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An innovative losses model for efficiency map fitting of vaneless and variable vaned radial turbines extrapolating towards extreme off-design conditions

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  • Serrano, José Ramón
  • Arnau, Francisco José
  • García-Cuevas, Luis Miguel
  • Inhestern, Lukas Benjamin

Abstract

Pulsating flow in automotive turbocharger turbines makes it necessary to know performance characteristics in difficult to measure off-design conditions. Physically based extrapolation models can be used to extrapolate towards unmeasured map regions. However, for model parameter fittings common maps have low numbers of measurement points per speedline available. Measurements with different variable geometry turbine (VGT) openings amplify the available data and help to characterize the turbine in a wider aerodynamic range. Nevertheless, physical models able to fit the data of several speeds and VGT positions with the same set of fitting parameters are rare. Thus, a model that is capable of fitting all speeds and VGT positions simultaneously and with the capability of extrapolating reliably towards low pressure ratios, unmeasured speeds, and VGT openings has been developed. The model is based on novel and commonly used loss correlations combined in an innovative way and has been validated in a wide range of pressure ratios towards extreme off-design conditions. By deactivating stator passage effects, the model can also extrapolate efficiency maps of vaneless turbines. The set of loss models is able to reproduce the measured data in a good quality for tested turbines with a very reduced number of fitting coefficients.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:180:y:2019:i:c:p:626-639
    DOI: 10.1016/j.energy.2019.05.062
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    References listed on IDEAS

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    1. 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.
    2. Serrano, José Ramón & Olmeda, Pablo & Arnau, Francisco J. & Dombrovsky, Artem & Smith, Les, 2015. "Turbocharger heat transfer and mechanical losses influence in predicting engines performance by using one-dimensional simulation codes," Energy, Elsevier, vol. 86(C), pages 204-218.
    3. Rajoo, Srithar & Romagnoli, Alessandro & Martinez-Botas, Ricardo F., 2012. "Unsteady performance analysis of a twin-entry variable geometry turbocharger turbine," Energy, Elsevier, vol. 38(1), pages 176-189.
    4. 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.
    5. Serrano, José Ramón & Tiseira, Andrés & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin & Tartoussi, Hadi, 2017. "Radial turbine performance measurement under extreme off-design conditions," Energy, Elsevier, vol. 125(C), pages 72-84.
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    1. Serrano, José Ramón & Piqueras, Pedro & De la Morena, Joaquín & Gómez-Vilanova, Alejandro & Guilain, Stéphane, 2021. "Methodological analysis of variable geometry turbine technology impact on the performance of highly downsized spark-ignition engines," Energy, Elsevier, vol. 215(PB).
    2. Inhestern, Lukas Benjamin & Peitsch, Dieter & Paniagua, Guillermo, 2024. "Flow irreversibility and heat transfer effects on turbine efficiency," Applied Energy, Elsevier, vol. 353(PA).
    3. Xue, Yingxian & Yang, Mingyang & Pan, Lei & Deng, Kangyao & Wu, Xintao & Wang, Cuicui, 2021. "Gasdynamic behaviours of a radial turbine with pulsating incoming flow," Energy, Elsevier, vol. 218(C).
    4. McMullen, Robert & Fleming, Cody, 2024. "Turbocharger turbine map scaling for virtual engine use," Energy, Elsevier, vol. 306(C).

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