Modeling and extrapolating mass flow characteristics of a radial turbocharger turbine
Creators
- 1. Key Laboratory for Power Machinery and Engineering of Ministry of Education, Shanghai Jiao Tong University, Shanghai City 200240 (China)
- 2. China North Engine Research Institute, Datong 037036 (China)
Description
Since the turbocharger turbine plays an important role in determining the engine performance, how to model and extrapolate mass flow characteristics of the turbocharger turbine is very important especially when only a narrow range of turbine data is provided by manufacturers. In this paper, a new mass flow model is proposed based on the physical model of a radial turbine simplified as two nozzles in series. With the ideal nozzle flow equation applied on the turbine stator, the mass flow rate through the turbine can be expressed with three fitted coefficients which have clear physical meanings. Existing empirical and partly empirical models of turbine mass flow characteristics are reviewed and compared with the deduced model in the Matlab software. The results show that considering the number of fitted coefficients and the modeling accuracy, the deduced model performs well in regression analyses conducted with experimental data tested from three radial turbines of different sizes. Also interpolating and extrapolating performances of this new model can match the turbine model in the GT-Power commercial software. Thus this new model is sufficiently robust to model and extrapolate mass flow characteristics of the radial turbocharger turbine at off design operating conditions. - Highlights: • A physical based turbine model of mass flow characteristics is proposed. • Existing turbine mass flow models are reviewed and summarized. • Comparative analyses of the deduced model and existing models are conducted. • Interpolating and extrapolating abilities of the deduced model are evaluated
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2015.05.032Additional details
Identifiers
- DOI
- 10.1016/j.energy.2015.05.032;
- PII
- S0360-5442(15)00613-1;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 87
- Journal Page Range
- p. 628-637
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47022300
- Subject category
- S42: ENGINEERING; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- ACCURACY; COMPUTER CODES; ENGINES; EXPERIMENTAL DATA; FLOW MODELS; FLOW RATE; MASS TRANSFER; NOZZLES; PERFORMANCE; REGRESSION ANALYSIS; REVIEWS; SIMULATION; STATORS; TURBINES; TURBOCHARGERS
- Descriptors DEC
- COMPRESSORS; DATA; DOCUMENT TYPES; EQUIPMENT; INFORMATION; MACHINERY; MATHEMATICAL MODELS; MATHEMATICS; NUMERICAL DATA; STATISTICS; SUPERCHARGERS; TURBOMACHINERY
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.