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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 another 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

Experimental and regression analysis for multi cylinder diesel engine operated with hybrid fuel blends