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Received April 20, 2022
Accepted June 19, 2022
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
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Minimum elutriation velocity of the binary solid mixture - Empirical correlation and genetic algorithm (GA) modeling
1Department of Chemical Engineering, University of Calcutta, 92, A. P. C. Road, Kolkata - 700 009, India 2Present address: St. James’ School, 165, A. J. C. Bose Road, Kolkata - 700 014, West Bengal, India
drsudipkdas@gmail.com, skdchemengg@caluniv.ac.in
Korean Journal of Chemical Engineering, January 2023, 40(1), 248-254(7), 10.1007/s11814-022-1212-2
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Abstract
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 Ume decreases with the increase of the lighter particles in the binary mixture, and the Ume 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.
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Nag S, Mondal A, Roy DN, Bar N, Das SK, Environ. Technol. Innov., 11, 83 (2018)
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Wen CY, Chen LH, AIChE J., 28, 117 (1982)
Guha SK, Kumar A, Gupta PS, Can. J. Chem. Eng., 50, 602 (1972)
Geldart D, Baeyens J, Pope DJ, Van De Wijer P, Powder Technol., 30, 195 (1981)
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Choi JH, Choi KB, Kim P, Shun DW, Kim SD, Powder Technol., 92, 127 (1997)
