A fully automatic procedure for the analytical reduction of chemical kinetics mechanisms for Computational Fluid Dynamics applications
A fully automatic procedure for the analytical reduction of chemical kinetics mechanisms for Computational Fluid Dynamics applications
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用于计算流体动力学应用的化学动力学机理分析还原的全自动程序
DOI：
10.1016/j.fuel.2021.121247
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发表时间：
2021
期刊：
影响因子：
7.4
通讯作者：
Cuenot, Bénédicte
中科院分区：
文献类型：
--
作者：
Cazères, Quentin;Pepiot, Perrine;Riber, Eleonore;Cuenot, Bénédicte
一个新的软件称为《双城之战》已经开发，以满足广泛的需求，紧凑，计算效率高的化学模型的反应流模拟。基于一种新的、全自动和优化的多步还原方法，《双城之战》的目的是为燃烧化学的一般背景下的化学动力学机制的分析和还原提供一个方便和更容易获得的框架。该方法的能力和性能通过3个案例研究证明。首先，一个经典的甲烷/空气系统，并没有氮/氧化学作为基准进行了研究。然后将该框架应用于具有多组分燃料配方的煤油/空气机制，显示了全自动方法处理复杂化学的能力。最后，该方法的通用性是通过开发烃类蒸汽裂解过程的简化化学模型来证实的。
A new software called ARCANE has been developed to address the broad need for compact, computationally efficient chemical models for reactive flow simulations. Based on a new, fully automatic and optimised multi-step reduction methodology, ARCANE’s purpose is to provide a convenient and more accessible framework for the analysis and reduction of chemical kinetic mechanisms in the general context of combustion chemistry. The capabilities and performance of the methodology are demonstrated through 3 case studies. First, a classical methane/air system with and without nitrogen/oxygen chemistry is studied as a benchmark. The framework is then applied to a kerosene/air mechanism with a multi-component fuel formulation, showing the ability of the fully automatic method to handle complex chemistry. Finally, the generality of the approach is confirmed by developing reduced chemical models for a hydrocarbon steam cracking process.
使用大涡模拟与化学动力学直接积分预测桑迪亚火焰 D 的火焰结构和污染物形成
影响因子：
4.4
作者：
T. Jaravel;E. Riber;B. Cuenot;P. Pepiot
通讯作者：
P. Pepiot
影响因子：
1.9
作者：
Abou-Taouk, A.;Farcy, B.;Eriksson, L. -E.
通讯作者：
Eriksson, L. -E.