炉内含颗粒耗散介质中的声波衰减特性研究

任国辉; 姜根山; 刘月超; 许伟龙

doi:10.19805/j.cnki.jcspe.2025.230626

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炉内含颗粒耗散介质中的声波衰减特性研究

动力设备与系统 | 更新时间：2026-02-05

- 炉内含颗粒耗散介质中的声波衰减特性研究
- Acoustic Wave Attenuation Characteristics of Particle-laden Dissipative Media in Furnaces
- 动力工程学报 2025年45卷第1期页码：19-27
- 作者机构：
  
  1. 华北电力大学数理学院,北京,102206
  2. 华北电力大学数理系,河北,保定,071003
  3. 中国舰船研究设计中心,湖北,武汉,430064
- 作者简介：
  
  [ "任国辉(1999—),男,山东泰安人,硕士研究生,研究方向为炉内声传播特性" ]
  [ "姜根山(通信作者),男,教授,博士生导师,博士,E-mail:gsjiang@ncepu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金资助项目(12274122,12074118)
- DOI：10.19805/j.cnki.jcspe.2025.230626
  中图分类号： TM621.2
- 网络首发：2025-01-15，
  
  纸质出版：2025
- 稿件说明：
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任国辉,姜根山,刘月超,许伟龙. 炉内含颗粒耗散介质中的声波衰减特性研究动力工程学报, 2025, 45(1): 19-27 https://doi.

org/10.19805/j.cnki.jcspe.2025.230626
任国辉,姜根山,刘月超,许伟龙. 炉内含颗粒耗散介质中的声波衰减特性研究动力工程学报, 2025, 45(1): 19-27 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230626.

org/10.19805/j.cnki.jcspe.2025.230626 DOI：

摘要

为了研究含颗粒耗散介质对可听声波的衰减机理

以电站锅炉炉膛为研究对象

在比较边界层厚度与颗粒半径的基础上

给出了不同边界层厚度下的声衰减计算公式。根据边界层理论进行数值分析

讨论了不同边界层厚度下声衰减系数随颗粒体积分数、声频率、颗粒粒径、烟气温度和烟气密度的变化规律。结果表明:薄边界层下的声衰减主要源于烟气媒质吸收和散射衰减

中边界层和厚边界层下的声衰减主要源于颗粒介质表面边界层的能量损失;声衰减系数随着颗粒体积分数、声频率和烟气温度的增大而增大

但随着烟气密度的增大而减小

该研究为粉尘浓度的在线监测提供了理论基础。

Abstract

To investigate the attenuation mechanism of audible acoustic waves by particle-laden dissipative media

the acoustic attenuation equations with different boundary layer thicknesses were derived by comparing the boundary layer thickness with the particle radius when the furnace of utility boiler was considered as the research subject. Numerical analysis was performed according to the boundary layer theory. The variation of acoustic attenuation coefficient with particle volume fraction

acoustic frequency

particle size

flue gas temperature

and flue gas density was elucidated under different boundary layer thicknesses. Results show that the acoustic attenuation within the thin boundary layers is primarily attributed to the absorption and scattering attenuation of the flue gas medium

whereas the acoustic attenuation within the medium and thick boundary layers is predominantly due to energy dissipation in the boundary layer of particulate medium surface. The acoustic attenuation coefficient is positively correlated with particle volume fraction

acoustic frequency

and flue gas temperature

but inversely correlated with flue gas density

which provides a theoretical foundation for the real-time monitoring of dust concentration.

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Keywords

references

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