Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9785
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dc.contributor.authorMustafa, A-
dc.contributor.authorMartinez-Botas, RF-
dc.contributor.authorPesiridis, A-
dc.contributor.authorChiong, MS-
dc.contributor.authorRajoo, S-
dc.date.accessioned2015-01-19T09:48:21Z-
dc.date.available2014-
dc.date.available2015-01-19T09:48:21Z-
dc.date.issued2014-
dc.identifier.citationASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2014, 2014, 1en_US
dc.identifier.isbn9780791845837-
dc.identifier.urihttp://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1919956-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9785-
dc.descriptionThis article is not permitted to be available for open access by the publisher. For accessing this article, http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1919956en_US
dc.description.abstractAlthough it is well known that the flow entering a turbine of a turbocharger engine is highly unsteady, engine manufacturers prefer to use turbine performance predictions that are based on steady-state performance maps, which inherently lead to inaccuracies in the turbine's behavior and mismatches between turbocharger turbines and engines. The reason for this preference is due to the turbocharger turbine design software that are generally available to engine manufacturers being based on and compatible with steady-state performance maps and this fact led researchers to investigate how the inaccuracies of this steady-state treatment of the turbine can be alleviated. To this effect, this paper investigates how modelling techniques on Ricardo Wave, a 1D gas dynamics engine simulation software, gives rise to more accurate turbine swallowing curve predictions using steady-state maps. In particular, the turbine being investigated is that of Szymko [1], which is a twin nozzleless mixed-flow turbine that is being powered by a 10 litre, 6 cylinder 4 stroke diesel engine with an operating range from 800-2000 RPM for which 800, 1200 and 1600 engine RPM relate to 40, 60 and 80Hz exhaust gas pulse frequencies at the turbine. The main investigation in this paper is to demonstrate the capability of the engine simulation software to deal with unsteady flows and specifically to show the significant effect of accounting for the volute design in the single turbine wheel entry model. The data obtained in this investigation were compared with those of Szymko [1], which offered a validated set of data to compare against.en_US
dc.language.isoenen_US
dc.publisherWeb Portal ASME (American Society of Mechanical Engineers)en_US
dc.titleAssessment of turbocharger turbine unsteady flow modelling methodology on engine performanceen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1115/ESDA2014-20392-
dc.relation.isPartOfASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2014-
dc.relation.isPartOfASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2014-
pubs.volume1-
pubs.volume1-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mechanical, Aerospace and Civil Engineering-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mechanical, Aerospace and Civil Engineering/Mechanical and Aerospace Engineering-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures/Advanced Engines and Biofuels-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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