A GREEDY METHOD FOR RECONSTRUCTING POLYCRYSTALS FROM THREE-DIMENSIONAL X-RAY DIFFRACTION DATA

Area of Science:

• Materials Science
• Crystallography
• Computational Methods

Background:

• Polycrystal orientation mapping is crucial for understanding material properties.
• Existing methods for reconstructing orientation maps from 3D X-ray diffraction (3DXRD) data can be computationally intensive or lack precision.

Purpose of the Study:

• To develop and validate an efficient iterative search method for generating accurate orientation maps from 3DXRD data.
• To improve upon existing reconstruction techniques by enhancing data consistency and incorporating prior information.

Main Methods:

• An iterative algorithm was designed to refine orientation maps.
• A forward model simulates detector pixel intensities based on current orientation estimates.
• The method identifies discrepancies between experimental and simulated data to guide iterative updates.

Main Results:

• The proposed iterative method effectively reconstructs orientation maps.
• It demonstrates superiority over the previously published forward projection Monte Carlo optimization technique.
• Validation was performed using simulated 3DXRD data.

Conclusions:

• The novel iterative search method provides a robust approach for orientation mapping in polycrystals.
• This technique offers improved accuracy and efficiency for analyzing 3DXRD data.
• The findings have implications for materials characterization and microstructure analysis.