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Modeling and extrapolating mass flow characteristics of a radial turbocharger turbine

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  • Zhu, Sipeng
  • Deng, Kangyao
  • Liu, Sheng

Abstract

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.

Suggested Citation

  • Zhu, Sipeng & Deng, Kangyao & Liu, Sheng, 2015. "Modeling and extrapolating mass flow characteristics of a radial turbocharger turbine," Energy, Elsevier, vol. 87(C), pages 628-637.
    • Handle: RePEc:eee:energy:v:87:y:2015:i:c:p:628-637
    DOI: 10.1016/j.energy.2015.05.032
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    References listed on IDEAS

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    7. Serrano, José Ramón & Navarro, Roberto & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin, 2018. "Turbocharger turbine rotor tip leakage loss and mass flow model valid up to extreme off-design conditions with high blade to jet speed ratio," Energy, Elsevier, vol. 147(C), pages 1299-1310.
    8. Sakellaridis, Nikolaos F. & Raptotasios, Spyridon I. & Antonopoulos, Antonis K. & Mavropoulos, Georgios C. & Hountalas, Dimitrios T., 2015. "Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications," Energy, Elsevier, vol. 91(C), pages 952-966.
    9. Liu, Zheng & Copeland, Colin, 2018. "New method for mapping radial turbines exposed to pulsating flows," Energy, Elsevier, vol. 162(C), pages 1205-1222.
    10. Al Jubori, Ayad M. & Al-Dadah, Raya K. & Mahmoud, Saad & Daabo, Ahmed, 2017. "Modelling and parametric analysis of small-scale axial and radial-outflow turbines for Organic Rankine Cycle applications," Applied Energy, Elsevier, vol. 190(C), pages 981-996.
    11. Deligant, Michael & Sauret, Emilie & Danel, Quentin & Bakir, Farid, 2020. "Performance assessment of a standard radial turbine as turbo expander for an adapted solar concentration ORC," Renewable Energy, Elsevier, vol. 147(P3), pages 2833-2841.
    12. Serrano, José Ramón & Arnau, Francisco José & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin, 2019. "An innovative losses model for efficiency map fitting of vaneless and variable vaned radial turbines extrapolating towards extreme off-design conditions," Energy, Elsevier, vol. 180(C), pages 626-639.
    13. Salameh, Georges & Chesse, Pascal & Chalet, David, 2019. "Mass flow extrapolation model for automotive turbine and confrontation to experiments," Energy, Elsevier, vol. 167(C), pages 325-336.
    14. Wei, Jiangshan & Xue, Yingxian & Deng, Kangyao & Yang, Mingyang & Liu, Ying, 2020. "A direct comparison of unsteady influence of turbine with twin-entry and single-entry scroll on performance of internal combustion engine," Energy, Elsevier, vol. 212(C).

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