Volume 3 - Year 2016 - Pages 1-7
DOI: 10.11159/jffhmt.2016.001
Finite Element Analysis of Vane Geometry for Shear Thinning Materials
Behzad Nazari1, Shahram Niazi2, Mahmoud Zohrabi3, Douglas W. Bousfield1
1University of Maine, Department of Chemical and Biological Engineering
5737 Jenness Hall Rm 117, Orono, ME, USA 04469
behzad.nazari@maine.edu; bousfld@maine.edu
2Amirkabir University of Technology, Department of Chemical
Engineering
Hafez Ave, Tehran, Iran 15874
shahram.niazi@aut.ac.ir
3Yasouj University, Department of Mechanical Engineering
Daneshgah Ave, Yasouj, Iran 75914
mahmoud.zohrabi@std.yu.ac.ir
Abstract - Various materials such as cellulose nanofibers (CNF) suspensions contain non-isotropic structures that can lead to strong shear thinning behaviour in parallel-plate geometries; a slip layer seems to form between the plate and the material in such standard geometries. The link between parallel-plate results and data from vane geometries is not clear in the literature. The power-law viscosity model was used to fit the steady-shear results from parallel-plate geometry. The torque-rotation rate results were also obtained from a vane geometry for CNF suspensions at three solids levels (2-4 wt%). A finite element method was used to solve the flow equations for calculating the torque applied on the solid surfaces in the vane geometry. The power-law model gave reasonable results for the prediction of torque. It was shown by shear rate distributions that the shearing layers of the fluid existed predominately at radial positions close to the vane radius and the viscosity value at this shear rate becomes important in determination of the torque.
Keywords: Vane rheometer, Finite element, Non-Newtonian fluids, Cellulose nanofibers
© Copyright 2016 Authors - This is an Open Access article published under the Creative Commons Attribution License terms Creative Commons Attribution License terms. Unrestricted use, distribution, and reproduction in any medium are permitted, provided the original work is properly cited.
Date Received: 2015-08-17
Date Accepted: 2016-01-18
Date Published: 2016-02-05
1. Introduction
Colloidal suspensions are a challenge to characterize in terms of rheology because of a number of issues such as wall depletion of particles, time dependent effects caused by flocculation, and structure formation generated by flow. Standard rheological tests give much insight into these phenomena but the use for this data to predict the flow behaviour in complex geometries is not always straight forward, especially for concentrated suspensions that are far from Newtonian behaviour. Cellulose nanofibers (CNF) are produced by the mechanical breakup of wood fibres, by fermentation of specific bacteria that produce nanoscale cellulose, or by acid hydrolysis of cellulosic materials. Attributable to their special physical and chemical properties as well as their inherent renewability and sustainability, these fibres have attracted enormous attention [1]-[5]. Seeking for new applications for these materials, the flow properties of CNF-water suspensions are important to understand. Probably owing to the fibres ability to form network structures and flocs, CNF suspensions show strong shear-thinning behaviour even at solids of 1 wt% [6]-[8]. The power-law flow curves is commonly used for mildly attractive colloids [9] including CNF [10]. At very low shear rates, the colloidal fibres are randomly oriented without getting influenced by the flow-induced alignment. This gives rise to the Newtonian plateau where the Brownian diffusion is effectively competing with flow. The Newtonian plateau is followed by the shear-thinning regime where hydrodynamic forces impose order, particles align along flow streamlines and viscosity decreases [11]. This behaviour is also observed in the flow of polymer melts and solutions [12], [13]. A vane rheometer consists of an impeller rotating in a baffled cylinder geometry. This geometry supposedly minimizes slip between the sample and the solid walls. For complex fluids such as high-solids suspensions or polymeric liquids, vane geometry facilitates an accurate and direct measurement of yield stress [14]-[16]. However, owing to the complex flow pattern in vane, it is a challenging to relate the measured quantities such as shaft torque and angular velocity to rheological properties; namely viscosity as well as storage and loss moduli [16]. Several researchers [17], [18], assuming zero-secondary flow at low shear rates for the vane, reported that the geometry can be used for measuring rheological properties, but it is clear that high shear rates cause secondary flow regimes within the geometry. Additionally, even though fluid flow in vane geometries has been studied by a number of researchers [16], [19], [20], the interpretation of the experimental results is not quantitative perhaps attributable to lack of an analytical model. To obtain velocity, pressure, and other