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Aerosol dynamics modeling of silicon nanoparticle formation during silane pyrolysis:a comparison of three solution methods

机译:硅烷热解过程中硅纳米颗粒形成的气溶胶动力学模型:三种溶液方法的比较

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摘要

A numerical model has been developed to predict gas-phase nucleation,growth,and coagulation of silicon nanoparticles formed during thermal decomposition of silane.A detailed chemical kinetic model of particle nucleation was coupled to an aerosol dynamics model that includes particle growth by surface reactions,coagulation with instantaneous coalescence,and convective transport.Solution of the aerosol general dynamic equation was handled by three approaches:(1)the efficient and reasonably accurate method of moments;(2)the quadrature method of moments,which requires no prior assumption of the shape of the particle size distribution;and(3)a computationally more expensive sectional method(SM).The SM includes a conceptually simple and computationally efficient algorithm for treating coagulation that is found to be superior to widely used methods from the literature.All three approaches gave similar results for the evolution of the first few moments of the particle size distribution.The SM was able to capture the bimodal distribution that appears briefly at short residence times due to simultaneous nucleation and coagulation.At longer residence time,only coagulation remains important and both the sectional and moment methods give very similar results as they approach the self-preserving size distribution.
机译:已经开发了一个数值模型来预测在硅烷热分解过程中形成的硅纳米颗粒的气相成核,生长和凝聚。将颗粒成核的详细化学动力学模型与包含表面反应的颗粒生长的气溶胶动力学模型耦合,气溶胶一般动力学方程的求解可通过以下三种方法来解决:(1)有效且合理的矩量法;(2)矩量的正交法,无需事先假设粒径分布的形状;以及(3)计算上更昂贵的截面方法(SM).SM包括概念上简单且计算效率高的凝结处理算法,该算法优于文献中广泛使用的方法。所有这三种方法对于粒度分布的前几个时刻的演化,这些方法给出了相似的结果。由于能够同时捕获成核和凝结,因此能够捕获在短停留时间短暂出现的双峰分布。在更长的停留时间,仅凝结仍然很重要,并且截面和矩量方法在达到自保存尺寸分布时都给出非常相似的结果。

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