Schladitz, KatjaKatjaSchladitzJung, ChristianChristianJungFlenner, S.S.FlennerGodehardt, MichaelMichaelGodehardtGrevelhörster, BenedictBenedictGrevelhörsterGreving, I.I.GrevingKonchakova, N.N.KonchakovaKlein, PeterPeterKleinRedenbach, C.C.RedenbachVisser, P.P.VisserZaninovic, JelenaJelenaZaninovic2024-09-232024-09-232024https://publica.fraunhofer.de/handle/publica/47545110.1016/j.porgcoat.2024.1087622-s2.0-85202590245This 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.enopen access3D image analysisCoating microstructureComputed tomographyGibbs-Laguerre tessellationsLeaching processMicrostructure modellingMicrostructure optimizationSynchrotron radiationGeometric modelling of corrosion inhibitor pigments in active protective coatings based on SR-nano-CT imagesjournal article