A Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN)

Handle URI:
http://hdl.handle.net/10754/617787
Title:
A Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN)
Authors:
Skeen, Scott A.; Manin, Julien; Pickett, Lyle M.; Cenker, Emre; Bruneaux, Gilles; Kondo, Katsufumi; Aizawa, Tets; Westlye, Fredrik; Dalen, Kristine; Ivarsson, Anders; Xuan, Tiemin; Garcia-Oliver, Jose M; Pei, Yuanjiang; Som, Sibendu; Hu, Wang; Reitz, Rolf D.; Lucchini, Tommaso; D'Errico, Gianluca; Farrace, Daniele; Pandurangi, Sushant S.; Wright, Yuri M.; Chishty, Muhammad Aqib; Bolla, Michele; Hawkes, Evatt
Abstract:
The 4th Workshop of the Engine Combustion Network (ECN) was held September 5-6, 2015 in Kyoto, Japan. This manuscript presents a summary of the progress in experiments and modeling among ECN contributors leading to a better understanding of soot formation under the ECN “Spray A” configuration and some parametric variants. Relevant published and unpublished work from prior ECN workshops is reviewed. Experiments measuring soot particle size and morphology, soot volume fraction (fv), and transient soot mass have been conducted at various international institutions providing target data for improvements to computational models. Multiple modeling contributions using both the Reynolds Averaged Navier-Stokes (RANS) Equations approach and the Large-Eddy Simulation (LES) approach have been submitted. Among these, various chemical mechanisms, soot models, and turbulence-chemistry interaction (TCI) methodologies have been considered.
KAUST Department:
Mechanical Engineering Program
Citation:
A Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN) 2016, 9 (2) SAE International Journal of Engines
Publisher:
SAE International
Journal:
SAE International Journal of Engines
Issue Date:
5-Apr-2016
DOI:
10.4271/2016-01-0734
Type:
Article
ISSN:
1946-3944
Sponsors:
The following individuals and funding agencies are acknowledged for their support. The authors from DTU acknowledge the Technical University of Denmark, Danish Strategic Research Council, and MAN Diesel & Turbo University of Wisconsin: Financial support provided by the Princeton Combustion Energy Frontier Research Center. ETH Zurich: Financial support from the Swiss Federal Office of Energy (grant no. SI/500818-01) and the Swiss Competence Center for Energy and Mobility (CCEM project “In-cylinder emission reduction”) is gratefully acknowledged. Argonne National Labs: Work was funded by U.S. DOE Office of Vehicle Technologies, Office of Energy Efficiency and Renewable Energy under Contract No. DE-AC02-06CH11357. We also gratefully acknowledge the computing resources provided on Fusion, a computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory. Sandia National Labs, Combustion Research Facility: Work was supported by the U.S. Department of Energy, Office of Vehicle Technologies. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under contract DEAC04-94AL85000. Chris Carlen and Dave Cicone are gratefully acknowledged for technical assistance. The authors from ANL and SNL also wish to thank Gurpreet Singh and Leo Breton, program managers at U.S. DOE, for their support.
Additional Links:
http://papers.sae.org/2016-01-0734/
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorSkeen, Scott A.en
dc.contributor.authorManin, Julienen
dc.contributor.authorPickett, Lyle M.en
dc.contributor.authorCenker, Emreen
dc.contributor.authorBruneaux, Gillesen
dc.contributor.authorKondo, Katsufumien
dc.contributor.authorAizawa, Tetsen
dc.contributor.authorWestlye, Fredriken
dc.contributor.authorDalen, Kristineen
dc.contributor.authorIvarsson, Andersen
dc.contributor.authorXuan, Tieminen
dc.contributor.authorGarcia-Oliver, Jose Men
dc.contributor.authorPei, Yuanjiangen
dc.contributor.authorSom, Sibenduen
dc.contributor.authorHu, Wangen
dc.contributor.authorReitz, Rolf D.en
dc.contributor.authorLucchini, Tommasoen
dc.contributor.authorD'Errico, Gianlucaen
dc.contributor.authorFarrace, Danieleen
dc.contributor.authorPandurangi, Sushant S.en
dc.contributor.authorWright, Yuri M.en
dc.contributor.authorChishty, Muhammad Aqiben
dc.contributor.authorBolla, Micheleen
dc.contributor.authorHawkes, Evatten
dc.date.accessioned2016-08-01T10:38:28Z-
dc.date.available2016-08-01T10:38:28Z-
dc.date.issued2016-04-05-
dc.identifier.citationA Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN) 2016, 9 (2) SAE International Journal of Enginesen
dc.identifier.issn1946-3944-
dc.identifier.doi10.4271/2016-01-0734-
dc.identifier.urihttp://hdl.handle.net/10754/617787-
dc.description.abstractThe 4th Workshop of the Engine Combustion Network (ECN) was held September 5-6, 2015 in Kyoto, Japan. This manuscript presents a summary of the progress in experiments and modeling among ECN contributors leading to a better understanding of soot formation under the ECN “Spray A” configuration and some parametric variants. Relevant published and unpublished work from prior ECN workshops is reviewed. Experiments measuring soot particle size and morphology, soot volume fraction (fv), and transient soot mass have been conducted at various international institutions providing target data for improvements to computational models. Multiple modeling contributions using both the Reynolds Averaged Navier-Stokes (RANS) Equations approach and the Large-Eddy Simulation (LES) approach have been submitted. Among these, various chemical mechanisms, soot models, and turbulence-chemistry interaction (TCI) methodologies have been considered.en
dc.description.sponsorshipThe following individuals and funding agencies are acknowledged for their support. The authors from DTU acknowledge the Technical University of Denmark, Danish Strategic Research Council, and MAN Diesel & Turbo University of Wisconsin: Financial support provided by the Princeton Combustion Energy Frontier Research Center. ETH Zurich: Financial support from the Swiss Federal Office of Energy (grant no. SI/500818-01) and the Swiss Competence Center for Energy and Mobility (CCEM project “In-cylinder emission reduction”) is gratefully acknowledged. Argonne National Labs: Work was funded by U.S. DOE Office of Vehicle Technologies, Office of Energy Efficiency and Renewable Energy under Contract No. DE-AC02-06CH11357. We also gratefully acknowledge the computing resources provided on Fusion, a computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory. Sandia National Labs, Combustion Research Facility: Work was supported by the U.S. Department of Energy, Office of Vehicle Technologies. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under contract DEAC04-94AL85000. Chris Carlen and Dave Cicone are gratefully acknowledged for technical assistance. The authors from ANL and SNL also wish to thank Gurpreet Singh and Leo Breton, program managers at U.S. DOE, for their support.en
dc.language.isoenen
dc.publisherSAE Internationalen
dc.relation.urlhttp://papers.sae.org/2016-01-0734/en
dc.rightsArchived with thanks to SAE International Journal of Enginesen
dc.titleA Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN)en
dc.typeArticleen
dc.contributor.departmentMechanical Engineering Programen
dc.identifier.journalSAE International Journal of Enginesen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionSandia National Laboratoriesen
dc.contributor.institutionIFPENen
dc.contributor.institutionMeiji Universityen
dc.contributor.institutionTechnical University of Denmarken
dc.contributor.institutionUniversitat Politecnica de Valenciaen
dc.contributor.institutionArgonne National Laboratoryen
dc.contributor.institutionUniversity of Wisconsinen
dc.contributor.institutionPolitecnico di Milanoen
dc.contributor.institutionETH Zurichen
dc.contributor.institutionUniversity of New South Walesen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
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