Investigation of the impact of SiO2_Al2O3 nano-composite to biodiesel-diesel fuel on performance and emission of a diesel engine

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Jabraeili Maryam; Pourdarbani Razieh; NAJAFI BAHMAN; Nematlahzadeh Ali

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Journal: FUEL AND COMBUSTION Year:2020 | Volume:13 | Issue:2 Page(s): 25-39

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Title

Investigation of the impact of SiO2_Al2O3 nano-composite to biodiesel-diesel fuel on performance and emission of a diesel engine

Author(s)

Jabraeili Maryam | Pourdarbani Razieh | NAJAFI BAHMAN | Nematlahzadeh Ali | Issue Writer Certificate

Keywords

BiodieselQ1

Neural NetworkQ2

Multilayer PerceptronQ2

Renewable EnergyQ1

Abstract

Biodiesel is one of the clean and Renewable Energy resources that can be a good alternative to fossil fuels. In this study, a Biodiesel (B5) was blended with the diesel. This study was divided into two parts. In the first part, we compared the results of additives of Al2O3, SiO2 and SiO2_Al2O3 nano-composite to Biodiesel fuel on the performance parameters and the emission. In the second part, the performance of Neural Network in predicting performance and emissions was investigated. Initially, adding B5 to diesel fuel was led to reduce CO emissions and fuel consumption, and increase torque and brake power. In the next step, alumina and silica nanoparticles were added separately to the diesel-Biodiesel blend at 30, 60, 90 and 120 ppm. The results showed that SiO2, compared to Al2O3, improved the performance and reduced emissions which resulted in 21. 6% increase in brake power at 90 ppm, 8. 1% decrease in CO2, 56. 16% decrease in CO, 3. 05% decrease in fuel consumption and a very slight increase of 0. 57% and 0. 6% in NOX and NO, respectively. Then SiO2_Al2O3 composite samples with different ratios were added to diesel-Biodiesel fuel. Among the nanocomposites, B5Al60Si60 had the highest power and torque, resulting in 1. 44% increase in torque and 1. 64% increase in brake power compared to diesel fuel and a reduction of 39. 21%, 9. 9%, 10, 6. 9% and 6. 85% in CO, CO2, NO and NOX, respectively. A multilayered Neural Network with one and two hidden layers and two types of sigmoid activation and hyperbolic tangent were used to analyze the results. The MSE and R values for brake power, CO, CO2, NO, NOX and torque were 21. 10 and 0. 9905, 1414/75 and 0. 9910, 0. 0009 and 0. 9940, 3. 94 and 0. 9965, 0. 00079919, and 0. 9905 respectively. In total, the best network is that with the sigmoid activation function and the hidden layer.

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APA: Copy

Jabraeili, Maryam, Pourdarbani, Razieh, NAJAFI, BAHMAN, & Nematlahzadeh, Ali. (2020). Investigation of the impact of SiO2_Al2O3 nano-composite to biodiesel-diesel fuel on performance and emission of a diesel engine. FUEL AND COMBUSTION, 13(2 ), 25-39. SID. https://sid.ir/paper/408930/en

Vancouver: Copy

Jabraeili Maryam, Pourdarbani Razieh, NAJAFI BAHMAN, Nematlahzadeh Ali. Investigation of the impact of SiO2_Al2O3 nano-composite to biodiesel-diesel fuel on performance and emission of a diesel engine. FUEL AND COMBUSTION[Internet]. 2020;13(2 ):25-39. Available from: https://sid.ir/paper/408930/en

IEEE: Copy

Maryam Jabraeili, Razieh Pourdarbani, BAHMAN NAJAFI, and Ali Nematlahzadeh, “Investigation of the impact of SiO2_Al2O3 nano-composite to biodiesel-diesel fuel on performance and emission of a diesel engine,” FUEL AND COMBUSTION, vol. 13, no. 2 , pp. 25–39, 2020, [Online]. Available: https://sid.ir/paper/408930/en

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