Sustainability of the polanga biodiesel blends during the application to the diesel engine performance and emission parameters—Taguchi and RSM approach

Abstract

The excessive use of fossil fuels has caused a rapid increase in air pollution all over the world. This alarming situation demands that environment-friendly fuels and their performance must be investigated for the diesel engine. The present study investigates a CI engine fueled with polanga biodiesel for the optimum performance and emission parameters. This study also tries to optimize the input parameters in order to achieve the corresponding optimized engine performance. In the present work, various input parameters such as injection timing and an injection pressure of fuel, different percentage blends of polanga-based biodiesel, and engine load are considered for optimization. The optimized output parameters are corresponding to these input parameters namely thermal efficiency, EGT, Pmax, and UHC emissions. The experiment was conducted on the diesel engine according to the CCRD matrix design. The aforesaid engine's input parameters are found to be optimal at 22.35°bTDC fuel injection timing, 19.27 MPa injection pressure, 23.33% mixing of polanga biodiesel with diesel, at 80% engine load. Optimized and experimental results of the engine responses at optimized engine settings are compared and found within the recommended error range. Keywords Polanga • Engine emissions • Response surface methodology • Taguchi method Abbreviations ASTM American standard test method ANN Artificial neural network B0 Diesel B5 5% Biodiesel blending B10 10% Biodiesel blending B15 15% Biodiesel blending B20 20% Biodiesel blending B30 30% Biodiesel blending BTE Brake thermal efficiency BSFC Brake-specific fuel consumption CCRD Central composite rotating design C.I. Compression ignition CR Compression ratio CO Carbon monoxide

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