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KINETIC MONTE CARLO SIMULATION OF THE ADSORPTION COMPETITION OF EPOXIDE COMPONENTS ON THE ALUMINIUM OXIDE SURFACE

机译:环氧铝表面上环氧化合物吸附竞争的动力学蒙特卡罗模拟

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摘要

In the present work we describe a kinetic Monte-Carlo method (KMC) in the frametvork of the lattice gas model for the simulation of the adsorption in multicomponent systems from a liquid solution. Tlie algorithm is subsequently used for an investigation of the influence of an adhesion promoter additive on tlie adsorption of amine-curing epoxide components on the aluminium oxide surface. The KMC method is coupled to the Metropolis algorithms to accelerate the simulations and take into account effects of various adsorption sites and neighboring adsorbates. An inclusion of tlie bulk diffusion in the simulation scheme allows to study the distribution of components in the solution near the interface. Parameters used in the simulations are reaction barriers and reaction energies for the surface complex formation. They were calculated in previous works by using density functional based tight binding (1-3). Results of the simulations show that the small additions of the adhesion promoter (~ 2 %), which adsorption is more favourable in comparison to other components, lead to the essential increasing of surf ace concentration of adsorbed molecules and as a consequence to the increasing of the adhesive strength. The analysis of simulated adsorption kinetics allows us to evaluate the engineering rules, which can be useful in the optimisation of the adhesive technology.
机译:在本工作中,我们在晶格气模型的框架中描述了动力学蒙特卡洛方法(KMC),用于模拟从液体溶液中多组分系统中的吸附。随后将该算法用于研究增粘剂添加剂对胺固化环氧组分在氧化铝表面上的吸附的影响。 KMC方法与Metropolis算法结合使用,可以加快模拟速度并考虑各种吸附位点和邻近吸附物的影响。在模拟方案中包括体积扩散,可以研究界面附近溶液中组分的分布。在模拟中使用的参数是表面复合物形成的反应势垒和反应能。它们是在以前的工作中通过使用基于密度泛函的紧密结合(1-3)计算得出的。模拟结果表明,少量添加的增粘剂(〜2%)与其他组分相比具有更好的吸附性,从而导致所吸附分子的表面浓度显着增加,并因此增加了粘合强度。对模拟吸附动力学的分析使我们能够评估工程规则,这对优化胶粘剂技术很有用。

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  • 来源
    《Soft Materials》 |2012年第4期|p.235-256|共22页
  • 作者单位

    Computational Materials Engineering, Institute for Minerals Engineering, Center for Computational Engineering Science, Julich-Aachen Research Alliance, RWTH Aachen University, D-52056 Aachen, Germany;

    School of Engineering and Applied Sciences & Department of Physics, Harvard University, Cambridge, Massachusetts, USA;

    BCCMS University Bremen, Bremen, Germany;

    Computational Materials Engineering (CME), Institute for Minerals Engineering, Center for Computational Engineering Science, Julich-Aachen Research Alliance, RWTH Aachen University, Aachen, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    07.05.Tp - computer modelling and simulation; adsorption/adhesion; diffusion PACS: 68.43.-h; kinetic monte-carlo simulation;

    机译:07.05.Tp-计算机建模与仿真;吸附/粘附;扩散PACS:68.43.-h;动力学蒙特卡罗模拟;

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