2019
DOI: 10.2478/scjme-2019-0011
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Numerical Simulation of Heat Transfer Behavior of Dissimilar AA5052-AA6061 Plates in Fiction Stir Welding: An Experimental Validation

Abstract: Fiction Stir welding (FSW) a unique type of metal joining process in solid state, where the heat generation takes place due to the friction action between the rotating tool and the work piece. It is generally used to join all series of Aluminum alloys with good strength and other metallic alloys finds difficult to weld through regular fusion welding techniques. The metal joining takes place in the solid state as the metal to be welded reaches about 80% to 90% of its melting temperature. The joining of metals i… Show more

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Cited by 7 publications
(8 citation statements)
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References 10 publications
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“…1. The physical parameters of the aluminium profile are shown in the Tab 2 [4,5,10]. Transient analysis, which took approximately 3 days, was performed for initialization.…”
Section: Cfd Simulationmentioning
confidence: 99%
See 2 more Smart Citations
“…1. The physical parameters of the aluminium profile are shown in the Tab 2 [4,5,10]. Transient analysis, which took approximately 3 days, was performed for initialization.…”
Section: Cfd Simulationmentioning
confidence: 99%
“…where Cp is specific heat capacity of water and air mixture defined by (9);  is dynamic viscosity of water and air mixture defined by (10); ( , ) is kinematic viscosity of water and air mixture defined by (11), is the mean value of a fluid velocity as a function of a distance from the nozzle orifice and a radius defined by (12) and d is hydraulic diameter.…”
Section: Fem Simulationmentioning
confidence: 99%
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“…In this study, the effect of heat conduction to the backplate, and temperature generated in the FSW process were examined. Vishwanath et al [16] studied a 3-D transient analysis by using ANSYS. In the simulation of the AA6061 plate, the temperature rise is 339°C, which is recorded by attaching a thermocouple 12mm away from the weld line and 291°C by placing 16mm away from the weld line.…”
Section: Introductionmentioning
confidence: 99%
“…Mishra et al [14] used the convolutional neural network to separate the texture of the Friction Stir Welded joint from the common welded joint. [15] In the recent work, Fourier transformation which is a Computer vision tool utilized by using Python programming executed on Google Colaboratory platform for the edge detection of Friction Stir Welded joints.…”
Section: Introductionmentioning
confidence: 99%