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《Engineering Plastics Application》 2014-04
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Detection of Cavity Abnormal Situation for Injection Mold Based on Machine Vision

Yang Ding;Yang Wei;Zhang Yun;Department of Mechanical Engineering , Sichuan Vocational and Technical College;College of Materials Science and Engineering, Huazhong University of Science and Technology;  
The procedures and key technologies including the methods for pretreatment of cavity image, templet matching of cavity image and cross-correlation of cavity abnormal situation for injection mold based on machine resion technology, and the cavity abnormal situation of an injection mold during working was detected. According to the experiment results,this detection method is of high accuracy and practical value. The reason for misjudgment of the cavity in which a little material leaves was analyzed, which lays the foundation for the further optimization of the detection method.
【Fund】: 广东省数控一代机械产品创新应用示范工程专项资金入库项目(20120119);; 四川省教育厅重点项目(12ZA283)
【CateGory Index】: TP391.41
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