Menanteau Sébastien, Lemaire Romain
Institut Catholique d'Arts et Métiers, 06 rue Auber, 59016 Lille, France.
TFT laboratory, Department of Mechanical Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada.
Entropy (Basel). 2019 Dec 23;22(1):21. doi: 10.3390/e22010021.
Laser-induced incandescence (LII) is a powerful diagnostic technique allowing quantifying soot emissions in flames and at the exhaust of combustion systems. It can be advantageously coupled with modeling approaches to infer information on the physical properties of combustion-generated particles (including their size), which implies formulating and solving balance equations accounting for laser-excited soot heating and cooling processes. Properly estimating soot diameter by time-resolved LII (TiRe-LII), nevertheless, requires correctly evaluating the thermal accommodation coefficient α T driving the energy transferred by heat conduction between soot aggregates and their surroundings. To analyze such an aspect, an extensive set of LII signals has been acquired in a Diesel spray flame before being simulated using a refined model built upon expressions accounting for soot heating by absorption, annealing, and oxidation as well as cooling by radiation, sublimation, conduction, and thermionic emission. Within this framework, different conduction sub-models have been tested while a corrective factor allowing the particle aggregate properties to be taken into account has also been considered to simulate the so-called shielding effect. Using a fitting procedure coupling design of experiments and a genetic algorithm-based solver, the implemented model has been parameterized so as to obtain simulated data merging on a single curve with experimentally monitored ones. Eventually, values of the thermal accommodation coefficient have been estimated with each tested conduction sub-model while the influence of the aggregate size on the so-inferred α T has been analyzed.
激光诱导白炽(LII)是一种强大的诊断技术,可用于量化火焰和燃烧系统排气中的烟尘排放。它可以与建模方法相结合,以推断燃烧产生颗粒的物理性质(包括其尺寸)的信息,这意味着要建立并求解考虑激光激发烟尘加热和冷却过程的平衡方程。然而,通过时间分辨激光诱导白炽(TiRe-LII)准确估计烟尘直径,需要正确评估热适应系数αT,该系数决定了烟尘聚集体与其周围环境之间通过热传导传递的能量。为了分析这一方面,在柴油喷雾火焰中采集了大量的LII信号,然后使用一个精细模型进行模拟,该模型基于考虑烟尘吸收、退火和氧化加热以及辐射、升华、传导和热电子发射冷却的表达式构建。在此框架内,测试了不同的传导子模型,同时还考虑了一个允许考虑颗粒聚集体特性的校正因子,以模拟所谓的屏蔽效应。通过将实验设计与基于遗传算法的求解器相结合的拟合程序,对所实现的模型进行了参数化,以便获得与实验监测数据合并在一条曲线上的模拟数据。最后,用每个测试的传导子模型估计了热适应系数的值,并分析了聚集体尺寸对如此推断出的αT的影响。