A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether

Ecosystem degradation and fossil fuel depletion are the two foremost concerns to look for alternative fuels. Rapid population growth is primarily accountable for higher consumption of fossil fuel sources, although engine technology is achieving milestones in terms of fuel efficiency and lower exhaus...

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Main Authors: Hafiz Hamza Fayyaz, M.A. Mujtaba, Saad Jahangir, Shahid Imran, Muhammad Ali Ijaz Malik, H. Fayaz, C Ahamed Saleel, Uqba Hassan, Saifullah Quershi, Hamza farooq
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S240584402308341X
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author Hafiz Hamza Fayyaz
M.A. Mujtaba
Saad Jahangir
Shahid Imran
Muhammad Ali Ijaz Malik
H. Fayaz
C Ahamed Saleel
Uqba Hassan
Saifullah Quershi
Hamza farooq
author_facet Hafiz Hamza Fayyaz
M.A. Mujtaba
Saad Jahangir
Shahid Imran
Muhammad Ali Ijaz Malik
H. Fayaz
C Ahamed Saleel
Uqba Hassan
Saifullah Quershi
Hamza farooq
author_sort Hafiz Hamza Fayyaz
collection DOAJ
description Ecosystem degradation and fossil fuel depletion are the two foremost concerns to look for alternative fuels. Rapid population growth is primarily accountable for higher consumption of fossil fuel sources, although engine technology is achieving milestones in terms of fuel efficiency and lower exhaust emissions in order to contribute towards a sustainable environment. The main root cause of global warming is carbon dioxide emissions; therefore, it is imperative to assess the impact of alternative fuels in diesel engines with an aim to minimize carbon emissions. A current study deals with the reduction of carbon emissions and improvement of efficiency through addition of manganese nano-additive to di-ethyl ether and diesel fuel blend in particulate form. Fuel blends were formed by adding various proportions of manganese to high-speed diesel fuel and stirring the mixture while heating it for 10 min. The blends were then tested in diesel engines at two distinct loads and five engine speed ranges. Emission analyzer was used to ascertain the CO2 output of engine. At higher loads for 10 % diethyl ether in diesel, the increase in brake thermal efficiency was 24.19, 28.17 and 26.86 % when the manganese amount in blend was changed as 250 mg, 375 mg and 500 mg respectively. On the other side CO2 emissions increase by 11.57, 30.52 and 20.33 % for manganese concentrations of 250 mg, 375 mg and 500 mg respectively. Analysis performed with Design Expert 13 showed that the desirability was 0.796 for a blend of 375 mg manganese at 1300 rpm and 4500 W load with 33.0611 % BTE, 334.011kg/kWh BSFC, 67.8821Nm torque, and 6.072 % CO2. Therefore, it can be deduced that manganese nanoparticle blends improved engine performance but CO2 emissions also increase which can be responsible for global warming and it should be reduced through catalytic converters.
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spelling doaj.art-802e791a0f55413a98efe489958ce55d2023-10-30T06:08:23ZengElsevierHeliyon2405-84402023-10-01910e21133A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl etherHafiz Hamza Fayyaz0M.A. Mujtaba1Saad Jahangir2Shahid Imran3Muhammad Ali Ijaz Malik4H. Fayaz5C Ahamed Saleel6Uqba Hassan7Saifullah Quershi8Hamza farooq9Department of Mechanical Engineering, University of Engineering and Technology (New Campus), Lahore, 54890, PakistanDepartment of Mechanical Engineering, University of Engineering and Technology (New Campus), Lahore, 54890, PakistanAutomotive Engineering Centre, UET, Lahore, PakistanDepartment of Mechanical Engineering, University of Engineering and Technology (New Campus), Lahore, 54890, PakistanMechanical Engineering Department, Superior University, Raiwind Road, Lahore, 55151, PakistanModeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Corresponding author.Department of Mechanical Engineering, College of Engineering, King Khalid University, Asir-Abha, 61421, Saudi ArabiaInstitute of Electrical, Electronics & Computer Engineering, University of the Punjab, Lahore, PakistanDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore, 54000, PakistanDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore, 54000, PakistanEcosystem degradation and fossil fuel depletion are the two foremost concerns to look for alternative fuels. Rapid population growth is primarily accountable for higher consumption of fossil fuel sources, although engine technology is achieving milestones in terms of fuel efficiency and lower exhaust emissions in order to contribute towards a sustainable environment. The main root cause of global warming is carbon dioxide emissions; therefore, it is imperative to assess the impact of alternative fuels in diesel engines with an aim to minimize carbon emissions. A current study deals with the reduction of carbon emissions and improvement of efficiency through addition of manganese nano-additive to di-ethyl ether and diesel fuel blend in particulate form. Fuel blends were formed by adding various proportions of manganese to high-speed diesel fuel and stirring the mixture while heating it for 10 min. The blends were then tested in diesel engines at two distinct loads and five engine speed ranges. Emission analyzer was used to ascertain the CO2 output of engine. At higher loads for 10 % diethyl ether in diesel, the increase in brake thermal efficiency was 24.19, 28.17 and 26.86 % when the manganese amount in blend was changed as 250 mg, 375 mg and 500 mg respectively. On the other side CO2 emissions increase by 11.57, 30.52 and 20.33 % for manganese concentrations of 250 mg, 375 mg and 500 mg respectively. Analysis performed with Design Expert 13 showed that the desirability was 0.796 for a blend of 375 mg manganese at 1300 rpm and 4500 W load with 33.0611 % BTE, 334.011kg/kWh BSFC, 67.8821Nm torque, and 6.072 % CO2. Therefore, it can be deduced that manganese nanoparticle blends improved engine performance but CO2 emissions also increase which can be responsible for global warming and it should be reduced through catalytic converters.http://www.sciencedirect.com/science/article/pii/S240584402308341XDiesel engineGlobal warmingGreenhouse gasesAlternative fuelsEngine performance
spellingShingle Hafiz Hamza Fayyaz
M.A. Mujtaba
Saad Jahangir
Shahid Imran
Muhammad Ali Ijaz Malik
H. Fayaz
C Ahamed Saleel
Uqba Hassan
Saifullah Quershi
Hamza farooq
A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether
Heliyon
Diesel engine
Global warming
Greenhouse gases
Alternative fuels
Engine performance
title A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether
title_full A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether
title_fullStr A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether
title_full_unstemmed A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether
title_short A comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends: Diesel, manganese, and diethyl ether
title_sort comprehensive study on the performance and emission analysis in diesel engine via optimization of novel ternary fuel blends diesel manganese and diethyl ether
topic Diesel engine
Global warming
Greenhouse gases
Alternative fuels
Engine performance
url http://www.sciencedirect.com/science/article/pii/S240584402308341X
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