Prediction of minimum fluidization velocity in pulsed gas-solid fluidized bed

Fluidized bed technology plays a vital role in petrochemistry and coal separation. To enhance fluidization stability, the flow is periodically introduced into the gas-solid fluidized bed to form a pulsed gas-solid fluidized bed (PGFD). As the main fluidization parameter, the minimum fluidization velocity (u(mf)) can reflect the change of the critical state of particles in the PGFD, directly affecting the study of two-phase distribution in the bed. Due to lack of theoretical study on u(mf) in PGFD, the work proposed a novel method to predict u(mf) combined with soft sphere model. Meanwhile, the spring-damping model (SDM) and the resonance force model (RFM) were developed under the action of pulsating airflow. A theoretical model of u(mf) was then derived for PGFD based on experimental stress analysis of particles. The error of the new model is small, which is in good agreement with the data in the existing literature and present work.

Automated summary

This study proposed a novel method to predict the minimum fluidization velocity (u(mf)) in a pulsed gas-solid fluidized bed (PGFD) combined with the soft sphere model. A theoretical model of u(mf) was derived for PGFD based on experimental stress analysis of particles, showing good agreement with existing literature data.