Prediction of an optimum engine response based on different input parameters on common rail direct injection diesel engine: A response surface methodology approach

With increasing growth in industrialization all over the world, the need for reducing harmful pollutants gains signicance, especially in the transportation sector. In this respect, the present study evaluates the effects of different engine operating parameters on the performance and emissions of a CRDI (Common Rail Direct Injection) diesel engine. The main objective of this study was to optimize the emissions as well as effciency parameters to achieve the optimal conguration parameters for the engine using the desirability approach of Response Surface Methodology (RSM) technique, a suitable optimization approach to saving a lot of repetitive testing. It was observed that after RSM modeling, the optimized engine settings of input factors were diesel/linseed blend concentration 8.10%, FIP (Fuel Injection Pressure) 600 bar, EGR (Exhaust Gas Recirculation) level 4.667%, and load on engine 9.33 kg. On these constant hold values, the optimized output torque, BTE (Brake Thermal Effciency), BMEP (Brake Mean Effective Pressure), mechanical effciency, HC (hydrocarbon), and CO2 carbon dioxide were calculated as 20.04 Nm, 26.035%, 3.474 bar, 52.503%, 28.14 ppmv, and 7.319 %vol respectively. The aforementioned predicted values were experimentally validated, and the errors in the predicted values were in a limited range.