Investigation and Development of Novel Biodiesel Blend Using Response Surface Methodology in C. I. Engine

The limited amount of fossil fuels on the earth and the terrifying prediction of material consumption is a warning bell to sustainability issues. The blending of biodiesel leads to reduce the natural burden. The main aim of this study is to investigate the prediction model of specific fuel consumption using the Response Surface method using a Central Composite Design. The engine run trial is reduced due to the technique because of the response surface methodology’s table of readings. Minitab 17, a statistical program, is used for this purpose. Engine performance tests were conducted using a Variable Compression Ratio (VCR) engine with a set compression ratio and a constant speed of 1500 rpm. The transesterification technique was used to create the biodiesel, a unique blend of karanja and jatropha in an equal volume proportion, which was chosen for testing. The engine is operated by a mixture of diesel and biodiesel in different proportions. Three variables were altered for the experiment: blend ratio, injection pressure, and variable load. Blend ratios of 0%, 25%, and 50% by volume with neat diesel were considered. With different loads of 2, 5, and 8 kg, high, medium, and low injection pressures were used. As a result, the experimental findings showed that the output parameter, representing the specific fuel consumption by the Response Surface Method (RSM), correlated with all three input factors. Results were obtained using another mathematical method, namely multiple linear regression, to validate the model. The experimental results were more consistent with the RSM model results.