Three-dimensional modeling of the grain boundary misorientation angle distribution based on two-dimensional experimental texture measurements

Experimental and Numerical Investigation of the Role of Grain Boundary Misorientation Angle on the Dislocation–Grain Boundary Interactions

“…However, in order to compute the role of GBMAs on the overall hardening, the neighborhood information should also be incorporated into VPSC. A separately developed algorithm based on a recently proposed model was utilized for this purpose, [13] in order to incorporate the neighborhood information and properly take the dislocation-grain boundary interaction into account. This formulation is not discussed herein, as the details are beyond the scope of the current paper, yet all the information on this formulation can be found in ref.…”

“…[1] An interesting observation is that, despite the success of the current formulations accounting for the texture in predicting the overall deformation response of the material, texture has been mostly incorporated either on a statistical basis or as a means of defining the orientation of grains in the matrix. [1] However, based on both experimental and theoretical evidence, one can argue that certain problems, especially the ones concerning dislocationgrain boundary interactions in ultrafine-grained (UFG) materials, [2][3][4][5][6][7][8][9][10][11][12][13] and lattice misorientations, [14][15][16][17][18] require a more detailed treatment of texture.…”

“…Even though a wealth of experimental results on various UFG materials is available in the literature focusing on the role of LAGBs and HAGBs on the cyclic stability, to the best of the authors' knowledge, the currently existing models fall short of incorporating this influence of HAGBs and LAGBs on the deformation response of UFG alloys. [6][7][8][9][10][11][12][13] Specifically, several approaches to modeling the grain boundarydislocation interactions in UFG materials were presented, yet the analyses were confined to statistical consideration of the phenomenon.…”

Microstructure-based modeling of the impact response of a biomedical niobium–zirconium alloy

“…Furthermore, the experimental data obtained for defining the plastic flow at the microscopic level through crystal plasticity modeling should ideally be obtained under conditions where stability, and thus, the precision of the data can be ensured. 38,39,42 Intermediate strain rates, such as the one utilized in this work, satisfy this requirement, and therefore, the uniaxial deformation experiments featured a strain rate of 5 Â 10 À4 s…”

“…38,40 However, it has been previously demonstrated that the GBMA distribution is also an important element of texture that strongly influences the deformation response especially in the case of UFG materials. [11][12][13][26][27][28]38,42 With this objective, the authors had previously developed an algorithm that constructs a three-dimensional grain neighborhood based on the two-dimensional experimental texture measurements 42 to incorporate the role of GBMA distribution into crystal plasticity. 38 The corresponding results had demonstrated that the incorporation of the GBMA distribution provided more accurate predictions not only for UFG microstructures, but also for CG materials, when predicting the deformation response.…”