Ameeya Kumar Nayak - A Combined Multifluid-Population Balance Model for Vertical Gas-Liquid Bubble-Driven Flows Considering Bubble Column Operating Conditions

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      Publication Details (including relevant citation   information):

      Ind. Eng. Chem. Res. 2011, 50, 1786–1798

      10.1021/ie101664w  2011 American Chemical Society

      Published on Web 01/26/2011

      Abstract:

      Fluid particle coalescence and breakage phenomena are important   for optimal operation of many industrial

      process units. In particular, in bubble column reactors, the   bubble size distribution determines the interfacial

      momentum, heat, and mass transfer fluxes through the contact area   and may thus limit the overall process

      performance. To elucidate the mechanisms of the coalescence and   breakage phenomena, extensive wellplanned

      model-based experimental investigations are required. In   addition, a suitable modeling framework

      considering the microscopic phenomena is needed to interpret the   data achieving extended understanding of

      the important mechanisms, enabling the formulation of more   sophisticated mechanistic kernel functions. This

      article presents a combined multifluid-population balance model   for describing the behavior of vertical bubbledriven

      flows in bubble columns. In the present modeling approach, the   Maxwellian average transport equations

      for the disperse phase are formulated in terms of a density   function. The main advantage of this novel modeling

      concept is that we obtain a set of transport equations expressed   in terms of the set of internal coordinates. All

      the important moments like the void fraction, contact area,   Sauter mean diameter, average disperse phase

      velocity, mean mass, and momentum fluxes, etc., can then be   computed from the predicted density function

      in a post processing procedure. For model validation, the model   predictions are compared to experimental

      data gathered from the literature. The agreement between the   available data and the model predictions ais

      considered very good. It is concluded that the model is a viable   tool for parameter fitting of novel coalescence

      and breakage kernels provided that sufficient experimental data   are made available.

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