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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received April 22, 2018
Accepted June 4, 2018

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Agglomeration characteristics of nano-size TiO2 particles using analytical solution

Jong-Sang Youn SeJoon Park¹ Hyunwook Cho Yong-Won Jung Ki-Joon Jeon^†

Department of Environmental Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 22212, Korea ¹Department of Industrial and Management Engineering, Myongji University, Myongji-ro 116, Cheoin-gu, Yongin-si, Gyeonggi-do 17058, Korea

kjjeon@inha.ac.kr

Korean Journal of Chemical Engineering, September 2018, 35(9), 1948-1953(6), 10.1007/s11814-018-0095-8

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Abstract

We developed equations for nano-sized titanium dioxide (TiO2) particles self preserving time (SPT) lag that combines with agglomerate key parameters such as primary particle size (PPS), geometric standard deviation (GSD) and mass fractal dimension (MFD). A statistical formula has been developed that relies on SPT lag as the key parameter of agglomerates. Finally, this research presents the first analytical solution by integrating these key parameters into one formula, which can be utilized as a handy tool to calculate the time for reaching the asymptotic state.

Keywords

Mass Fractal Dimension Self Preserving Time Agglomerate Nanoparticle Primary Particle Size Geometric Standard Deviation

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