Extreme value analysis of tail departure from log-normality in experimental and simulated grain size distributions
Grain size data were taken from four three- and two-dimensional microstructures, including simulated grain growth, thin film and superalloy data sets. Probability plots revealed approximately log-normal distributions for experimental grain size data sets, but with systematic differences in the upper tails. A simulated grain size data set obtained from Potts model growth exhibited strong deviation from log-normality. A peaks-over-threshold analysis was applied to quantify the differences in the upper tails. Potts model simulation of normal grain growth shows the shortest tail, whereas the thin film data showed the longest tail (i.e. closest to log-normal), with an intermediate tail shape in the superalloy.
Quantification of Texture and Microstructure Gradients in Polycrystalline Materials Foreword
Design of Radiation Tolerant Materials Via Interface Engineering
Caught in the act: Grain-switching and quadrijunction formation in annealed aluminum
The strain path dependence of plastic deformation response of AA5754: Experiment and modeling
Plastic Flow and Microstructure Evolution during Thermomechanical Processing of a PM Nickel-Base Superalloy
Evolution of Microstructure and Texture During Deformation and Recrystallization of Heavily Rolled Cu-Cu Multilayer
Back calculation of parent austenite orientation using a clustering approach
Tail Departure of Log-Normal Grain Size Distributions in Synthetic Three-Dimensional Microstructures
Simulation of Grain Growth Under the Effect of Stress
During anisotropic curvature driven grain growth, high-energy grain boundaries are preferentially eliminated, thus leading to interface texture development and a higher population of low energy grain boundaries. However, when stress is introduced as an additional driving force, the dynamics of grain growth change. To model these effects, a three dimensional anisotropic multi- level set model was modified in order to account for the effect of stress field on grain growth. For this mesoscale study, grain boundaries were treated as dislocation structures and their associated net Burgers vectors were calculated using the misorientation information and boundary inclinations. Using these net Burgers vectors and their associated densities, additional forces due to stress field were calculated via the Peach-Koehler equation. Qualitative comparisons of 5 parameter grain boundary character distribution will be carried out in order to analyze the differences in texture evolution during grain growth.