娄春, 张鲁栋, 蒲旸, 张仲侬, 李智聪, 陈鹏飞. 基于自发辐射分析的被动式燃烧诊断技术研究进展[J]. 实验流体力学, 2021, 35(1): 1-17. DOI: 10.11729/syltlx20200063
引用本文: 娄春, 张鲁栋, 蒲旸, 张仲侬, 李智聪, 陈鹏飞. 基于自发辐射分析的被动式燃烧诊断技术研究进展[J]. 实验流体力学, 2021, 35(1): 1-17. DOI: 10.11729/syltlx20200063
LOU Chun, ZHANG Ludong, PU Yang, ZHANG Zhongnong, LI Zhicong, CHEN Pengfei. Research advances in passive techniques for combustion diagnostics based on analysis of spontaneous emission radiation[J]. Journal of Experiments in Fluid Mechanics, 2021, 35(1): 1-17. DOI: 10.11729/syltlx20200063
Citation: LOU Chun, ZHANG Ludong, PU Yang, ZHANG Zhongnong, LI Zhicong, CHEN Pengfei. Research advances in passive techniques for combustion diagnostics based on analysis of spontaneous emission radiation[J]. Journal of Experiments in Fluid Mechanics, 2021, 35(1): 1-17. DOI: 10.11729/syltlx20200063

基于自发辐射分析的被动式燃烧诊断技术研究进展

Research advances in passive techniques for combustion diagnostics based on analysis of spontaneous emission radiation

  • 摘要: 被动式燃烧诊断技术是利用火焰自发射辐射信息进行燃烧诊断的一项技术,具有非接触、对环境要求不高、系统紧凑、易于实施等特点,在燃烧场在线测量及诊断中具有独特优势。首先,分析了各类燃烧诊断技术的优势及局限;其次,结合华中科技大学煤燃烧国家重点实验室开展的被动式燃烧测量诊断研究工作,从火焰发射光谱、火焰图像处理、热辐射成像技术三个方面介绍了自发辐射燃烧诊断技术的基本原理及研究现状,利用这三种技术,可实现燃烧状态定性分析以及燃烧流场中温度、组分体积分数等燃烧关键信息的定量计算;最后,指出了自发辐射燃烧诊断技术的发展趋势,即:获得更丰富的检测信号、更高的检测分辨率和精度以及更多的检测结果。

     

    Abstract: Passive techniques for combustion diagnostics utilize flame spontaneous emission radiation information. The characteristics of this technique are noninvasive, low requirement on measurement environment, compact system, and easy to implement, and therefore it has unique advantages for online measurement of the combustion field. Firstly, the advantages and limitations of various combustion diagnosis technologies have been analyzed. Then, based on the work of passive combustion measurement diagnosis carried out by State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, the principles and state of the art of spontaneous emission radiation diagnostic are introduced according to the three aspects of flame emission spectroscopy, flame image processing, and thermal radiative imaging. Qualitative analysis of the combustion status and quantitative calculation of key combustion information such as the temperature and the species volume fraction in the combustion field can be achieved by using the three techniques above. Finally, the development trend of the spontaneous emission radiation diagnosis technology is presented, which is to obtain more plentiful measured signals, higher measurement resolution and accuracy, and more kinds of measured results.

     

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