摘要
以无色小粒径玻璃珠和空气为实验介质,利用高速摄影系统在气固流化床实验装置上拍摄,并获取到气固流化床5种典型流型的空间图像信息。采用多重分形谱参数分层次地刻画了流型空间信息内部的精细结构,突出了异常局部变化特征,从复杂的流型图像数据中选出具有明显个性特征,与分形盒维数结合表征流型。结果表明,多重分形谱比简单的分形盒维数能提供更多的流型特征的信息,且流型特征的提取结果更符合实际情况,可被有效地用于气固流化床流型识别和运动机理分析的过程中。
Taking small particle-sized colorless beaded glass and air as test medium, 5 typical flow pattern images of the gas-solid two-phase flow were captured by using high-speed camera system in the experimental apparatus of gas- solid fluidized bed. The parameters of multi-fractal spectrum were used to describe the refined structure of flow pattern spatial information at different levels, and highlight the characters of abnormal local changes. Thus, the distinct thumbprint was selected from the complicated flow pattern image data, which could characterize the flow pattern by combining with fractal box dimension. The results show that the muhi-fractal spectrum can provide more comprehensive flow pattern characteristic information than simple fractal box dimension. The extraction results of flow pattern characteristic are more in line with the actual situation. It can be used effectively in the flow pattern identification and motion mechanism analysis of gas-solid fluidized bed.
出处
《化学工程》
CAS
CSCD
北大核心
2010年第4期25-28,44,共5页
Chemical Engineering(China)
基金
东北电力大学研究生创新基金资助(200704132)
关键词
气固流化床
流型图像
分形盒维数
多重分形
gas-solid fluidized bed
flow pattern images
fractal box dimension
muhi-fractal
