2014
DOI: 10.1016/j.matdes.2014.03.043
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Numerical simulation and experimental investigation on friction stir welding of 6061-T6 aluminum alloy

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Cited by 80 publications
(27 citation statements)
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“…The use of the information on the material flow path and the material velocity at the workpiece is one of the major information for analyzing the defect formation. Zhang et al [93] demonstrated a defect-prone region based on the predicted three-dimensional material flow field and the experimental microstructure. A similar concept was also indicated in the experimental work Fig.…”
Section: Materials Flow Behaviormentioning
confidence: 99%
“…The use of the information on the material flow path and the material velocity at the workpiece is one of the major information for analyzing the defect formation. Zhang et al [93] demonstrated a defect-prone region based on the predicted three-dimensional material flow field and the experimental microstructure. A similar concept was also indicated in the experimental work Fig.…”
Section: Materials Flow Behaviormentioning
confidence: 99%
“…T 0 is the ambient temperature, which is assumed to be 300 K in this study, k is the thermal conductivity of weld materials. 15) The boundary conditions at the bottom of the workpiece are formulated as:…”
Section: ð3þmentioning
confidence: 99%
“…When the frictional heat generation and the plastic deformation heat generation enter a stable state, the thin layer of the viscous fluid material around the FSW tool reaches a stable thickness and the welding enters a stable state. In the stable welding stage, due to the rotation and movement of the FSW tool, the front edge viscous fluid material fills the cavity created in the rear of the welding direction, forming a tight weld under the action of forging force [23,24].…”
Section: Finite Element Model Of Fswmentioning
confidence: 99%