Victor Manuel Trejo Navas ; Ante Buljac ; François Hild ; Thilo F. Morgeneyer ; Marc Bernacki et al. - An examination of local strain fields evolution in ductile cast iron through micromechanical simulations based on 3D imaging

jtcam:7501 - Journal of Theoretical, Computational and Applied Mechanics, April 8, 2022 - https://doi.org/10.46298/jtcam.7501
An examination of local strain fields evolution in ductile cast iron through micromechanical simulations based on 3D imagingArticle

Authors: Victor Manuel Trejo Navas ; Ante Buljac ; François Hild ORCID; Thilo F. Morgeneyer ORCID; Marc Bernacki ORCID; Pierre-Olivier Bouchard ORCID

    Microscopic digital volume correlation (DVC) and finite element precoalescence strain evaluations are compared for two nodular cast iron specimens. Displacement fields from \textit{in-situ} 3D synchrotron laminography images are obtained by DVC. Subsequently the microstructure is explicitely meshed from the images considering nodules as voids. Boundary conditions are applied from the DVC measurement. Image segmentation-related uncertainties are taken into account and observed to be negligible with respect to the differences between strain levels. Macroscopic as well as local strain levels in coalescing ligaments between voids nucleated at large graphite nodules are compared. Macroscopic strain levels are consistently predicted. A very good agreement is observed for one of the specimens, while the strain levels for the second specimen presents some discrepancies. Limitations of the modeling and numerical framework are discussed in light of these differences. A discussion of the use of strain as coalescence indicator is initiated.


    Published on: April 8, 2022
    Accepted on: March 4, 2022
    Submitted on: May 21, 2021
    Keywords: Condensed Matter - Materials Science,Computer Science - Computational Engineering, Finance, and Science
    Funding:
      Source : OpenAIRE Graph
    • Understanding, observation, modelling and simulation of ductile damage mechanisms; Funder: French National Research Agency (ANR); Code: ANR-14-CE07-0034

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