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Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation

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...

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Autores principales: Zhang, Hongjia, Sui, Tan, Salvati, Enrico, Daisenberger, Dominik, Lunt, Alexander J. G., Fong, Kai Soon, Song, Xu, Korsunsky, Alexander M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873006/
https://www.ncbi.nlm.nih.gov/pubmed/29543728
http://dx.doi.org/10.3390/ma11030427
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author Zhang, Hongjia
Sui, Tan
Salvati, Enrico
Daisenberger, Dominik
Lunt, Alexander J. G.
Fong, Kai Soon
Song, Xu
Korsunsky, Alexander M.
author_facet Zhang, Hongjia
Sui, Tan
Salvati, Enrico
Daisenberger, Dominik
Lunt, Alexander J. G.
Fong, Kai Soon
Song, Xu
Korsunsky, Alexander M.
author_sort Zhang, Hongjia
collection PubMed
description 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.
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spelling pubmed-58730062018-03-30 Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation Zhang, Hongjia Sui, Tan Salvati, Enrico Daisenberger, Dominik Lunt, Alexander J. G. Fong, Kai Soon Song, Xu Korsunsky, Alexander M. Materials (Basel) Article 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. MDPI 2018-03-15 /pmc/articles/PMC5873006/ /pubmed/29543728 http://dx.doi.org/10.3390/ma11030427 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Hongjia
Sui, Tan
Salvati, Enrico
Daisenberger, Dominik
Lunt, Alexander J. G.
Fong, Kai Soon
Song, Xu
Korsunsky, Alexander M.
Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation
title Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation
title_full Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation
title_fullStr Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation
title_full_unstemmed Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation
title_short Digital Image Correlation of 2D X-ray Powder Diffraction Data for Lattice Strain Evaluation
title_sort digital image correlation of 2d x-ray powder diffraction data for lattice strain evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873006/
https://www.ncbi.nlm.nih.gov/pubmed/29543728
http://dx.doi.org/10.3390/ma11030427
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