Hydrodynamic characteristics of tapered fluidized bed in ternary mixture using Artificial Neural Network

Abstract

Tapered beds are extensively used in various industrial chemical processes. These beds are remedy for certain drawbacks of the gas-solid system. To study the hydrodynamic characteristics of homogeneous ternary mixtures, several experiments have been carried out for glass beads as a material with different compositions of various sizes of particles. The correlations for bed expansion ratio and fluctuation ratio are developed using system parameters as initial static bed height, average particle diameter and superficial gas velocity by dimensionless analysis. The experimental values are compared with correlations developed by Artificial Neural Network (ANN) and Dimensional Analysis (DA) approach. The correlations obtained by ANN and DA are agreed well with experimental values.