Published March 2018 | Version v1
Journal article

Turbocharger turbine rotor tip leakage loss and mass flow model valid up to extreme off-design conditions with high blade to jet speed ratio

  • 1. CMT-Motores Térmicos, Universitat Politècnica de València, Valencia, 46022 (Spain)

Description

Highlights: • Tip leakage flow of radial turbocharger turbines has been analyzed by means of CFD. • Global variable have been validated with experimental results. • Tip leakage model has been developed from Navier Stokes Equations. • The model shows very good agreement with CFD data. • Model shows high consistency and it can be easily used in map extrapolation models. Due to the power consumption restriction of the turbocharger compressor, common turbine maps are rather narrow. To extrapolate them, reliable physical submodels are needed that are valid for broad ranges. Plenty of research has been done referring to tip leakage losses in axial and traditional radial turbomachinery. However, less effort has been put into the tip leakage analysis of radial turbocharger turbines, whose characteristics including high rotational speed and geometry are rather different. Commonly developed tip leakage loss models in radial turbines are mainly based on correlations with the rotational speed, while in axial turbomachinery they are mainly based on blade loading assumptions. Wide range computational fluid dynamics (CFD) data of a medium sized automotive turbine have been used to analyze tip leakage mass flow under extremely diverse running conditions. To be able to fit a model in a broad range of the map, blade loading and rotational speed have to be considered. A novel tip clearance model has been derived from the Navier Stokes Equations. The model owns a dependency on the rotational speed and the blade loading. With this approach CFD data have been fitted in a very good quality to model the tip leakage mass flow rate and tip leakage losses.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2018.01.083

Additional details

Identifiers

DOI
10.1016/j.energy.2018.01.083;
PII
S0360544218301014;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
147
Journal Page Range
p. 1299-1310
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53001081
Subject category
S42: ENGINEERING;
Descriptors DEI
COMPUTERIZED SIMULATION; FLOW MODELS; FLOW RATE; FLUID MECHANICS; NAVIER-STOKES EQUATIONS; ROTORS; TURBINE BLADES; TURBINES; TURBOCHARGERS
Descriptors DEC
COMPRESSORS; DIFFERENTIAL EQUATIONS; EQUATIONS; EQUIPMENT; MACHINERY; MATHEMATICAL MODELS; MECHANICS; PARTIAL DIFFERENTIAL EQUATIONS; SIMULATION; SUPERCHARGERS; TURBOMACHINERY

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.