Upset Prediction in Friction Welding Using Radial Basis Function Neural Network
Joint Authors
Liu, Wei
Wang, Feifan
Li, Wenya
Yang, Xiawei
Source
Advances in Materials Science and Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
This paper addresses the upset prediction problem of friction welded joints.
Based on finite element simulations of inertia friction welding (IFW), a radial basis function (RBF) neural network was developed initially to predict the final upset for a number of welding parameters.
The predicted joint upset by the RBF neural network was compared to validated finite element simulations, producing an error of less than 8.16% which is reasonable.
Furthermore, the effects of initial rotational speed and axial pressure on the upset were investigated in relation to energy conversion with the RBF neural network.
The developed RBF neural network was also applied to linear friction welding (LFW) and continuous drive friction welding (CDFW).
The correlation coefficients of RBF prediction for LFW and CDFW were 0.963 and 0.998, respectively, which further suggest that an RBF neural network is an effective method for upset prediction of friction welded joints.
American Psychological Association (APA)
Liu, Wei& Wang, Feifan& Yang, Xiawei& Li, Wenya. 2013. Upset Prediction in Friction Welding Using Radial Basis Function Neural Network. Advances in Materials Science and Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-453690
Modern Language Association (MLA)
Liu, Wei…[et al.]. Upset Prediction in Friction Welding Using Radial Basis Function Neural Network. Advances in Materials Science and Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-453690
American Medical Association (AMA)
Liu, Wei& Wang, Feifan& Yang, Xiawei& Li, Wenya. Upset Prediction in Friction Welding Using Radial Basis Function Neural Network. Advances in Materials Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-453690
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453690