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

Title Bubble size prediction in gas-solid fluidized beds using genetic programming
Publication TypeJournal Article
Year of Publication2018
AuthorsSonolikar, RR, Patil, MP, Mankar, RB, Tambe, SS, Kulkarni, BD
JournalCurrent Science
Volume115
Issue10
Pagination1904-1912
Date PublishedNOV
Type of ArticleArticle
ISSN0011-3891
AbstractThe 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 data-driven 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.
DOI10.18520/cs/v115/i10/1904-1912
Type of Journal (Indian or Foreign)Foreign
Impact Factor (IF)0.883
Divison category: 
Chemical Engineering & Process Development

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