Skip to Main content Skip to Navigation
Journal articles

Comparison of the dislocation density obtained by HR-EBSD and X-ray profile analysis

Abstract : Based on the cross-correlation analysis of the Kikuchi diffraction patterns, high-resolution electron backscatter diffraction (HR-EBSD) is a well established method for determining internal stress in the deformed crystalline materials. In many cases, however, the stress values evaluated at different sampling points have a large scatter of the order of GPa. As demonstrated by Wilkinson et al. [Appl. Phys. Lett. 105, 181907 (2014)], this is due to the long tail of the probability distribution (P(sigma)) of the eigen-stress generated by the dislocations present in the system. According to the theoretical investigations of Groma and Bako [Phys. Rev. B 58, 2969 (1998)], the tail of P(sigma) is inverse cubic with a prefactor proportional to the total dislocation density hqi. This paper presents the details of determination from P(sigma) contributing to the proper physical understanding of the method. The values determined on the deformed Cu single crystals show good agreement with the results of X-ray line profile analysis, granting credibility to the EBSD approach. The availability of spatially resolved stress maps opens further perspectives for the evaluation of correlation properties and mesoscale parameters of heterogeneous dislocation structures. Published by AIP Publishing.
Document type :
Journal articles
Complete list of metadata
Contributor : Géraldine Fournier-Moulin Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2017 - 3:21:43 PM
Last modification on : Wednesday, November 3, 2021 - 6:29:28 AM

Links full text




Szilvia Kalácska, Istvan Groma, András Borbély, Péter Dusán Ispánovity. Comparison of the dislocation density obtained by HR-EBSD and X-ray profile analysis. Applied Physics Letters, American Institute of Physics, 2017, 110 (Issue : 9), pp. Article Number : 091912 ⟨10.1063/1.4977569⟩. ⟨emse-01593661⟩



Record views