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将理论研究的凝胶点pH值、颗粒尺寸、较高的孔隙率等参数与实验参数直接对应,对于凝聚结构的研究来说是一件有巨大挑战性的课题。但是分形模拟可以用一个幂律指数来处理粒子尺度的分布和气凝胶凝胶时的自相似性质。在凝胶过程中,胶体颗粒在高分子溶液骨架中的凝聚具有分形的特性。所以,研究SiO_2气凝胶的胶粒生长过程和内部结构的分形特性对于研究高分子骨架的形成过程具有很重要的意义。本文采用有限扩散集团凝聚模型(DLCA)模拟气凝胶的凝聚过程。所得结果也得到了讨论。
The theoretical study of the gel point pH, particle size, high porosity and other parameters directly correspond with the experimental parameters for the study of the coacervation structure is a huge challenge. However, fractal modeling can use a power law index to handle the particle-scale distribution and the self-similar nature of the airgel gel. During the gel process, the agglomeration of colloidal particles in the framework of the polymer solution has fractal characteristics. Therefore, it is very important to study the growth process and the fractal properties of SiO 2 aerogels in order to study the formation of polymer matrix. In this paper, the finite diffusion group agglomeration model (DLCA) is used to simulate the airgel agglomeration process. The results have also been discussed.