Automated serial sectioning methods for rapid collection of 3-D microstructure data
Modeling the recrystallized grain size in single phase materials
3-D simulation of spatial stress distribution in an AZ31 Mg alloy sheet under in-plane compression
A Rate-Sensitive Plasticity-Based Model for Machining of Face-Centered Cubic Single-Crystals-Part I: Model Development
Five-Parameter Grain Boundary Analysis by 3D EBSD of an Ultra Fine Grained CuZr Alloy Processed by Equal Channel Angular Pressing
The 3D grain boundary character distribution (GBCD) of a sample subjected to equal channel angular pressing (ECAP) after eight passes and successive annealing at 650 degrees C for about 10 min is analyzed. The experiments are conducted using a dual beam system, which is a combination of a focused ion beam and a scanning electron microscope to collect a series of electron backscatter diffraction (EBSD) maps of the microstructure (3D EBSD). The data set was aligned and reconstructed to a 3D microstructure. The crystallographic character of the grain boundary planes was determined using three different methods, namely, the line segment method, the stereological method, and the triangular surface mesh method. The line segment and triangular surface mesh methods produce consistent data sets, both yielding approximately a 7\% area fraction of coherent twins. These results starkly contrast that of the statistical stereological method, which produced a 44\% area fraction of coherent twins.
Modeling the viscoplastic micromechanical response of two-phase materials using Fast Fourier Transforms
A viscoplastic approach using the Fast Fourier Transform (FFT) method for obtaining local mechanical response is utilized to study microstructure-property relationships in composite materials. Specifically, three-dimensional, two-phase digital materials containing isotropically coarsened particles surrounded by a matrix phase, generated through a Kinetic Monte Carlo Potts model for Ostwald ripening, are used as instantiations in order to calculate the stress and strain-rate fields under uniaxial tension. The effects of the morphology of the matrix phase, the volume fraction and the contiguity of particles, and the polycrystallinity of matrix phase, on the stress and strain-rate fields under uniaxial tension are examined. It is found that the first moments of the stress and strain-rate fields have a different dependence on the particle volume fraction and the particle contiguity from their second moments. The average stresses and average strain-rates of both phases and of the overall composite have rather simple relationships with the particle volume fraction whereas their standard deviations vary strongly, especially when the particle volume fraction is high, and the contiguity of particles has a noticeable effect on the mechanical response. It is also found that the shape of stress distribution in the BCC hard particle phase evolves as the volume fraction of particles in the composite varies, such that it agrees with the stress field in the BCC polycrystal as the volume of particles approaches unity. Finally, it is observed that the stress and strain-rate fields in the microstructures with a polycrystalline matrix are less sensitive to changes in volume fraction and contiguity of particles.
Strain-Induced Selective Growth in 1.5\% Temper-Rolled Fe similar to 1\%Si
Validating computed grain boundary energies in fcc metals using the grain boundary character distribution
The grain boundary character distribution (GBCD) is a direct measurement that can be determined from a single planar section. Since the GBCD is inversely related to the grain boundary energy distribution, it offers a useful metric for validating grain boundary energy calculations. Comparisons between the measured GBCD and calculated energies for 388 grain boundaries in Al show that, for boundaries with a statistically reliable number of observations, including general, Sigma 3, Sigma 7, Sigma 11 and < 1 1 1 > twist boundaries, the GBCD and calculated grain boundary energy have weighted correlation coefficients of approximately 0.9, reproducing both qualitative and quantitative trends seen in simulations. GBCDs for Ni and Al are positively correlated, as predicted by simulation. By combining GBCD measurements with simulation results, we validate grain boundary energy simulations in both low and high stacking fault energy metals.