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Bubble growth obtained from pressure fluctuation in vibration separation fluidized bed using wavelet analysis
Advanced Powder Technology ( IF 5.2 ) Pub Date : 2020-06-29 , DOI: 10.1016/j.apt.2020.06.018
Yadong Zhang , Xiangyu Zhang , Yuemin Zhao , Guannan Lv , Xuliang Yang , Ziming Wang , Chenlong Duan , Liang Dong

The dynamics of pressure induced bubble in vibration separation fluidized bed was identified and investigated by calculating the correlation of the approximate signals at different levels. Effects of gas velocity, vibration frequency, vibration amplitude and static bed height on the correlation coefficients of pressure signals at levels A7 and A8 were studied. It was shown that the correlation coefficients of A7 and A8 scale signals first increase and thereafter decrease with the increase in gas velocity, vibration frequency, amplitude, and static bed height parameters. Meanwhile, the formation and aggregation of bubbles can be effectively suppressed by vibration within the height range of 90–140 mm under the condition of A = 2 mm, f = 20 Hz, and v = 14 cm/s. In addition, the E values of the separation accuracy of 1–3 mm raw coal reaches the minimum, which indicate that fine coal has achieved the criteria of ash reduction and quality improvement after sorting.



中文翻译:

基于小波分析的振动分离流化床压力波动引起的气泡增长

通过计算不同水平下近似信号的相关性,确定并研究了振动分离流化床中压力诱导气泡的动力学。研究了气体速度,振动频率,振动幅度和静态床高对水平A 7A 8压力信号的相关系数的影响。结果表明,A 7A 8的相关系数比例信号首先增加,然后随着气体速度,振动频率,振幅和静态床高度参数的增加而减小。同时,在A  = 2 mm,f  = 20 Hz和v  = 14 cm / s的条件下,通过在90-140 mm的高度范围内进行振动,可以有效地抑制气泡的形成和聚集。此外,1-3 mm原煤的分离精度E值达到最小值,表明细煤已达到分选后降低灰分和提高质量的标准。

更新日期:2020-06-29
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