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Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model
Joint Authors
Sánchez-Roca, Angel
Carvajal-Fals, Hipólito
Blanco-Fernández, Julio
Martínez-Cámara, Eduardo
Jiménez, Emilio
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper analyses the correlation between the acoustic emission signals and the main parameters of friction stir welding process based on artificial neural networks (ANNs).
The acoustic emission signals in Z and Y directions have been acquired by the AE instrument NI USB-9234.
Statistical and temporal parameters of discomposed acoustic emission signals using Wavelet Transform have been used as input of the ANN.
The outputs of the ANN model include the parameters of tool rotation speed and travel speed, and tool profile, as well as the tensile strength.
A multilayer feed-forward neural network has been selected and trained, using Levenberg-Marquardt algorithm for different network architectures.
Finally, an analysis of the comparison between the measured and the calculated data is presented.
The model obtained can be used to model and develop an automatic control of the parameters of the process and mechanical properties of joint, based on the acoustic emission signals.
American Psychological Association (APA)
Jiménez, Emilio& Sánchez-Roca, Angel& Carvajal-Fals, Hipólito& Blanco-Fernández, Julio& Martínez-Cámara, Eduardo. 2014. Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1033964
Modern Language Association (MLA)
Jiménez, Emilio…[et al.]. Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model. Abstract and Applied Analysis No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1033964
American Medical Association (AMA)
Jiménez, Emilio& Sánchez-Roca, Angel& Carvajal-Fals, Hipólito& Blanco-Fernández, Julio& Martínez-Cámara, Eduardo. Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1033964
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033964