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Research Papers

Modeling Texture Evolution During Friction Stir Welding of Stainless Steel With Comparison to Experiments

[+] Author and Article Information
Jae-Hyung Cho

 Korea Institute of Materials Science, Changwon, Kyungnam, South Korea

Paul R. Dawson

Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853

J. Eng. Mater. Technol 130(1), 011007 (Dec 21, 2007) (12 pages) doi:10.1115/1.2816902 History: Received May 22, 2007; Revised October 04, 2007; Published December 21, 2007

Texture evolution during friction stir welding of stainless steel was investigated using a polycrystal plasticity model together with a three-dimensional, thermomechanically coupled, finite element formulation. The influence of frictional conditions with the tool pin and shoulder on the flow in the through-thickness direction was examined in terms of their impact on the evolving crystallographic texture. Trends in regard to the strengthening and weakening of the texture are discussed in relation to the relative magnitudes of the deformation rate and spin. Finally, the computed textures are compared to electron backscatter diffraction measurements and are discussed with respect to distributions along orientational fibers and the dominant texture components along the fibers.

Copyright © 2008 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

A schematic diagram of the friction stir welding process

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Figure 2

For face-centered cubic crystals, 111 pole figures under (a) pure and (b) simple shear modes of deformation and the locations of the (c) stable and (d) ideal texture components for pure shear and simple shear, respectively. Repeated numbers indicate equivalent poles. See Tables  12 for identification of the poles.

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Figure 3

Boundary conditions and discretized meshes for a FSW model. The numbers specified in (a) display surface planes of the model.

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Figure 4

Final positions of streamlines at the outlet of the Eulerian domain. The horizontal and vertical scales are in millimeters. The sets are labeled S1–S5 and include the streamlines within the associated box. The projected tool position is shown by shading. The extent of the shoulder contact is also indicated.

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Figure 5

Streamlines for Sets S2–S5 points under Case 1 parameters. The x-z views show a 15deg tilted display. The x direction is the WD, the y direction is the transverse direction TD, and the z direction is the ND.

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Figure 6

Predicted 111 pole figures corresponding to the streamlines in Fig. 5 Case 1. The numbers given in the pole figures are the ending points of streamlines in Fig. 4. Contours for pole figures are 0.5, 1, 1.5, 2, 3, 5, 7 10, 15, 20, 30, 40.

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Figure 7

Streamlines for Sets S2–S5 points under Case 2 parameters

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Figure 8

Streamlines for Sets S2–S5 points under Case 3 parameters

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Figure 9

Streamlines for Sets S2–S5 points under Case 4 parameters

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Figure 10

Predicted 111 pole figures corresponding to the streamlines in Fig. 9 (Case 4). The numbers of the pole figures are the ending points of streamlines in Fig. 4. Contours: 0.5, 1, 1.5, 2, 3, 5, 7 10, 15, 20, 30, 40.

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Figure 11

Velocity gradient distributions and texture indices for Streamline 9 in Case 1

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Figure 12

Velocity gradient distributions and texture indices for Streamline 9 in Case 2

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Figure 13

Velocity gradient distributions and texture indices for Streamline 8 of Case 3

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Figure 14

Velocity gradient distributions and texture indices for Streamline 5 of Case 4

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Figure 15

IPF measured across the boundary between the base and weld zone: (a) IPF map, (b) misorientation distribution, and (c) CSL distribution

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Figure 16

Misorientation angle in the base and weld zones computed from the EBSD map of Fig. 1

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Figure 17

111 pole figures measured from the cross section of friction stired plates. ND is the normal direction of the plate, WD the welding direction, and AS the advancing side. (a)–(f) for the regions under the surface. (g)–(l) for the regions in the midplane.

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