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dc.contributor.authorSoriano, Bruno S.-
dc.contributor.authorSaggese, Chiara-
dc.contributor.authorKim, Keunsoo-
dc.contributor.authorMueller, Michael E.-
dc.contributor.authorChen, Jacqueline H.-
dc.date.accessioned2025-11-21T00:31:09Z-
dc.date.available2025-11-21T00:31:09Z-
dc.date.created2025-11-11-
dc.date.issued2025-10-
dc.identifier.issn1540-7489-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/153561-
dc.description.abstractCombustion emissions from aviation contribute to the formation of condensation trail (contrail) that can lead to the formation of anthropogenic cirrus clouds. Ice particles that form contrails are observed to have a linear correlation with soot particle number density. Synthetic aviation fuels (SAFs) offer a promising route to mitigate the production of soot particles while also increasing energy security. Although studies have focused on combustion and spray behavior, the detailed investigation of soot formation processes for different jet fuels and their impact on models for computational fluid dynamics (CFD) applications is not well understood. Moreover, experimental measurements of soot for canonical flames using Synthetic aviation fuels (SAF) for model validation remain scarce. To address this, we use employed the Lawrence Livermore National Laboratory (LLNL) detailed soot model based on the discrete sectional method. Additionally, we develop two reduced chemical mechanisms for Jet-A and Alcohol-to-Jet (C1) that are suitable for turbulent flame simulations and couple them with the Hybrid Method of Moments (HMOM). The detailed and reduced model frameworks are validated against experimental measurements of soot volume fraction (f) from a counterflow burner experiment previously reported in the literature. Given the good agreement between modeling results and experimental measurements for the (1) spatial distribution of f and (2) the non-linear variation of peak f with strain rate, we further investigate the modeled sub-processes (nucleation, condensation, surface growth, and oxidation) using the LLNL model to analyze the assumptions in the reduced model framework. The results indicate a significant contribution from resonant radicals to the surface growth of soot particles, which are not accounted for in the current implementation of HMOM and could help reconcile soot predictions by the reduced model with observations.-
dc.languageEnglish-
dc.publisherCombustion Institute-
dc.titleAnalysis of soot formation from aviation fuels in laminar counterflow flames-
dc.typeArticle-
dc.identifier.doi10.1016/j.proci.2025.105905-
dc.description.journalClass1-
dc.identifier.bibliographicCitationProceedings of the Combustion Institute, v.41-
dc.citation.titleProceedings of the Combustion Institute-
dc.citation.volume41-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.identifier.wosid001603082300007-
dc.relation.journalWebOfScienceCategoryThermodynamics-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryEngineering, Chemical-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.relation.journalResearchAreaThermodynamics-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalResearchAreaEngineering-
dc.type.docTypeArticle-
dc.subject.keywordPlusINCEPTION-
dc.subject.keywordAuthorSustainable aviation fuel-
dc.subject.keywordAuthorSoot-
dc.subject.keywordAuthorCounterflow-
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