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A 3-D numerical heat transfer model for silica aerogels based on the porous secondary nanoparticle aggregate structure

机译:基于多孔二级纳米颗粒聚集体结构的二氧化硅气凝胶3-D数值传热模型

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摘要

A 3-D finite volume numerical model based on the porous secondary nanoparticle random aggregate structure was developed to predict the total thermal conductivity of silica aerogels. An improved 3-D diffusion-limited cluster-cluster aggregation (DLCA) method was used to generate an approximately real silica aerogel structure. The model includes the effects of the random and irregular nanoparticle aggregate structure for silica aerogels, solid-gas coupling, combined conduction and radiation, nanoparticle and pore sizes, secondary nanoparticle porosity and contact length between adjacent nanoparticles. The results show that the contact length and porosity of the secondary aerogel nanoparticle significantly affect the aerogel microstructure for a give density and, thus, greatly affect the total thermal conductivity of silica aerogels. The present model is fully validated by experimental results and is much better than the model based on a periodic cubic array of full density primary nanoparticles, especially for higher densities. The minimum total thermal conductivity for various silica aerogel microstructures can be well predicted by the present model for various temperatures, pressures and densities.
机译:建立了基于多孔二级纳米粒子无规聚集结构的3-D有限体积数值模型,以预测二氧化硅气凝胶的总热导率。一种改进的3-D扩散受限的群集-群集聚合(DLCA)方法用于生成近似真实的二氧化硅气凝胶结构。该模型包括二氧化硅气凝胶的随机和不规则纳米颗粒聚集体结构,固-气耦合,传导和辐射组合,纳米颗粒和孔径,次级纳米颗粒的孔隙率以及相邻纳米颗粒之间的接触长度的影响。结果表明,次级气凝胶纳米颗粒的接触长度和孔隙率显着影响气凝胶微观结构的给定密度,因此极大地影响了二氧化硅气凝胶的总导热率。本模型通过实验结果得到了充分验证,并且比基于全密度初级纳米粒子的周期性立方阵列的模型要好得多,尤其是对于更高密度的模型。对于各种温度,压力和密度,本模型可以很好地预测出各种二氧化硅气凝胶微结构的最小总热导率。

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