Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance

Although 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 mismatc...

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Main Authors: Mustafa, Ammar, Martines-Botas, Ricardo, Pesiridis, Apostolos, Chiong, Meng Soon, Rajoo, Srithar
Format: Article
Published: Web Portal ASME (American Society of Mechanical Engineers) 2014
Subjects:
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author Mustafa, Ammar
Martines-Botas, Ricardo
Pesiridis, Apostolos
Chiong, Meng Soon
Rajoo, Srithar
author_facet Mustafa, Ammar
Martines-Botas, Ricardo
Pesiridis, Apostolos
Chiong, Meng Soon
Rajoo, Srithar
author_sort Mustafa, Ammar
collection ePrints
description Although 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.
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spelling utm.eprints-519532018-11-30T06:57:38Z http://eprints.utm.my/51953/ Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance Mustafa, Ammar Martines-Botas, Ricardo Pesiridis, Apostolos Chiong, Meng Soon Rajoo, Srithar TJ Mechanical engineering and machinery Although 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. Web Portal ASME (American Society of Mechanical Engineers) 2014 Article PeerReviewed Mustafa, Ammar and Martines-Botas, Ricardo and Pesiridis, Apostolos and Chiong, Meng Soon and Rajoo, Srithar (2014) Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance. ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2014, 1 . http://dx.doi.org/10.1115/ESDA2014-20392
spellingShingle TJ Mechanical engineering and machinery
Mustafa, Ammar
Martines-Botas, Ricardo
Pesiridis, Apostolos
Chiong, Meng Soon
Rajoo, Srithar
Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
title Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
title_full Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
title_fullStr Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
title_full_unstemmed Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
title_short Assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
title_sort assessment of turbocharger turbine unsteady flow modelling methodology on engine performance
topic TJ Mechanical engineering and machinery
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AT martinesbotasricardo assessmentofturbochargerturbineunsteadyflowmodellingmethodologyonengineperformance
AT pesiridisapostolos assessmentofturbochargerturbineunsteadyflowmodellingmethodologyonengineperformance
AT chiongmengsoon assessmentofturbochargerturbineunsteadyflowmodellingmethodologyonengineperformance
AT rajoosrithar assessmentofturbochargerturbineunsteadyflowmodellingmethodologyonengineperformance