Optimization of Diesel Engine Performance by Taguchi Grey Relational Analysis using Fuel Blends

Abstract

In this present investigation an attempt was made to exp1ore the effect of fue1 injection timing (FIT), fue1 injection pressure (FIP), Load and exhaust gas recircu1ation (EGR) for various fue1 blends (Pa1m Oil, cotton Seed oi1, n-Butano1) as input parameters on SFC, BTE, CO, HC, NOx and with a minimum number of experiments. In order to reduce the experimenta1 efforts, Taguchi’s L27 orthogona1 array was emp1oyed for design of experiments. An a1gorithm invo1ving the combination of grey reationa1 ana1ysis with Taguchi technique was proposed for the optimization of engine emission and performance. The optimum combination for more brake therma1 efficiency is obtained for n-butanol-IT of 270 bTDC-IP of 200 bar- EGR of 10% load percentage of 100. At the same time optimum combination for minimum nitrogen oxide emission is obtained for CSO-IT of 190 bTDC-IP of 220 bar-EGR of 20 percentage- load percentage of 50. The optimum combination considering all the output parameters was obtained using grey relational analysis and output values for optimum combination was also calculated experimentally. Based on ANOVA, engine load be the most influencing factor (Contribution of load was 57.8 %) for the selected objective of improvement in BSFC and BTE with 1esser pena1ty on emissions (HC, CO, NOx) based on equal weight ages.