Digital image correlation of 2D X-ray powder diffraction data for lattice strain evaluation

Hongjia Zhang, Tan Sui, Enrico Salvati, Dominik Daisenberger, Alexander J.G. Lunt, Kai Soon Fong, Xu Song, Alexander M. Korsunsky

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)
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High energy 2D X-ray powder diffraction experiments are widely used for lattice strain measurement. The 2D to 1D conversion of diffraction patterns is a necessary step used to prepare the data for full pattern refinement, but is inefficient when only peak centre position information is required for lattice strain evaluation. The multi-step conversion process is likely to lead to increased errors associated with the 'caking' (radial binning) or fitting procedures. A new method is proposed here that relies on direct Digital Image Correlation analysis of 2D X-ray powder diffraction patterns (XRD-DIC, for short). As an example of using XRD-DIC, residual strain values along the central line in a Mg AZ31B alloy bar after 3-point bending are calculated by using both XRD-DIC and the conventional 'caking' with fitting procedures. Comparison of the results for strain values in different azimuthal angles demonstrates excellent agreement between the two methods. The principal strains and directions are calculated using multiple direction strain data, leading to full in-plane strain evaluation. It is therefore concluded that XRD-DIC provides a reliable and robust method for strain evaluation from 2D powder diffraction data. The XRD-DIC approach simplifies the analysis process by skipping 2D to 1D conversion, and opens new possibilities for robust 2D powder diffraction data analysis for full in-plane strain evaluation.

Original languageEnglish
Article number427
Issue number3
Publication statusPublished - 15 Mar 2018


  • 2D X-ray powder diffraction
  • 3-point bending
  • Digital Image Correlation
  • Strainmeasurement

ASJC Scopus subject areas

  • Materials Science(all)


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