Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

Friction Stir Welding joint quality depends on input parameters such as tool rotational speed, tool traverse speed, tool tilt angle and an axial force. Surface defects formation occurs when these input parameters are not selected properly. The main objective of the recent paper is to develop Discret...

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Bibliographic Details
Published inFatigue of aircraft structures Vol. 2020; no. 12; pp. 27 - 35
Main Author Mishra, Akshansh
Format Journal Article
LanguageEnglish
Published Warsaw Sciendo 01.12.2020
De Gruyter Poland
Subjects
Algorithms
Axial forces
Discrete Wavelet Transform
Friction Stir Welding
Machine Vision
Parameters
Programming languages
Python programming
Surface Defects
Wavelet transforms
Welded joints
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Summary:Friction Stir Welding joint quality depends on input parameters such as tool rotational speed, tool traverse speed, tool tilt angle and an axial force. Surface defects formation occurs when these input parameters are not selected properly. The main objective of the recent paper is to develop Discrete Wavelet Transform algorithm by using Python programming and further subject it to the Friction Stir Welded samples for the identification of various external surface defects present.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2300-7591
2081-7738
2300-7591
DOI:10.2478/fas-2020-0003