Machining Accuracy Prediction of Aero-engine Blade in Electrochemical Machining Based on BP Neural Network

摘要：

In electrochemical machining (ECM) process, various machining parameters, such as applied voltage, current density, feed rate of tool cathode, electrolyte concentration and composition, machining gap, can result in the changes of machining accuracy of ECM process. Thus machining accuracy prediction is one of the most difficult problems in ECM. Utilizing an aero-engine blade as the research object, BP neural network is employed to predict the machining accuracy of the aero-engine blade in ECM. In prediction model, five main process parameters are involved. The prediction results demonstrate that the proposed BP neural network model is valuable and the prediction accuracy errors along the selected blade profiles can be less than 8％.

关键词： accuracy prediction electrochemical machining BP neural network aero-engine blade

作者: Zhiyong LI Hua JI

作者单位: Shandong University of Technology / Department of Mechanical Engineering, Zibo City, China Shandong University of Technology / Department of Electrical and Electronic Engineering, Zibo City,

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 244-247

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）