Numerical Simulation of Deep Bed Cooling Drying Process of Pellet Feed Based on Non-Equilibrium Model

In this study, a deep bed cooling drying model based on non-equilibrium model was established for pellet feed. The modified Verma model was used to describe the thin-layer drying rate, and the air temperature coefficient was introduced to optimize the convection heat transfer coefficient. The model was verified by the enterprise production data and laboratory-scale cooling and drying test. The results show that the improved model can accurately predict the changes in feed temperature and moisture and has good applicability to the cooling and drying process under different wind speeds, air temperatures, and humidity. The model lays a foundation for the development of an intelligent control system for a pellet feed cooler and has important engineering value for achieving real-time control of cooling process parameters, improving feed quality stability and energy savings, and reducing energy consumption.