Tessellation-based stochastic modelling of 3D coating structures imaged with FIB-SEM tomography
Artikel i vetenskaplig tidskrift, 2021
To facilitate printing, coatings are typically applied to paperboard used for packaging to provide a good surface for application. To optimise the performance of the coating, it is important to understand the relationship between the microstructure of the material and its mass transport properties. In this work, three samples of paperboard coating are imaged using combined focused ion beam and scanning electron microscope (FIB-SEM) tomography data appropriately segmented to characterise the internal microstructure. These images are used to inform a parametric, tessellation-based stochastic three-dimensional model intended to mimic the irregular geometry of the particles that can be seen in the coating. Parameters for the model are estimated from the FIB-SEM image data, and we demonstrate good agreement between the real and virtual structures both in terms of geometrical measures and mass transport properties. The development of this model facilitates exploration of the relationship between the structure and its properties.
Gaussian random field
Permeability
Laguerre tessellation
Paperboard coatings
FIB-SEM tomography
Stochastic modelling
Författare
Philip Townsend
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
RISE Research Institutes of Sweden
Torben Nilsson Pingel
Chalmers, Fysik, Nano- och biofysik
Niklas Lorén
RISE Research Institutes of Sweden
Chalmers, Fysik, Nano- och biofysik
Tobias Gebäck
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
Eva Olsson
Chalmers, Fysik, Nano- och biofysik
Aila Särkkä
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
Magnus Röding
RISE Research Institutes of Sweden
Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik
Computational Materials Science
0927-0256 (ISSN)
Vol. 197 110611Ämneskategorier
Bearbetnings-, yt- och fogningsteknik
Annan materialteknik
Medicinsk bildbehandling
DOI
10.1016/j.commatsci.2021.110611