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Investigation of the effects of biodiesel/2-ethylhexyl nitrate (EHN) fuel blends on diesel engine performance and emissions by response surface methodology (RSM)

机译:响应面法(RSM)的生物柴油/ 2-乙基己氨酸盐(EHN)燃料混合对柴油机性能和排放的影响研究(RSM)

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摘要

In this study, the effect of biodiesel (97%, 98%, 99% and 100%) which is a mixture of canola, safflower and waste vegetable oil blends completed with transesterification and 2-ethylhexyl nitrate (EHN) (3%, 2%, 1% and 0%) on compression ignition engine performance and emissions were examined experimentally and by response surface methodology (RSM). Engine experiments were carried out at four different engine loads (500, 1000, 1500 and 2000-W) with biodiesel/EHN fuel blends obtained with different mixing ratios. According to the results obtained from the experiments, RSM model was created. Biodiesel ratio, EHN percentage and load are chosen as input factors, while brake thermal efficiency (BTE), brake specific fuel consumption (BSFC), nitrogen oxides (NOx), carbon monoxide (CO), hydrocarbons (HC) and smoke emissions are selected as response parameters to be examined. In the created RSM, Box-Behnken design (BBD) type was chosen with three number of continuous factors. ANOVA supported Pareto charts were created and it was determined how effective the selected input factors are. The optimum values of the engine parameters were biodiesel percentage of 100%, EHN percentage of 1.1% and, load of 1515-W. According to optimum input parameters, the optimum responses of BTE, BSFC, NOx, CO, HC and smoke were 19.782%, 385.790 g/kWh, 436.951 ppm, 0.0272%, 33.639 ppm and 0.167%, respectively. The obtained outcomes demonstrate that the RSM can be effectively utilized for optimizing compression ignition engine performance and exhaust emissions powered by biodiesel/EHN combines by saving time and reducing engineering effort.
机译:在这项研究中,生物柴油(97%,98%,99%和100%)的作用是用酯交换和2-乙基己烯(EHN)完成的油菜,红花和废植物油共混物的混合物(3%,2通过实验和响应表面方法(RSM)检查压缩点火发动机性能和排放的%,1%和0%)。发动机实验在四种不同的发动机载荷(500,1000,1500和2000-W)中,具有以不同的混合比获得的生物柴油/ EHN燃料共混物。根据从实验获得的结果,创建了RSM模型。选择生物柴油比,EHN百分比和载荷作为输入因子,而制动热效率(BTE),制动特定燃料消耗(BSFC),氮氧化物(NOx),一氧化碳(CO),烃(HC)和烟雾排放是作为响应参数被检查。在创建的RSM中,选用Box-Behnken设计(BBD)类型,其中包含三个连续因子。创建了Anova支持的帕累托图表,并确定了所选输入因素的有效性。发动机参数的最佳值为生物柴油百分比100%,EHN百分比为1.1%,负荷为1515-w。根据最佳输入参数,BTE,BSFC,NOx,CO,HC和烟雾的最佳响应为19.782%,385.790g / kWh,436.951ppm,0.0272%,33.639ppm和0.167%。所获得的结果表明,通过节省时间和减少工程工作,可以有效地利用RSM优化由生物柴油/ EHN提供的压缩点火发动机性能和排气排放。

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