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https://hdl.handle.net/10356/152263
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Boje, Astrid | en_US |
dc.contributor.author | Akroyd, Jethro | en_US |
dc.contributor.author | Sutcliffe, Stephen | en_US |
dc.contributor.author | Kraft, Markus | en_US |
dc.date.accessioned | 2021-08-05T02:04:27Z | - |
dc.date.available | 2021-08-05T02:04:27Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Boje, A., Akroyd, J., Sutcliffe, S. & Kraft, M. (2020). Study of industrial titania synthesis using a hybrid particle-number and detailed particle model. Chemical Engineering Science, 219, 115615-. https://dx.doi.org/10.1016/j.ces.2020.115615 | en_US |
dc.identifier.issn | 0009-2509 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/152263 | - |
dc.description.abstract | We apply a hybrid particle model to study synthesis of particulate titania under representative industrial conditions. The hybrid particle model employs a particle-number description for small particles, and resolves complicated particle morphology where required using a detailed particle model. This enables resolution of particle property distributions under fast process dynamics. Robustness is demonstrated in a network of reactors used to simulate the industrial process. The detailed particle model resolves properties of the particles that determine end-product quality and post-processing efficiency, including primary particle size and degree of aggregate cohesion. Sensitivity of these properties to process design choices is quantified, showing that higher temperature injections produce more sintered particles; more frequent injections narrow the geometric standard deviation of primary particle diameter; and chlorine dilution reduces particle size and size variance. Structures of a typical industrial particle are compared visually with simulated particles, illustrating similar aggregate features with slightly larger primary particles. | en_US |
dc.description.sponsorship | National Research Foundation (NRF) | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Chemical Engineering Science | en_US |
dc.rights | © 2020 Elsevier Ltd. All rights reserved. | en_US |
dc.subject | Engineering::Chemical engineering | en_US |
dc.title | Study of industrial titania synthesis using a hybrid particle-number and detailed particle model | en_US |
dc.type | Journal Article | en |
dc.contributor.school | School of Chemical and Biomedical Engineering | en_US |
dc.contributor.organization | CARES, Cambridge Centre for Advanced Research and Education in Singapore | en_US |
dc.identifier.doi | 10.1016/j.ces.2020.115615 | - |
dc.identifier.scopus | 2-s2.0-85081202170 | - |
dc.identifier.volume | 219 | en_US |
dc.identifier.spage | 115615 | en_US |
dc.subject.keywords | Titanium Dioxide | en_US |
dc.subject.keywords | Detailed Particle Model | en_US |
dc.description.acknowledgement | This project is partly funded by the National Research Foundation (NRF), Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. The authors would also like to thank Venator for financial support. | en_US |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
Appears in Collections: | SCBE Journal Articles |
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