Open AccessExperimental and regression analysis for multi cylinder diesel engine operated with hybrid fuel blends
Author(s) -
Rajendiran Gopal,
Mayilsamy Kavandappa-Goundar,
Subramanian Ramasamy,
N. Nedunchezhian,
Venkatachalam Ramasamy
Publication year - 2013
Publication title -
thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci130130127g
Subject(s) - diesel fuel , diesel engine , biodiesel , cylinder , smoke , automotive engineering , combustion , thermal efficiency , materials science , diesel cycle , environmental science , internal combustion engine , waste management , petrol engine , chemistry , mechanical engineering , engineering , organic chemistry , catalysis
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
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