在流化床乙烯气相聚合过程中,由于传热速率较低(与淤浆工艺相比),聚合物小颗粒容易聚集在一起形成结块,若不及时采取措施,将影响流化状态.而不良的流化状况经常导致装置不能满负荷、长周期地运转,严重时会“熔床”,继而停产.
Agglomerations could be detected in a fluidized bed by utilizing wavelet analysis, on the basis of the mechanism that AE signals with different frequencies were emitted when the particles with different sizes impacted the wall. The acoustic signals of particles were investigated in an externally heated fluidized bed Ф100 in diameter and in a pilot-scale industrial fluidized bed Ф420 in diameter respectively. In those experiments, the number of small particles decreased obviously while the number of large particles increased due to agglomeration. The signals were decomposed by multi-scale wavelet analysis. While the acoustic energy ratio increased from low scale to high scale layer by layer, the main frequency of acoustic signals transferred from high frequency to low frequency. Meanwhile, the d6th, d7th scales, which represented large size particles, increased suddenly, indicating the occurrence of agglomerations. Thus, the agglomerations in fluidized bed could be quickly and exactly detected online by the acoustic emission technique.