Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88025
Title: Detailed population balance modelling of TiO 2 synthesis in an industrial reactor
Authors: Boje, Astrid
Akroyd, Jethro
Sutcliffe, Stephen
Edwards, John
Kraft, Markus
Keywords: Titanium Dioxide
Ideal Reactor
Issue Date: 2017
Source: Boje, A., Akroyd, J., Sutcliffe, S., Edwards, J., & Kraft, M. (2017). Detailed population balance modelling of TiO 2 synthesis in an industrial reactor. Chemical Engineering Science, 164, 219-231.
Series/Report no.: Chemical Engineering Science
Abstract: This paper uses a network of ideal flow reactors and a detailed population balance model to study the evolution of the size and shape distributions of pigmentary titanium dioxide, formed under industrial synthesis conditions. The industrial reactor has multiple reactant injections, a tubular working zone in which the exothermic reaction is completed, and a cooling zone. A network of continuously stirred tank reactors is used to model variation in composition around the feeds and plug flow reactors with prescribed temperature gradients are used to describe the working and cooling zones. The quality of the industrial product depends on its morphology, and this is influenced by factors including temperature and throughput. In this paper, a multivariate particle model is accommodated using a stochastic method and the particle morphology is characterised in terms of the distributions of primary and aggregate particle diameters, number of primary particles per particle and neck radii of connected primary particles. Increasing temperature or residence time is shown to produce larger particles. Qualitative similarities are highlighted between such findings and previous studies. The throughput studies are also in qualitative agreement with empirical industrial experience. There is scope for extending and improving the current model; however, it is suggested that insights of this type could be used to inform the design and operation of the industrial process.
URI: https://hdl.handle.net/10356/88025
http://hdl.handle.net/10220/44498
ISSN: 0009-2509
DOI: 10.1016/j.ces.2017.02.019
Rights: © 2017 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Chemical Engineering Science, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.ces.2017.02.019].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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