%0 journal article
%@ 0300-9440
%A Schladitz, K.,Jung, C.,Flenner, S.,Godehardt, M.,Grevelhörster, B.,Greving, I.,Klein, P.,Konchakova, N.,Redenbach, C.,Visser, P.,Zaninović, J.

%D 2024
%J Progress in Organic Coatings
%N 
%P 108762 
%R doi:10.1016/j.porgcoat.2024.108762
%T Geometric modelling of corrosion inhibitor pigments in active protective coatings based on SR-nano-CT images
%U https://doi.org/10.1016/j.porgcoat.2024.108762
 
%X This paper reports on an essential step towards accelerating the development of new, environmentally friendly active protective coatings by structure optimization. The complex microstructure of the pigment particles within a coating have been observed non-destructively in 3D by nano-computed tomography using synchrotron radiation. For the first time, a stochastic geometry model is fitted based on spatial geometric features of the particles observed in the 3D images. The typical cell of a random Gibbs-Laguerre tessellation is used to model the particles' polyhedral shapes as well as the observed joint size and aspect ratio distributions.