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Estimations of bulk geometrically necessary dislocation density using high resolution EBSD.

T J Ruggles1, D T Fullwood

  • 1Department of Mechanical Engineering, Brigham Young University, UT 84602, USA.

Ultramicroscopy
|June 12, 2013
PubMed
Summary
This summary is machine-generated.

This study estimates geometrically necessary dislocation (GND) density using high-resolution electron backscatter diffraction (HR-EBSD) and lattice curvature. This offers a new method for characterizing GNDs in crystalline materials, advancing plasticity understanding.

Keywords:
Continuum dislocation microscopyDislocation densityEBSDNye tensor

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Area of Science:

  • Materials Science
  • Crystallography
  • Solid Mechanics

Background:

  • Geometrically necessary dislocations (GNDs) are critical for understanding material plasticity.
  • Electron backscatter diffraction (EBSD) is a standard technique for estimating GNDs via lattice orientation.
  • Accurate characterization of GNDs is essential for predicting material behavior.

Purpose of the Study:

  • To present a complementary method for estimating bulk GND density.
  • To utilize local lattice curvature and strain gradients from HR-EBSD for GND assessment.
  • To validate approximations of GND content through simulations.

Main Methods:

  • Employing high-resolution electron backscatter diffraction (HR-EBSD) to measure local lattice curvature and strain gradients.
  • Developing a continuum adaptation of classical dislocation distortion equations.
  • Simulating random GND fields to validate estimation methods.

Main Results:

  • A novel approach to estimate bulk GND density using HR-EBSD derived lattice curvature and strain gradients.
  • Validation of various approximations for GND content through simulated GND fields.
  • Demonstration of HR-EBSD as a powerful tool for GND characterization.

Conclusions:

  • HR-EBSD offers a complementary and potentially more accurate method for quantifying GNDs.
  • The developed continuum model aids in understanding and validating GND density estimations.
  • This work advances the characterization of microstructural features influencing material plasticity.