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Feature of acoustic sound signals involved in vapor bubble condensation and its application in identification of condensation regimes

机译:蒸气气泡凝结所涉及的声音信号的特征及其在凝结状态识别中的应用

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Experiments were carried out on the sound pressure oscillations condensation regime map, and bubble collapse frequency during the direct contact condensation of vapor with the aid of an acoustic hydrophone and a high-speed video camera. The injection rate of vapor and liquid subcooling in the experiments were 0.19-3.73 m(3)/h and of 10-70 K, respectively. Four different condensation regimes were identified according to features presented on the bubble surface and whether and when the bubble collapse occurred. The state-of-the-art signal processing methods (statistical, spectral, fractal and discrete wavelet transform analyses) were applied to processing the detected acoustic signals. The results showed that only the kurtosis and DWT in the four methods could distinguish the different regimes well. Furthermore, the spectral and fractal analyses showed that strongly persistent behavior in the signals corresponded to the dominant frequency in the range of 120-400 Hz might be arisen from the periodic variation in the vapor bubble volume. While that corresponded to peaks with frequency higher than 7000 Hz in transition and capillary wave regimes were probably the high-frequency oscillation in pressure induced by sudden bubble collapse. Contrarily, the first peak in 0-200 Hz caused by the periodic bubble break-up or split-up was high anti-persistent. DWT analysis showed that the sound pressure oscillation introduced by bubble collapse was similar to that by bubble split-up for all condensation regimes, whereas at very high frequency two different types of oscillations arose. Furthermore, the bubble collapse frequency increased with increase in liquid subcooling and vapor injection rate, and could be obtained from the spectral and Hurst analyses of the signals indirectly. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在声压水听器和高速摄像机的帮助下,对声压振荡冷凝态图和蒸汽直接接触冷凝过程中的气泡破裂频率进行了实验。在实验中蒸气和液体过冷的注入速率分别为0.19-3.73 m(3)/ h和10-70K。根据气泡表面呈现的特征以及气泡是否破裂以及何时破裂,确定了四种不同的冷凝方式。最新的信号处理方法(统计,频谱,分形和离散小波变换分析)已应用于处理检测到的声音信号。结果表明,四种方法中只有峰度和小波变换可以很好地区分不同的体制。此外,频谱和分形分析表明,与气泡频率在120-400 Hz范围内的主频率相对应的信号中的强持续性行为可能是由气泡体积的周期性变化引起的。尽管这对应于跃迁中频率高于7000 Hz的峰值,但毛细波状态可能是由突然的气泡破裂引起的压力的高频振荡。相反,由周期性气泡破裂或分裂引起的0-200 Hz的第一个峰值是高抗持久性的。 DWT分析表明,在所有凝结状态下,气泡破裂引起的声压振荡类似于气泡分裂引起的声压振荡,而在非常高的频率下会产生两种不同类型的振荡。此外,气泡崩解频率随着液体过冷度和蒸气注入速率的增加而增加,并且可以间接地从信号的频谱和赫斯特分析中获得。 (C)2015 Elsevier Ltd.保留所有权利。

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