首页> 外文期刊>Combustion and Flame >Heavy-alkane oxidation kinetic-mechanism reduction using dominant dynamic variables, self similarity and chemistry tabulation
【24h】

Heavy-alkane oxidation kinetic-mechanism reduction using dominant dynamic variables, self similarity and chemistry tabulation

机译:使用主要动态变量,自相似性和化学表格还原重烷烃氧化动力学机理

获取原文
获取原文并翻译 | 示例
       

摘要

A model of local and full or partial self similarity is developed for situations in which a phenomenon exhibits a dominant variable, with the goal of applying the model to obtain reduced oxidation kinetics from detailed kinetics for n-heptane, iso-octane, n-decane and n-dodecane. Upon appropriate normalization, it is shown that the state vector for all four alkanes indeed obeys local full self similarity with respect to the dominant variable which is here a normalized temperature. Further, the vector of species mass fractions is partitioned into major species which are those of interest to calculate, and thus for which equations are solved, and minor species which are those of no interest to calculate and are therefore modeled. The goal of the chemical kinetic reduction is to provide a model which expresses the influence of the minor species on the major species. The identification of major species with the light species, and of the minor species with the heavy species leads to partitioning the energetics into computed and modeled parts. This partition of the species set is shown to lead to local full self similarity of the reaction rates between the modeled and calculated species; the local full self similarity also prevails for the energy of the modeled species and for the average heat capacity at constant volume of the heavy species. A methodology is developed to take advantage of this self similarity by considering the initial condition as a point in the three-dimensional space of the initial pressure, initial temperature and equivalence ratio, choosing eight points surrounding the initial condition in this space, developing the self similarity graphs at these eight points using the LLNL detailed mechanism in conjunction with CHEMKIN Ⅱ, and calculating at each time step the modeled contributions at the surrounded point by interpolating from those known at the eight points. Once the modeled contributions are known, the conservation equations for the species and the energy, coupled with a real-gas equation of state, are solved. With a focus on the high-pressure conditions in automotive engines, extensive results are shown for the four alkanes over a wide range of initial temperatures (650-1000 K) and equivalence ratios (0.35-3.00) at 20 bar and 40 bar. The results consist of timewise profiles of the temperature and species, allowing the calculation of the ignition time and the equilibrium or maximum temperature. Comparisons between the reduced mechanism and the detailed mechanism show excellent to very good agreement for all alkanes when only 20 progress-variable light species are used in the reduced mechanism; the 20 species are the same for all fuels, and for n-decane and n-dodecane this represents a reduction in the species progress variables by factor of more than 100. As an example, calculations that excellently duplicate the elemental mechanism are also shown for n-dodecane using only 15 or 6 progress-variable light species, indicating the potential for further progress-variable reduction beyond the 20 species.
机译:针对一种现象表现出主要变量的情况,开发了局部和全部或部分自相似模型,目的是应用该模型从正庚烷,异辛烷,正癸烷的详细动力学中获得还原的氧化动力学。和正十二烷。通过适当的归一化表明,所有四个烷烃的状态向量实际上都相对于主导变量(此处为归一化温度)服从局部完全自相似。此外,物种质量分数的向量被划分为主要物种和次要物种,其中主要物种是要计算的感兴趣物种,因此要为其求解方程式,而次要物种则是不需要计算并因此建模的物种。化学动力学还原的目的是提供一个模型,该模型表达次要物种对主要物种的影响。对主要物种与轻物种的识别,对次要物种与重物种的识别,导致将能量学划分为计算部分和模型部分。物种集合的这种划分显示出导致了建模物种和计算物种之间反应速率的局部完全自相似。局部完全自相似性也适用于建模物种的能量和重物种恒定体积下的平均热容。通过将初始条件视为初始压力,初始温度和当量比的三维空间中的一个点,在该空间中选择围绕初始条件的八个点,来开发一种利用这种自我相似性的方法使用LLNL详细机制结合CHEMKINⅡ,在这八个点上绘制相似性图,并在每个时间步通过对八个点的已知值进行插值来计算周围点的建模贡献。一旦知道了建模的贡献,就可以解决物种和能量的守恒方程以及真实的气体状态方程。着眼于汽车发动机的高压条件,在20 bar和40 bar的广泛初始温度(650-1000 K)和当量比(0.35-3.00)的范围内,显示了四种烷烃的广泛结果。结果包括温度和物质的时间分布图,从而可以计算点火时间以及平衡或最高温度。还原机理与详细机理之间的比较表明,在还原机理中仅使用20种随变变量的轻烃时,所有烷烃的一致性都非常好。这20种物质对于所有燃料而言都是相同的,对于正癸烷和正十二烷,这表示物种进展变量减少了100倍以上。例如,还显示了可以很好地复制元素机理的计算方法正十二烷仅使用15种或6种进度可变的轻物种,表明超过20种物种的进一步进度可变的减少潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号