Monte-Carlo-Simulation-Based, Product-Quality-Focused Analysis Of Nanocoating Curing And Post Curing Process

Abstract

ABSTRACT MONTE CARLO SIMULATION BASED PRODUCT QUALITY ANALYSIS OF POLYMER COATING CURING AND POST CURING By Jianming Zhao May 2017 Advisor:Dr. Yinlun Huang Major: Chemical Engineering Degree: Master of Science To achieve better property of polymer coatings, different categories of nanoparticles are applied before coating’s curing process. However, one of the adverse effects is the change of final property, which leads the difficulty of product quality control. Using mathematical modeling method can actually improve the cost and time to get a prediction of product quality. Still now, different series of models are developed for various purposes. For example, Monte-Carlo simulation suits short-term usage prediction; kinetics simulation suits long-term usage prediction; potential energy simulation suits to model microcosmic particle’s energy change. To solve the difficulty of quality control, Monte-Carlo simulation is used to provide relatively accurate data under given conditions. A series of models are redesigned, based on those developed by Xiao et al. (2009, 2010). From the simulation data, a visualized conversion and final Young’s modulus change can be clearly seen. In this thesis, a linear plot of the general curing process is gained. Monte Carlo simulation methodology is a new method to describe the conversion change. The post-curing process is also simulated, with the contrast of the real data from Yari (2014), the post-curing process and principle can be explained. The effect of the nanoparticle can also be gained in this work. Additionally, with the work of this thesis, people can control the product quality more easily

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