Automatic processing of an orientation map into a finite element mesh that conforms to grain boundaries

Dancette, Sylvain;Browet, Arnaud;Martin, Guilhem;Willemet, Marie;Delannay, Laurent
(2016) Modelling and Simulation in Materials Science and Engineering — Vol. 24, n° 055014, p. 1-14 (2016)

Files

main-Dancette.pdf
  • Closed Access
  • Adobe PDF
  • 7.42 MB
J59-msms-Sylvain.pdf
  • Restricted Access
  • Adobe PDF
  • 2.97 MB

Details

Authors
  • Dancette, SylvainINSA Lyon
    Author
  • Browet, ArnaudUCLouvain
    Author
  • Martin, GuilhemINP Grenoble
    Author
  • Willemet, MarieUCLouvain
    Author
  • Author
Abstract
A new procedure for image-based finite element models of materials is presented. This method is based on a conformal meshing strategy relying on (i) an efficient graph-based community detection algorithm for image segmentation and feature contour extraction as well as (ii) the generation of selectively refined meshes using the Gmsh suite. It provides a versatile and close to automatic environment for meshing complex microstructures. The procedure is illustrated with polycrystal microstructures obtained by orientation imaging microscopy. Hot deformation of a Duplex stainless steel is investigated based on ex-situ EBSD measurements performed on the same region of interest before and after deformation. A finite element mesh representing the initial microstructure is generated and then used in a crystal plasticity simulation of the plane strain compression. Simulation results and experiments are in relatively good agreement, confirming a large potential for such directly coupled experimental and modeling analyses, where the present image-based meshing procedure facilitates the task greatly.
Affiliations

Citations

Dancette, S., Browet, A., Martin, G., Willemet, M., & Delannay, L. (2016). Automatic processing of an orientation map into a finite element mesh that conforms to grain boundaries. Modelling and Simulation in Materials Science and Engineering, 24(055014), 1-14. https://doi.org/10.1088/0965-0393/24/5/055014 (Original work published 2016)