Park Okjoo, Veloo Peter S, Sheen David A, Tao Yujie, Egolfopoulos Fokion N, Wang Hai
Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453, USA.
Exponent, Los Angeles, CA 90066, USA.
Combust Flame. 2016 Oct;172:136-152. doi: 10.1016/j.combustflame.2016.07.004. Epub 2016 Jul 25.
Laminar flame speed measurements were carried for mixture of air with eight C hydrocarbons (propene, propane, 1,3-butadiene, 1-butene, 2-butene, -butene, -butane, and -butane) at the room temperature and ambient pressure. Along with C hydrocarbon data reported in a recent study, the entire dataset was used to demonstrate how laminar flame speed data can be utilized to explore and minimize the uncertainties in a reaction model for foundation fuels. The USC Mech II kinetic model was chosen as a case study. The method of uncertainty minimization using polynomial chaos expansions (MUM-PCE) (D.A. Sheen and H. Wang, Combust. Flame 2011, 158, 2358-2374) was employed to constrain the model uncertainty for laminar flame speed predictions. Results demonstrate that a reaction model constrained only by the laminar flame speed values of methane/air flames notably reduces the uncertainty in the predictions of the laminar flame speeds of C and C alkanes, because the key chemical pathways of all of these flames are similar to each other. The uncertainty in model predictions for flames of unsaturated C hydrocarbons remain significant without considering fuel specific laminar flames speeds in the constraining target data set, because the secondary rate controlling reaction steps are different from those in the saturated alkanes. It is shown that the constraints provided by the laminar flame speeds of the foundation fuels could reduce notably the uncertainties in the predictions of laminar flame speeds of C alcohol/air mixtures. Furthermore, it is demonstrated that an accurate prediction of the laminar flame speed of a particular C alcohol/air mixture is better achieved through measurements for key molecular intermediates formed during the pyrolysis and oxidation of the parent fuel.
在室温和环境压力下,对空气与八种碳氢化合物(丙烯、丙烷、1,3 - 丁二烯、1 - 丁烯、2 - 丁烯、异丁烯、正丁烷和异丁烷)的混合物进行了层流火焰速度测量。连同最近一项研究中报告的碳氢化合物数据,整个数据集被用于证明如何利用层流火焰速度数据来探索并最小化基础燃料反应模型中的不确定性。选择USC Mech II动力学模型作为案例研究。采用基于多项式混沌展开的不确定性最小化方法(MUM - PCE)(D.A. Sheen和H. Wang,Combust. Flame 2011,158,2358 - 2374)来约束层流火焰速度预测的模型不确定性。结果表明,仅由甲烷/空气火焰的层流火焰速度值约束的反应模型显著降低了对C₂和C₃烷烃层流火焰速度预测的不确定性,因为所有这些火焰的关键化学路径彼此相似。在约束目标数据集中不考虑燃料特定的层流火焰速度时,不饱和碳氢化合物火焰的模型预测不确定性仍然很大,因为二级速率控制反应步骤与饱和烷烃中的不同。结果表明,基础燃料的层流火焰速度提供的约束可以显著降低对C₂醇/空气混合物层流火焰速度预测的不确定性。此外,结果表明,通过测量母体燃料热解和氧化过程中形成的关键分子中间体,可以更好地实现对特定C₂醇/空气混合物层流火焰速度的准确预测。