Multi-objective Performance Optimization of Compression Ignition Engine Operated on Mangifera Indica Biodiesel by Applying Taguchi Grey Relational Analysis

摘要: The experimental study has been carried out on compressed ignition engine using Mangifera indica biodiesel for performance optimization Taguchi method and grey relational analysis. This paper presents combined effect of six input parameters viz. compression ratio, fuel injection pressure, injection-nozzle geometry, additive, fraction exhaust gas recirculation in controlling seven important output variables brake specific consumption, thermal efficiency, carbon monoxide (CO), unburn-hydrocarbons (HC), dioxide (CO2), oxides nitrogen (NOx) Smoke. Five levels were selected to each parameter unequal weightage variable. Taguchi’s L 25 orthogonal array applied reducing number experiments. data obtained from the experiments analyzed signal-to-noise ratio analysis obtain optimum combination parameters. nozzle geometry was most influencing whose contribution is 68.73 %. results further confirmed through confirmation test reveals that technique suitable multi-objective problem emission. deviation predicted value grade (GRG) only 0.0189, which 2.6 % value. Besides, GRG improvement with blend 0.286 (68.3 %) compared at initial settings diesel fuel. Indica Biodiesel can be used existing engine, minor modifications.