PDF全文下载：
201804014.pdf
文章编号： 16726987（2018）04009107； DOI： 10.16351/j.16726987.2018.04.014
王蕾， 李学辉
(青岛科技大学 机电工程学院，山东 青岛 266061)
摘要： 电解加工过程受电场、流场、电化学等因素的影响，阳极工件成形过程非常复杂，这使阳极型面形状误差的预测大都难以达到较高的精度。因此，以某发动机叶片叶身曲面为研究对象，分析了影响电解加工曲面成形过程的主要加工参数的作用机理，借助BP神经网络模型建立了包括阴极工具在内的主要加工条件与阳极型面采样点形状误差之间的映射关系，结合实验结果对网络模型进行训练。实验结果证明，该网络模型预测的相对误差在7%以内。
关键词： 电解加工； 成型过程； 阳极预测； 阴极工具
中图分类号： V 261.5；V 232.4文献标志码： A
引用格式： 王蕾， 李学辉. 复杂曲面电解加工条件与阳极形状误差的映射关系\[J\]. 青岛科技大学学报（自然科学版）， 2018， 39（4）： 9197.
WANG Lei, LI Xuehui. Relationship between machining parameters and anode shape errors in the electrochemical machining complicated surface\[J\]. Journal of Qingdao University of Science and Technology（Natural Science Edition), 2018, 39(4)： 9197.
Relationship Between Machining Parameters and Anode Shape Errors in the
Electrochemical Machining Complicated Surface
WANG Lei, LI Xuehui
(College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China)
Abstract: The electrochemical machining is affected by electric field, flow field, electrochemical and other factors, the forming process of the anode workpiece is very complex, which makes the anode prediction very difficult. In this paper, the curved surface of an engine blade is taken as the study object, and the mechanism of main processing parameters that affect the forming process is analyzed. Based on the BP neural network model, the relationship between the main processing conditions including the cathode tool and the shape error of the anode surface is established. Combining the experimental results, the network model is trained. The experimental results show that the relative error of prediction of the network model is within 7%, which is helpful to further cathode design.
Key words: electrochemical machining; shaping process; anode prediction; cathode tool
收稿日期： 20170527
基金项目： 国家自然科学基金青年项目（51305219）；山东省自然科学基金青年项目（ZR2013EEQ020）.
作者简介： 王蕾(1978—)，女，博士，副教授.
