Neural Network Based Force Modeling for Haptic Virtual Machining Simulation

被引:0
|
作者
He, Xuejian [1 ]
Chen, Yonghua [1 ]
Ye, Ruihua [1 ]
机构
[1] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
来源
2009 IEEE INTERNATIONAL CONFERENCE ON VIRTUAL ENVIRONMENTS, HUMAN-COMPUTER INTERFACES AND MEASUREMENT SYSTEMS | 2009年
关键词
neural network; haptic rendering; virtual machining;
D O I
10.1109/VECIMS.2009.5068889
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a novel haptic rendering method based on artificial neural network is proposed for turning simulation. In the proposed method, a two-layer neural network structure with three inputs and one output is used to model the cutting force. Levenberg-Marquardt algorithm is exploited as a learning strategy for training the neural network based on experimental machining data. Using the trained neural network, the relationship between simulated cutting force and cutting conditions can be obtained. Based on this method, a haptic virtual machining operation system is implemented and presented in this paper.
引用
收藏
页码:179 / 184
页数:6
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