Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints-Reference-Cited by-同舟云学术

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

Published:2020-12-31 Issue:0 Volume:0 Page:
ISSN:2300-7591
Container-title:Fatigue of Aircraft Structures
language:en
Short-container-title:

Author:

Mishra Akshansh¹²^ORCID

Affiliation:

1. Department of Mechanical Engineering , Politecnico Di Milano , Piazza Leonardo da Vinci, 32, 20133 Milano , Italy

2. Centre for Artificial Intelligent Manufacturing Systems , Neural Net , India

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Aerospace Engineering,Civil and Structural Engineering

Link

https://www.sciendo.com/pdf/10.2478/fas-2020-0003

Reference12 articles.

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