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)
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 an...
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doaj-103040da1db242958240f49e621867da2021-09-21T04:09:56ZengElsevierEnergy Conversion and Management: X2590-17452021-09-0111100091Effect 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)Mani Ghanbari0Lotfali Mozafari-Vanani1Masoud Dehghani-Soufi2Ahmad Jahanbakhshi3Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering, Technical and Vocational University (TVU), Tehran, Iran; Corresponding author.Department of Automotive, Faculty of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, IranDepartment of Agrotechnology, College of Abouraihan, University of Tehran, Tehran, IranDepartment of Biosystems Engineering, University of Mohaghegh Ardabili, Ardabil, IranIn 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.http://www.sciencedirect.com/science/article/pii/S2590174521000167IC enginePerformanceExhaust emissionNanoparticleBiodieselResponse surface methodology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mani Ghanbari Lotfali Mozafari-Vanani Masoud Dehghani-Soufi Ahmad Jahanbakhshi |
spellingShingle |
Mani Ghanbari Lotfali Mozafari-Vanani Masoud Dehghani-Soufi Ahmad Jahanbakhshi 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) Energy Conversion and Management: X IC engine Performance Exhaust emission Nanoparticle Biodiesel Response surface methodology |
author_facet |
Mani Ghanbari Lotfali Mozafari-Vanani Masoud Dehghani-Soufi Ahmad Jahanbakhshi |
author_sort |
Mani Ghanbari |
title |
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) |
title_short |
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) |
title_full |
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) |
title_fullStr |
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) |
title_full_unstemmed |
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) |
title_sort |
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) |
publisher |
Elsevier |
series |
Energy Conversion and Management: X |
issn |
2590-1745 |
publishDate |
2021-09-01 |
description |
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. |
topic |
IC engine Performance Exhaust emission Nanoparticle Biodiesel Response surface methodology |
url |
http://www.sciencedirect.com/science/article/pii/S2590174521000167 |
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