Simulation of Cathode Modification for Electrochemical Machining of Blade Based on Neural Network

doi:10.3969/j.issn.1000-565X.2010.02.012

Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (2): 60-66.doi: 10.3969/j.issn.1000-565X.2010.02.012

• Mechanical Engineering • Previous Articles Next Articles

Simulation of Cathode Modification for Electrochemical Machining of Blade Based on Neural Network

Zhu Dong Zhu Di Xu Zheng-yang

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

Received:2009-03-26 Revised:2009-04-29 Online:2010-02-25 Published:2010-02-25
Contact: 朱栋（1982-），男，博士生，主要从事电解加工研究． E-mail:zhudong@nuaa．edu．cn
About author:朱栋（1982-），男，博士生，主要从事电解加工研究．
Supported by:
国家“863”计划重点项目（2009AA044206）

Abstract

Abstract:

The accurate design and modification of cathode is one of the key problems in electrochemical machining （ECM）. In this paper, a digital cathode modification model is established based on the improved BP neural network, which substitutes a digital modification, changes the conventional manual correction method and remarkably increases the efficiency of the cathode modification process. In this study, the correction value of the cathode surface is predicted according to the data of multiple cathode modifications. The results show that the proposed model is effective in cathode modification, with a maximum absolute error between the predicted correction value and the actual one of only about 0. 015 mm, and that it can be widely used to the digital cathode modification of complex surfaces such as aeroengine blade, with greatly-reduced modification time and modification period as well as an improved electrochemical machining accuracy.

Key words: electrochemical machining, blade, neural network, cathode design, cathode modification

Zhu Dong Zhu Di Xu Zheng-yang . Simulation of Cathode Modification for Electrochemical Machining of Blade Based on Neural Network[J]. Journal of South China University of Technology (Natural Science Edition), 2010, 38(2): 60-66.

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Simulation of Cathode Modification for Electrochemical Machining of Blade Based on Neural Network

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