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Wavelet Characterization of the Flow Regime in a Gas-Solid Fluidized Bed

机译:气固流化床中流态的小波表征

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Processes like combustion, pyrolysis or gasification of coal and biomass are typical applications of gas-solid fluidized beds. These reactors normally use silica sand as the inert material inside the bed and the sand particles represent around 95% of the total bed weight. Pressure measurements have been used to characterize the dynamic behavior of fluidized beds since early researches in the area. Pressure fluctuations are generally due to bubbles flow which characterizes the fluidization regime. The present work aims to perform a time-frequency analysis of the pressure signal acquired in an experimental apparatus on different gas-solid flow regimes. Continuous and discrete wavelet transforms were applied and the results were compared with image records acquired simultaneously with the pressure signal. The main frequencies observed are in accordance with the ones obtained through Fourier spectra. The time-frequency distribution of the signal agrees with the phenomena observed in the image record, remarkably for the slugging flow. Some additional research is still necessary to completely characterize the flow regimes using the wavelet scalograms but the present results show that the task is a very promising one.
机译:煤和生物质的燃烧,热解或气化等过程是气固流化床的典型应用。这些反应器通常使用硅砂作为床内的惰性材料,而砂粒约占床总重量的95%。自从该地区的早期研究以来,压力测量已用于表征流化床的动态行为。压力波动通常归因于气泡流,这是流化状态的特征。本工作旨在对不同气体-固体流态下的实验设备中获得的压力信号进行时频分析。应用连续和离散小波变换,并将结果与​​与压力信号同时获取的图像记录进行比较。观察到的主要频率与通过傅立叶频谱获得的频率一致。信号的时频分布与图像记录中观察到的现象相吻合,这对于节拍流非常明显。要使用小波比例尺完全表征流态,仍需要进行一些其他研究,但目前的结果表明该任务是非常有前途的。

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