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Computational diagnostics for n-heptane flames with chemical explosive mode analysis

机译:利用化学爆炸模式分析对正庚烷火焰进行计算诊断

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摘要

Computational flame diagnostics (CFLDs) are systematic tools to extract important information from simulated flames, particularly when detailed chemical kinetic mechanisms are involved. The results of CFLD can be employed for various purposes, e.g. to simplify detailed chemical kinetics for more efficient flame simulations, and to explain flame behaviors associated with complex chemical kinetics. In the present study, the utility of a recently developed method of chemical explosive mode analysis (CEMA) for CFLD will be demonstrated with a variety of flames for n-heptane including auto-ignition, ignition and extinction in steady state perfectly stirred reactors (PSRs) and laminar premixed flames. CEMA was further utilized for analyses and visualization of a direct numerical simulation (DNS) dataset for a 2-D n-heptane-air flame under homogeneous charge compression ignition (HCCI) conditions. CEMA was found to be a versatile method for systematic detection of many critical flame features including ignition, extinction, premixed flame fronts, and flame stabilization mechanisms. The effects of cool flame chemistry for n-heptane on ignition, extinction and flame stability were also investigated with CEMA.
机译:计算火焰诊断(CFLD)是从模拟火焰中提取重要信息的系统工具,尤其是在涉及详细的化学动力学机制时。 CFLD的结果可用于多种用途,例如简化详细的化学动力学,以进行更有效的火焰模拟,并解释与复杂化学动力学相关的火焰行为。在本研究中,将通过对正庚烷进行多种火焰燃烧,包括在稳态完全搅拌反应器(PSRs)中的自燃,着火和熄灭,论证最新开发的CFLD化学爆炸模式分析(CEMA)方法的实用性)和层状预混火焰。 CEMA被进一步用于分析和可视化均质充量压缩点火(HCCI)条件下的二维正庚烷-空气火焰的直接数值模拟(DNS)数据集。发现CEMA是一种用于系统检测许多关键火焰特征的通用方法,这些特征包括点火,熄灭,预混火焰锋和火焰稳定机制。用CEMA还研究了正庚烷的冷火焰化学对着火,消光和火焰稳定性的影响。

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