High shear rotor-stator mixers are widely used in process industries including the
manufacture of many food, cosmetic, health care products, fine chemicals and
pharmaceuticals. Rotor-stator devices provide a focussed delivery of energy, power & shear
to accelerate physical processes such as mixing, dissolution, emulsification and deagglomeration.
To reliably scale-up these devices we need to understand the relationship
between rotor speed and flow rate and the energy dissipated by these devices. In-line rotor
stator mixers differ from in-tank versions because the flow is usually controlled
independently of the rotor speed. For in-tank devices the turbulent power can usually be
adequately described by single impeller type power number1. For an in-line rotor-stator
mixer it is found that the power transmitted by the rotor drops in proportion to decreased
flow rate and a single power number is not adequate. Kowalski2 and Baldyga et al.3
proposed that the power draw of a rotor-stator mixer can be described by the expression;
P= POZ ρ N3 D5 + k1 M N2 D2 (1)
This expression consists of two main elements. Firstly a term reflecting the power required
to rotate the shaft in response to the resistance of the liquid in the process chamber where ρ
is density (kg/m3), N is rotor speed (rps) and D is rotor diameter (m). Secondly a term for the
centrifugal energy given to the fluid which is then convected away by the mass flow rate, M
(kg/s). The two constants POZ and k1 are normally obtained from a multi-linear regression a
large matrix of experiments covering a wide range of flow rates and rotor speeds 4.
In the experiments described herein, it has been found that good estimates of the constants
can be obtained using a simplified set of trials. In Method 1 we note that there are two sets
of conditions under which constant turbulent power numbers are obtained as follows.
• When the outlet valve is closed, so we have zero flow, then the power is a minimum
given by P = POZ ρ N3 D5 with the characteristic power number POZ
• When the valve is fully open and the rotor-stator device acts as the sole pumping agent
then the flow rate is proportional to the rotor speed (figure 1) with M = ρ k2ND3. Power
draw is a maximum given by Pmax = POU ρ N3 D5 which can also be expressed as:
POZ ρ N3 D5 + (POU – POZ)ρN3 D5 with the characteristic power number POU
Substituting for M in eq 1 & rearranging gives Pmax = (POZ + k1 k2) ρ N3 D5 = POU ρ N3 D5 (2)
which in turn yields k1 = (POU – POZ) / k2 (3)
Figure 2 presents an example of the values of PO determined for these two extreme cases
and illustrates that the values are constant for all rotor speed and figure 3 presents the
comparison of measured and predicted power draw for a range of conditions.
In Method 2 we consider the example of a fixed speed device where flow rate can be varied
by means of a backpressure valve. In this case the power is a linear function of the flow rate
(fig 4) where the intercept is given by POZ ρ N3 D5 and the gradient by k1 N2 D2 and thus POZ
and k1 can be determined. This method also has the advantage of being suitable with power

determined from a heat balance because it does not explicitly require measurement at zero
flow rate (this is possible with the torque measurement used above). However at low rotor
speeds and high flow rates the temperature rise is small the heat balance is subject to
significant errors although the accuracy was improved by lagging the equipment and careful
calibration of the temperature probes. Table 1 presents the values of the constants
determined by the two approaches for an example arrangement of rotor and stator. In the
presentation we will present results for other arrangements complete with statistical analysis. easy pay through payday loan

Pulp fibre suspensions display non-Newtonian rheology,
including a yield stress. Under certain mixer operating
conditions this creates caverns (regions of active mixing)
around the impellers with the cavern size affecting the
extent and quality of mixing attained. Due to the opacity
of pulp suspensions it is not possible to measure cavern
size with direct optical techniques, like photography.
Consequently two non-invasive techniques suitable for use
in opaque media were evaluated for determining the
cavern dimensions: electrical resistance tomography
(ERT) and ultrasonic Doppler velocimetry (UDV). The
agitation of several pulp suspensions in a 38 cm diameter
cylindrical vessel was studied using these methods over a
range of operating conditions. ERT is a non-invasive
technique that images differences in conductivity between
regions in the mixer using voltage measurements made at
the vessel periphery. Cavern measurement by ERT is very
rapid (data are collected within a few seconds) but it
suffers from poor spatial resolution (approximately 5 to
10% of the vessel diameter – from 1.9 to 3.8 cm in our
case). Two methods were evaluated for creating the
conductive environment imaged by ERT – the injection of
saline solution or the addition of small metallic tracer
particles to the region surrounding the impeller. UDV was
used to determine the cavern boundary by measuring the
locations at which suspension velocity fell to zero for
multiple linear paths through the vessel. While UDV
provided better spatial resolution of the cavern than ERT
(about 2 mm), multiple measurements (and consequently
significant time) were needed to build up the profile of the
cavern boundary.
Cavern size as a function of impeller rotation speed is
reported for a range of pulp suspension mixing conditions
(hardwood and softwood pulps, suspension mass
concentrations from 2 to 4%, two impeller offsets from the
wall, and two suspension height-to-chest diameter ratios)
in the 38-cm diameter cylindrical chest. A scaled version
of a commercially available axial flow impeller designed
for use in pulp suspension agitation (the Maxflo,
Chemineer Inc.) was used in the standard side-entering
configuration used for pulp stock chests. Measured cavern
diameters were compared against the axial force model
developed by Ammaullah et al. (1998) for predicting
cavern diameters in non-Newtonian fluids. The
discrepancy between the experimental data and model
predictions were fairly large, although they decreased with
increasing yield stress Reynolds number. The discrepancy
was attributed to the proximity of the impeller to the
vessel walls in the side-entering configuration studied. An
alternative correlation is presented for predicting the
cavern volume in pulp suspensions in this mixing
configuration based on the suspension yield stress

