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contributor authorYang, Bijie
contributor authorMartinez-Botas, Ricardo
contributor authorXue, Yingxian
contributor authorYang, Mingyang
date accessioned2022-05-08T08:56:56Z
date available2022-05-08T08:56:56Z
date copyright3/3/2022 12:00:00 AM
date issued2022
identifier issn0889-504X
identifier otherturbo_144_7_071012.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284544
description abstractOne-dimensional (1D) modeling is critical for turbomachinery unsteady performance prediction and system response assessment of internal combustion engines. This paper uses a novel 1D modeling (TURBODYNA) and proposes two additional features for the application to a twin-entry turbocharger turbine. Compared to single-entry turbines, twin-entry turbines enhance turbocharger transient response and reduce engine exhaust valve overlap periods. However, out-of-phase high-frequency pulsating pressure waves lead to an unsteady mixing process from the two flows and pose great challenges to traditional 1D modeling. The present work resolves the mixing problem by directly solving mass, momentum, and energy conservation equations during the mixing process instead of applying constant pressure assumption at the limb–rotor joint. Comparisons of TURBODYNA and an experimentally validated CFD suggest that TURBODYNA cannot only provide a very good agreement on turbine performance but also accurately capture unsteady features due to flow field inertial and pressure wave propagation. Levels of accuracy achieved by TURBODYNA have proved superior to traditional 1D modeling on turbine performance and the generality of the current 1D modeling has been explored by extending the application to other turbine featuring distinct characteristics.
publisherThe American Society of Mechanical Engineers (ASME)
titleOne-Dimensional Modeling for Pulsed Flow Twin-Entry Turbine
typeJournal Paper
journal volume144
journal issue7
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4053489
journal fristpage71012-1
journal lastpage71012-11
page11
treeJournal of Turbomachinery:;2022:;volume( 144 ):;issue: 007
contenttypeFulltext


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