Literature DB >> 29772417

A consistent full-field integrated DIC framework for HR-EBSD.

T Vermeij1, J P M Hoefnagels2.   

Abstract

A general, transparent, finite-strain Integrated Digital Image Correlation (IDIC) framework for high angular resolution EBSD (HR-EBSD) is proposed, and implemented through a rigorous derivation of the optimization scheme starting from the fundamental brightness conservation equation in combination with a clear geometric model of the Electron BackScatter Pattern (EBSP) formation. This results in a direct one-step correlation of the full field-of-view of EBSPs, which is validated here on dynamically simulated patterns. Strain and rotation component errors are, on average, (well) below 10-5 for small (Eeq=0.05%) and medium (Eeq=0.2%) strain, and below 3×10-5 for large strain (Eeq=1%), all for large rotations up to 10° and 2% image noise. High robustness against poor initial guesses (1° misorientation and zero strain) and typical convergence in 5 iterations is consistently observed for, respectively, image noise up to 20% and 5%. This high accuracy and robustness rivals, when comparing validation on dynamically simulated patterns, the most accurate HR-EBSD algorithms currently available which combine sophisticated filtering and remapping strategies with an indirect two-step correlation approach of local subset ROIs. The proposed general IDIC/HR-EBSD framework lays the foundation for future extensions towards more accurate EBSP formation models or even absolute HR-EBSD.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electron backscatter diffraction; Finite-strain formulation; HR-EBSD; High angular resolution EBSD; High strain accuracy; Integrated DIC; Virtual experiments

Year:  2018        PMID: 29772417     DOI: 10.1016/j.ultramic.2018.05.001

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  1 in total

1.  New levels of high angular resolution EBSD performance via inverse compositional Gauss-Newton based digital image correlation.

Authors:  T J Ruggles; G F Bomarito; R L Qiu; J D Hochhalter
Journal:  Ultramicroscopy       Date:  2018-08-29       Impact factor: 2.689

  1 in total

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