Mathematical Modeling of SFC Using RSM for CI Engine Fuled with Soybean Biodiesel and Diesel Blend

Increasing demand of fossile fuel there is need to study a number of renewable sources. In present investigation influence of input parameter such as injection pressure, compression ratio and load on the performance of single cylinder diesel engine fueled with soybean biodiesel and its blend. The test are carried out with three different injection pressure (160, 200, 240 bar), compression ratio (18, 17, 16), load (1, 6, 11) and %of biodiesel (100%, 50%, 0%). This study investigated by Response Surface Methodology to optimize the performance parameter such as break specific fuel consumption (BSFC). A set of experimental runs was established by using a Central Composite Design (CCD) and the response surface method was employed to obtain the regression model for the break specific fuel consumption for different values of input parameter. The individual effects of these parameters and the combined effects of multiple parameters are examined. The experimental results reveal that the soybean biodiesel and its blend provide better engine performance and reduce break specific fuel consumption (BSFC) compared to diesel with little change in input parameter.