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Estimation of microscale strain fields in a pearlitic steel using DIC and in-situ SEM

Erik Lindfeldt (Institutionen för tillämpad mekanik, Material- och beräkningsmekanik) ; Johan Ahlström (Institutionen för material- och tillverkningsteknik, Materialteknologi) ; Magnus Hörnqvist (Institutionen för teknisk fysik, Materialens mikrostruktur ) ; Ru Peng
Proceedings of 14th European Mechanics of Materials Conference - EMMC14 (2014)
[Konferensbidrag, refereegranskat]

In this contribution the Digital Image Correlation (DIC) technique is used to identify strain fields within a pearlitic microstructure from in-situ obtained SEM images. Typically this is done using a synthetic speckle but in this study the intensity field variations, related to the microstructure of pearlite, are used as a natural speckle. As a means to avoid subsets with inadequate information content (in terms of intensity field variations) a tracebility criterion is introduced. This criterion is based on the eigenvalues of the Hessian of the autocorrelation function. A pertaining algorithm, which can be used to identify high quality subsets (in terms of tracebility) within a certain Region Of Interest (ROI), is also presented. By using the obtained irregular subsets grids together with synthetically deformed images the displacement and deformation gradient errors (both local and average) are studied as a function of the applied loading for various subset sizes.

Nyckelord: 2D-DIC, Pearlite, Multiscale modeling, in-situ SEM, natural speckle, traceability indicators

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Denna post skapades 2014-09-16. Senast ändrad 2015-06-12.
CPL Pubid: 202795


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Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Material- och beräkningsmekanik (2005-2017)
Institutionen för material- och tillverkningsteknik, Materialteknologi (2005-2017)
Institutionen för teknisk fysik, Materialens mikrostruktur (2012-2015)


Teknisk mekanik

Chalmers infrastruktur

C3SE/SNIC (Chalmers Centre for Computational Science and Engineering)