Neuro-Fuzzy Model for the Prediction and Classification of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld
Joint Authors
Campanelli, Sabina Luisa
Casalino, Giuseppe
Memola Capece Minutolo, Fabrizio
Source
Advances in Materials Science and Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-07
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Weld imperfections are tolerable defects as stated from the international standard.
Nevertheless they can produce a set of drawbacks like difficulty to assembly, reworking, limited fatigue life, and surface imperfections.
In this paper Ti6Al4V titanium butt welds were produced by CO2 laser welding.
The following tolerable defects were analysed: weld undercut, excess weld metal, excessive penetration, incomplete filled groove, root concavity, and lack of penetration.
A neuro-fuzzy model for the prediction and classification of the defects in the fused zone was built up using the experimental data.
Weld imperfections were connected to the welding parameters by feed forward neural networks.
Then the imperfections were clustered using the C-means fuzzy clustering algorithm.
The clusters were named after the ISO standard classification of the levels of imperfection for electron and laser beam welding of aluminium alloys and steels.
Finally, a single-value metric was proposed for the assessment of the overall bead geometry quality.
It combined an index for each defect and functioned according to the criterion “the-smallest-the-best.”
American Psychological Association (APA)
Casalino, Giuseppe& Campanelli, Sabina Luisa& Memola Capece Minutolo, Fabrizio. 2013. Neuro-Fuzzy Model for the Prediction and Classification of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld. Advances in Materials Science and Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-510979
Modern Language Association (MLA)
Casalino, Giuseppe…[et al.]. Neuro-Fuzzy Model for the Prediction and Classification of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld. Advances in Materials Science and Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-510979
American Medical Association (AMA)
Casalino, Giuseppe& Campanelli, Sabina Luisa& Memola Capece Minutolo, Fabrizio. Neuro-Fuzzy Model for the Prediction and Classification of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld. Advances in Materials Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-510979
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510979