong Univ. Shanghai 200030 China

The deformation behavior of AZ61 Mg alloy during hot deformation has been investigated in wide temperature and strain rate range by a Gleeble simulator. Specimens are deformed in compression in the temperature range of 523-673 K and at strain rates of 0.001-1 s-1. It is found that the flow curves exhibit a peak and then decrease towards steady-state of classical DRX, which decrease with rising temperature and decreasing strain rate. The deformation behavior of the specimens can be attributed to the occurrence of strain hardening and softening. As stress decreases, the strain hardening rate declines at a fast rate when temperature rises or strain rate decreases. The shapes of θ-σ curves indicate some important features such as subgrain formation, the criticai stress, the peak stress and steady stress. The onset of DRX can be determined by the point of inflection on θ-σ or Inθ-σ curves.

关键词： AZ61 Mg alloy Recrystallization Strain hardening and softening

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