文献类型：期刊文献

英文题名：Applying an artificial neural network to the control system for electrochemical gear-tooth profile modifications

作者：Yi Jianjun[1,2,3];Guan Yifeng[1];Ji Baiyang[2];Yu Bin[1];Dong Jinxiang[3]

机构：[1]E China Univ Sci & Technol, Dept Mech Engn, Shanghai 200237, Peoples R China;[2]HangZhou Sunyard Syst Engn Co Ltd, Hangzhou 310053, Zhejiang, Peoples R China;[3]Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Peoples R China

年份：2007

卷号：8

期号：4

起止页码：27

外文期刊名：INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000255336600005)】；

语种：英文

外文关键词：back-propagation technique; real-time control; electrochemical gear-tooth modifications; control system

摘要：Gears, crucial components in modern precision machinery for power transmission mechanisms, are required to have low contacting noise with high torque transmission, which makes the use of gear-tooth profile modifications and gear-tooth surface crowning extremely efficient and valuable. Due to the shortcomings of current techniques, such as manual rectification, mechanical modification, and numerically controlled rectification. we propose a novel electrochemical gear-tooth profile modification method based on an artificial neural network control technique. The fundamentals of electrochemical tooth-profile modifications based on real-time control and a mathematical model of the process are discussed in detail. Due to the complex and uncertain relationships among the machining parameters of electrochemical tooth-profile modification processes, we used an artificial neural network to determine the required processing electric current as the tooth-profile modification requirements were supplied The system was implemented and a practical example was used to demonstrate that this technology is feasible and has potential applications in the production of precision machinery.