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

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

Energy, 2020, vol. 211, issue C

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.

Keywords: Low-speed diesel engine; Fuel system; Fuel injection quantity; Response surface prediction model; Significance analysis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:211:y:2020:i:c:s0360544220320533

DOI: 10.1016/j.energy.2020.118946

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