A Fourier Series-Neural Network Based Real-Time Compensation Approach for Geometric and Thermal Errors of CNC Milling Machines
Joint Authors
Wang, Wei
Fan, Kaiguo
Zhang, Yi
Yang, Jianguo
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In order to improve the accuracy and efficiency of the real-time error compensation, a Fourier Series-Neural Network (FS-NN) based compensation methodology is developed to reduce the thermally induced geometric errors of CNC milling machines under varying conditions.
Firstly, an error model is presented based on the principle of Fourier series with fast calculation and higher precision, which is regarded as the error base of original geometric errors.
Secondly, the relationships between the slopes related to different error curves and the temperatures of key thermal points are figured out by using neural networks when concerning thermal effects.
Then, a combined error model is established which is suitable for reducing axis positioning errors at any thermal status.
Finally, a real-time dynamic error compensation system is developed featuring automatic error modeling and multiaxis synchronous compensation.
The experimental results prove that the proposed methodology has satisfactory modeling accuracy and robustness to frequently changing working conditions.
American Psychological Association (APA)
Wang, Wei& Zhang, Yi& Fan, Kaiguo& Yang, Jianguo. 2013. A Fourier Series-Neural Network Based Real-Time Compensation Approach for Geometric and Thermal Errors of CNC Milling Machines. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-465558
Modern Language Association (MLA)
Wang, Wei…[et al.]. A Fourier Series-Neural Network Based Real-Time Compensation Approach for Geometric and Thermal Errors of CNC Milling Machines. Advances in Mechanical Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-465558
American Medical Association (AMA)
Wang, Wei& Zhang, Yi& Fan, Kaiguo& Yang, Jianguo. A Fourier Series-Neural Network Based Real-Time Compensation Approach for Geometric and Thermal Errors of CNC Milling Machines. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-465558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465558