A dynamic model for automated control of directed self-assembly of colloidal particles at low densities

被引:0
|
作者
Nyande, Baggie W. [1 ]
Gao, Yu [1 ]
Lakerveld, Richard [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Chem & Biol Engn, Clear Water Bay, Hong Kong, Peoples R China
来源
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT B | 2019年 / 46卷
关键词
Directed self-assembly; Model-based control; dynamic modelling; dielectrophoresis;
D O I
10.1016/B978-0-12-818634-3.50298-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Directed self-assembly of colloidal particles is a promising route for the fabrication of advanced materials with novel properties. However, the formation of defect-free non-periodic structures is difficult to achieve without active control. Dynamic models can determine optimal input trajectories of manipulated variables during directed self-assembly. This paper presents a dynamic model for the simulation of particle trajectories in a microfluidic device in the presence of an electric field with time-varying properties, which can be used to predict the dynamic development of the particle density distribution. The model is based on first principles and has been experimentally validated at low particle densities. It has great promise to be used for model-based control of directed self-assembly of colloidal particles.
引用
收藏
页码:1783 / 1788
页数:6
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