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A novel atom tracking algorithm for the analysis of complex chemical kinetic networks

机译:一种用于复杂化学动力学网络分析的新颖原子跟踪算法

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摘要

A novel numerical algorithm is presented that enables the tracking of specific atoms during the simulation of simple combustion reactors as those atoms are transferred from initial reactants to final products. Tracking is performed by labeling individual atoms or groups of atoms of interest, and solving, in addition to the coupled ordinary differential equations describing the time evolution of species concentrations, appropriate transfer equations providing the concentration of tracked atoms at each possible location on all chemical species involved. The transfer equations for a given chemical kinetic mechanism are automatically generated using simple structural and energy-based arguments to characterize and quantify how, in each elementary reaction, atoms are re-organized as reactants are converted into products. The capabilities of the tracking algorithm are illustrated by analyzing soot precursors formation in a constant-volume homogeneous reactor, providing new, quantitative evidence of well-known behaviors, such as the link between the molecular structure of a fuel and its sooting propensity. (C) 2016 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:提出了一种新颖的数值算法,该算法能够在简单燃烧反应器的仿真过程中跟踪特定原子,因为这些原子从初始反应物转移到了最终产物。通过标记感兴趣的单个原子或原子组并进行跟踪,除了描述物种浓度随时间变化的耦合常微分方程外,还可以通过适当的传递方程来提供所有化学物种在每个可能位置的被跟踪原子浓度参与。使用简单的结构和基于能量的参数自动生成给定化学动力学机制的传递方程,以表征和量化在每个基本反应中,随着反应物转化为产物,原子如何重新组织。通过分析恒定体积均质反应堆中烟灰前体的形成,说明了跟踪算法的功能,为众所周知的行为提供了新的定量证据,例如燃料的分子结构与其烟灰倾向之间的联系。 (C)2016年燃烧研究所。由Elsevier Inc.出版。保留所有权利。

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