EXPERIMENTAL AND REGRESSION ANALYSIS FOR MULTI CYLINDER DIESEL ENGINE OPERATED WITH HYBRID FUEL BLENDS

The purpose of this research work is to build a multiple linear regression model for the characteristics of multicylinder diesel engine using multicomponent blends (diesel-pungamia methyl ester-ethanol) as fuel. Nine blends were tested by varying diesel (100 to 10% by vol.), biodiesel (80 to 10% by vol.), and keeping ethanol as 10% constant. The brake thermal efficiency, smoke, oxides of nitrogen, carbon dioxide, maximum cylinder pressure, angle of maximum pressure, angle of 5% and 90% mass burning were predicted based on load, speed, diesel, and biodiesel percentage. To validate this regression model anoth26.506er multi component fuel comprising diesel-palm methyl ester-ethanol was used in same engine. Statistical analysis was carried out between predicted and experimental data for both fuel. The performance, emission, and combustion characteristics of multi cylinder diesel engine using similar fuel blends can be predicted without any expenses for experimentation.