Abstract
Digital Image Correlation (DIC) is used to analyze in-situ obtained SEM images of a pearlitic steel. Rather than using a synthetic speckle the microstructure of the material (cementite lamellae embedded in a ferrite matrix) is used as a natural speckle. The impact of the DIC method parameters on the identified motion (displacements and strains) is studied and it is shown that the method is robust, in the sense of being insensitive to the subset size, when it comes to determining the local subset displacements. However, a sufficiently large subset size is required in order for the local subset strains to converge.
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Acknowledgments
This work has been financially supported by the Swedish Research Council as well as the Areas of Advance in Materials Science and Transport at Chalmers University of Technology which are gratefully acknowledged. The Department of Materials and Manufacturing Technology, Chalmers University of Technology, is acknowledged for providing the experimental equipment used in this study. Furthermore, associate professor Johan Ahlström is acknowledged for fruitful discussions regarding the contents of the present paper.
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Lindfeldt, E., Ekh, M., Cvetskovski, K. et al. Using DIC to Identify Microscale Strain Fields from In-situ SEM Images of a Pearlitic Steel. Exp Mech 54, 1503–1513 (2014). https://doi.org/10.1007/s11340-014-9937-4
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DOI: https://doi.org/10.1007/s11340-014-9937-4