Abstract:Rotor-stator mixers are used in many industries to perform emulsification and de-agglomeration processes. Despite previous research, different modes of operation have not been compared in terms of flow and power characteristics. The aim of this study was to use CFD to investigate power and flow characteristics of a Silverson L5M mixer operating in batch and in-line mode.MRF was used along with the standard k − turbulence model for the simulations. Results suggest that batch mixers can be characterised in the s… Show more
“…This relationship, being linear and with a non‐zero intercept, has not been incorporated into any other predictions of the power number in stirred vessels. The same relationship has been found for both in‐line 23–25 and batch 26,27 rotor‐stator mixers operating in the fully turbulent regime. Interestingly it was found that when changing between batch and in‐line mode in a rotor‐stator mixer, not only is the relationship between the flow number and the power number the same form, but the empirical constants are also the same.…”
Impellers in stirred vessels are often characterized by dimensionless numbers such as the power and flow numbers. These are often crucial in determining mixing performance. Previous studies for high‐shear mixers have yielded correlations between the power, flow, and mixer geometries, since in these mixers the flow can be independently varied. For stirred vessels, dimensional analysis is typically used to develop such correlations, leading to less accurate predictive models. Here, we combine an analysis based on a balance of angular momentum balance with computational fluid dynamics simulations to comprehensively study the effect of impeller geometry on the relationship between power and flow. The results allow for the prediction of the flow generated by the impeller based on the easily measurable impeller power consumption and the geometrical dimensions of the impeller. The models are accurate over a wide range of geometries. Furthermore, we are able to predict both the primary and total flows.
“…This relationship, being linear and with a non‐zero intercept, has not been incorporated into any other predictions of the power number in stirred vessels. The same relationship has been found for both in‐line 23–25 and batch 26,27 rotor‐stator mixers operating in the fully turbulent regime. Interestingly it was found that when changing between batch and in‐line mode in a rotor‐stator mixer, not only is the relationship between the flow number and the power number the same form, but the empirical constants are also the same.…”
Impellers in stirred vessels are often characterized by dimensionless numbers such as the power and flow numbers. These are often crucial in determining mixing performance. Previous studies for high‐shear mixers have yielded correlations between the power, flow, and mixer geometries, since in these mixers the flow can be independently varied. For stirred vessels, dimensional analysis is typically used to develop such correlations, leading to less accurate predictive models. Here, we combine an analysis based on a balance of angular momentum balance with computational fluid dynamics simulations to comprehensively study the effect of impeller geometry on the relationship between power and flow. The results allow for the prediction of the flow generated by the impeller based on the easily measurable impeller power consumption and the geometrical dimensions of the impeller. The models are accurate over a wide range of geometries. Furthermore, we are able to predict both the primary and total flows.
“…For the purpose of revealing the effects of the operating parameters and structural parameters on the emulsification performance, the flow field is numerically studied using ANSYS Fluent. The multiple reference frames (MRF) model is adapted when solving the momentum equations for the entire domain; − that is, a rotating frame is used for the region containing the rotor while a stationary frame is used for other regions of the domain, as shown in Figure . Grids are generated in ANSYS Meshing to achieve the discretization of the computational domain and are further refined based on the velocity gradient .…”
Section: Methodsmentioning
confidence: 99%
“…The power consumption P of the high shear mixer can be calculated from eq ,where N is the rotor speed and M is the torque of the mixer. ,,, Subsequently, ε̅ of the mixer can be calculated by eq ,where ρ M is the density of the mixture and V is the volume of the fluid in the mixing chamber . The detailed liquid–liquid two-phase CFD modeling methods are shown in Appendix III in the Supporting Information.…”
For
industrial emulsification processes, it remains a challenge
to obtain desirable droplet size distribution (DSD) as well as a smaller span via facile and efficient routes. In this work, a novel
blind-side rotor is designed to assemble with the stator of a laboratory-scale
inline high-shear mixer equipped with an annular cylinder inside the
mixing chamber (bRS HSM). The effects of operating parameters, structural
parameters on the average droplet size, DSD, and span are experimentally investigated and compared with those of commercially
used toothed-type rotor-stator assembly. In addition, computational
fluid dynamics calculations are performed to investigate the influences
on the flow field of the fluid within the HSM. The results show that
the structure of the bRS HSM not only generates an optimal span but also reduces the energy consumption of the mixer,
which is more advantageous for production of emulsions with narrower
DSD. In the bRS HSM, Sauter mean diameter (d
32) and span decrease with increasing rotor
speed but decreasing flow rate of the continuous phase, while span decreases and then increases with increasing volume
fraction of the dispersed phase. Meanwhile, the effect of structural
parameters on span is nonmonotonic. Furthermore,
the artificial neural network (ANN) model is used to perform the correlation
of d
32 and span, providing
an estimation method to optimize the operating and structural parameters
of the inline HSM in the emulsification process.
“…The power consumption was calculated by the torque on the rotor in this work, which is shown in eq . , CFD simulation method is widely applied to evaluate the torque on the rotor in HSMs. − John et al validated the CFD simulation method to predict the power consumption by experimental measurements in both inline and batch HSMs.where N denotes the rotor speed and M represents the torque on the rotor.…”
Section: Experimental Methodsmentioning
confidence: 99%
“…37,38 CFD simulation method is widely applied to evaluate the torque on the rotor in HSMs. 39−42 John et al 40 validated the CFD simulation method to predict the power consumption by experimental measurements in both inline and batch HSMs.…”
The
effects of various structural and operating parameters on liquid–liquid
dispersion and selectivity of chemical reactions in inline single-row
teethed high shear mixers (HSMs) were studied by a parallel competitive
reaction system. The product distribution X
S was applied to evaluate the mass transfer characteristics. The results
show that X
S decreases evidently at first
in tandem with a slight increase as the rotor speed and flow rate
rise. The results also indicate that the structural parameters of
the rotors play a more important role in enhancing the mass transfer
efficiency at higher rotor speed. Compared with adjusting other structural
parameters, increasing the teeth number of the rotor can most significantly
decrease both X
S and Sauter mean drop
size d
32. Computational fluid dynamics
was applied to predict the flow and power characteristics. Furthermore,
a dimensionless correlation for X
S is
established to provide references for the design and optimization
of inline HSMs in liquid–liquid systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.