Modelling of high viscosity oil drop breakage process in intermittent turbulence
Introduction
Drop size distribution in immiscible liquid–liquid dispersion evolves due to drop break-up and coalescence. These phenomena are often encountered in industrial processes such as liquid–liquid extraction, emulsion polymerization, suspension polymerization, oil–water separation and multiphase reactions. In dilute dispersions coalescence can be neglected, so drop size is determined entirely by the breakage process.
Deformation and breakage depend on the flow pattern around the drop. Early studies were focused on the analysis of drop deformation in simple shear and hyperbolic flows (Taylor, 1932; Grace, 1982, Bentley and Leal, 1986) or on estimation of the maximum stable drop size (Kolmogorov, 1949, Hinze, 1955, Shinnar, 1961) in turbulent flows. Bławzdziewicz et al. (1998) presented the first direct numerical simulations of three-dimensional drop break-up in isotropic turbulence, but their work was restricted to drops smaller that Kolmogorov microscale. According to the authors’ knowledge similar analyses have not been performed for drops whose diameters are within the inertial subrange of turbulence. The reason is the highly complicated flow field. Instead, there are many investigations focusing on estimation of the maximum stable drop size, as well as on formulation of the statistical models that enable us to predict transient drop size distributions. Most often it is the systems characterized by low dispersed phase viscosity that are studied. However, the viscosity of the dispersed phase was taken into account in modeling as early as in 1949 by Kolmogorov, and independently by Hinze (1955). They introduced the viscosity group which is the ratio of internal viscosity force to an interfacial tension force. Effects of the dispersed phase viscosity on maximum stable drop size were studied by Arai et al. (1977), Davies (1985), Calabrese et al. (1986), Lagisetty et al. (1986), Kumar et al. (1992).
Most of break-up kernels were proposed for drops of low viscosity. An exception is the model developed by Nambiar et al., 1992, Nambiar et al., 1994 that is based on the concept of Lagisetty et al. (1986). Nambiar et al., 1992, Nambiar et al., 1994 associated the breakage mechanism, frequency and daughter droplet distribution with the size of eddies interacting with a drop.
All breakage models mentioned above were derived using traditional method of description of the turbulent field structure based on the Kolmogorov–Obukhov energy cascade theory. This means that the impact of intermittent character of turbulent flow including the effect of the system scale on the maximum stable drop size (Konno et al., 1983) and the rate of drop breakage or the drift of the exponent on Weber number in time are omitted. The influence of fine scale intermittency on drop break up was considered by Bałdyga and Podgórska (1998).
The aim of this work is to present the improved interpretation of breakage of viscous drops in intermittent turbulent flow. While most papers devoted to breakage of viscous drops are limited to comparison of predicted and measured maximum or mean drop size, the present paper focuses on drop size distribution, which enables better discrimination of models. Drop size distributions predicted while relying on the breakage rate models that are based on multifractal representation of the microstructure of turbulence and while accounting for different breakage mechanisms at different stages of the process will be compared with experimental data.
Section snippets
Experimental
Experiments were performed in a completely filled flat-bottom stirred tank with the diameter of and height of equipped with a standard stainless steel six-blade Rushton turbine having the diameter of situated at the mid-plane of the vessel, and with four equally spaced stainless steel baffles. The width of each baffle was equal to . The vessel was enclosed by stainless steel cover. The high value of the ratio of impeller to tank diameter and bottom clearance equal to the
Model formulation
Drop size distribution and its evolution in time are predicted by solving the population balance equationHere is number density of drops having volume at time , is the daughter drop distribution and represents the number of daughter drops formed during breakage of mother drop of size . In the stirred tank the breakage takes place mainly in the vicinity of the impeller where the locally averaged energy dissipation
Results and discussion
Measured drop size distributions show that drop diameters are within the inertial subrange of turbulence, i.e., they are larger than Kolmogorov scale. The classical Kolmogorov scale, in the impeller zone ( for ) and for the lowest impeller speed is equal to , while the minimum Kolmogorov scale, , for , equals to . In the case of the highest impeller speed, , the respective values are and .
The population
Conclusions
Breakage of viscous drops in turbulent flow is a very complex process and different mechanisms of breakage occur most probably simultaneously. It has been shown that the proper prediction of the influence of dispersed phase viscosity and impeller speed on the mean drop size and its evolution in time does not guarantee the proper shape of drop size distributions. Different types of breakage were taken into account and the possibility of their dominance at different stages of breakage process was
Notation
constants in breakage model drop diameter, m maximum stable drop size, m impeller diameter, m multifractal spectrum breakage rate, integral scale of turbulence, m number density of drops, probability density function for tank diameter, m Langrangian time macroscale in the inertial subrange, s velocity, drop volume, Greek letters multifractal exponent daughter drop distribution, constants in viscous drop breakage model maximum strain
References (33)
- et al.
The influence of fluid elasticity on the drag coefficient for creeping flow around a sphere
Journal of Non-Newtonian Fluid Mechanics
(1980) Drop sizes of emulsions related to turbulent energy dissipation rates
Chemical Engineering Science
(1985)- et al.
A moment methodology for coagulation and breakage problemsPart 3—generalized daughter distribution functions
Chemical Engineering Science
(2002) - et al.
Deformation of newtonian drop in a viscoelastic matrix under steady shear flow
Experimental validation of slow flow theory. Journal of Non-Newtonian Fluid Mechanics
(2003) - et al.
On the solution of population balance equations by discretization—I. A fixed pivot technique
Chemical Engineering Science
(1996) - et al.
A multi-stage model for drop breakage in stirred vessels
Chemical Engineering Science
(1992) - et al.
Breakage of viscous and non-newtonian drops in stirred dispersions
Chemical Engineering Science
(1986) - et al.
A new model for breakage frequency of drops in turbulent stirred dispersions
Chemical Engineering Science
(1992) - et al.
A two-zone model of breakage frequency of drops in stirred dispersions
Chemical Engineering Science
(1994) - et al.
The influence of impeller type on mean drop size and drop size distribution in an agitated vessel
Chemical Engineering Science
(1999)
Scale-up effects on the drop size distribution of liquid–liquid dispersions in agitated vessels
Chemical Engineering Science
Investigation of local drop size distributions and scale-up in stirred liquid–liquid dispersions
Effect of dispersed-phase viscosity on the maximum stable drop size for breakup in turbulent flow
Journal of Chemical Engineering of Japan
Interpretation of turbulent mixing using fractals and multifractals
Chemical Engineering Science
Drop break-up in intermittent turbulencemaximum stable and transient sizes of drops
Canadian Journal of Chemical Engineering
An experimental investigation of drop deformation and break-up in steady, two-dimensional linear flows
Journal of Fluid Mechanics
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