2017
DOI: 10.1007/978-3-319-52383-5_18
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A Numerical Simulation for Dissimilar Aluminum Alloys Joined by Friction Stir Welding

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Cited by 3 publications
(4 citation statements)
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“…The 4043 electrode wire from the 4xxx group (5% Si) was used for welding busduct elements welding. Numerical analysis related to heat flow or welding stresses in aluminum alloys has been reported in the literature, but never related to the use of the micro-jet process in welding [13][14][15]. In the article, it was decided to subject the results obtained in real welding to numerical analysis in order to validate and verify the obtained results.…”
Section: Methodsmentioning
confidence: 99%
“…The 4043 electrode wire from the 4xxx group (5% Si) was used for welding busduct elements welding. Numerical analysis related to heat flow or welding stresses in aluminum alloys has been reported in the literature, but never related to the use of the micro-jet process in welding [13][14][15]. In the article, it was decided to subject the results obtained in real welding to numerical analysis in order to validate and verify the obtained results.…”
Section: Methodsmentioning
confidence: 99%
“…Band pattern is one of the features of BTFSW joining which effects on mechanical properties of joint. Hamilton et al [74] in their numerical simulation study on Al 6082-T6 compared torque-based approach with shear layer approach. Further, they proposed a modified shear layer approach which overcomes the limitation of above both methods and showed excellent agreement with experimental results.…”
Section: Optimisation Of Btfswmentioning
confidence: 99%
“…An alternative relationship between welding temperature, solidus temperature, and energy per unit length of the weld was proposed by Hamilton et al. [15]. However, the model's accuracy was low for high energy, not allowing its application over a wide range of process parameters.…”
Section: Introductionmentioning
confidence: 99%
“…flow stress at high temperature [13]), energy inputs (i.e. the power required for the welding [15]) or process variable quantity (i.e. strain rate during the process [16]) that are not always available and difficult to calculate analytically.…”
Section: Introductionmentioning
confidence: 99%