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    耦合声源作用下锅炉声场特性研究

    Study on the Characteristics of Boiler Acoustic Fields Under Coupled Sound Sources

    • 摘要: 锅炉内燃烧噪声、声波吹灰器噪声与管道泄漏声共存时,形成复杂的声学环境,对泄漏声学检测的准确性与可靠性构成挑战。本文基于COMSOL建立某600MW电厂锅炉三维几何声学模型,采用射线声学系统研究了三类声源在单独、两两耦合及三者同时作用下的炉膛壁面频响特性。首先通过矩形腔体简正频率分析揭示了锅炉腔体的模态分布特征与系统性简并规律;随后提取了腔体脉冲响应,获得宽频混响时间T60=5.66s。结果表明:(1)三类声源的频响特征差异显著——火焰噪声呈中低频宽带形态,峰值79.87dB出现在616.7Hz;吹灰器噪声呈低频主导形态,峰值98.67dB出现在210.1Hz;泄漏噪声呈宽频强源特征,峰值105.30dB出现在3929.4Hz,是三者中能量最强的声源;(2)2500~5000Hz被确定为最优泄漏检测频段,该频段泄漏信号分别高出火焰背景28.9~33.3dB、高出吹灰器背景34.0~40.7dB,泄漏使总声压级在吹灰器关闭时跃升约29.0~33.3dB、吹灰器开启时跃升约27.6~34.2dB,且泄漏主峰呈约2000Hz的宽峰特征,检测系统无需依赖窄带共振峰的精确捕获;(3)声场的时域演化呈现"声源驱动→能量汇聚→混响稳态"三阶段特征,稳态后全腔壁面声压级分布趋于均匀。研究结果可为锅炉多源共存工况下的泄漏声学检测策略提供理论依据与定量参考。

       

      Abstract: When combustion noise inside boilers, acoustic soot blower noise, and pipeline leakage noise coexist, a complex acoustic environment is formed, posing challenges to the accuracy and reliability of leakage acoustic detection. This paper establishes a three-dimensional acoustic model of a 600 MW power plant boiler based on COMSOL and uses a ray acoustics system to study the frequency response characteristics of the furnace wall under three types of sound sources individually, in paired coupling, and simultaneously. First, the modal distribution features and system degeneracy patterns of the boiler cavity are revealed through rectangular cavity natural frequency analysis; subsequently, the cavity impulse response is extracted, yielding a broadband reverberation time T60 of 5.66s. The results show that:(1)The three types of acoustic sources exhibit significantly different frequency-response characteristics. Flame noise presents a broadband, medium-to-low-frequency distribution, with a peak sound pressure level of 79.87dB at 616.7Hz. Sootblower noise is dominated by low-frequency components, with a peak of 98.67dB at 210.1Hz. Leakage noise exhibits a strong broadband characteristic, with a peak sound pressure level of 105.30dB at 3929.4Hz, making it the strongest of the three sources in terms of acoustic energy.(2) The 2500-5000Hz range is identified as the optimal frequency band for leakage detection. Within this frequency range, the leakage signal is 28.9-33.3dB higher than the flame-noise background and 34.0-40.7dB higher than the sootblower-noise background. The introduction of leakage increases the overall sound pressure level by approximately 29.0-33.3dB when the sootblower is off and 27.6-34.2dB when the sootblower is on. In addition, the dominant leakage peak exhibits a broad-band characteristic spanning approximately 2000Hz, indicating that the detection system does not rely on precise identification of a narrow resonance peak.(3)The temporal evolution of the acoustic field exhibits three distinct stages:"source-driven stage → energy accumulation stage → reverberant steady-state stage." After reaching the steady state, the sound pressure level distribution over the entire furnace-wall surface becomes relatively uniform. These findings provide a theoretical basis and quantitative reference for acoustic leakage-detection strategies under multi-source operating conditions in boilers.

       

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