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PREDICTION OF DENSITY OF WASTE COOKING OIL BIODIESEL USING ARTIFICIALn NEURAL NETWORKS

机译:基于人工神经网络的炼油生物柴油密度预测

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摘要

In this study, biodiesel was produced from waste cooking oil by using sodium hydroxide and methyl alcohol with transesterification method. Three different fuel blends (25, 50 and 75% by volume blending with diesel fuel) were prepared. The densities of fuels were measured at 0.5 degrees C intervals between 0-93 degrees C. The densities of each fuel sample decreased linearly with increasing temperature and diesel concentration. Regression analyses were conducted in MATLAB program and R-2 (coeffici
机译:在这项研究中,使用氢氧化钠和甲醇通过酯交换法从废弃的食用油中生产生物柴油。制备了三种不同的燃料共混物(与柴油燃料按体积计分别混合了25%,50%和75%)。在0-93摄氏度之间以0.5摄氏度的间隔测量燃料的密度。每个燃料样品的密度随温度和柴油浓度的升高而线性降低。回归分析是在MATLAB程序和R-2(coeffici

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