Identification of microscale strain fields from in-situ SEM images of a pearlitic steel using DIC
Preprint, 2014

By using a standard type of DIC framework two series of \textit{in-situ} SEM images (1200x and 2000x) of a pearlitic steel are analyzed. The variations of the intensity field corresponding to the morphological variations (cementite lamellae embedded in a ferrite matrix) of the material are used as a natural speckle. Two traceability indicators are proposed which can be combined to a quality measure of the subsets. These indicators are the foundation of a proposed method that can be used to identify high-quality subsets within a domain of interest. The accuracy of the employed framework is evaluated using synthetically deformed images. Finally, the possibility to correlate the obtained results to variations of the microstructure are investigated.


traceability indicators


Multiscale modeling

natural speckle

in-situ SEM


Erik Lindfeldt

Chalmers, Applied Mechanics, Material and Computational Mechanics

Johan Ahlström

Chalmers, Materials and Manufacturing Technology, Materials Technology

Magnus Hörnqvist

Chalmers, Applied Physics, Materials Microstructure

Ru Peng

Subject Categories

Mechanical Engineering

Areas of Advance


Materials Science


C3SE (Chalmers Centre for Computational Science and Engineering)

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