基于Monte-Carlo算法的燃烧过程碳烟颗粒生成特性

Soot Formation Simulation Based on Monte-Carlo Method

基于颗粒群平衡模拟的理论方法,建立描述碳氢燃料碳烟颗粒群尺寸分布函数演变过程的颗粒群平衡方程,将已有的详细化学反应机理和基于颗粒群平衡理论的碳烟模型进行耦合,采用直接模拟Monte-Carlo算法求解系统中的颗粒群平衡方程,获得燃烧过程中碳烟颗粒群尺寸分布函数的时空演变过程详细信息,同时模拟颗粒群成核、表面生长、凝并和氧化等多个动力学事件演变过程,分析颗粒数浓度、碳烟体积分数和最大颗粒数对颗粒物形成过程的影响规律,以及燃烧过程中颗粒粒径分布特性.

Based on the theoretical approaches of particle population balance modeling,the particle population balance equations describing the evolution process of particle size distribution function of hydrocarbon fuel combustion process were built,and the existing detailed chemistry kinetic mechanism was coupled with the soot model based on particle population balance theory. A computation platform of the direct simulation Monte-Carlo method was built to solve the particle population balance equations and to obtain the detail evolution process information of particle size distribution,formation process of soot particles.Particles nucleation,surface reaction,coagulation,PAH deposition and oxidation were also considered to analysis the particle concentration,volume fraction,maximum particles number and their influence on particle size distribution during the combustion process.