Taguchi‐Grey and ANOVA optimization techniques for engine performance with water in diesel emulsion fuels

In the current study, optimization of the performance parameters like effective power (EP), effective power density (EPD), effective efficiency (EE), and different heat losses with respect to six engine control parameters, that is, emulsion fuel, compression ratio, equivalence ratio, engine speed, residual gas fraction, and fuel injection pressure with three levels of each, were performed. Taguchi method is used to design the L27 orthogonal array, using Minitab17 software. Optimization of individual performance parameters is performed with the signal to noise ratio curve, and Grey analysis is used to optimize the overall output performance parameters. Furthermore, an analysis of variance method is investigated to calculate the contribution percentage of control parameters. The theoretical analysis revealed that the overall optimum response of output parameters is found with 10% blend of water (A3), 18 compression ratio (B3), 0.8 equivalence ratio (C1), 2100 rpm engine speed (D3), 10% residual gas fraction (E3), and 100 kPa fuel injection pressure (F1). The EP and EPD are improved by 9.6% and 9.19%, respectively. Also, an average GRG for optimum response setting coincides with the average GRG value of the initial setting. The resulted optimization models are anticipated to be positive instruction for diesel engine operating parameters.