JFET_V4_N3_RP7
Response Surface Methodology As a Predictive Tool for C.I. Engine Performance and Exhaust Emissions of Methyl Esters of Mahua Oil
B. Sidda Reddy
J. Suresh Kumar
K. Vijaya Kumar Reddy
Journal on Future Engineering and Technology
2230 – 7184
4
3
51
58
Bio-diesel, Emissions, Response Surface model, ANOVA
Biodiesel is one of the most promising alternative fuels for diesel engines because they are potential renewable, nontoxic, biodegradable, clean burning, high lubricity, low environmental impact, derived from vegetable oils and could be used directly in diesel engines without requiring extensive engine modifications. In the present work, the experiments have been conducted on a single cylinder, 4-stroke, Direct Injection constant speed diesel engine with different blends of Mahua Oil Methyl Ester (MOME) by varying the load to investigate the engine performance and exhaust emissions. From the investigation, it is concluded that the performance of Mahua oil methyl esters are good and results indicated that B20 has closer performance to diesel. The response surface models for rake ower (BP), carbon monoxide (co), Hydro arbons (HC), and oxides of nitrogen (NOx) emissions have been developed with the experimental data. The adequacy of the developed models is verified by using co-efficient of determination and analysis of variance (ANOVA) method. The research showed acceptable prediction results for the response surface models. The results showed an average accuracy of 0.997 for brake power, 0.959 for NOx, 0.624 for CO, and 0.61 for HC emissions.
February - April 2009
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