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Large eddy simulation of a turbulent swirling premixed flame coupling the TFLES model with a dynamic wrinkling formulation

机译:湍流涡旋预混火焰的大涡模拟,结合了TFLES模型和动态起皱公式

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Dynamic models that take advantage of the known resolved scales to automatically adjust the model parameters have proved to be very effective in large eddy simulations (LES). Global (uniform parameter evolving only with time) and local (parameter evolving both in space and time) dynamic formulations for the flame wrinkling factor are combined with the Thickened Flame (TFLES) model and simulations of the semi-industrial PRECCINSTA burner studied experimentally by Meier et al. (2007) are performed for the stable and unstable configurations. The global formulation predicts a time-dependent model exponent that remains close to 0.5 for the stable flame and oscillates strongly around 0.8 for the pulsating flame. The local formulation adapts the model parameter locally and automatically damps the wrinkling factor in the vicinity of walls, contrary to the global formulation requiring a wall law. The usual non-dynamic approach with an appropriate parameter is found to capture flow statistics of the stable flame with good accuracy, both in terms of Favre and quasi-Reynolds averages. However, the self-excited mode of the pulsating flame is predicted only with the dynamic formalism. The fractal dimension of the unstable flame is found to vary locally and depends on the phase within the period of oscillation. Dynamic models may then play an important role in the prediction of combustion instabilities. (C) 2017 Published by Elsevier Inc. on behalf of The Combustion Institute.
机译:事实证明,利用已知的可分辨比例来自动调整模型参数的动态模型在大型涡流仿真(LES)中非常有效。皱纹因子的全局(仅随时间变化的统一参数)和局部(随时间变化的参数)动态公式与加厚火焰(TFLES)模型相结合,并通过Meier实验研究了半工业PRECCINSTA燃烧器的模拟等。 (2007年)进行了稳定和不稳定的配置。整体公式预测了随时间变化的模型指数,对于稳定的火焰,该指数将保持在接近0.5的水平;对于脉动的火焰,该指数将在0.8附近强烈地振荡。与需要壁法则的全局公式相反,局部公式可局部调整模型参数并自动抑制墙附近的起皱因子。发现通常的具有适当参数的非动态方法可以以Favre和准雷诺平均值的形式准确捕获稳定火焰的流量统计信息。但是,脉动火焰的自激模式只能通过动态形式主义来预测。发现不稳定火焰的分形维数局部变化,并取决于振荡周期内的相位。动态模型然后可能在燃烧不稳定性的预测中起重要作用。 (C)2017由Elsevier Inc.代表燃烧研究所出版。

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