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Effect of inter-stage phenomena on the performance prediction of two-stage turbocharging systems


Reference:

Avola, C., Copeland, C., Burke, R. and Brace, C., 2017. Effect of inter-stage phenomena on the performance prediction of two-stage turbocharging systems. Energy, 134, pp. 743-756.

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      Official URL:

      https://doi.org/10.1016/j.energy.2017.06.067

      Abstract

      The paper analyses the influence of aero-thermal inter-stage phenomena on the performance prediction of two-stage sequential turbocharging systems. A novel methodology to measure performance of two-stage turbocharging systems into equivalent maps has been implemented and detailed. Investigation of a two-stage sequential turbocharging system has been performed in a steady turbocharger gas-stand, obtaining thermodynamic properties of the complete turbocharging system. The measurement of equivalent maps and the combination of stand-alone HP and LP turbochargers maps have led to the quantification of inter-stage effects and the influence on performance predictions of the two-stage systems. In this study, equivalent two-stage and combined HP and LP stand-alone maps are compared in order to quantify the variation of performance affecting the two-stage system. Specifically, a simplified 1D model of the two-stage system flow path is developed for the investigation. In order to quantify the influence of inter-stage effects, heat correction of the diabatic compressor and turbine maps has been implemented. In conclusion, in comparison to equivalent two-stage maps, combined stand-alone maps predict a significantly higher pressure ratio and efficiency for the compressor system at conditions of low equivalent speed, while the turbine net efficiency is missed by about 10% at elevated corrected mass flow operations.

      Details

      Item Type Articles
      CreatorsAvola, C., Copeland, C., Burke, R. and Brace, C.
      DOI10.1016/j.energy.2017.06.067
      DepartmentsFaculty of Engineering & Design > Mechanical Engineering
      Research Centres & Institutes > Institute for Policy Research
      Research CentresPowertrain & Vehicle Research Centre
      EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
      RefereedYes
      StatusPublished
      ID Code56002

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