Reliability Analysis of the Chatter Stability during Milling Using a Neural Network
Joint Authors
Hu, Sen
Zhang, Yimin
Lv, Chunmei
Huang, Xianzhen
Source
International Journal of Aerospace Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-13
Country of Publication
Egypt
No. of Pages
10
Abstract EN
The parameters of a system have the randomness generally in the process of milling, which influences the stability of the milling.
This paper uses the neural network to get a comprehensive analysis of the influences of random factors in milling and proposes a method for reliability analysis of the regenerative chatter stability in milling.
Dynamic model of milling regenerative chatter is established, and stability lobe diagram is obtained by the full-discretization method (FDM).
The neural network is applied to approximate the functional relationship of the limit axial cutting depth; then the reliability is computed with the Monte Carlo simulation method (MCSM) and the moment method (MM), respectively.
Finally, the results of an example are used to demonstrate the efficiency and accuracy of the proposed method.
American Psychological Association (APA)
Hu, Sen& Huang, Xianzhen& Zhang, Yimin& Lv, Chunmei. 2016. Reliability Analysis of the Chatter Stability during Milling Using a Neural Network. International Journal of Aerospace Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1105004
Modern Language Association (MLA)
Hu, Sen…[et al.]. Reliability Analysis of the Chatter Stability during Milling Using a Neural Network. International Journal of Aerospace Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1105004
American Medical Association (AMA)
Hu, Sen& Huang, Xianzhen& Zhang, Yimin& Lv, Chunmei. Reliability Analysis of the Chatter Stability during Milling Using a Neural Network. International Journal of Aerospace Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1105004
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105004