Publication:
A methodology to assess mixer performance for selective catalyst reduction application in hot air gas burner

Simple item page
dc.contributor.authorGÜL, MEHMET ZAFER
dc.contributor.authorsSavci I. H., Gul M. Z.
dc.date.accessioned2023-03-13T07:04:11Z
dc.date.available2023-03-13T07:04:11Z
dc.date.issued2022-09-01
dc.description.abstractThe active SCR aftertreatment system is one of the most crucial technology for the NOx reduction of diesel engines. One of the essential parameters of this technology is the urea spray performance on the catalyst.This study presents an experimental and numerical investigation of urea spray behavior used in the heavy-duty diesel engine\"s selective catalytic reduction (SCR) aftertreatment systems. The custom test rig is designed and built to simulate exhaust aftertreatment systems of heavyduty diesel vehicles. Urea injector parameters were observed in this test rig with optic windows for spray and flow visualization. This test rig is available to simulate diesel engines in the sense of exhaust mass flow rate, temperature and spray control unit. The discussion is made about the effects of droplet size of spray and velocity distribution upon flow characterization.A detailed assessment of the numerical model was presented, and validation was carried out for different interest measurement locations. The predicted droplet size distributions, breakup performance, and velocities are numerically and correlated with the experimental data. The validated model is subsequently used to study the urea-flow mixing dynamics to develop a urea mixer numerically. Test results show that smaller droplets enhance the mixing and thus catalyst efficiency. Mixer design performance can be assessed numerically in the droplet size break up based on the developed criteria called mixer performance criteria. Upstream and downstream of the mixer, droplet size can be extracted from the simulation, and different mixer designs can be compared in terms of the breakup performance.(c) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/
dc.identifier.citationSavci I. H., Gul M. Z., "A methodology to assess mixer performance for selective catalyst reduction application in hot air gas burner", ALEXANDRIA ENGINEERING JOURNAL, cilt.61, sa.9, ss.6621-6633, 2022
dc.identifier.doi10.1016/j.aej.2021.12.011
dc.identifier.endpage6633
dc.identifier.issn1110-0168
dc.identifier.issue9
dc.identifier.startpage6621
dc.identifier.urihttps://reader.elsevier.com/reader/sd/pii/S1110016821008115?token=6A1A2D3E0A04EE3C15FC9F9EA60DBB59BC63D4E11D2C68826CE40F5FB28CFE4CFB58A81888DB0D47376958EF57D544EE&originRegion=eu-west-1&originCreation=20230313070107
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1110016821008115
dc.identifier.urihttps://hdl.handle.net/11424/287412
dc.identifier.volume61
dc.language.isoeng
dc.relation.ispartofALEXANDRIA ENGINEERING JOURNAL
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectHarita Mühendisliği-Geomatik
dc.subjectMühendislik ve Teknoloji
dc.subjectGeotechnical Engineering
dc.subjectEngineering and Technology
dc.subjectMÜHENDİSLİK, ÇOK DİSİPLİNLİ
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectENGINEERING, MULTIDISCIPLINARY
dc.subjectENGINEERING
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectGeneral Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectMedia Technology
dc.subjectPhysical Sciences
dc.subjectNOx Reduction
dc.subjectSelective catalyst reduction
dc.subjectSpray
dc.subjectDroplet
dc.subjectUREA
dc.subjectINJECTION
dc.titleA methodology to assess mixer performance for selective catalyst reduction application in hot air gas burner
dc.typearticle
dspace.entity.typePublication
local.avesis.idde49ccbe-dc4b-4f7c-b9d0-414888127a48
local.indexed.atWOS
relation.isAuthorOfPublication16a0d177-8649-458e-87a6-519344c76eff
relation.isAuthorOfPublication.latestForDiscovery16a0d177-8649-458e-87a6-519344c76eff

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
file.pdf
Size:
5.54 MB
Format:
Adobe Portable Document Format
Download

Collections

Research Outputs