Minimum elutriation velocity of the binary solid mixture -Empirical correlation and genetic algorithm (GA) modeling

摘要

The solid-water fluidized bed was investigated with a binary mixture of irregularly shaped sand particles. A binary mixture was produced by mixing particles of sand for different weight ratios. The influence of various operating parameters on minimum elutriation velocity was investigated. It was observed that the U_(me) decreases with the increase of the lighter particles in the binary mixture, and the U_(me) increases with the increase of column diameter. A simplified empirical correlation has been developed to predict minimum elutriation velocity with acceptable statistical parameters. Application concerning a hybrid of artificial neural network (ANN), and genetic algorithm (GA), is successfully predicted.