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Application of Metamodeling in Parametric Optimization for Emission Reduction of Four-Stroke DI Diesel Engine with Refined Vegetable Oil as Fuel

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Energy and Exergy for Sustainable and Clean Environment, Volume 1

Abstract

The aim of this work is to optimize the injection pressure (Pi), injection timing (Ti), and blend ratio (Bl) of a Kirloskar, air-cooled, single-cylinder, 4.3 kW, 4-stroke direct injection diesel engine, with a compression ratio of 17.5:1, at a constant speed of 1500 rpm at full load condition. The 3-hole nozzle was used to inject the fuel. The free fatty acid methyl esters (FAME) were derived from refined palmolein oil using the transesterification process. The FAME and diesel were blended in different proportions and used as the fuel. Based on the design of experiments, the experiments were designed using statistical analysis like metamodeling and aimed to reduce the emission and increase the performance of the engine. For the study, the injection pressure, injection timing, and blend ratio were the input controlled parameters, and carbon monoxide (CO), hydrocarbon (HC), carbon-dioxide (CO2), and nitrogen oxides (NOx) were output responses. In order to identify the optimal interaction between the input and the output responses, the desirability-based approach was used. The optimal values of the refined palmolein methyl esters were found to be: (i) injection pressure of 232 bar, (ii) injection timing of 23○ BTDC, and (iii) the blend ratio of B29. The optimum values of the CO, HC, CO2, opacity, NOx, BSFC, and BTE were found to be 0.04%, 17 ppm, 6.9%, 25.1%, 1263.07 ppm, 0.0263 kg/Kw h, and 35.59%, respectively.

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Hemanandh, J., Ganesan, S., Devaraj, R., Venkatesan, S.P., Murugan, S., Hemanth, S. (2022). Application of Metamodeling in Parametric Optimization for Emission Reduction of Four-Stroke DI Diesel Engine with Refined Vegetable Oil as Fuel. In: Edwin Geo, V., Aloui, F. (eds) Energy and Exergy for Sustainable and Clean Environment, Volume 1. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-8278-0_11

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  • DOI: https://doi.org/10.1007/978-981-16-8278-0_11

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