Computational Fluid Dynamics 2010
DOI: 10.5772/7099
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Investigation of Mixing in Shear Thinning Fluids Using Computational Fluid Dynamics

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Cited by 6 publications
(6 citation statements)
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“…This was accomplished through four key areas. First, empirical studies were used to quantify the mass transfer capabilities of several different reactors; second, Computational Fluid Dynamics (CFD) was used to assess the impact of certain baffle and impeller geometries; third, correction schemes were developed and applied to the experimental data; and fourth, dimensionless correlations were created to act as a guide for future production scale fermenter design [18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…This was accomplished through four key areas. First, empirical studies were used to quantify the mass transfer capabilities of several different reactors; second, Computational Fluid Dynamics (CFD) was used to assess the impact of certain baffle and impeller geometries; third, correction schemes were developed and applied to the experimental data; and fourth, dimensionless correlations were created to act as a guide for future production scale fermenter design [18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…In summary, for a rigid body, the overall equation of state is defined as (5) where the position and orientation describes its spatial information and the linear and angular momentum describes the velocity information. The mass m and the inertia I are constants, which need to be defined during the pre-processing of the model.…”
Section: Rigid Body Modeling Of Particlesmentioning
confidence: 99%
“…In order to study the mechanism of shear thickening, only Eulerian CFD models had been used in research thus far to study the specific behavior of non-Newtonian Fluids, such as the shear thickening fluids [4] and the shear thinning fluids [5]. Other computer models used various techniques such as the Stokesian dynamics techniques [6], the dissipative particles dynamics [7] and the Lagrange multiplier fictitious domain method [8], to simulate particle behavior in suspensions for particulate or granular flows.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome the numerical instabilities caused by the Herschel-Bulkley model due to very high viscosity (approaching infinity) at small shear rates, the upper end of the viscosity is constrained to a user-specified high value. Research of single phase viscoplastic fluids [22][23][24][25] has been actively pursued due to their wide usage in many industrial and biological applications and processes. This wide body of past work on viscoplastic fluids has been comprehensively reviewed in a recent review article by Balmforth, Frigaard, Ovarlez [26].…”
Section: Overview Of Non-newtonian Multiphase Flow Theory and Modelingmentioning
confidence: 99%