Gas–Solid Distribution Theory in a Pulsed Fluidized Bed Based on the Intermediate Phase

Abstract

Fluidized bed technology is widely used in chemical industries. The introduction of pulsating energy into a traditional fluidized bed can effectively reduce the generation of bubbles and improve the fluidization quality. The accuracy of gas–solid distributions has a significant influence on the density control of fluidized beds. Here, a gas–solid distribution model and bed expansion prediction model were established with the wake taken as the intermediate phase to make up for the lack of a gas–solid distribution theory in a pulsed fluidized bed. The correlation coefficient of the theoretical model was validated using data obtained from collapse experiments. The linear fitting correlation between the bed expansion height H(p) and correction coefficient Y is quite good. The error of the modified model of the bed expansion ratio was found to be within 20%, which enables it to provide theoretical guidance for industrial applications of pulsed fluidized beds.