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Experimental and analytical investigation on the emission and combustion characteristics of CI engine fueled with tamanu oil methyl esters

机译:塔玛努油甲基酯为燃料的CI发动机排放和燃烧特性的实验和分析研究

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The emission and combustion characteristics of a four stroke multi fuel single cylinder variable compression ratio engine fueled with tamanu oil methyl ester and its blends 10%, 20%, 40%, and 60% with diesel (on volume basis) are examined and compared with standard diesel. Biodiesel produced from tamanu oil by trans-esterification process has been used in this study. The experiment has been conducted at a constant engine speed of 1500 rpm with 50% load and at compression ratios of 16:1, 17:1, 18:1, 19:1, and 20:1. With different blend and for selected compression ratio the exhaust gas emissions such as CO, HC, NOx, CO2, and the combustion characteristics are measured. The variation of the emission parameters for different compression ratios and for different blends is given, and optimum compression ratio which gives best performance has been identified. The results indicate higher rate of pressure rise and minimum heat release rate at higher compression ratio for tamanu oil methyl ester when compared with standard diesel. The blend B40 for tamanu oil methyl ester is found to give minimum emission at 50% load. The blend when used as fuel results in reduction of polluting gases like HC, CO, and increase in NOx emissions. The previously mentioned emission parameters have been validated with the aid of artificial neural network. A separate model is developed for emission characteristics in which compression ratio, blend percentage and load percentage were used as the input parameter whereas CO, CO2, HC, and NOx were used as the output parameter. This study shows that there is a good correlation between the artificial neural network predicted values and the experimental data for different emission parameters.
机译:检查并比较了以Tamanu油甲酯及其10%,20%,40%和60%的柴油与柴油混合的四冲程多燃料单缸可变压缩比发动机的排放和燃烧特性,并与之进行了比较。标准柴油。这项研究使用了塔马努油通过酯交换法生产的生物柴油。该实验是在1500 rpm的恒定发动机转速,50%的负载以及16:1、17:1、18:1、19:1和20:1的压缩比下进行的。在不同的混合气和选定的压缩比下,可测量废气排放,例如CO,HC,NOx,CO2和燃烧特性。给出了不同压缩比和不同掺混物的排放参数的变化,并确定了提供最佳性能的最佳压缩比。结果表明,与标准柴油相比,塔马努油甲酯在较高压缩比下具有较高的升压速率和最小的放热速率。发现塔马努油甲酯的共混物B40在50%负载下具有最小的排放量。当用作燃料时,该混合物减少了诸如HC,CO之类的污染气体,并增加了NOx排放。前面提到的排放参数已经借助人工神经网络进行了验证。针对排放特性开发了一个单独的模型,其中压缩比,混合百分比和负载百分比用作输入参数,而CO,CO2,HC和NOx用作输出参数。这项研究表明,人工神经网络的预测值与不同排放参数的实验数据之间具有良好的相关性。

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