Assessment Of Joints Using Friction Stir Welding And Refill Friction Stir Spot Welding Methods
Archives of Metallurgy and Materials, 2015 FSW (Friction Stir Welding) and RFSSW (Refill Friction Stir Spot Welding) joints have been increasingly used in industrial practice. They successfully replace fusion-welded, riveted or resistance-welded joints.
Lacki P., Więckowski W., Wieczorek P.
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Effects of Refill Friction Stir Spot Weld Spacing and Edge Margin on Mechanical Properties of Multi-Spot-Welded Panels [PDF]
Journal of Manufacturing and Materials Processing, 2020 Refill friction stir spot welding (RFSSW) is an emerging technology for joining aerospace aluminum alloys. The aim of the study is to investigate the effects of the refill friction stir spot weld spacing and the edge margin on the mechanical properties ...
Guruvignesh Lakshmi Balasubramaniam +4 more
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2D Axisymmetric Modeling of Refill Friction Stir Spot Welding and Experimental Validation
Journal of Manufacturing and Materials Processing, 2022 The development of the simulation of refill friction stir spot welding (RFSSW) is critical to be able to predict the behavior of aluminum in the process under specific parameters.
Evan Berger +4 more
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Refill Friction Stir Spot Welding of Dissimilar 6061/7075 Aluminum Alloy [PDF]
High Temperature Materials and Processes, 2019 Refill friction stir spot welding (RFSSW) was used to join 6061-T6 and 7075-T6 aluminum alloys in this work. Different sheet configurations and welding parameters were used to optimize joint strength.
Liu Zhenlei, Yang Kang, Yan Dejun
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Experimental and Numerical Stress State Assesment in Refill Friction Stir Spot Welding Joints
Fatigue of Aircraft Structures, 2021 Refill Friction Stir Spot Welding (RFSSW) is a technology used for joining solid materials that was developed in Germany in 2002 by GKSS-GmbH as a variant of the conventional friction stir spot welding (FSSW) [1].
Gadalińska Elżbieta +3 more
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Numerical and Experimental Analyses of Developed Friction Stir Spot Welding (DFSSW) Based on Systematic Design Process Approach. [PDF]
ScientificWorldJournalThis research paper presents a developed technique for Friction Stir Spot Welding (FSSW) to join similar aluminum sheets (6061), and then this technique was analyzed critically based on numerical simulation and experimental work. The objective of this Developed Friction Stir Spot Welding (DFSSW) is to avoid or at least reduce the keyhole defects by ...
Abd Al-Sahb WS +3 more
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The Influence of Tool Wear on the Mechanical Performance of AA6061-T6 Refill Friction Stir Spot Welds. [PDF]
Materials (Basel), 2021 The Refill Friction Stir Spot Welding (RFSSW) process—an alternative solid-state joining technology—has gained momentum in the last decade for the welding of aluminum and magnesium alloys. Previous studies have addressed the influence of the RFSSW process on the microstructural and mechanical properties of the AA6061-T6 alloy.
de Carvalho WS +4 more
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Joining of Fibre-Reinforced Thermoplastic Polymer Composites by Friction Stir Welding—A Review
Applied Sciences, 2022 The objective of the current work is to show the potential of the friction stir welding (FSW) and its variants to join fibre-reinforced thermoplastic polymer (FRTP) composites.
Miguel A. R. Pereira +4 more
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Nanotechnology Reviews, 2022 In this review article, the joining of carbon fiber-reinforced polymer composite with metallic materials by using friction welding techniques was discussed and the effects of process parameters on the weld properties were evaluated.
Asmael Mohammed +6 more
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Light and Shape‐Memory Polymers: Characterization, Preparation, Stimulation, and Application
Macromolecular Materials and Engineering, Volume 308, Issue 12, December 2023., 2023 Light plays a vital role in understanding shape‐memory polymers (SMPs) structure‐property relations, preparing original shapes, non‐contact stimuli application, and tuning optical properties. This review covers optical/spectroscopic approaches, photochemical SMP construction, shape change via photochemical and photothermal mechanisms, and optimizing ...
Liang Fang +7 more
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