2026-09-15T07:31:44Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1460922025-06-05T12:36:20Zcom_10366_145966com_10366_122682com_10366_4666com_10366_3823col_10366_145968
Gestión del Repositorio Documental de la Universidad de Salamanca
author
Mishra, Akshansh
2021-05-21T10:08:35Z
2021-05-21T10:08:35Z
2020-06-19
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9 (2020)
2255-2863
http://hdl.handle.net/10366/146092
Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries like automobiles, manufacturing, aerospace and railway firms. Input parameters like tool rotational speed, welding speed, axial force and tilt angle govern the quality of Friction Stir Welded joint. Improper selection of these parameters further leads to fabrication of the joint of bad quality resulting groove edges, flash formation and various other surface defects. In the present work, a texture based analytic machine learning algorithm known as Local Binary Pattern (LBP) is used for the extraction of texture features of the Friction Stir Welded joints which are welded at a different rotational speed. It was observed that LBP algorithm can accurately detect any irregularities present on the surface of Friction Stir Welded joint.
eng
info:eu-repo/semantics/openAccess
Machine Learning
Friction Stir Welding
Local Binary Pattern
Machine Vision
Local binary pattern for the evaluation of surface quality of dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium Alloys
info:eu-repo/semantics/article
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ZXN1cG9uZSBxdWUgc2UgaGEgY3VtcGxpZG8gY29uIGN1YWxxdWllciBkZXJlY2hvIGRlIHJldmlzacOzbiB1IG90cmFzIG9ibGlnYWNpb25lcyByZXF1ZXJpZGFzIHBvciBlc3RlIGNvbnRyYXRvIG8gYWN1ZXJkby4KCjcuTGEgVW5pdmVyc2lkYWQgZGUgU2FsYW1hbmNhIGlkZW50aWZpY2Fyw6EgY2xhcmFtZW50ZSBzdS9zIG5vbWJyZS9zIGNvbW8gZWwvbG9zIGF1dG9yL2VzIG8gcHJvcGlldGFyaW8vcyBkZSBsb3MgZGVyZWNob3MgZGVsIGRvY3VtZW50bywgeSBubyBoYXLDoSBuaW5ndW5hIGFsdGVyYWNpw7NuIGRlIHN1IGRvY3VtZW50byBkaWZlcmVudGUgYSBsYXMgcGVybWl0aWRhcyBlbiBlc3RhIGxpY2VuY2lhLg==
URL
https://gredos.usal.es/bitstream/10366/146092/1/Local_binary_pattern_for_the_evaluation_.pdf
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Local_binary_pattern_for_the_evaluation_.pdf
URL
https://gredos.usal.es/bitstream/10366/146092/5/Local_binary_pattern_for_the_evaluation_.pdf.txt
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Local_binary_pattern_for_the_evaluation_.pdf.txt