This paper is published in Volume-3, Issue-6, 2017
Area
Mechanical Engineering
Author
Ankur Gill
Org/Univ
Swami Vivekanand Institute of Engineering & Technology, Chandigarh, India
Pub. Date
11 December, 2017
Paper ID
V3I6-1381
Publisher
Keywords
Friction-Stir Welding, Shoulder Diameter, Tool Rotational Speed, Micro Hardness, Aluminium Alloy [A6061]

Citationsacebook

IEEE
Ankur Gill. Research on Effect of Process Parameter on Micro Hardness of Friction Stir Welded Aluminium Alloy [A6061] Joints, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ankur Gill (2017). Research on Effect of Process Parameter on Micro Hardness of Friction Stir Welded Aluminium Alloy [A6061] Joints. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.

MLA
Ankur Gill. "Research on Effect of Process Parameter on Micro Hardness of Friction Stir Welded Aluminium Alloy [A6061] Joints." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.

Abstract

Friction stir welding (FSW) process is a promising solid-state joining process with the potential to join low-melting-point material, particularly, aluminum alloy. The most attractive reason for joining aluminum alloy with this process is the avoidance of the solidification defects formed by conventional fusion welding processes. In this research article, an attempt has been made to develop an empirical relationship between FSW variables and Micro Hardness. A factorial design was used by considering three factor and eight trials, which enables to quantify the direct and interactive effect of three numeric factors, that is, tool rotational speed, welding speed, and shoulder diameter on the Micro Hardness. The developed relationship is useful for prediction of Micro Hardness in friction stir welded AA6061 aluminum alloy joints at 95% confidence level. It will also be helpful for selection of process variable to obtain the desired strength of the joint. Furthermore, the optimized capabilities in design- the expert software was used to numerically optimize the input parameters.
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