Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/119700
DC FieldValueLanguage
dc.contributorDepartment of Mechanical Engineering-
dc.creatorWang, F-
dc.creatorAn, L-
dc.creatorChan, TL-
dc.date.accessioned2026-07-07T02:30:53Z-
dc.date.available2026-07-07T02:30:53Z-
dc.identifier.urihttp://hdl.handle.net/10397/119700-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Wang F, An L, Chan TL (2026), 'Numerical investigation on soot particle size distribution in turbulent non-premixed bluff body flames by using soot sectional method and detailed chemistry'. International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 36 No. 3 pp. 1438–1464 is published by Emerald and is available at https://doi.org/10.1108/HFF-04-2025-0286.en_US
dc.subjectBluff bodyen_US
dc.subjectDetailed chemistryen_US
dc.subjectParticle size distributionen_US
dc.subjectSectional methoden_US
dc.subjectTurbulent non-premixed flameen_US
dc.titleNumerical investigation on soot particle size distribution in turbulent non-premixed bluff body flames by using soot sectional method and detailed chemistryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1438-
dc.identifier.epage1464-
dc.identifier.volume36-
dc.identifier.issue3-
dc.identifier.doi10.1108/HFF-04-2025-0286-
dcterms.abstractPurpose – This study aims to develop a new numerical framework for modelling soot formation and evolution via the soot particle size distribution (PSD) in turbulent flames.-
dcterms.abstractDesign/methodology/approach – The numerical framework couples an extended soot sectional method with a finite-rate chemistry model based on detailed chemistry, which solves primary particle and soot aggregate number densities in every section with considering turbulence–chemistry interaction. Soot aggregates and gas species are solved simultaneously with considering differential diffusion and mass exchange between soot and chemical species. A dynamic load-balancing approach with a reference mapping model is also incorporated into the numerical framework to accelerate the parallel reacting flow simulations.-
dcterms.abstractFindings – This new numerical framework is comprehensively used to simulate soot formation and evolution in non-premixed turbulent sooting bluff body flames with different bluff body radii. With the bluff body radius increasing, the increased residence time of soot aggregates in the recirculation zone results in a significant shift of the PSD towards the larger soot aggregate side. The PSD shape always remains bimodal distribution at the centerline. Coagulation predominantly occurs at small soot aggregates, while the polycyclic aromatic hydrocarbon condensation and H-abstraction-C2H2-addition surface growth take significant effect at large soot aggregates.-
dcterms.abstractOriginality/value – Overall good quantitative and qualitative agreements of numerical results with available experimental dataset demonstrate that the new numerical framework can accurately predict the flow properties and well capture the significant soot formation and evolution processes.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of numerical methods for heat and fluid flow, 19 Feb. 2026, v. 36, no. 3, p. 1438-1464-
dcterms.isPartOfInternational journal of numerical methods for heat and fluid flow-
dcterms.issued2026-02-19-
dc.identifier.scopus2-s2.0-105028955040-
dc.identifier.eissn0961-5539-
dc.description.validate202607 bcjz-
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG001937/2026-06en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by the research studentship grant and Department of Mechanical Engineering of The Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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