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Computer Aided Image Analysis Procedures for Characterizing the stochastic structure of chaotically assembled pigmented coatings
Author(s) -
Kaye Brian H.,
Clark Garry G.
Publication year - 1992
Publication title -
particle and particle systems characterization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 56
eISSN - 1521-4117
pISSN - 0934-0866
DOI - 10.1002/ppsc.19920090122
Subject(s) - cluster analysis , dispersion (optics) , monte carlo method , percolation (cognitive psychology) , fractal , materials science , statistical physics , stochastic process , section (typography) , computer science , optics , biological system , physics , mathematics , artificial intelligence , statistics , mathematical analysis , neuroscience , biology , operating system
New techniques for studying stochastic (random) clustering in paint films and composite materials are discussed. The interpretation of measured levels of clustering from the perspective of percolation theory of fractal systems is discussed. The possibility of increasing the optical efficiency of pigments by interfering with stochastic clustering by means of extender pigment and/or microencapsulation is discussed. The use of intertrack measurements on a section through a paint film to study pigment dispersion efficiency is explored by Monte Carlo Routines and illustrative measurements made on a section through a carbonblack dispersion. The design of an intelligent machine to monitor pigment dispersion in real films is discussed.