Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance

To minimise diesel exhaust emissions, a few methods are commonly used. Engine modifications, combustion optimisation, and exhaust system treatment components are among them. Fuel additives, such as zinc oxide, titanium oxide, aluminium oxide, and cerium oxide, are amongst the most effective methods...

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Main Authors: Sarbani, Daud, Mohd Adnin, Hamidi, Rizalman, Mamat
Format: Article
Language:English
Published: Universitas Muhammadiyah Magelang 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42635/
http://umpir.ump.edu.my/id/eprint/42635/1/Design%20of%20experiment%20to%20predict%20the%20effects%20of%20graphene%20nanoplatelets.pdf
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author Sarbani, Daud
Mohd Adnin, Hamidi
Rizalman, Mamat
author_facet Sarbani, Daud
Mohd Adnin, Hamidi
Rizalman, Mamat
author_sort Sarbani, Daud
building UMP Institutional Repository
collection Online Access
description To minimise diesel exhaust emissions, a few methods are commonly used. Engine modifications, combustion optimisation, and exhaust system treatment components are among them. Fuel additives, such as zinc oxide, titanium oxide, aluminium oxide, and cerium oxide, are amongst the most effective methods to increase performance and reduce emissions. Even while positive performance and emission reduction outcomes have been demonstrated, there are worries concerning health toxicity effects. Carbon nanoparticles have been accepted as a fuel additive since they pose little risk to human health. A few studies have been undertaken to investigate the consequences of employing graphene nanoplatelets as fuel additives, thanks to advancements in graphene research. The findings of the study seemed encouraging. However, despite detecting the additive effects of graphene on performance, no more study has been undertaken to forecast the effects on engine performance. The objective of this study was to predict the effects of graphene nanoplatelets as an additive for diesel engines. The performance parameters of the trial were torque, power, BSFC, and BTE. Speed, load, and blend concentration are all considered in this model. Response surface methods and contour plotting with Minitab software were used to generate the prediction model. The results show that the prediction model is within 10% of the experimental data.
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spelling ump-426352024-10-03T04:24:57Z http://umpir.ump.edu.my/id/eprint/42635/ Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance Sarbani, Daud Mohd Adnin, Hamidi Rizalman, Mamat T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics To minimise diesel exhaust emissions, a few methods are commonly used. Engine modifications, combustion optimisation, and exhaust system treatment components are among them. Fuel additives, such as zinc oxide, titanium oxide, aluminium oxide, and cerium oxide, are amongst the most effective methods to increase performance and reduce emissions. Even while positive performance and emission reduction outcomes have been demonstrated, there are worries concerning health toxicity effects. Carbon nanoparticles have been accepted as a fuel additive since they pose little risk to human health. A few studies have been undertaken to investigate the consequences of employing graphene nanoplatelets as fuel additives, thanks to advancements in graphene research. The findings of the study seemed encouraging. However, despite detecting the additive effects of graphene on performance, no more study has been undertaken to forecast the effects on engine performance. The objective of this study was to predict the effects of graphene nanoplatelets as an additive for diesel engines. The performance parameters of the trial were torque, power, BSFC, and BTE. Speed, load, and blend concentration are all considered in this model. Response surface methods and contour plotting with Minitab software were used to generate the prediction model. The results show that the prediction model is within 10% of the experimental data. Universitas Muhammadiyah Magelang 2022-04-23 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/42635/1/Design%20of%20experiment%20to%20predict%20the%20effects%20of%20graphene%20nanoplatelets.pdf Sarbani, Daud and Mohd Adnin, Hamidi and Rizalman, Mamat (2022) Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance. Automotive Experiences, 5 (3). pp. 467-476. ISSN 2615-6202. (Published) https://doi.org/10.31603/ae.6263 https://doi.org/10.31603/ae.6263
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Sarbani, Daud
Mohd Adnin, Hamidi
Rizalman, Mamat
Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
title Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
title_full Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
title_fullStr Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
title_full_unstemmed Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
title_short Design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
title_sort design of experiment to predict the effects of graphene nanoplatelets addition to diesel engine performance
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
url http://umpir.ump.edu.my/id/eprint/42635/
http://umpir.ump.edu.my/id/eprint/42635/
http://umpir.ump.edu.my/id/eprint/42635/
http://umpir.ump.edu.my/id/eprint/42635/1/Design%20of%20experiment%20to%20predict%20the%20effects%20of%20graphene%20nanoplatelets.pdf