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Bubble size prediction in gas–solid fluidized beds using genetic programming

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Title Bubble size prediction in gas–solid fluidized
beds using genetic programming
 
Creator Sonolikar, R. R.
Patil, M. P.
Mankar, R. B.
Tambe, S. S.
Kulkarni, B. D.
 
Subject Solid and Hazardous Wastes
Solid Waste Treatment & Disposal
 
Description The hydrodynamics of a gas–solid fluidized bed (FB)
is affected by the bubble diameter, which in turn
strongly influences the performance of a fluidized bed
reactor (FBR). Thus, determining the bubble diameter
accurately is of crucial importance in the design and
operation of an FBR. Various equations are available
for calculating the bubble diameter in an FBR. It has
been found in this study that these models show a
large variation while predicting the experimentally
measured bubble diameters. Accordingly, the present
study proposes a new equation for computing the
bubble diameter in a fluidized bed. This equation has
been developed using an efficient, yet infrequently
employed computational intelligence (CI)-based datadriven
modelling method termed genetic programming
(GP). The prediction and generalization performance
of the GP-based equation has been compared with
that of a number of currently available equations for
computing the bubble diameter in a fluidized bed and
the results obtained show a good performance by the
newly developed equation.
 
Publisher Indian Academy of Sciences
 
Date 2018
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://neeri.csircentral.net/1181/1/1904.pdf
Sonolikar, R. R. and Patil, M. P. and Mankar, R. B. and Tambe, S. S. and Kulkarni, B. D. (2018) Bubble size prediction in gas–solid fluidized beds using genetic programming. Current Science, 115 (10). pp. 1904-1912. ISSN 0011-3891
 
Relation https://www.currentscience.ac.in/
http://neeri.csircentral.net/1181/