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Radial turbine performance measurement under extreme off-design conditions

Author

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  • Serrano, José Ramón
  • Tiseira, Andrés
  • García-Cuevas, Luis Miguel
  • Inhestern, Lukas Benjamin
  • Tartoussi, Hadi

Abstract

During automotive urban driving conditions and future homologation cycles, automotive radial turbines experience transient conditions, whereby the same operate at very high blade speed ratios and, thus, at very low power outputs. Under those conditions, the turbine power output might not be enough to feed the mechanical power needs of the compressor. Typical fast one-dimensional full engine simulations rely on steady-state performance maps to characterize the turbocharger. Due to the restricting compressor braking power, extreme off-design measurements cannot be obtained in standard gas stands without using an external brake instead of the compressor or without using a motor attached to the turbocharger shaft. Such turbocharger assemblies cause shaft balancing issues inherent to the connection to a brake operating at high rotational speeds or need basic changes of the turbocharger geometry. This paper presents a novel approach for turbine performance map measurements at very low expansion ratio and very low mass flow without the aforementioned issues. The method uses the turbocharger compressor as a centrifugal turbine, providing mechanical power to the shaft and enabling turbine performance measurements from points of very high expansion ratio up to very low pressure ratio. It is even possible to measure at almost zero flow rate in the turbine when it consumes shaft power instead of producing it. This experimental procedure that can be applied to whatever turbocharger produces valuable information for the development and validation of turbine performance models aiming to extrapolate its behaviour at off-design conditions.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:125:y:2017:i:c:p:72-84
    DOI: 10.1016/j.energy.2017.02.118
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    References listed on IDEAS

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    1. 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.
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    4. 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.
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    Citations

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    Cited by:

    1. Andrés Omar Tiseira Izaguirre & Roberto Navarro García & Lukas Benjamin Inhestern & Natalia Hervás Gómez, 2020. "Design and Numerical Analysis of Flow Characteristics in a Scaled Volute and Vaned Nozzle of Radial Turbocharger Turbines," Energies, MDPI, vol. 13(11), pages 1-19, June.
    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. José Galindo & Andrés Tiseira & Roberto Navarro & Lukas Benjamin Inhestern & Juan David Echavarría, 2022. "Numerical Analysis of the Effects of Different Rotor Tip Gaps in a Radial Turbine Operating at High Pressure Ratios Reaching Choked Flow," Energies, MDPI, vol. 15(24), pages 1-30, December.
    4. Kim, Jeong Ho & Kim, Tong Seop, 2019. "A new approach to generate turbine map data in the sub-idle operation regime of gas turbines," Energy, Elsevier, vol. 173(C), pages 772-784.
    5. 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.
    6. 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.
    7. 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.

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