Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152274
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dc.contributor.authorLindberg, Casper S.en_US
dc.contributor.authorManuputty, Manoel Y.en_US
dc.contributor.authorYapp, Edward Kien Yeeen_US
dc.contributor.authorAkroyd, Jethroen_US
dc.contributor.authorXu, Rongen_US
dc.contributor.authorKraft, Markusen_US
dc.date.accessioned2021-07-28T07:28:47Z-
dc.date.available2021-07-28T07:28:47Z-
dc.date.issued2019-
dc.identifier.citationLindberg, C. S., Manuputty, M. Y., Yapp, E. K. Y., Akroyd, J., Xu, R. & Kraft, M. (2019). A detailed particle model for polydisperse aggregate particles. Journal of Computational Physics, 397, 108799-. https://dx.doi.org/10.1016/j.jcp.2019.06.074en_US
dc.identifier.issn0021-9991en_US
dc.identifier.urihttps://hdl.handle.net/10356/152274-
dc.description.abstractThe mathematical description of a new detailed particle model for polydisperse aggregate particles is presented. An aggregate particle is represented as a collection of overlapping spherical primary particles and the model resolves the composition, radius and position coordinates of each individual primary to form a detailed geometrical description of aggregate morphology. Particles transform under inception, coagulation, surface growth, sintering and coalescence processes. The new particle description is used to model the aerosol synthesis of titanium dioxide ((Figure presented.)) aggregates from titanium tetraisopropoxide (TTIP) precursor. (Figure presented.) particles are formed through collision-limited inception and growth reactions of (Figure presented.) from the gas-phase, produced from the thermal decomposition of TTIP. Coupling between the particle population balance and detailed gas-phase chemistry is achieved by operator splitting. A numerical study is performed by simulating a simple batch reactor test case to investigate the convergence behaviour of key functionals with respect to the maximum number of computational particles and splitting time step. Finally, a lab-scale hot wall reactor is simulated to demonstrate the advantages of a detailed geometrical description. Simulated particle size distributions were in reasonable agreement with experimental data. Further evaluation of the model and a parametric sensitivity study are recommended.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Computational Physicsen_US
dc.rights© 2019 Elsevier Inc. All rights reserved. This paper was published in Journal of Computational Physics and is made available with permission of Elsevier Inc.en_US
dc.subjectEngineering::Chemical engineeringen_US
dc.titleA detailed particle model for polydisperse aggregate particlesen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.contributor.organizationCambridge Centre for Advanced Research and Education in Singapore (CARES)en_US
dc.identifier.doi10.1016/j.jcp.2019.06.074-
dc.description.versionAccepted versionen_US
dc.identifier.scopus2-s2.0-85072579523-
dc.identifier.volume397en_US
dc.identifier.spage108799en_US
dc.subject.keywordsDetailed Particle Modelen_US
dc.subject.keywordsStochasticen_US
dc.description.acknowledgementThis project is supported by the National Research Foundation (NRF), Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. The authors also thank Venator for generous financial support.en_US
item.grantfulltextembargo_20211122-
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