Recent developments in joining of aluminum alloys
G Çam, G İpekoğlu - The International Journal of Advanced Manufacturing …, 2017 - Springer
The mass saving potential of light-weight materials, such as Al alloys, is beneficial for fuel
economy and reducing CO 2 emissions. However, the wide-spread use of these alloys has …
economy and reducing CO 2 emissions. However, the wide-spread use of these alloys has …
Recent advances in friction stir welding/processing of aluminum alloys: microstructural evolution and mechanical properties
ZY Ma, AH Feng, DL Chen, J Shen - Critical Reviews in Solid State …, 2018 - Taylor & Francis
Friction stir welding (FSW), a highly efficient solid-state joining technique, has been termed
as “green” technology due to its energy efficiency and environment friendliness. It is an …
as “green” technology due to its energy efficiency and environment friendliness. It is an …
Review of recent trends in friction stir welding process of aluminum alloys and aluminum metal matrix composites
Welding is a vital component of several industries such as automotive, aerospace, robotics,
and construction. Without welding, these industries utilize aluminum alloys for the …
and construction. Without welding, these industries utilize aluminum alloys for the …
Microstructure and mechanical properties of dissimilar friction stir welding of 6061-to-7050 aluminum alloys
In this work, the microstructure and mechanical properties of friction stir welded dissimilar
butt joints of 6061-to-7050 aluminum alloys were evaluated. Microstructure analysis of the …
butt joints of 6061-to-7050 aluminum alloys were evaluated. Microstructure analysis of the …
Review on underwater friction stir welding: A variant of friction stir welding with great potential of improving joint properties
Friction stir welding (FSW) is a solid-state welding process which is capable of joining
materials which are relatively difficult to be welded by fusion welding process. Further, this …
materials which are relatively difficult to be welded by fusion welding process. Further, this …
Experimental investigation and numerical analysis using Taguchi and ANOVA methods for underwater friction stir welding of aluminium alloy 2017 process …
The effect of under water friction stir welding for 5 mm AA2017 aluminum alloy plaque on
mechanical properties has been examined and optimized. Nine different tests were …
mechanical properties has been examined and optimized. Nine different tests were …
Mechanical and microstructural properties evolutions of various alloys welded through cooling assisted friction-stir welding: A review
Friction stir welding (FSW) exhibit high rate of plastic deformation thereby microstructure
modification through intense coarsening and grain boundary precipitation found in the weld …
modification through intense coarsening and grain boundary precipitation found in the weld …
Factors affecting the properties of friction stir welds between aluminum and magnesium alloys
Extruded Al–0.5 Mg–0.3 Si (6063) aluminum and rolled Mg–3Al–1Zn (AZ31B) magnesium
alloy sheets were joined by Friction Stir Welding. The dissimilar metal weld joints exhibit …
alloy sheets were joined by Friction Stir Welding. The dissimilar metal weld joints exhibit …
Friction stir welding of dissimilar Al–Mg alloys for aerospace applications: Prospects and future potential
S Nagaraja, PB Anand, M Mariswamy… - Reviews on advanced …, 2024 - degruyter.com
Friction stir welding (FSW) is increasingly utilized in aerospace for welding dissimilar Al–Mg
alloys without melting, overcoming fusion welding challenges. This summary highlights …
alloys without melting, overcoming fusion welding challenges. This summary highlights …
The response of force characteristic to weld-forming process in friction stir welding assisted by machine learning
In this study, the response of welding force characteristic to weld-forming process in friction
stir welding (FSW) was systematically investigated. Assisted by machine learning technique …
stir welding (FSW) was systematically investigated. Assisted by machine learning technique …