Monte carlo approach to estimating the photodegradation of polymer coatings |
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Authors: | Brian Hinderliter Stuart Croll |
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Affiliation: | (1) Dept. of Polymers and Coatings, North Dakota State University, 1735 NDSU Research Park Dr., 58105 Fargo, ND |
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Abstract: | The degradation of a polymer coating and predicting the coating lifetime based on physical properties and distribution within
the coating of the polymer binder, pigments, and fillers are economically very important. As technologies advance and allow
for control of coatings at the nanoscale level, methods such as Monte Carlo can be used not only to predict the behavior of
a nanodesigned coating with time but also to design coatings, such as optimizing pigment particle distributions or optimum
hard and soft phase distributions of the binders in multiphase systems for maintaining the desired property with time. Erosion
of the coating surface was simulated using Monte Carlo techniques where terrestrial solar flux is the initiator for polymer
segment cleavage and removal. The impact on the sensitivity of the polymer adjacent to the detached polymer segment can be
increased or decreased in the model based on the chemistry and surface energy of the remaining polymer matrix. Multiple phases
with varying sensitivity to degradation can be modeled. The Monte Carlo generates a statistically similar surface topography
and chemistry of the coating. The results of the Monte Carlo model are compared to measurable properties such as gloss, fracture
toughness, and wetting contact angle, using various published correlations of the property to the surface topology. The simulated
properties change through the life-time of the coating in ways that are consistent with observed behavior. Apparently, complicated
changes in many properties can be described by the repeated application of simple, random processes.
Presented at the 79th Annual Meeting of the Federation of Societies for Coatings Technology, October 28–November 1, 2002,
in New Orleans, LA. |
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Keywords: | Polymer degradation simulation Monte Carlo gloss fracture toughness wetting angle |
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