Information Transport In Gas-solid Fluidized Beds And Its Application Studies

Fluidization has been assumed as an efficient means of contacting different particles in various fields such as chemical, metallurgical and pharmaceutical industries. However, the researches in this field are still not enough, thus the industrial application of the fluidized beds is limited.In this paper, the mutual information theory and non-linear hydrodynamic theory are mainly used in our studies. Based on a large amount of experimental data, different signals of six channels are analyzed together at wide operation gas velocities. In the view of mutual information, information transport series between six channels are computed. This provides a new method to confirm the non-linear characteristic of gas-solid fluidized bed. Chaos theory are now widely used in the study of fluidized beds, however, due to many algorithm problems, the stability of the results are still poor. As an important component of non-linear theory, complexity theory is still rarely used into this study. Our stud}' showed that the arithmetic of complexity parameter is easy to calculate and the demand for the data length is low. These characters are much superior to the chaos parameters.On the basis of mutual information and nonlinear theory, we analyzed the different time serials of six channels at different regimes and got the information transform matrix (ITM). Then we get the mean value of the matrix and call this value as MITM. This parameter can identify the different fluidized regimes and it is superior to the traditional method.In our point of view, the study of fluidized bed should not only depend on the traditional linear analysis or single parameter measurement but also use multi-sensor technique. Based on this paper, further study using fuzzy information fusing theory will get more information from the ftuidized bed and this can help to apply the research results into industry applications.