振动流化床气泡响应压力信号重构与流型识别研究

Research on pressure signal reconstruction of bubble response and flow pattern identification in vibrated fluidized bed

  • 摘要: 采用微差压传感器在线采集二维振动流化床轴向不同位置的床层压力信号,通过非线性信号分析方法对原始压力信号分解,重构气泡响应压力信号,结合图像分析方法,准确表征气泡运动行为对床层流型演变的影响。研究床层轴向不同位置的压力分布规律,分解重构振动−气流激励诱发作用下气泡多形态响应压力信号,识别提取响应压力信号的时域与频域特征;计算分析气泡响应压力信号熵值变化规律,提出了床层流型演变评价方法,并研究了−6+1 mm细粒煤在振动流化床中的分选特性。结果表明,气泡引起的响应压力信号主频为3 Hz。随着床层轴向高度的增加,气泡响应压力信号功率谱密度峰值增加,但在较大操作参数下压力信号主频消失,频带变宽,与气泡运动行为一致。通过分析响应压力信号香农熵能够表征床层流型变化规律,随着气速的增大,各振动参数下的信号香农熵呈先降低后增加的趋势,此时,床层流化状态依次为不均匀流化、均匀流化和剧烈流化。当f=20 Hz, A=2 mm, v=16 cm/s时,床层中下部空隙率分布均匀,随着床层轴向高度的增加,在振动与气流协同作用下,气泡聚并行为受到抑制,气泡的破裂较聚并频次高,较多小尺寸气泡集中在床层上部。通过研究细粒煤选后产品的灰分和产率可知,在最佳流化状态下,−6+1 mm细粒煤的分选效果相对较好,精煤灰分为8.3%,产率为87%。

     

    Abstract: This paper used a micro differential pressure sensor to collect bed pressure signals at different axial positions in a two-dimensional vibrating fluidized bed. The original pressure signals were decomposed by using nonlinear signal analysis methods to reconstruct the bubble response pressure signals. The influence of bubble motion on the evolution of bed flow patterns is accurately characterized with image analysis methods. The law of pressure distribution at different axial positions of the bed layer was studied. The pressure signals induced by vibration airflow excitation in the form of multiple bubble responses were decomposed and reconstructed, and the time-domain and frequency-domain characteristics of the response pressure signals were identifed and extracted. A method for evaluating the evolution of bed flow patterns was proposed by calculating and analyzing the entropy changes of bubble response pressure signals. The separation characteristics of −6+1 mm fine coal in a vibrating fluidized bed were studied. The results indicate that the main frequency of the response pressure signal caused by bubbles was 3 Hz. The peak power spectral density of the bubble response pressure signal increased with the axial height of the bed increased. However, the main frequency of the pressure signal disappeared, and the frequency band widened under larger operating parameters, which consisted with the behavior of bubble movement. The variation law of the bed flow pattern was characterized by analyzing the Shannon entropy of the response pressure signal. The Shannon entropy of the signal under various vibration parameters shows a trend of first decreasing and then increasing with the increase of gas velocity. The fluidization state of the bed flow is in the order of non-uniform fluidization, uniform fluidization, and severe fluidization. When f=20 Hz, A=2 mm, and v=16 cm/s, the porosity distribution in the middle and lower parts of the bed is uniform. The coalescence behavior of bubbles is suppressed under the synergistic effect of vibration and airflow with the increase of the axial height of the bed. The frequency of bubble rupture is relatively high, and more small-sized bubbles are concentrated in the upper part of the bed. It was found that under the optimal fluidized state, the sorting effect of −6+1 mm fine coal was relatively good, with a fine coal ash content of 8.3% and a yield of 87% by studying the ash content and yield distribution of fine coal after selection.

     

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