Upset Prediction in Friction Welding Using Radial Basis Function Neural Network

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...

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Bibliographic Details
Main Authors: Wei Liu, Feifan Wang, Xiawei Yang, Wenya Li
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2013/196382
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