increasing yield stress Reynolds number. The discrepancy
was attributed to the proximity of the impeller to the
vessel walls in the side-entering configuration studied. An
alternative correlation is presented for predicting the
cavern volume in pulp suspensions in this mixing
configuration based on the suspension yield stress

PVC is in terms of revenue one of the most important
products of the chemical industry. Globally over 50% of
PVC manufactured is used in construction. Worldwide
80 % Percent of PVC is produced by suspension
polymerisation. In such processes mechanical agitation is
used to mix the monomer droplets into an aqueous liquid
phase. Growing markets and growing economies lead to
higher PVC production rates. Limits and demands in
space and transportation are changing the outfit of the
used mixing reactors. The height (H) is increasing with
constant diameter (D). Did most of the apparatuses start
with a ratio of height vs. diameter of one, ratios of two to
three are normal today and ratios of over four are expected
for the nearer future. Such unique geometries need to
fulfil the still growing exigencies in economy and
ecology. Therefore the analysis and optimisation of such
liquid/liquid systems is of major interest for the chemical
industry.
The step of scaling up a reactor from pilot plant to
industrial scale is an issue where much empiricism is still
used and where expensive and time-consuming
experimental programs are usually required [VivaldoLima
et al. 1997] and only accurate prediction of system
behaviour will change that situation. To develop such
prediction methods cooperation was set up between the
Vinnolit GmbH & Co. KG and the TU-Berlin.
From the different tasks for scale up and for the
production process of PVC the dispersion of the two
immiscible liquids is of major interest for this work. So
the drop size distributions of two model systems,
chlorobutanol/water and toluene/water, were analysed.
Here parameter variation for reactor height vs. diameter
(1.0 to 4.5), stirrer type (Rushton turbine, Retreat Curve
Impeller, single and multi-stage stirrer systems),
dissipation rate, dispersed phase fraction (5 to 50 Percent)
and influence of colloids were carried out for the named
systems. For the mathematical description of such drop
size distributions (DSD) a quantitative understanding of
drop breakage and coalescence mechanisms is essential to
develop predictive models. The mathematical model used
here is the Population Balance Equation (PBE).
After adaptation and enhancements of classical models
from the literature (Coulaloglou & Tavlarides 1977;
Kumar & Ramkrishna 1996, Alopaeus et al. 2002)
simulations for the presented system were carried out. The
use of colloids is inevitable for the suspension
polymerisation and resulting in a strong inhibition of
coalescence. So a major focus on breakage submodels of
the PBE was set. Therefore single drop breakage events

were carried out to analyze crucial influence parameters of
the breakage rate like breakage time and energy
dissipation rate. These results were used to validate and
enhance the breakage submodels of the PBE. Then the
simulation results from different models were compared
with the experimental data and each other.
METHODS
A special in-situ endoscope technique has been developed
[Ritter & Kraume 2000; Maaß et al. 2007b]. With this
technique, drop size distributions for all phase fractions
even under transient conditions can be determined with
high time resolution . The Population Balance
Equation is applied with the intention to calculate these
transient drop size distributions in the stirred system. In
order to solve the transient space averaged PBE, the
commercial numerical solver PARSIVAL® (Particle Size
Evaluation) [Wulkow et al. 2001] is applied. For the
parameter estimation the experimental data of the stirred
vessel are used. The fitted parameters had to be
significant, i.e. the confidence interval was required to be
small compared to the value of the parameter, and they
had to be independent from each other.
The single drop experiments are carried out in an in house
developed breakage cell (Maaß et al. 2007a).