Abstract
This work mainly focus on finding the optimal conditions for improving the efficiency of the dissimilar welded joints that were prepared using the friction stir welding (FSW) process. To carry out ...
Highlights
friction stir welding (FSW) is a revolutionary concept used by industrialists and welding experts because it provides the best solution to address difficulties in automotive and aerospace industries and various applications are used for joining aluminum alloys at high temperature and new opportunities for a relook of the best use of most available metal on earth
The higher rotational speeds observed on welding zone defect-free weld zone at rotational speeds is lower due to the formation of cracks and microstructural investigations determined heat affect zone, thermomechanically affected zone, grain size, stir zone has recrystallized zones fine for higher hardness
Investigated Al2024 (Wahid, Khan, Siddique, Shandley, & Sharma, 2018) of friction stir spot welding by a novel method and increasing of length joint and nugget zone of rotational speed 1,600 rpm, height protrusion 0.4 mm and metallurgic bonding is superior and fine grain size is 0.5 μm due to plastic deformation and dynamic recrystallization nugget zone is more significant compared to joint length
Summary
Among all the conventional methods, the recently evolved friction stir welding (FSW) process has become very popular as it is used for welding numerous materials and hard metals, including aluminum, magnesium, and polyethylene, where accuracy is not of prime importance. The objective of this research work involving the FSW process is to conduct an experimental investigation on the process parameters and to study the types of responses. It is hoped that this production process would find wide applications in shipbuilding, aerospace industries, marine, and construction industries. Subjects: Manufacturing Engineering; Materials Science; Production Engineering Keywords: Dissimilar welded joints; friction stir welding; Grey relational analysis; Grey relational grade; multi-responses; optimization
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