Issue |
MATEC Web Conf.
Volume 381, 2023
1st International Conference on Modern Technologies in Mechanical & Materials Engineering (MTME-2023)
|
|
---|---|---|
Article Number | 02006 | |
Number of page(s) | 8 | |
Section | Materials Engineering | |
DOI | https://doi.org/10.1051/matecconf/202338102006 | |
Published online | 13 June 2023 |
Optimizing the process parameters of Fiction Stir Welded dissimilar 2024Al-5754Al Joint using the Taguchi Method
Department of Industrial Engineering, University of Engineering and Technology Taxila, Punjab 47050, Pakistan
* Corresponding author: feroz.haider@students.uettaxila.edu.pk
It is a requirement of modern age industries, especially the aerospace, automobile, and shipbuilding sectors, to manufacture high strength and low weight dissimilar aluminium alloy welded joints. Therefore, the aim of this project is to investigate the effect of tool rotation speed, feed rate, and pin type on the ultimate tensile strength (UTS) of dissimilar aluminium alloys (2024 Al and 5754 Al) in friction stir welded joints. Nine experiments have been performed using an orthogonal array (L9) of the Taguchi method. An analysis of variance (ANOVA) established that pin type is the most prominent parameter, followed by tool rotation speed and feed rate. The optimal value of ultimate tensile strength (268 MPa) was achieved at 1.5 mm/s feed rate, 1600 rpm speed, and type 1 of pin. A confirmation test shows that there is a high correlation between the estimated and actual values of UTS.
Key words: Ultimate tensile strength / Friction Stir welded joints / Taguchi method / 2024Al-5754Al / orthogonal array
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.