Effect of alumina nanoparticles as additive with diesel–biodiesel blends on performance and emission characteristic of a six-cylinder diesel engine using response surface methodology (RSM)
Autor: | Masoud Dehghani-Soufi, Lotfali Mozafari-Vanani, Ahmad Jahanbakhshi, Mani Ghanbari |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Biodiesel
Materials science Renewable Energy Sustainability and the Environment Performance Energy Engineering and Power Technology Diesel engine Engineering (General). Civil engineering (General) Cylinder (engine) law.invention Brake specific fuel consumption Diesel fuel Exhaust emission Fuel Technology Nanoparticle Nuclear Energy and Engineering Response surface methodology law Brake IC engine Composite material TA1-2040 NOx |
Zdroj: | Energy Conversion and Management: X, Vol 11, Iss, Pp 100091-(2021) |
ISSN: | 2590-1745 |
Popis: | In this study, the combined effect of alumina nanoparticles concentration in diesel–biodiesel blended fuels and engine speed on the performance and emission characteristics of a six cylinder, four-stroke diesel engine was investigated. Alumina nanoparticles (40, 80, 120 and 160 ppm) were prepared and added as additive to the diesel–biodiesel blended fuel. A diesel engine was fueled with these blends and operated at different engine speeds (800, 850, 900, 950 and 1000 rpm). The interaction of variables on the emission and performance of the diesel engine was investigated afterwards through response surface methodology (RSM). The maximum values of brake power and torque were obtained as 42.82 kW and 402.8 N.m for nanoparticle concentration of 160 ppm and engine speed of 1000 rpm, respectively. Also, the minimum BSFC, CO and HC were measured as 207.21 gr/kWh, 1.15% and 9%, respectively. The maximum values of CO2 and NOx were recorded as 11.76% and 1899 ppm for nanoparticle concentration of 160 ppm and engine speed of 1000 rpm, respectively. Experimental results showed that alumina nanoparticle is a good addition for diesel–biodiesel blends to improve the performance and decrease the emissions of diesel engine. It was found that the developed mathematical model can be effectively used to predict the engine performance and emission. |
Databáze: | OpenAIRE |
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