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RON and MON chemical kinetic modeling derived correlations with ignition delay time for gasoline and octane boosting additives

机译:罗恩和周一化学动力学建模与汽油和辛烷增压添加剂的点火延迟时间的相关性

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摘要

For regulatory and certification purposes the indices that characterize the ignition propensity for a fuel, Research Octane Number (RON) and Motor Octane Number (MON), are measured in a Cooperative Fuel Research (CFR) engine. In an effort to reduce the cost and time of CFR engine testing, computer simulation based work capable of predicting the octane numbers for any fuel blend has received increased attention. Notably, the works of Westbrook et al. [1] , Badra et al. [2] , and Kim et al. [3] simulated the second stage hot ignition delay time (IDT) for fuels and correlated their ignition delay time with experimental RON/MON measurements to determine the relationship between calculated IDT and RON/MON, thereby providing a means to analytically assess the apparent RON/MON and octane sensitivity (OS = RON-MON) values for the fuel. Using a similar methodology, the current study investigated RON-like and MON-like simulated engine compression histories calculated using GT-Power. The current work's calculated IDTs were determined for mixtures of primary reference fuel (PRF) gasoline and major blending components (i.e., iso-octane, n-heptane, ethanol, and toluene), and neat octane boosting additives (e.g., ethyl-benzene, iso-butanol, di-iso-butylene (DIB)) using 0-D closed homogeneous reactor chemical kinetic simulations driven by volume-time and pressure-time compression profiles. The primary goal of the current work was to explore any possible dependence of the fuel's predicted octane number with the compression profile used (i.e., volume-time profile and pressure-time profile). To investigate any possible dependence, the calculated IDTs for both the volume profile and pressure profile driven simulations were used to develop RON and MON correlation curves based on the PRF and neat fuel experimental literature data from McCormick et al. [16] . The model derived RON and MON correlation curves were used to analytically assess the octane numbers of PRFs, toluene PRFs (TPRFs), and both PRFs and TPRFs blended with ethanol for comparison with experimental data from Foong et al. [13] . The simulations indicated a synergistic blending effect on octane number for ethanol blended with PRFs and TPRFs. Overall, the volume profile driven RON/MON/OS assessments had less difference from the experimental PRFs and TPRFs data (i.e., on the order of approximately +/- 2-6 ONs) than the pressure profile driven RON/MON/OS assessments (i.e., greater than approximately +/- 6 ONs). Lastly, the volume and pressure profile driven RON and MON assessments for selected mixtures were compared to the RON and MON assessments completed in [1] which were determined with pressure profile driven simulations. (C) 2020 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:对于监管和认证,目的在合作燃料研究(CFR)发动机中测量了燃料,研究辛烷值(RON)和电机辛烷值(MON)的点火倾向的指标。为了降低CFR发动机测试的成本和时间,基于计算机模拟的工作能够预测任何燃料混合的辛烷值已得到增加的关注。值得注意的是,Westbrook等人的作品。 [1],Badra等。 [2]和Kim等人。 [3]模拟燃料的第二阶段热点火延迟时间(IDT)并将其点火延迟时间与实验RON / MON测量相关,以确定计算的IDT和RON / MON之间的关系,从而提供分析显微ron的手段/ mon和辛烷值(OS = ron-mon)燃料的值。使用类似的方法,目前的研究研究了使用GT-Power计算的RON样和MON样的模拟发动机压缩历史。确定当前的工作计算的IDTS针对主要参考燃料(PRF)汽油和主要共混组分的混合物(即,异辛烷,正庚烷,乙醇和甲苯),以及整齐的辛烷增强添加剂(例如,乙基 - 苯,使用由体积时间和压力 - 时压缩轮廓驱动的0-D封闭均匀反应器化学动力学模拟的异丁醇,二甲醇(DIB))。目前工作的主要目标是探讨燃料预测的辛烷值与所使用的压缩简档的任何可能的依赖性(即音量 - 时间曲线和压力时间分布)。为了调查任何可能的依赖性,用于基于来自McCormick等人的PRF和整齐的燃料实验文献数据来开发RON和MON相关曲线的计算的IDT。 [16]。衍生的RON和MON相关曲线用于分析评估PRF,甲苯PRF(TPRF)的辛烷值,以及与乙醇共混的PRF和TPRFS,以与来自FOONG等人的实验数据进行比较。 [13]。模拟表明乙醇与PRF和TPRFS混合的辛烷值的协同混合效果。总的来说,音量轮廓驱动的RON / MON / OS评估与实验PRF和TPRFS数据的差异较小(即大约+/- 2-6个ONS的顺序)而不是压力轮廓驱动的ron / mon / OS评估(即,大于约+/- 6个ONS)。最后,将对所选混合物的体积和压力分布驱动的RON和MON评估与[1]中完成的RON和MON评估进行比较,其用压力分布驱动模拟测定。 (c)2020燃烧研究所。由elsevier Inc.出版的所有权利保留。

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