Combined concurrent Physical and Chemical model for accelerated weathering damages of polyurethane-based coatings

TL;DR

This paper introduces a combined physical and chemical modeling approach for accelerated weathering of polyurethane coatings, enabling accurate prediction of degradation and failure mechanisms.

Contribution

It presents a novel multi-scale model integrating chemical reactions and physical surface erosion to predict coating degradation under environmental exposure.

Findings

Accurately predicts chemical changes during weathering.

Replicates surface roughness and gloss loss.

Validates predictions with experimental data.

Abstract

Paints and coatings undergo a variety of physical and chemical changes under environmental exposures. Accurate prediction of these changes is important for the applications of coatings. This work presents a novel approach to modeling accelerated weathering of coating by combining concurrent physical and chemical processes. The model integrates key factors influencing coating degradation and employs a multi-scale framework to capture macro-scale physical changes and micro-level chemical transformations. The chemical component/model simulates photo-degradation reactions using kinetic equations, while the physical component uses Monte Carlo simulations where repeated random events develop surface erosion. The surface topography and chemistry of coating is generated statistically through the physical model. The variations in surface topography and chemistry of coating are correlated with the chemical changes from the chemical model, resulting in estimation of both physical and chemical changes in the coating during real accelerated weathering time. Results demonstrate accurate predictions of chemistry changes, surface degradation profiles, roughness, gloss loss, and relative fracture toughness, which are validated successfully with the experimentally available data. This integrated approach provides insight into coating failure mechanisms, enabling accurate service life prediction, and serve as a tool for formulating durable coatings and optimizing testing protocols.