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Investigation on fuel injection quantity of low-speed diesel engine fuel system based on response surface prediction model

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  • Lan, Qi
  • Bai, Yun
  • Fan, Liyun
  • Gu, Yuanqi
  • Wen, Liming
  • Yang, Li

Abstract

To analyze the fuel injection quantity of low-speed diesel engine fuel system, an AMESim model was established. Its accuracy was validated by fuel injection quantity and system pressures. Based on D-optimal design of experiment and partial least squares regression, the response surface prediction model of fuel injection quantity was obtained. The R2 and Radj2 of the prediction model are 0.995 and 0.984 respectively and the standardized residuals of the predicted values are distributed between −2 and 2. Meanwhile, the maximum relative error between the calculated and predicted fuel injection quantity is only 3.48%. The predictive capacity of the model is proved. Then the significance analysis upon the structural parameters was performed. The results show that the diameters of fuel plunger and hydraulic piston and the interactions between the diameter of fuel plunger and the diameter of high-pressure fuel tube, between the diameter of hydraulic piston and the pre-tightening force of needle spring are the key factors influencing the fuel injection quantity for their p-values are less than 0.05. Since the p-values of the diameters of high-pressure fuel tube and nozzle hole and the interaction between the two are less than 0.001, they have significant effects on fuel injection quantity.

Suggested Citation

  • Lan, Qi & Bai, Yun & Fan, Liyun & Gu, Yuanqi & Wen, Liming & Yang, Li, 2020. "Investigation on fuel injection quantity of low-speed diesel engine fuel system based on response surface prediction model," Energy, Elsevier, vol. 211(C).
    • Handle: RePEc:eee:energy:v:211:y:2020:i:c:s0360544220320533
    DOI: 10.1016/j.energy.2020.118946
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    References listed on IDEAS

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    1. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
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    5. Babu, D. & Karvembu, R. & Anand, R., 2018. "Impact of split injection strategy on combustion, performance and emissions characteristics of biodiesel fuelled common rail direct injection assisted diesel engine," Energy, Elsevier, vol. 165(PB), pages 577-592.
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    Cited by:

    1. Xinxing Lin & Chonghui Chen & Aofang Yu & Likun Yin & Wen Su, 2021. "Performance Comparison of Advanced Transcritical Power Cycles with High-Temperature Working Fluids for the Engine Waste Heat Recovery," Energies, MDPI, vol. 14(18), pages 1-32, September.
    2. Zhou, Xinyi & Li, Tie & Yi, Ping, 2021. "The similarity ratio effects in design of scaled model experiments for marine diesel engines," Energy, Elsevier, vol. 231(C).
    3. Binyamin Binyamin & Ocktaeck Lim, 2023. "Numerical Analysis of the Structural and Flow Rate Characteristics of the Fuel Injection Pump in a Marine Diesel Engine," Sustainability, MDPI, vol. 15(11), pages 1-20, June.

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