Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine

The trend of global warming and greenhouse emissions remains as is for the foreseeable future, despite the advancements made in alternative fuels. The burning of fossil fuels in the internal combustion engines of private cars, commercial vehicles, and other modes of transportation is the primary sou...

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Main Author:	Wan Muhammad Noor Sarbani, Mat Daud
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TA Engineering (General) Civil engineering (General) TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/35918/1/Graphene%20additive%20effects%20on%20diesel%20blend%20fuels%20for%20performance%2C%20combustion%20and%20emissions.ir.pdf
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id	my-ump-ir.35918
record_format	uketd_dc
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Mohd Adnin, Hamidi
topic	TA Engineering (General) Civil engineering (General) TJ Mechanical engineering and machinery TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) TJ Mechanical engineering and machinery TA Engineering (General) Civil engineering (General) Wan Muhammad Noor Sarbani, Mat Daud Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
description	The trend of global warming and greenhouse emissions remains as is for the foreseeable future, despite the advancements made in alternative fuels. The burning of fossil fuels in the internal combustion engines of private cars, commercial vehicles, and other modes of transportation is the primary source of emissions. Various ways can reduce emissions, such as reducing vehicle weight, using alternative energy sources, and adding additives to the fuels. Researchers have performed a few studies to study the effects of graphene nanoplatelets' application as an additive in diesel engines. This research aims to analyse the physicochemical properties of the diesel-graphene mixture and to evaluate the effect of performance and emissions of diesel-graphene blends in a single cylinder CI engine. Furthermore, this research aims to predict the effect of performance and emissions of diesel-graphene blends in a compression ignition engine through analytical and computational methods. In this research, the physicochemical properties of the dieselgraphene blends (density, viscosity, and calorific value) were tested using ASTM standards. The properties are then compared to fuel diesel, which was used as the baseline in this study. The stability of the blends was also tested using visual observation and UVVis spectroscopy. The fuel blends were then run in a single-cylinder diesel engine. The engine was run with five different speeds (900, 1200, 1500, 1800, and 2100) rpm, six different loads (0, 20, 40, 60, 80, and 100) %, and five different blends (0, 25, 50, 75, and 100) ppm. The experiment results were analysed with basic statistics, bar charts, and scatterplots. Minitab® is the tool chosen to produce the prediction model. The response surface methodology is applied in producing the prediction model. Surface and contour plots were used to simulate the predicted values. The results from the property tests showed that the addition of graphene nanoplatelets increased the viscosity and density of the diesel. However, the calorific value of the blends is found to be lower than pure diesel. The results from the experiments indicated improvement in brake torque, brake power, brake specific fuel consumption, and brake thermal efficiency at high loads (80% - 100%). Moreover, the emission of CO2 and NOx have been reduced at all different loads. However, the emission of CO was only reduced at high loads (100%) but increased at lower loads. The prediction model using response surface methodology for all parameters (Torque, Power, BSFC, and BTE) has been established. All the models showed good agreement compared with the experimental data (less than ±10%). In addition, a prediction model for all emission parameters (CO, CO2, and NOx) have been established. All the models showed good agreement compared with the experimental data (less than ±10%), except the prediction model for CO did not show good agreement due to the fact this is diesel engine emission- which reflects CO value to be extremely low and even negligible. In conclusion, this research has successfully determined the effects of graphene nanoplatelets on the physicochemical properties of diesel-graphene blends. The experiments also successfully demonstrated the effects of diesel-graphene blends on the performance and emissions of a single-cylinder compression ignition engine. Additionally, this study also managed to produce a realistic prediction model for the effects of graphene nanoplatelets usage as an additive to diesel engine performance and emissions.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wan Muhammad Noor Sarbani, Mat Daud
author_facet	Wan Muhammad Noor Sarbani, Mat Daud
author_sort	Wan Muhammad Noor Sarbani, Mat Daud
title	Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
title_short	Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
title_full	Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
title_fullStr	Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
title_full_unstemmed	Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
title_sort	graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Mechanical and Automotive Engineering Technology
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/35918/1/Graphene%20additive%20effects%20on%20diesel%20blend%20fuels%20for%20performance%2C%20combustion%20and%20emissions.ir.pdf
_version_	1783732248873271296
spelling	my-ump-ir.359182023-11-01T07:53:01Z Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine 2022-04 Wan Muhammad Noor Sarbani, Mat Daud TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics The trend of global warming and greenhouse emissions remains as is for the foreseeable future, despite the advancements made in alternative fuels. The burning of fossil fuels in the internal combustion engines of private cars, commercial vehicles, and other modes of transportation is the primary source of emissions. Various ways can reduce emissions, such as reducing vehicle weight, using alternative energy sources, and adding additives to the fuels. Researchers have performed a few studies to study the effects of graphene nanoplatelets' application as an additive in diesel engines. This research aims to analyse the physicochemical properties of the diesel-graphene mixture and to evaluate the effect of performance and emissions of diesel-graphene blends in a single cylinder CI engine. Furthermore, this research aims to predict the effect of performance and emissions of diesel-graphene blends in a compression ignition engine through analytical and computational methods. In this research, the physicochemical properties of the dieselgraphene blends (density, viscosity, and calorific value) were tested using ASTM standards. The properties are then compared to fuel diesel, which was used as the baseline in this study. The stability of the blends was also tested using visual observation and UVVis spectroscopy. The fuel blends were then run in a single-cylinder diesel engine. The engine was run with five different speeds (900, 1200, 1500, 1800, and 2100) rpm, six different loads (0, 20, 40, 60, 80, and 100) %, and five different blends (0, 25, 50, 75, and 100) ppm. The experiment results were analysed with basic statistics, bar charts, and scatterplots. Minitab® is the tool chosen to produce the prediction model. The response surface methodology is applied in producing the prediction model. Surface and contour plots were used to simulate the predicted values. The results from the property tests showed that the addition of graphene nanoplatelets increased the viscosity and density of the diesel. However, the calorific value of the blends is found to be lower than pure diesel. The results from the experiments indicated improvement in brake torque, brake power, brake specific fuel consumption, and brake thermal efficiency at high loads (80% - 100%). Moreover, the emission of CO2 and NOx have been reduced at all different loads. However, the emission of CO was only reduced at high loads (100%) but increased at lower loads. The prediction model using response surface methodology for all parameters (Torque, Power, BSFC, and BTE) has been established. All the models showed good agreement compared with the experimental data (less than ±10%). In addition, a prediction model for all emission parameters (CO, CO2, and NOx) have been established. All the models showed good agreement compared with the experimental data (less than ±10%), except the prediction model for CO did not show good agreement due to the fact this is diesel engine emission- which reflects CO value to be extremely low and even negligible. In conclusion, this research has successfully determined the effects of graphene nanoplatelets on the physicochemical properties of diesel-graphene blends. The experiments also successfully demonstrated the effects of diesel-graphene blends on the performance and emissions of a single-cylinder compression ignition engine. Additionally, this study also managed to produce a realistic prediction model for the effects of graphene nanoplatelets usage as an additive to diesel engine performance and emissions. 2022-04 Thesis http://umpir.ump.edu.my/id/eprint/35918/ http://umpir.ump.edu.my/id/eprint/35918/1/Graphene%20additive%20effects%20on%20diesel%20blend%20fuels%20for%20performance%2C%20combustion%20and%20emissions.ir.pdf pdf en public phd doctoral Universiti Malaysia Pahang Faculty of Mechanical and Automotive Engineering Technology Mohd Adnin, Hamidi

Graphene additive effects on diesel blend fuels for performance, combustion and emissions on diesel engine

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