A closer look at an aggregation model of the Stober process

Kangtaek Lee; Arun N. Sathyagal; Alon V. McCormick

doi:10.1016/S0927-7757(98)00566-4

A closer look at an aggregation model of the Stober process

Kangtaek Lee, Arun N. Sathyagal, Alon V. McCormick

Chemical Engineering and Materials Science

Research output: Contribution to journal › Article › peer-review

101 Scopus citations

Abstract

Using experimentally measured nucleation and ionic strength transients, we confirm that an aggregation model can predict the particle growth profiles of Stober systems for a range of conditions. In addition, we examine the characteristics of the evolving size distribution. Systems giving the largest particles are characterized, after a short transient, by a size distribution wherein the dominant aggregation event is between the freshly generated nucleus and a large aggregate. Copyright (C) 1998 Elsevier Science B.V.

Original language	English (US)
Pages (from-to)	115-125
Number of pages	11
Journal	Colloids and Surfaces A: Physicochemical and Engineering Aspects
Volume	144
Issue number	1-3
DOIs	https://doi.org/10.1016/S0927-7757(98)00566-4
State	Published - Dec 20 1998

Bibliographical note

Funding Information:
We acknowledge the support of the National Science Foundation (CTS-89 10423), the Center for Interfacial Engineering at the University of Minnesota, and the Minnesota Supercomputer Institute.

Keywords

Aggregation
Colloids
Nucleation
Population balance equations
Stober process

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10.1016/S0927-7757(98)00566-4

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AU - Sathyagal, Arun N.

AU - McCormick, Alon V.

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Y1 - 1998/12/20

N2 - Using experimentally measured nucleation and ionic strength transients, we confirm that an aggregation model can predict the particle growth profiles of Stober systems for a range of conditions. In addition, we examine the characteristics of the evolving size distribution. Systems giving the largest particles are characterized, after a short transient, by a size distribution wherein the dominant aggregation event is between the freshly generated nucleus and a large aggregate. Copyright (C) 1998 Elsevier Science B.V.

AB - Using experimentally measured nucleation and ionic strength transients, we confirm that an aggregation model can predict the particle growth profiles of Stober systems for a range of conditions. In addition, we examine the characteristics of the evolving size distribution. Systems giving the largest particles are characterized, after a short transient, by a size distribution wherein the dominant aggregation event is between the freshly generated nucleus and a large aggregate. Copyright (C) 1998 Elsevier Science B.V.

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KW - Colloids

KW - Nucleation

KW - Population balance equations

KW - Stober process

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ER -

A closer look at an aggregation model of the Stober process

Abstract

Bibliographical note

Keywords

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