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A Study of Evaluation Method for Turbocharger Turbine Based on Joint Operation Curve

Author

Listed:
  • Sheng Yin

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Jimin Ni

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Houchuan Fan

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Xiuyong Shi

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Rong Huang

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

Abstract

Turbochargers have evolved with the advancement of engine technology. In this study, we pro-posed a concept of joint operation, based on the operating characteristics of the compressor and turbine. Furthermore, a turbine evaluation method was proposed based on this concept, and an optimization application study of the turbine impeller blade number and turbine casing was con-ducted and verified. The results showed that the performance evaluation method based on the joint point could predict the optimization trend of turbine performance more accurately, the turbine output power optimized based on our new method evidently had advantages over the original turbine, and the joint point showed better overall performance. The original single-entry turbine could be optimized into a 9-blade twin-entry turbine having better response characteristics. The maximum torque of the optimized engine was 5.4% higher than that of the original engine, and the minimum brake specific fuel consumption (BSFC) was reduced by 2.1%. In the low and medium speed operating region, engine torque was increased by up to 3.2% and BSFC was reduced by up to 1.1% compared to the turbine optimized by conventional methods. Hence, the optimization effect of our new method was proven.

Suggested Citation

  • Sheng Yin & Jimin Ni & Houchuan Fan & Xiuyong Shi & Rong Huang, 2022. "A Study of Evaluation Method for Turbocharger Turbine Based on Joint Operation Curve," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9952-:d:886074
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    References listed on IDEAS

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    Cited by:

    1. Rong Huang & Jimin Ni & Houchuan Fan & Xiuyong Shi & Qiwei Wang, 2023. "Investigating a New Method-Based Internal Joint Operation Law for Optimizing the Performance of a Turbocharger Compressor," Sustainability, MDPI, vol. 15(2), pages 1-23, January.

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