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Parameter Optimization on the Uniflow Scavenging System of an OP2S-GDI Engine Based on Indicated Mean Effective Pressure (IMEP)

Author

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  • Fu-Kang Ma

    (School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China)

  • Jun Wang

    (School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China)

  • Yao-Nan Feng

    (School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China)

  • Yan-Gang Zhang

    (School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China)

  • Tie-Xiong Su

    (School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China)

  • Yi Zhang

    (School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China)

  • Yu-Hang Liu

    (School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081, China)

Abstract

In this paper, an opposed-piston two-stroke (OP2S) gasoline direct injection (GDI) engine is introduced and its working principles and scavenging process were analyzed. An optimization function was established to optimize the scavenging system parameters, include intake port height, exhaust port height, intake port circumference ratio, the exhaust port circumference ratio and opposed-piston motion phase difference. The effect of the port height on the effective compression ratio and effective expansion ratio were considered, and indicated mean effective pressure (IMEP) was employed as the optimization objective instead of scavenging efficiency. Orthogonal experiments were employed to reduce the calculation work. The effect of the scavenging parameters on delivery ratio, trapping ratio, scavenging efficiency and indicated thermal efficiency were calculated, and the best parameters were also obtained by the optimization function. The results show that IMEP can be used as the optimization objective in the uniflow scavenging system; intake port height is the main factor to the delivery ratio, while exhaust port height is the main to engine trapping ratio, scavenging efficiency and indicated thermal efficiency; exhaust port height is the most important factor to effect the gas exchange process of OP2S-GDI engine.

Suggested Citation

  • Fu-Kang Ma & Jun Wang & Yao-Nan Feng & Yan-Gang Zhang & Tie-Xiong Su & Yi Zhang & Yu-Hang Liu, 2017. "Parameter Optimization on the Uniflow Scavenging System of an OP2S-GDI Engine Based on Indicated Mean Effective Pressure (IMEP)," Energies, MDPI, vol. 10(3), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:368-:d:93080
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Alex G. Young & Aaron W. Costall & Daniel Coren & James W. G. Turner, 2021. "The Effect of Crankshaft Phasing and Port Timing Asymmetry on Opposed-Piston Engine Thermal Efficiency," Energies, MDPI, vol. 14(20), pages 1-20, October.
    2. Yuan Qiao & Li Lin & Wei Zhong & Kaisheng Huang, 2020. "Investigation on the Performance Characteristics of 2-Stroke Heavy Fuel Light Aeroengine (2SHFLA) with Different Fuel Injection Systems: Modeling and Comparative Simulation," Energies, MDPI, vol. 13(19), pages 1-39, October.
    3. Wei Yang & Lei Zhang & Fukang Ma & Dan Xu & Wenjing Ji & Yangyang Zhao & Jianing Zhang, 2022. "Simulation about the Effect of the Height-to-Stroke Ratios of Ports on Power and Emissions in an OP2S Engine Using Diesel/Methanol Blends," Energies, MDPI, vol. 15(8), pages 1-14, April.
    4. Tianyou Pei & Feixue Chen & Shuheng Qiu & Dawei Wu & Weiwei Gao & Zhaoping Xu & Chi Zhang, 2022. "Research on the Intake Port of a Uniflow Scavenging GDI Opposed-Piston Two-Stroke Engine," Energies, MDPI, vol. 15(6), pages 1-15, March.
    5. Borghi, Massimo & Mattarelli, Enrico & Muscoloni, Jarin & Rinaldini, Carlo Alberto & Savioli, Tommaso & Zardin, Barbara, 2017. "Design and experimental development of a compact and efficient range extender engine," Applied Energy, Elsevier, vol. 202(C), pages 507-526.
    6. Ruomiao Yang & Tianfang Xie & Zhentao Liu, 2022. "The Application of Machine Learning Methods to Predict the Power Output of Internal Combustion Engines," Energies, MDPI, vol. 15(9), pages 1-16, April.
    7. Yuan Qiao & Xucheng Duan & Kaisheng Huang & Yizhou Song & Jianan Qian, 2018. "Scavenging Ports’ Optimal Design of a Two-Stroke Small Aeroengine Based on the Benson/Bradham Model," Energies, MDPI, vol. 11(10), pages 1-26, October.

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