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A hybrid kinetic mechanism reduction scheme based on the on-the-fly reduction and quasi-steady-state approximation

机译:基于动态约简和准稳态逼近的混合动力学机制约简方案

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摘要

A hybrid kinetic mechanism reduction approach combining global reduction and dynamic reduction methods is proposed in the present work. The approach is based on the dynamic flux-based on-the-fly reduction and the globally applied quasi-steady-state approximation (QSSA). Globally identified quasi-steady-state (QSS) species are separated from the kinetic ODEs and described by a set of nonlinear algebraic equations. Then the dynamic element flux analysis in the on-the-fly reduction is integrated to determine the active non-QSS species at each time step of the computation. The proposed hybrid reduction procedure reduces the number of species involved in the transport calculation, while still maintaining efficient chemistry calculation. The computational framework of the proposed methodology is demonstrated in a PFR model as well as a two-dimensional engine CFD model with detailed methane mechanism and several optimally selected QSS species sets. The ignition timing is accurately predicted under various reaction conditions compared to that from simulations using the detailed mechanism. Also, the temperature, pressure, and species concentration profiles captured with hybrid reduction scheme are in excellent agreement with the results in the detailed mechanism calculations. Satisfactory performance of the hybrid reduction scheme is achieved in predicting important characteristics of fuel combustion process. The hybrid kinetic mechanism reduction scheme is a promising approach to address combustion problems in complex reactive flow environment, especially for enabling the computational simulations of transport-intensive applications.
机译:在本文中,提出了一种将整体还原和动态还原相结合的混合动力机理还原方法。该方法基于动态通量动态减少和全局应用的准稳态近似(QSSA)。全局识别的准稳态(QSS)物种与动力学ODE分离,并由一组非线性代数方程描述。然后,对动态减少中的动态元素通量分析进行集成,以确定计算的每个时间步中的活动非QSS种类。拟议的杂化还原程序减少了运输计算中涉及的物种数量,同时仍保持有效的化学计算。所提出的方法的计算框架在PFR模型以及具有详细甲烷机制和几个最佳选择QSS物种集的二维发动机CFD模型中得到了证明。与使用详细机制进行的仿真相比,可以在各种反应条件下准确预测点火正时。而且,用混合还原方案捕获的温度,压力和物种浓度曲线与详细机理计算中的结果非常吻合。在预测燃料燃烧过程的重要特征时,混合动力降低方案的性能令人满意。混合动力机理简化方案是解决复杂反应流环境中燃烧问题的一种有前途的方法,特别是对于能够进行交通密集型应用的计算仿真而言。

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