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Optimization of performance and emission characteristics of CI engine fueled with Jatropha biodiesel produced using a heterogeneous catalyst (CaO)

机译:用非均相催化剂生产的CI发动机的性能和排放特性优化(CAO)

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This study includes the use of heterogeneous catalyst (CaO) for the production of Jatropha biodiesel through transesterification reaction. The heterogeneous transesterification delivered a yield of 81.6% at 5 wt% catalyst concentration and 12:1 methanol to oil molar ratio. Based on the RSM, systematically experiments have been conducted as proposed by CCFCD. The engine load, CR and FIP have been selected as input parameters for the optimization of BP, BTHE, HC, and NOx emission of engine fueled with B20 blend. RSM model was evaluated and found to be adequate as the regression coefficient R-2, Adj. R-2 and Pred. R-2 were found to be satisfactory. The model retrieved a range of optimum solutions focused on desirability approach and proposed optimal input parameters as 8.05 Kgf load, 18 CR and 180 bar FIP. The optimum performance and emission characteristics (BP, BTHE, HC and NOx) are found to be 2.258 KW, 29.05%, 6.31 ppm, and 159.5 ppm respectively. The performance of B20 fueled engine was almost comparable to that of diesel fuel. In present investigation has witnessed a significant decrease in HC emissions (14.29 percent) compared to diesel, and a slight increase in NOx emissions (1.98 percent) is also observed. The predicted and actual findings of the engine output parameters are assessed at optimal engine configurations and validation test error for BP, BTHE, HC and NOx of optimized blend responses was found to be 2.67, 3.68, 3.1, and 3.6 respectively, within the acceptable range.
机译:该研究包括通过酯交换反应使用非均相催化剂(CAO)用于生产麻风树生物柴油。非均相酯交换率为5wt%催化剂浓度为81.6%,12:1甲醇与油摩尔比率。基于RSM,已根据CCFCD提出进行系统地进行。已选择发动机负载,CR和FIP作为用B20混合物加油的发动机的优化的输入参数作为优化BP,BTHE,HC和NOx排放。评估RSM模型,发现是充分的回归系数R-2,ADJ。 R-2和Pred。 R-2被发现令人满意。该模型检索了一系列专注于可期望方法的最佳解决方案,并提出了最佳输入参数为8.05 kgf负载,18克隆和180巴FIP。最佳性能和排放特性(BP,B,HC和NOx)分别为2.258千瓦,29.05%,6.31ppm和159.5 ppm。 B20燃料发动机的性能与柴油燃料几乎相当。目前,与柴油相比,目前目睹了HC排放(14.29%)的显着降低,也观察到NOx排放量略有增加(1.98%)。在最佳发动机配置中评估发动机输出参数的预测和实际发现,并在可接受的范围内发现了优化混合物响应的BP,HC和NOx的验证测试误差分别为2.67,3.68,3.1和3.6 。

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