Prediction of an optimum engine response based on various input parameters on common rail direct injection diesel engine- A Response Surface Methodology Approach

Abstract

As there is a growth in industrialization globally, the reduction of harmful pollutants is of considerable significance, especially in the transportation sector. In this paper, the impacts of various engine operating parameters are investigated on the performance and emissions of a CRDI (common rail direct injection) diesel engine. The primary aim of this study is to optimize emissions and efficiency parameters to achieve the optimal configuration parameters for the engine by employing the desirability approach of RSM (response surface methodology) techniques which is a suitable optimization approach that can save a lot of repetitive testing. After RSM modelling it was observed that the optimized engine settings of input factors are diesel/linseed blend concentration 8.10%, FIP (fuel injection pressure) 600 bar, EGR (exhaust gas recirculation) level 4.667%, and load on engine 9.33kg. On these constant hold values, the optimized output torque, BTE (brake thermal efficiency), BMEP (brake mean effective pressure), mechanical efficiency, HC (hydrocarbon), and CO2 carbon dioxide have obtained 20.04 Nm, 26.035%, 3.474 bar, 52.503%, 28.14ppmv, and 7.319 %vol. respectively. Aforesaid predicted values were validated experimentally and errors in predicted values are in a limited range.