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Mass flow extrapolation model for automotive turbine and confrontation to experiments

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  • Salameh, Georges
  • Chesse, Pascal
  • Chalet, David

Abstract

The turbochargers performance maps given by the manufacturer present a narrow range for the turbine mass flow rate which requires extrapolation models. This paper presents a new partly empirical model for radial turbine mass flow rate performance map extrapolation. An experimental measurement of a complete mass flow map is presented. An existing model is used to show the need for a better fitting because the results do not correspond to the values in all the experimental range. The proposed model is done in two steps. The first step is the calculation of the isentropic expansion across an ideal nozzle with four fitting coefficients to take into consideration the effect of the rotational speed, the two stages expansion across a turbine, the friction and the choking. The second step is the calculation of a reversed flow to represent the effect of the centrifugal forces pushing the fluid to the outer radius direction: in this part there are three constants and one variable, the blade speed. No fitting coefficients are used in this part. The final model is the difference between the two parts. The results present a good correlation of the experiment inside and outside the manufacturer’s data map range.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:167:y:2019:i:c:p:325-336
    DOI: 10.1016/j.energy.2018.10.183
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    References listed on IDEAS

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    1. Deligant, M. & Podevin, P. & Descombes, G., 2012. "Experimental identification of turbocharger mechanical friction losses," Energy, Elsevier, vol. 39(1), pages 388-394.
    2. 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.
    3. 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.
    4. Fang, Xiande & Dai, Qiumin & Yin, Yanxin & Xu, Yu, 2010. "A compact and accurate empirical model for turbine mass flow characteristics," Energy, Elsevier, vol. 35(12), pages 4819-4823.
    5. Fang, Xiande & Xu, Yu, 2011. "Development of an empirical model of turbine efficiency using the Taylor expansion and regression analysis," Energy, Elsevier, vol. 36(5), pages 2937-2942.
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    Cited by:

    1. Tregenza, Owen & Olshina, Noam & Hield, Peter & Manzie, Chris & Hulston, Chris, 2022. "A comparison of turbine mass flow models based on pragmatic identification data sets for turbogenerator model development," Energy, Elsevier, vol. 247(C).
    2. Fang, Lide & Liu, Yueyuan & Zheng, Meng & Liu, Xu & Lan, Kang & Wang, Fan & Yan, Xiaoli, 2023. "A new type of velocity averaging tube vortex flow sensor and measurement model of mass flow rate," Energy, Elsevier, vol. 283(C).

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