Influence of Welding Parameters on the Mechanical Properties of Dissimilar AA7075-AA6061 Friction Stir Welds
V. K. Chaitanya Varma1, S. Rajesh2, P. Rama Murthy Raju3, V. K. Viswanadha Raju4
1V. K. Chaitanya Varma, Department of Mechanical Engineering, S. R. K. R. Engineering College, Bhimavaram (Andhra Pradesh), India.
2S. Rajesh, Department of Mechanical Engineering, S. R. K. R. Engineering College, Bhimavaram (Andhra Pradesh), India.
3P. Ramamurthy Raju, Department of Mechanical Engineering, S. R. K. R. Engineering College, Bhimavaram (Andhra Pradesh), India.
4V. K. Viswanadha Raju, Department of Mechanical Engineering, S. R. K. R. Engineering College, Bhimavaram (Andhra Pradesh), India.
Manuscript received on 11 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 81-88 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10160681S319/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Friction stir welding (FSW) of different Aluminium alloys and materials is becoming advancing essential as it enables to take the advantage of both the materials. In present study FSW of different AA7075-AA6061 is studied regarding to welding speed, rotational speed and tooling geometry. The friction stir weld joints were carried out according to Taguchi L9 orthogonal array. Three different tools with different probe profiles i.e. tapered cylinder, straight cylinder and square were fabricated for this study. Mechanical testing’s likely tensile, impact; bending and hardness tests are performed to study the mechanical properties and nature of weld joints. A reduced polynomial equation of second order will be well implemented and developed using regression analysis. Furthermore Taguchi analysis will be performed in order to identify the optimized levels for obtaining good quality welds. In addition to above ANOVA is also performed to identify the most significant effective parameters among various process parameters.
Keywords: Aluminium Alloys, ANOVA, Friction Stir Welding (FSW), Regression Analysis, Tool Rotational Speed, Welding Speed.
Scope of the Article: Welding Technology