Fluidized bed dryers: Dynamic modelling and control

Abstract

Fluidized bed drying finds important applications in the chemical industry on account of the following advantages: a) rapid exchange of heat and mass between drying media and particles yields the desired product quality and reduces the overall drying time and b) easy handling of feed and product. There is much scope for improving the existing modelling techniques as applied to predicting the performance characteristics of the dryers. This should provide a sound basis for the implementation of appropriate control strategies. This report is a review of prevailing modelling, identification techniques and control strategies. Hopefully, the up to date information in this paper will be found

Linear Identification and Design of Optimal Controller for Multistage Fluidized Bed Dryer

“…They have extended their previous model for continuous and dynamic conditions and executed population balances. Panda and Rao [2] have attempted a review to provide the updated information on modelling and control of fluidized bed dryers [2]. They have reported that the moisture measurement poses additional problems for control and that there is need to improve control strategies in order to obtain optimal performance from dryers.…”

Designing and Optimizing a Neural Network for the Modeling of a Fluidized-Bed Drying Process

“…Heat and mass transfer between the two phases are also assumed. Other authors − have used a three-phase model that involves a dilute phase (bubbles), the interstitial gas, and the solid particles. Simplified models can be valid under some circumstances but not usually in many real situations.…”