作者: Anjun Li , Kun Wang , Zhenbo Wang , Liyun Zhu , Xiaogang Xu
DOI: 10.1016/J.POWTEC.2020.09.005
关键词: Scale (ratio) 、 Mechanics 、 Mesoscale meteorology 、 Materials science 、 Cluster (physics) 、 Cyclone 、 Energy (signal processing) 、 Wavelet 、 Resolution (electron density) 、 Wavelet transform 、 General Chemical Engineering
摘要: Abstract The wavelet transform and rescaled range analysis were employed to reveal the multi-scale interactions between particles fluids in a gas-solid cyclone reactor. A wavelet-threshold criterion was subsequently specified identify clusters. By established threshold, cluster dynamics can be determined from transient signal. Experimental results show that micro-, meso-, macro-scale characteristics described by different decomposed sub-signals. normalized energy of original solid holdup signals is mainly distributed on mesoscale signals. Cluster found rather complex near outer wall. relationship time fraction clusters average concentration wall further analyzed, dividing reactor into dilute regions dense regions. Finally, prediction model local solids vicinity established.