首页> 外文期刊>Atomization and Sprays: Journal of the International Institutes for Liquid Atomization and Spray Systems >EVALUATION OF TURBULENCE-CHEMISTRY INTERACTION UNDER DIESEL ENGINE CONDITIONS WITH MULTI-FLAMELET RIF MODEL
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EVALUATION OF TURBULENCE-CHEMISTRY INTERACTION UNDER DIESEL ENGINE CONDITIONS WITH MULTI-FLAMELET RIF MODEL

机译:用多火焰RIF模型评估柴油机条件下的湍流-化学相互作用

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摘要

The multi-fhmelet representative interactive flamelet (RIF) model is used to account for the effects of turbulence-chemistry interaction (TCI) to model spray combustion under typical diesel engine conditions. The RIF model calculates the species mass fraction based on the mixture fraction fields and scalar dissipation rates provided by the computational fluid dynamics solver. A time-dependent renormalization group turbulence model is used in conjunction with a grid-converged discrete phase model for the liquid phase. The minimum number offlamelets required is determined to sufficiently represent the large variation of stoichiometric scalar dissipation rates in the domain. Different forms of the presumed scalar probability density functions (PDFs) were also examined. The modeling results are then compared with the experimental data at different ambient temperatures, ambient O2 concentrations, ambient densities, and injection pressures. The effects of different chemical kinetic mechanisms (103-species and 106-species skeletal mechanisms) are also studied to further understand the performance of the model. Overall, the RIF model is observed to capture the measured ignition delay and flame lift-off length very well, especially under certain conditions characterized by low ambient temperatures, densities, and oxygen concentrations. The need for initializing multiple flamelets is highlighted in order to obtain simulation results devoid of modeling artifacts. Overall, the efficacy of using an advanced turbulence combustion model is demonstrated.
机译:多峰代表性交互式小火焰(RIF)模型用于说明湍流-化学相互作用(TCI)的影响,以模拟典型柴油机条件下的喷雾燃烧。 RIF模型根据计算流体力学求解器提供的混合分数字段和标量耗散率来计算物种质量分数。时间相关的重归一化组湍流模型与液相的网格收敛离散相模型结合使用。确定所需的最低数量的烈焰花,以充分代表该域中化学计量标量耗散率的较大变化。还检查了不同形式的假定标量概率密度函数(PDF)。然后将建模结果与不同环境温度,环境氧气浓度,环境密度和注入压力下的实验数据进行比较。还研究了不同化学动力学机制(103种和106种骨骼机制)的影响,以进一步了解该模型的性能。总体而言,观察到的RIF模型可以很好地捕获所测得的点火延迟和火焰剥离长度,尤其是在某些特征为低环境温度,密度和氧气浓度的条件下。强调了初始化多个小火焰的需要,以便获得没有建模伪像的模拟结果。总的来说,证明了使用先进的湍流燃烧模型的功效。

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