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High altitude performance optimization of diesel engine fueled with biodiesel-methanol blends using response surface methodology

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Abstract

In the present study, the effects of biodiesel-methanol blends on the performance and emissions of diesel engine at an altitude of 2400 m, were investigated experimentally and using response surface methodology (RSM). The RSM models were developed using experimental data. Methanol ratio, injection pressure (IP) and injection timing (IT) were selected as the input parameters, while power output, brake specific energy consumption (BSEC), nitrogen oxides (NOx) and smoke emissions were chosen as the response parameters. The desirability approach of the RSM was used to optimize the methanol ratio and injection system parameters for improved engine performance and lower emissions at high alitiude. The optimum values of input parameters were 95.27 MPa of IP, 15.13 BTDC of IT and 17.32 % methanol ratio, and the corresponding responses of power output, BSEC, NOx and smoke with a high desirability of 0.767 were 23.7 kW, 9.94 MJ/kWh, 7.08 g/kWh NOx and 0.020 g/kWh, respectively.

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Abbreviations

RSM :

Response surface methodology

ANOVA :

Analysis of variance

IP :

Injection pressure

IT :

Injection timing

BSEC :

Brake specific energy consumption

NO x :

Nitrogen oxides

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Acknowledgments

The authors would like to acknowledge the contribution of Project supported by the Graduate Student Innovation Fund Project of Jiangsu Province (KYLX16_0890), China; the Natural Science Foundation of Jiangsu Province (BK20190972), China.

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Correspondence to Huaping Xu.

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Huaping Xu is s currently working as an Associate Professor at the School of Energy and Power Engineering, Jiangsu University of Science and Technology. He received his Ph.D. in Power engineering and engineering Thermophysics from Jiangsu University, Zhenjiang, China. His research interests include fuel spray and atomization, clean combustion and pollutant control.

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Xu, H., Fan, X. High altitude performance optimization of diesel engine fueled with biodiesel-methanol blends using response surface methodology. J Mech Sci Technol 37, 4911–4919 (2023). https://doi.org/10.1007/s12206-023-0844-4

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  • DOI: https://doi.org/10.1007/s12206-023-0844-4

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