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Bubble Size Prediction in Gas–Solid Fluidized Beds using Genetic Programming


Affiliations
1 Solid and Hazardous Waste Management Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
2 Department of Chemical Engineering, Laxminarayan Institute of Technology, Amravati Road, Nagpur 440 033, India
3 Chemical Engineering and Process Development (CEPD) Division, CSIR-National Chemical Laboratory, Dr Homi Bhabha Road, Pune 411 008,, India
 

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.

Keywords

Bubble Diameter, Bubble Motion, Fluidized Bed, Genetic Programming.
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  • Bubble Size Prediction in Gas–Solid Fluidized Beds using Genetic Programming

Abstract Views: 365  |  PDF Views: 120

Authors

R. R. Sonolikar
Solid and Hazardous Waste Management Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
M. P. Patil
Solid and Hazardous Waste Management Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India
R. B. Mankar
Department of Chemical Engineering, Laxminarayan Institute of Technology, Amravati Road, Nagpur 440 033, India
S. S. Tambe
Chemical Engineering and Process Development (CEPD) Division, CSIR-National Chemical Laboratory, Dr Homi Bhabha Road, Pune 411 008,, India
B. D. Kulkarni
Chemical Engineering and Process Development (CEPD) Division, CSIR-National Chemical Laboratory, Dr Homi Bhabha Road, Pune 411 008,, India

Abstract


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.

Keywords


Bubble Diameter, Bubble Motion, Fluidized Bed, Genetic Programming.

References





DOI: https://doi.org/10.18520/cs%2Fv115%2Fi10%2F1904-1912