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

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 obs...

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Bibliographic Details
Published in:The Korean journal of chemical engineering 2023, 40(1), 274, pp.248-254
Main Authors: Let, Sudipta, Bar, Nirjhar, Basu, Ranjan Kumar, Das, Sudip Kumar
Format: Article
Language:English
Subjects:
Artificial neural networks
Binary mixtures
Biotechnology
Catalysis
Chemistry
Chemistry and Materials Science
Elutriation
Fluidized beds
Genetic algorithms
Industrial Chemistry
Industrial Chemistry/Chemical Engineering
Materials Science
Parameters
Polymer
Sand
화학공학
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Summary: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.
ISSN:0256-1115
1975-7220
DOI:10.1007/s11814-022-1212-2