Computational study of a radial flow turbine operates under various pulsating flow shapes and amplitudes

Abstract

Radial flow turbines are extensively used in turbocharging technology due to their unique capability of handling a wide range of exhaust gas flow. The pulsating flow nature of the internal combustion engine exhaust gases causes unsteady operation of the turbine stage. This paper presents the impact of the pulsating flow of various characteristics on the performance of a radial flow turbine. A three-dimensional computational fluid dynamic model was coupled with a one-dimensional engine model to study the realistic pulsating flow. Applying square wave pulsating flow showed the highest degree of unsteadiness corresponding to 92.6% maximum mass flow accumulation due to the consecutive sudden changes of the mass flow rates over the entire pulse. Although saw-tooth showed a maximum mass flow accumulation value of 88.9%, the mass flow rates entailed gradual change resulted in the least overall mass flow accumulation over the entire pulse. These two extremes constrained the anticipated performance of the radial flow turbine operates under realistic pulsating flow. Such constraints could develop an operating envelop to predict the performance and optimize radial flow turbines' power extraction under pulsating flow conditions.

Publication DOI: https://doi.org/10.1115/1.4050968
Divisions: College of Engineering & Physical Sciences > Mechanical Engineering & Design
College of Engineering & Physical Sciences > Aston Institute of Urban Technology and the Environment (ASTUTE)
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Institute of Materials Research (AIMR)
College of Engineering & Physical Sciences > Sustainable environment research group
Additional Information: ©2021 ASME
Uncontrolled Keywords: Performance Prediction,CFD simulation,Pulsating flow prediction,Radial turbine efficiency,Turbine modelling,Turbocharger,Energy (miscellaneous),Automotive Engineering
Full Text Link:
Related URLs: https://asmedig ... edFrom=fulltext (Publisher URL)
PURE Output Type: Article
Published Date: 2021-12
Published Online Date: 2021-05-19
Accepted Date: 2021-04-20
Authors: Rezk, Ahmed (ORCID Profile 0000-0002-1329-4146)
Sharma, Sidharth
Barrans, Simon
hossain, A K (ORCID Profile 0000-0002-8713-8058)
Imran, Muhammad (ORCID Profile 0000-0002-3057-1301)

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