A Detailed Model for the Sintering of Polydispersed Nanoparticle Agglomerates
A Detailed Model for the Sintering of Polydispersed Nanoparticle Agglomerates
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DOI：
10.1080/02786820903092416
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发表时间：
2009-07
影响因子：
5.2
通讯作者：
Markus Sander;R. West;M. Celnik;M. Kraft
中科院分区：
文献类型：
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作者：
Markus Sander;R. West;M. Celnik;M. Kraft
在这项研究中，使用随机粒子模型研究了纳米粒子的凝结、凝聚和烧结。每个随机粒子由彼此连接的相互作用的多分散初级粒子组成。在模型中，烧结发生在每对相邻的初级粒子之间。这对于初级颗粒尺寸范围变化显着的颗粒来说很重要。烧结时间是从粘性流动模型获得的。该模型使用随机粒子算法求解。颗粒以二叉树的形式表示，其中包含连通性以及烧结程度信息。颗粒根据已知的速率定律形成、凝结、烧结并经历凝结。粒子二叉树以及烧结程度在每个时间步之后根据不同过程的速率进行更新。随机粒子方法使用虚拟跳跃和线性过程延迟技术。将理论结果与 SiO 2 纳米颗粒形成的实验值进行拟合，并呈现计算机生成的 TEM 图片并与实验进行比较。
In this study the coagulation, condensation, and sintering of nanoparticles is investigated using a stochastic particle model. Each stochastic particle consists of interacting polydisperse primary particles that are connected to each other. In the model sintering occurs between each individual pair of neighboring primary particles. This is important for particles in which the range of the size of the primary particles varies significantly. The sintering time is obtained from the viscous flow model. The model is solved using a stochastic particle algorithm. The particles are represented in a binary tree that contains the connectivity as well as the degree of sintering information. Particles are forme, coagulate, sinter, and experience condensation according to known rate laws. The particle binary tree, along with it the degree of sintering, is updated after each time step according to the rates of the different processes. The stochastic particle method uses the technique of fictitious jumps and linear process deferment. The theoretical results are fitted against experimental values for the formation of SiO 2 nanoparticles and computer generated TEM pictures are presented and compared to experiments.