Crack Position Recognition of Metal Deep Drawing Parts Based on BP Neural Network
Crack position of metal drawing parts molding was analyzed by the BP neural network.First analysis of the drawing parts forming process may crack in different position.The BP neural network location identification was introduced in the basic process.11 characteristic parameters from the drawing parts may crack position were gathered by acoustic emission signal acquisition system of deep drawing process.Then the BP neural network was designed rational, and carried out appropriate conduct to train and test.Establishing deep drawing parts of the relations between the different positions crack acoustic emission characteristic parameters and the corresponding position.Crack location was identified, in order to achieve the purpose of positioning the work piece forming process.The better method of acoustic emission location issues are resolved, metal deep drawing forming of crack location identification for basis.Provide the basis for metal drawing parts forming crack location identification.
BP neural network the drawing parts acoustic emission signal location identification
XU JiYong ZHAO JunLi ZHAO Bing SHAO YingQing
Jinshan Vocational and Technical College, Yangzhong, Zhenjiang, Jiangsu,P.R China School of Mechanical Engineering, Jiangsu university, Zhenjiang, Jiangsu,P.R China
国际会议
湖北荆州
英文
108-113
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）