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Segregation characteristics of irregular binaries in gas solid fluidized beds——An ANN-approach

Segregation characteristics of irregular binaries in gas solid fluidized beds——An ANN-approach
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摘要 Binary mixtures of irregular materials of different particle sizes and/or particle densities are fluidized in a 15-cm diameter column with a perforated plate distributor. An attempt has been made in this work to determine the segregation characteristics of jetsam particles for both the homogeneous and heterogeneous binary mixtures in terms of segregation distance by correlating it to the various system parameters, viz. initial static bed height, height of a layer of particles above the bottom grid, superficial gas velocity and average particle size and/or particle densities of the mixture through the dimensional analysis. Correlation on the basis of Artificial Neural Network approach has also been developed with the above system parameters thereby authenticating the development of correlation by the former approach. The calculated values of the segregation distance obtained for both the homogeneous and heterogeneous binary mixtures from both the types of ftuidized beds (i.e. under the static bed condition and the ftuidized bed condition) have also been compared with each other. Binary mixtures of irregular materials of different particle sizes and/or particle densities are fluidized in a 15-cm diameter column with a perforated plate distributor. An attempt has been made in this work to determine the segregation characteristics of jetsam particles for both the homogeneous and heterogeneous binary mixtures in terms of segregation distance by correlating it to the various system parameters, viz. initial static bed height, height of a layer of particles above the bottom grid, superficial gas velocity and average particle size and/or particle densities of the mixture through the dimensional analysis. Correlation on the basis of Artificial Neural Network approach has also been developed with the above system parameters thereby authenticating the development of correlation by the former approach. The calculated values of the segregation distance obtained for both the homogeneous and heterogeneous binary mixtures from both the types of ftuidized beds (i.e. under the static bed condition and the ftuidized bed condition) have also been compared with each other.
出处 《Particuology》 SCIE EI CAS CSCD 2008年第3期199-206,共8页 颗粒学报(英文版)
关键词 Gas-solid fluidization Segregation distance Static bed condition Fluidized bed condition Irregular binaries and artificial neural network Gas-solid fluidization Segregation distance Static bed condition Fluidized bed condition Irregular binaries and artificial neural network
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参考文献6

  • 1Dechsiri, C.,Bosman, J. C.,Dehling, H. G.,Hoffmann, A. C.,& Hui, G. Proceedings of International Congress on Particle Technology (PARTEC-2001) . 2001
  • 2Sahoo, A,& Roy, G. K.Artificial Neural Network approach to segrega-tion characteristic of binary homogeneous mixtures in promoted gas–solid fluidized beds[].Powder Technology.2007
  • 3Tanimoto, H,Chiba, S.,Chiba, T.,& Koboyasi, H.Jetsam descent induced by a single bubble passage in three-dimensional gas-fluidized beds[].Journal of Chemical Engineering of Japan.1981
  • 4L. G. Gibilaro and P. N. Rowe.A model for a segregating gas fluidised bed[].Chemical Engineering Science.1974
  • 5Hoffmann. A. C,,Janssen, L. P. B. M.,& Prins. J.Particlesegregation in fluidised binary mixtures[].Chemical EngineeringSerence.1993
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