Premium
Bubble size distribution modeling in stirred gas–liquid reactors with QMOM augmented by a new correction algorithm
Author(s) -
Petitti Miriam,
Nasuti Andrea,
Marchisio Daniele L.,
Vanni Marco,
Baldi Giancarlo,
Mancini Nicola,
Podenzani Fabrizio
Publication year - 2010
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.12003
Subject(s) - coalescence (physics) , bubble , computational fluid dynamics , mechanics , eulerian path , nyström method , statistical physics , population , quadrature (astronomy) , stability (learning theory) , mathematics , mathematical optimization , computer science , algorithm , physics , mathematical analysis , boundary value problem , demography , lagrangian , machine learning , sociology , astrobiology , optics
Local gas hold‐up and bubbles size distributions have been modeled and validated against experimental data in a stirred gas–liquid reactor, considering two different spargers. An Eulerian multifluid approach coupled with a population balance model (PBM) has been employed to describe the evolution of the bubble size distribution due to break‐up and coalescence. The PBM has been solved by resorting to the quadrature method of moments, implemented through user defined functions in the commercial computational fluid dynamics code Fluent v. 6.2. To overcome divergence issues caused by moments corruption, due to numerical problems, a correction scheme for the moments has been implemented; simulation results prove that it plays a crucial role for the stability and the accuracy of the overall approach. Very good agreements between experimental data and simulations predictions are obtained, for a unique set of break‐up and coalescence kinetic constants, in a wide range of operating conditions. © 2009 American Institute of Chemical Engineers AIChE J, 2010