Microstructural evolution and mechanical performance of Al–Cu–Li alloy joined by friction stir welding

Naumov, Anton; Isupov, Fedor; Rylkov, Evgenii; Polyakov, P. A.; Panteleev, M. D.; Skupov, A.A.; Amancio‐Filho, Sergio T.; Panchenko, O. V.

doi:10.1016/j.jmrt.2020.10.008

Cited by 22 publications

(5 citation statements)

References 36 publications

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“…The CFD model contains 8,637,083 tetrahedral cells with finer mesh in the center. The governing equations were described in previous research [ 32 , 33 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

Effect of Different Tool Probe Profiles on Material Flow of Al–Mg–Cu Alloy Joined by Friction Stir Welding

et al. 2021

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Friction Stir Welding (FSW) was utilized to butt−join 2024–T4 aluminum alloy plates of 1.9 mm thickness, using tools with conical and tapered hexagonal probe profiles. The characteristic effects of FSW using tools with tapered hexagonal probe profiles include an increase in the heat input and a significant modification of material flow, which have a positive effect on the metallurgical characteristics and mechanical performance of the weld. The differences in mechanical properties were interpreted through macrostructural changes and mechanical properties of the welded joints, which were supported by numerical simulation results on temperature distribution and material flow. The material flow resulting from the tapered hexagonal probe was more complicated than that of the conical probe. If in the first case, the dynamic viscosity and strain rate are homogeneously distributed around the probe, but in the case of the tapered hexagonal probe tool, the zones with maximum values of strain rates and minimum values of dynamic viscosity are located along the six tapered edges of the probe.

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“…The CFD model contains 8,637,083 tetrahedral cells with finer mesh in the center. The governing equations were described in previous research [ 32 , 33 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

Effect of Different Tool Probe Profiles on Material Flow of Al–Mg–Cu Alloy Joined by Friction Stir Welding

et al. 2021

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“…In this work, heat generation model presented in [1] is used. The same approach was also used to calculate temperature fields during FSW in several research [4][5][6]. Heat generation due to friction given by following equation…”

Section: Governing Equationsmentioning

confidence: 99%

Mathematical Modeling of FSW for AA5056 Alloy

Uporov

Ozhegov

Rylkov

2023

KEM

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This paper presents a Computational Fluid Dynamics (CFD) model for friction spot stir welding applied to two plates made of AA5056 alloy. Welding was carried out at several speeds of rotation of the tool, while the temperature was observed from the surface of the upper plate using thermocouple. Using this temperature, the mathematical model was adjusted. Since the model is based on the CFD method, in this case the plate material was specified as a very viscous fluid, the dynamic viscosity of which depends on temperature and strain rates. Welding was carried out at several speeds of rotation of the tool, with its own model created for each speed. As a result, the temperature and dynamic viscosity distributions in the welding zone were obtained.

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“…The main applications of Al-Cu joints are as conductors in transformers, electrical connectors, busbars, heat exchanges, etc., combining the electrical conduction capacity of copper and the heat dissipation capacity of aluminum [19,20,28]. The selection of the appropriate welding parameters, such as the rotational speed, traverse speed and tool plunge depth, plays an important role in these investigations [4,5,7,24,29]. Previous studies undertaken on these alloys have achieved excellent quality welds with good mechanical properties [1,4,22,25,30,31]; however, corrosion resistance has barely been studied [27,29,[32][33][34].…”

Section: Of 19mentioning

confidence: 99%

“…The selection of the appropriate welding parameters, such as the rotational speed, traverse speed and tool plunge depth, plays an important role in these investigations [4,5,7,24,29]. Previous studies undertaken on these alloys have achieved excellent quality welds with good mechanical properties [1,4,22,25,30,31]; however, corrosion resistance has barely been studied [27,29,[32][33][34].…”

Section: Of 19mentioning

confidence: 99%

Experimental Analysis and Mathematical Model of FSW Parameter Effects on the Corrosion Rate of Al 6061-T6-Cu C11000 Joints

et al. 2021

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Friction stir welding is characterized as an ecological and low-cost process in comparison to traditional welding techniques, and due to its application in the solid state, it is a feasible option for joining similar and/or dissimilar materials. The present investigation seeks to determine the effect of friction stir welding’s parameters on the corrosion resistance of an Al 6061-T6–Cu C11000 dissimilar joint, with mathematical analysis to validate the results. After the welding process, the samples were exposed to a NaCl solution in an electrochemical cell to determine the corrosion rate via potentiodynamic tests. Microstructural characterization revealed a laminar structure, composed of aluminum and copper, as well as copper particles and the formation of intermetallic compounds distributed in the weld zone. The potentiodynamic tests showed that the corrosion rate increased with the rotational and traverse speeds. The mathematical model quantifies the relationship between corrosion rate and rotational and traverse speeds.

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Microstructural evolution and mechanical performance of Al–Cu–Li alloy joined by friction stir welding

Cited by 22 publications

References 36 publications

Effect of Different Tool Probe Profiles on Material Flow of Al–Mg–Cu Alloy Joined by Friction Stir Welding

Effect of Different Tool Probe Profiles on Material Flow of Al–Mg–Cu Alloy Joined by Friction Stir Welding

Mathematical Modeling of FSW for AA5056 Alloy

Experimental Analysis and Mathematical Model of FSW Parameter Effects on the Corrosion Rate of Al 6061-T6-Cu C11000 Joints

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