Modeling coating structure development using a Monte Carlo deposition method Part 1: modeling methodology.Application: A computational model
********** Designing and formulating new coatings with better performance or lower cost is a complex task. A trial-and-error approach is the common industrial practice in formulating coatings. Consequently, there is a need for a more systematic, cost-effective approach that can predict the performance of coated papers and help optimize coating formulations. To that end, we introduce a 3-D particle-deposition model based on a Monte Carlo Monte Carlo (môNtā` kärlō`), town (1982 pop. 13,150), principality of Monaco, on the Mediterranean Sea and the French Riviera. deposition method to simulate coating structure development. Starting from an initial suspended state, the particles are simultaneously deposited under the action of a gravitational grav·i·ta·tion n. 1. Physics a. The natural phenomenon of attraction between physical objects with mass or energy. b. The act or process of moving under the influence of this attraction. 2. and drag field until they form a consolidated structure. Collisional interactions collisional interactions collisions which occur when an electronic target is bombarded with high energy electrons as in x-rays. The collisions result in heat loss. between the particles are taken into account through pair interactions. Furthermore, the model has the potential to account for Brownian motion Brownian motion Any of various physical phenomena in which some quantity is constantly undergoing small, random fluctuations. It was named for Robert Brown, who was investigating the fertilization process of flowers in 1827 when he noticed a “rapid oscillatory , dewatering Dewatering (dē′wöd·ər·iŋ) is the removal of water from solid material or soil by wet classification, centrifugation, filtration, or similar solid-liquid separation processes. rate, and irregular particle shapes. It can predict the effects of particle size and size distribution on porosity, pore size, and surface micro-roughness. This model offers a time-saving and cost-effective way to identify the best pigments or pigment combinations for improving performance or reducing coating costs. Experiments performed with polydispersed pigment blends have confirmed the validity of the model. S! Vidal, Zou, and Uesaka are with the Pulp and Paper Research Institute of Canada, 570 St.-Jean Blvd., Pointe-Claire, Quebec, Canada H9R 3J9. Email Vidal at dvidal@paprican.ca |
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