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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/196382 |
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| _version_ | 1850237231448457216 |
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| author | Wei Liu Feifan Wang Xiawei Yang Wenya Li |
| author_facet | Wei Liu Feifan Wang Xiawei Yang Wenya Li |
| author_sort | Wei Liu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0046cda21fdc4534b63f9fafb71a19cf |
| institution | OA Journals |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-0046cda21fdc4534b63f9fafb71a19cf2025-08-20T02:01:47ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422013-01-01201310.1155/2013/196382196382Upset Prediction in Friction Welding Using Radial Basis Function Neural NetworkWei Liu0Feifan Wang1Xiawei Yang2Wenya Li3State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, Shaanxi 710071, ChinaState Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaState Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaState Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaThis 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.http://dx.doi.org/10.1155/2013/196382 |
| spellingShingle | Wei Liu Feifan Wang Xiawei Yang Wenya Li Upset Prediction in Friction Welding Using Radial Basis Function Neural Network Advances in Materials Science and Engineering |
| title | Upset Prediction in Friction Welding Using Radial Basis Function Neural Network |
| title_full | Upset Prediction in Friction Welding Using Radial Basis Function Neural Network |
| title_fullStr | Upset Prediction in Friction Welding Using Radial Basis Function Neural Network |
| title_full_unstemmed | Upset Prediction in Friction Welding Using Radial Basis Function Neural Network |
| title_short | Upset Prediction in Friction Welding Using Radial Basis Function Neural Network |
| title_sort | upset prediction in friction welding using radial basis function neural network |
| url | http://dx.doi.org/10.1155/2013/196382 |
| work_keys_str_mv | AT weiliu upsetpredictioninfrictionweldingusingradialbasisfunctionneuralnetwork AT feifanwang upsetpredictioninfrictionweldingusingradialbasisfunctionneuralnetwork AT xiaweiyang upsetpredictioninfrictionweldingusingradialbasisfunctionneuralnetwork AT wenyali upsetpredictioninfrictionweldingusingradialbasisfunctionneuralnetwork |