High Resolution Orientation Distribution Function

Søren Schmidt; Nicolai Fog Gade-Nielsen; Martin Høstergaard; Bernd Dammann; Ivan G. Kazantsev

doi:10.4028/www.scientific.net/MSF.702-703.536

Paper Titles

Quantifying Damage Accumulation Using State-of-the-Art FFT Method
p.515

Generalized Pole Figures and Stored Energy Distribution Function Obtained by X-Ray Diffraction
p.519

Study of Deformation Twinning and Planar Slip in a TWIP Steel by Electron Channeling Contrast Imaging in a SEM
p.523

EBSD-Based Crystallographic Study on a Ni-Mn-Ga Alloy with Incommensurate 7M Structure
p.530

High Resolution Orientation Distribution Function
p.536

Virtual 3D Microstructures with Specified Characteristics of State Variable Distributions
p.540

Common Region between Euler Subspace and Rodrigues Fundamental Zone for a Cubic Crystal and Orthotropy Sample Symmetry
p.544

Angular Precision of Automated Electron Backscatter Diffraction Measurements
p.548

Intelligent Microscopy for EBSD Applications
p.554

HomeMaterials Science ForumMaterials Science Forum Vols. 702-703High Resolution Orientation Distribution Function

High Resolution Orientation Distribution Function

Abstract:

A new method for reconstructing a High Resolution Orientation Distribution Function (HRODF) from X-ray diffraction data is presented. It is shown that the method is capable of accommodating very localized features, e.g. sharp peaks from recrystallized grains on a background of a texture component from the deformed material. The underlying mathematical formalism supports all crystallographic space groups and reduces the problem to solving a (large) set of linear equations. An implementation on multi-core CPUs and Graphical Processing Units (GPUs) is discussed along with an example on simulated data.