![](/images/graphics-bg.png)
Modeling and Analysis of the Weld Bead Geometry in Submerged Arc Welding by Using Adaptive Neurofuzzy Inference System
Joint Authors
Karayel, Durmuş
Akkas, Nuri
Oğur, Ahmet
Topal, Bayram
Ozkan, S. Serdar
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This study is aimed at obtaining a relationship between the values defining bead geometry and the welding parameters and also to select optimum welding parameters.
For this reason, an experimental study has been realized.
The welding parameters such as the arc current, arc voltage, and welding speed which have the most effect on bead geometry are considered, and the other parameters are held as constant.
Four, three, and five different values for the arc current, the arc voltage, and welding speed are used, respectively.
So, sixty samples made of St 52-3 material were prepared.
The bead geometries of the samples are analyzed, and the thickness and penetration values of the weld bead are measured.
Then, the relationship between the welding parameters is modeled by using artificial neural network (ANN) and neurofuzzy system approach.
Each model is checked for its adequacy by using test data which are selected from experimental results.
Then, the models developed are compared with regard to accuracy.
Also, the appropriate welding parameters values can be easily selected when the models improve.
American Psychological Association (APA)
Akkas, Nuri& Karayel, Durmuş& Ozkan, S. Serdar& Oğur, Ahmet& Topal, Bayram. 2013. Modeling and Analysis of the Weld Bead Geometry in Submerged Arc Welding by Using Adaptive Neurofuzzy Inference System. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031913
Modern Language Association (MLA)
Akkas, Nuri…[et al.]. Modeling and Analysis of the Weld Bead Geometry in Submerged Arc Welding by Using Adaptive Neurofuzzy Inference System. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1031913
American Medical Association (AMA)
Akkas, Nuri& Karayel, Durmuş& Ozkan, S. Serdar& Oğur, Ahmet& Topal, Bayram. Modeling and Analysis of the Weld Bead Geometry in Submerged Arc Welding by Using Adaptive Neurofuzzy Inference System. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031913
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031913