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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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    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.
    2. Ding, Zhanming & Zhuge, Weilin & Zhang, Yangjun & Chen, Hua & Martinez-Botas, Ricardo & Yang, Mingyang, 2017. "A one-dimensional unsteady performance model for turbocharger turbines," Energy, Elsevier, vol. 132(C), pages 341-355.
    3. Chen Xu & Shihao Wang & Yijun Mao, 2022. "Numerical Study of Porous Treatments on Controlling Flow around a Circular Cylinder," Energies, MDPI, vol. 15(6), pages 1-20, March.
    4. Cai, Liuxi & Xiao, Junfeng & Wang, Shunsen & Gao, Song & Duan, Jingyao & Mao, Jingru, 2017. "Gas-particle flows and erosion characteristic of large capacity dry top gas pressure recovery turbine," Energy, Elsevier, vol. 120(C), pages 498-506.
    5. Ghobadian, B. & Rahimi, H. & Nikbakht, A.M. & Najafi, G. & Yusaf, T.F., 2009. "Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network," Renewable Energy, Elsevier, vol. 34(4), pages 976-982.
    6. Galindo, J. & Fajardo, P. & Navarro, R. & García-Cuevas, L.M., 2013. "Characterization of a radial turbocharger turbine in pulsating flow by means of CFD and its application to engine modeling," Applied Energy, Elsevier, vol. 103(C), pages 116-127.
    7. Luján, José Manuel & Serrano, José Ramon & Piqueras, Pedro & Diesel, Bárbara, 2019. "Turbine and exhaust ports thermal insulation impact on the engine efficiency and aftertreatment inlet temperature," Applied Energy, Elsevier, vol. 240(C), pages 409-423.
    8. Jaewoo Chung & Siwon Lee & Namho Kim & Beumho Lee & Deokjin Kim & Seunghyun Choi & Giyong Kim, 2019. "Study on the Effect of Turbine Inlet Temperature and Backpressure Conditions on Reduced Turbine Flow Rate Performance Characteristics and Correction Method for Automotive Turbocharger," Energies, MDPI, vol. 12(20), pages 1-20, October.
    9. Ko, Jinyoung & Jin, Dongyoung & Jang, Wonwook & Myung, Cha-Lee & Kwon, Sangil & Park, Simsoo, 2017. "Comparative investigation of NOx emission characteristics from a Euro 6-compliant diesel passenger car over the NEDC and WLTC at various ambient temperatures," Applied Energy, Elsevier, vol. 187(C), pages 652-662.
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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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