Relationships Derived from Physical Properties of Waste Cooking Oil / Diesel Blends and Biodiesel Fuels

Ali, Md Isa and Mohd Jaafar, Faezah (2019) Relationships Derived from Physical Properties of Waste Cooking Oil / Diesel Blends and Biodiesel Fuels. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 54 (1). pp. 191-203. ISSN 2289-7879

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Abstract

The aim of this study is to estimate mathematical relationships of vital fuel properties that are heating value, density, pour point, cloud point, flash point and viscosity of waste cooking oil/diesel blends and biodiesel fuels. The origin of both waste cooking oil (WCO) and biodiesel (BD) are from palm oil to keep the uniformity of this study. To find the fuel properties, experimentation methods are carried out to acquire data for each blend sample. The samples of blends prepared are ranging from 10% to 100% for both waste cooking oil and biodiesel blend with diesel respectively. From the data of fuel properties obtained, graphs of each fuel property against percentage of blends are plotted. Using Microsoft Excel, mathematical equation for each fuel property for WCO/Diesel and BD/Diesel blends are produced with their respective coefficient of determination denoted as R². The results have shown that the properties of the fuel mainly have polynomial relationships. The equations produced are important because fuel properties are prerequisite as input data for research regarding engine combustion diagnostically and in prediction. From the results obtained, it was also determined that BD blends are of better fuel characteristics than WCO blends because of the positive effects of transesterification.

Item Type:	Article
Uncontrolled Keywords:	Waste cooking oil (WCO), Palm oil biodiesel (BD), basic properties, mathematical relationships, Diesel Blends, Biodiesel Fuels
Divisions:	Faculty of Mechanical Engineering > Department of Thermal Fluids
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	20 Oct 2020 16:19
Last Modified:	20 Oct 2020 16:19
URI:	http://eprints.utem.edu.my/id/eprint/24241
Statistic Details:	View Download Statistic

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