Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network

Gasoline fuel is the baseline fuel in this research, to which bioethanol, biodiesel and diesel are additives. The fuel blends were prepared based on different volumes and following which, ASTM (American Society for Testing and Materials) test methods analysed some of the important properties of the...

Full description

Bibliographic Details
Main Authors:	B., Ghobadian, P., Nematizade, G., Najafi
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2012
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/3054/ http://umpir.ump.edu.my/id/eprint/3054/1/Investigation_Of_Fossil_Fuel_And_Liquid_Biofuel_Blend_Properties_Using_Artificial_Neural_Network.pdf

id	ump-3054
recordtype	eprints
spelling	ump-30542016-04-27T04:28:35Z http://umpir.ump.edu.my/id/eprint/3054/ Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network B., Ghobadian P., Nematizade G., Najafi TP Chemical technology Gasoline fuel is the baseline fuel in this research, to which bioethanol, biodiesel and diesel are additives. The fuel blends were prepared based on different volumes and following which, ASTM (American Society for Testing and Materials) test methods analysed some of the important properties of the blends, such as: density, dynamic viscosity, kinematic viscosity and water and sediment. Experimental data were analysed by means of Matlab software. The results obtained from artificial neural network analysis of the data showed that the network with feed forward back propagation of the Levenberg-Marquardt train LM function with 10 neurons in the hidden layer was the best for predicting the parameters, including: Water and sediment (W), dynamic viscosity (DV), kinematic viscosity (KV) and density (De). The experimental data had a good correlation with ANN-predicted values according to 0.96448 for regression. Universiti Malaysia Pahang 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3054/1/Investigation_Of_Fossil_Fuel_And_Liquid_Biofuel_Blend_Properties_Using_Artificial_Neural_Network.pdf B., Ghobadian and P., Nematizade and G., Najafi (2012) Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network. International Journal of Automotive and Mechanical Engineering (IJAME), 5 (Jan. pp. 639-647. ISSN 2229-8648 (Print); 2180-1606 (Online)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology B., Ghobadian P., Nematizade G., Najafi Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network
description	Gasoline fuel is the baseline fuel in this research, to which bioethanol, biodiesel and diesel are additives. The fuel blends were prepared based on different volumes and following which, ASTM (American Society for Testing and Materials) test methods analysed some of the important properties of the blends, such as: density, dynamic viscosity, kinematic viscosity and water and sediment. Experimental data were analysed by means of Matlab software. The results obtained from artificial neural network analysis of the data showed that the network with feed forward back propagation of the Levenberg-Marquardt train LM function with 10 neurons in the hidden layer was the best for predicting the parameters, including: Water and sediment (W), dynamic viscosity (DV), kinematic viscosity (KV) and density (De). The experimental data had a good correlation with ANN-predicted values according to 0.96448 for regression.
format	Article
author	B., Ghobadian P., Nematizade G., Najafi
author_facet	B., Ghobadian P., Nematizade G., Najafi
author_sort	B., Ghobadian
title	Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network
title_short	Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network
title_full	Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network
title_fullStr	Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network
title_full_unstemmed	Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network
title_sort	investigation of fossil fuel and liquid biofuel blend properties using artificial neural network
publisher	Universiti Malaysia Pahang
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/3054/ http://umpir.ump.edu.my/id/eprint/3054/1/Investigation_Of_Fossil_Fuel_And_Liquid_Biofuel_Blend_Properties_Using_Artificial_Neural_Network.pdf
first_indexed	2023-09-18T21:57:04Z
last_indexed	2023-09-18T21:57:04Z
_version_	1777414149889851392

Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network

Similar Items