Overview of Texture Evolution during Friction Stir Welding of Stainless Steel Using Crystal Plasticity and EBSD

Jae Hyung Cho; Donald E. Boyce; Paul R. Dawson

doi:10.4028/www.scientific.net/MSF.550.479

Paper Titles

Role of Recovery in the Recrystallization Simulation Application to a Cold Rolled IF-Ti Steel and a Cold Drawn Copper Wire
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Recrystallisation Behavior of Cold Rolled Zr702: Influence of Rolling Direction and Thickness Reduction
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Study of Grain Growth Kinetics in Submicrocrystalline Armco-Iron
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Intercritical Annealing Behaviour of an Ultrafine Grained C-Mn Steel Obtained by Hot Torsion Deformation
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Overview of Texture Evolution during Friction Stir Welding of Stainless Steel Using Crystal Plasticity and EBSD
p.479

Tracing the Goss Orientation during Deformation and Annealing of an FeSi Single Crystal
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Orientation Selection in ULC Steel during Thermally Activated Phenomena Induced by Cold Deformation
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Retention of the ‹001› Fiber Texture for Fe-Si Electric Motor Steels
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Surface Texture Evolution during α-γ-α Transformation in Mn and Al Alloyed Ultra-Low Carbon Steel
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Overview of Texture Evolution during Friction Stir Welding of Stainless Steel Using Crystal Plasticity and EBSD

Abstract:

Texture evolution during friction stir welding of stainless steel was investigated using both predictions by crystal plasticity and EBSD measurements. Two- and three-dimensional Eulerian formulations are used to model friction stir welding. Plane strain deformation is assumed in a two-dimensional model, and an initial uniform texture changes into a torsion texture with monoclinic sample symmetry after deformation. Around the tool pin, the texture strengthens, weakens and restrengthens repeatedly. It is found from a simple circular streamline model that the relative magnitudes of the deformation rate and spin along the streamlines decide textural stability. In order to consider more complicated material behaviors, such as movement along the thickness direction due to a threaded tool pin and a tool shoulder, a three-dimensional Eulerian formulation is also implemented. Materials starting under the tool shoulder travel down to the bottom, producing the longest material streamlines. Those material points are predicted to have stronger texture components than others. EBSD results are compared with the predictions.