A refined algorithm to simulate latex colloid agglomeration at high ionic strength

被引:0
|
作者
Christophe Henry
K. Karin Norrfors
Michał Olejnik
Muriel Bouby
Johannes Luetzenkirchen
Susanna Wold
Jean-Pierre Minier
机构
[1] Polish Academy of Sciences,Institute of Fluid
[2] KTH Royal Institute of Technology,Flow Machinery
[3] Karlsruhe Institute of Technology (KIT),Applied Physical Chemistry, School of Chemical Science and Engineering
[4] Gdańsk University of Technology,Institute for Nuclear Waste Disposal (INE)
[5] Conjoint Doctoral School of IFFM PAS and GUT,EDF R&D, Mécanique des Fluides
[6] Energie et Environnement,undefined
来源
Adsorption | 2016年 / 22卷
关键词
Agglomeration; Colloid; Parcel tracking; Fractal dimension;
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摘要
This study is focussed on the simulation of particle agglomeration at relatively high ionic strength using a refined stochastic algorithm developed in the context of parcel-tracking approaches. For that purpose, experimental data of both diffusion-limited and reaction-limited aggregation of latex particles were obtained using dynamic light scattering techniques for different initial particle sizes (diameters ranging from 24 to 495 nm) and at various chemical conditions (ionic strength between 0.5 and 2 M with NaCl or CaCl2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document} solutions). The experimental data collected have been compared to numerical results obtained with the refined parcel-tracking algorithm for particle agglomeration which has been developed. Results show that the evolution of the aggregate diameters over time can be properly captured by the present model with the value of the aggregate fractal dimension that is extracted from experimental data.
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页码:503 / 515
页数:12
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