Multi-objective optimization of diesel engine performance, vibration and emission parameters employing blends of biodiesel, hydrogen and cerium oxide nanoparticles with the aid of response surface methodology approach

Abstract

Recent surges in crude oil prices have motivated researchers to find an alternative sustainable fuel called biodiesel from various inedible oils with lower carbo impact on the environment. The research is performed in diesel engine fuelled with blends of biodiesel coupled with cerium oxide nanoparticles and hydrogen content so as to optimize various factors which are responsible for performance, vibration and emission characteristics. Multi-objective optimization is achieved by employing RSM which also examines prime input parameters (engine load, nanoparticle concentration, compression ratio, hydrogen blend percentage and ignition pressure) responsible in varying engine characteristics. Henceforth, blends of Water Hyacinth can be successfully applied in diesel engine with lower environmental impact and enhanced cost effectiveness. Experimentation is performed on the central composite rotating design (CCRD) matrix with 5-level factor. Engine load was applied between 0 and 100%, NPC varied between 0 and 80 ppm, CR ranges between 17 and 19, hydrogen blend percentage varies between 0 and 40% and at a maximum injection pressure of 240 bar. Pareto-optimal conditions achieved for input conditions of 28.68% biofuel blend, 87.88 engine load, 80 ppm NPC, compression ratio of 19 and 194.54 bar infusion pressure were BTE, BSEC, NOx, UBHC and vibration reduction are 33.57%, 0.2550, 461.3002 ppm vol., and 28.08 ppm vol. And 22.21%, respectively.