Analysis and evaluation on pressure fluctuations in air dense medium fluidized bed

Analysis and evaluation on pressure fluctuations in air dense medium fluidized bed
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空气重介质流化床压力脉动分析与评价

DOI:
10.1016/j.ijmst.2018.03.004
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发表时间:
2018-05
影响因子:
11.8
通讯作者:
Zhenfu Luo
Zhenfu Luo
中科院分区:
工程技术1区
文献类型:
--
作者:
Cheng Sheng;Chenlong Duan;Yuemin Zhao;Liang Dong;Zhenfu Luo

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压力波动是导致空气重介质流化床分离过程不稳定的重要原因,这为进一步研究其机理提供了动力。讨论了空气重介质流化床压力波动产生和传播的原因。利用颗粒的漂移率和碰撞率推导了空隙率与压力波动之间的关系。同时建立了动态压力脉动测量分析系统。基于频域分析和小波分析,对采集到的信号进行了分解和分析。结果表明,粒子运动逐渐增强,低频信号分量的幅值增加。由于颗粒剧烈运动,真实的压力信号的频率幅值随风速的增加而增加。小波分析保留了真实的信号的边缘特征,有效地去除了噪声。去噪后的信号频率与频域分析识别的压力信号频率接近。
Pressure fluctuations contribute to the instability of separation process in air dense medium fluidized bed, which provides a high motivation for further study of underlying mechanisms. Reasons for generation and propagation of pressure fluctuations in the air dense medium fluidized bed have been discussed. Drift rate and collision rate of particles were employed to deduce the correlation between voidage and pressure fluctuations. Simultaneously, a dynamic pressure fluctuation measuring and analysis system was established. Based on frequency domain analysis and wavelet analysis, collected signals were disassembled and analyzed. Results show gradually intensive motion of particles increases magnitudes of signal components with lower frequencies. As a result of violent particle motion, the magnitude of real pressure signal’s frequency experienced an increase as air velocity increased moderately. Wavelet analysis keeps edge features of the real signal and eliminates the noise efficaciously. The frequency of de-noised signal is closed to that of pressure signal identified in frequency domain analysis.
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