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基于光谱诊断的烃类火焰碳烟形成机理研究综述
引用本文:吴润民,谢 非,宋旭东,白永辉,王焦飞,苏暐光,于广锁.基于光谱诊断的烃类火焰碳烟形成机理研究综述[J].光谱学与光谱分析,2023,43(1):1-8.
作者姓名:吴润民  谢 非  宋旭东  白永辉  王焦飞  苏暐光  于广锁
作者单位:1. 宁夏大学省部共建煤炭高效利用与绿色化工国家重点实验室,宁夏 银川 750021
2. 华东理工大学洁净煤技术研究所,上海 200237
基金项目:宁夏回族自治区重大项目(2019BCH01001),国家自然科学基金项目(21968024)资助
摘    要:碳烟主要是烃类燃料不完全燃烧生成的产物,其对人类健康、空气质量以及燃烧装置的使用寿命都会产生有害影响。碳烟生成是一个复杂的物理化学过程,控制碳烟排放,需要克服碳烟生成和燃烧过程中物理和化学演化的巨大差异,这些差异表现为对碳烟纳观结构和表面官能团随碳烟氧化活性反应变化的深入探索研究。近些年,研究人员对碳烟的生成机理开展了系列研究,对碳烟生成各个物理化学反应阶段有了一定认识。结合光谱诊断技术可深入了解燃烧系统碳烟形成过程,确定碳烟颗粒分子组成、精细结构、浓度分布等特征,也可从碳烟结构变化、黑体辐射强度等方面详细了解碳烟形成过程。该文旨在阐述光谱诊断技术对烃类火焰碳烟表征的研究进展和发展趋势,探讨LIBS, LII和LIF等作为诊断工具在包含背景辐射的火焰中检测碳烟生成过程产生辐射强度准确性等问题。主要介绍了烃类火焰碳烟的形成机理(从前驱体产生、生长到颗粒生成、凝聚,最后进行颗粒氧化)。总结了探测碳烟性质光谱诊断方法的应用以及光谱诊断技术对燃烧过程中碳烟表征的研究现状,包括对碳烟体积分数、温度和基于图像处理的碳烟结构表征,反应碳烟前驱体(多环芳烃)、反应气氛、温度等对碳烟颗粒物生成的影响。最...

关 键 词:烃类火焰  光谱诊断  碳烟  形成机理
收稿时间:2021-07-08

The Mechanism of Hydrocarbon Flame Soot Formation in Spectral Diagnosis: A Review
WU Run-min,XIE Fei,SONG Xu-dong,BAI Yong-hui,WANG Jiao-fei,SU Wei-guang,YU Guang-suo.The Mechanism of Hydrocarbon Flame Soot Formation in Spectral Diagnosis: A Review[J].Spectroscopy and Spectral Analysis,2023,43(1):1-8.
Authors:WU Run-min  XIE Fei  SONG Xu-dong  BAI Yong-hui  WANG Jiao-fei  SU Wei-guang  YU Guang-suo
Institution:1. State Key Laboratory of High-Efficiency Utilization of Coal and Green Chemical Engineering, School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China 2. Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, China
Abstract:As the main by-product of incomplete combustion of hydrocarbon fuel, soot not only has a detrimental effect on the combustion equipment but also harms air quality and human health. The formation of soot is a complex physical and chemical process. It is necessary to decrease the striking differences between the physical evolution and the chemical process of soot generation and combustion. In the past few decades, some scholars have investigated the mechanism of soot generation by spectral diagnostic technology and have had the understanding of soot formation in different generation stages to some extent. By using spectral diagnosis technology, the process of soot generation in the combustion system could be researched more comprehensively, and the molecular composition, fine structure, concentration distribution and other characteristics of soot could also be determined. More importantly, the process could be explained from the changes of soot structure and blackbody radiation intensity in detail. The aim of this study, on the one hand, is to illustrate the research process and developing trend of hydrocarbon flame soot by using spectral diagnosis technology. On the other hand, it is to discuss the problems like the accuracy of the radiation intensity generated during the process of soot generation in flames containing background radiation by the diagnostic tools, LIBS, LII and LIF included. Additionally, the formation mechanism of hydrocarbon flame soot (from precursor generation and growth to particle generation and aggregation, and finally, particle oxidation) is introduced in detail. Meanwhile, it summarized the application of spectral diagnostic methods to detect the properties of soot and the research status of spectral diagnostic techniques on the characterization of soot during combustion, including the volume fraction, reaction temperature and structure characterization of soot based on image processing, and the influence of polycyclic aromatic hydrocarbons, reaction atmosphere and temperature on the formation of soot particles was explored as well. Finally, the future application of spectral diagnostic methods in soot is forecasted. Spectroscopy diagnosis will present a more detailed and accurate study of the chemical reaction mechanism of soot formation in the future. The impact of uneven soot on flame images needs to be reduced, and the development trend of optimizing spectral diagnostic measurement methods to collect and monitor the concentration of multiple gas components in flame simultaneously and the generated soot in real-time. The analysis of spectral diagnostic and image analysis in homogeneous combustion flame soot will provide directions and have crucial scientific significance for promoting clean combustion and heterogeneous flow research.
Keywords:Hydrocarbon flame  Spectral diagnosis  Soot  Formation mechanism  
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