flow parameters in a vane geometry, numerical methods such as finite element can solve conservation equations. The study of two-dimensional fluid flow in the vane geometry is prevalent [21], [22], however this doesn’t address the vertical-direction flow that a three-dimensional model can describe. Several researchers [23]-[25] made good use of Couette analogy to calculate shear rate and stress from angular velocity and torque measured by vane. Obtained by magnetic resonance imaging measurements, velocity profiles revealed a deviation from cylindrical symmetry hypostasised in Couette analogy [26]. This perhaps reflects the complexity of flow regime in vane geometry. Recently, a three dimensional finite element model for the flow of a Newtonian fluid in vane geometry was developed to obtain the velocity and pressure profiles throughout the geometry. In a recent study [27], velocity and pressure profiles throughout vane geometry was calculated by means of a three-dimensional finite element model for the flow of Newtonian fluids. It was reported that by surface integrations of the numerical data of total stress, the torque applied on the solid surfaces can be predicted and subsequently compared to experimental data. Because of the extreme shear-thinning nature of CNF suspensions, it is critical to use non-Newtonian viscosity equations for modelling the flow of these systems. Here, the power-law model is used to fit data obtained from steady-shear flow in parallel-plate geometry. The model is used in a three dimensional finite element framework to predict velocity, pressure and torque in a vane geometry. The accuracy of the model is tested in contrast with experimental data. Utilizing velocity and shear rate profiles, the validity of Couette analogy is also studied in the present case.
2. Theoretical background
In vector form, the steady mass and momentum balance equations are represented by the following expressions:
where is the velocity vector, is the fluid density, is pressure, and is the extra stress. is the body force vector. To solve Equation 1 and 2, appropriate constitutive relations are demanded. A starting point is the expression for a viscous fluid given as
The dynamic viscosity depends on the velocity field. In viscous fluids equations, is related to shear rate calculated by
where, Δu is the summation of velocity gradient and velocity gradient transpose tensors resulting in II∆u showing the second invariant defined as
For the fluid in this study, the power-law viscosity equation was used as follows:
where and are the power-law constant and index, respectively. Assuming incompressible flow, we can consider density as a constant as well. With these two assumptions, the conservation equations morph into
Equation 8 and 9 are applicable to isothermal study of incompressible viscous fluid flow. In our previous work [27], boundary conditions and shaft torque calculation using total stress were explained.
The geometry of the vane consists of blades, shaft, cylinder, and baffles depicted in Figure 1. The impeller is 5 mm distant from the container bottom. In Figure 2, the mesh elements are depicted. There are 840735 elements with a mesh average size of 0.2274 mm3 in the model mesh. A mesh size analysis was run prior to choosing the number of elements for the model revealing that 650000 elements would result in values that are within 2% of results with finer meshes. A commercial finite element package (COMSOL Multiphysics 5.0) was used to solve the conservation equations.The solution is based on Galerkin’s method with the tolerance of the relative errors set at . The mesh size analysis and fairly small error tolerance assured the repeatable convergence of the model.
3. Experimental
A controlled stress rheometer (Bohlin CVO) was used to obtain torque-angular velocity data with a temperature-control unit set at 25 °C. A parallel-plate geometry with a diameter of 40 mm and a gap of 2 mm was used to obtain steady-shear viscosity of the fluids at different shear rates (0.001-200 s-1). The fluids studied in this paper were CNF/water suspensions at 2, 3, and 4 wt%. CNF was produced at the University of Maine Process Development Center using a bleached softwood kraft pulp. The pulp is dispersed with a beater at 2.5% solids and sent to a refiner with specialized plates. The pulp was circulated through the refiner until the fines content is over 90% as measured with a standard fibre size analyser (Morfi, Techpap). The refined CNF is fed to a lab scale ultra-fine friction grinder (Supermasscolloider, Masuko). Ten litres of the suspension is circulated through the grinder for two hours to make ground CNF. The density approximates that of water because of the low solids content. CNF level in the suspensions was adjusted either by adding water or by filtration. The vane and the container were custom made to fit the rheometer. The gap between the shaft and baffles is 20 mm; this assures that any large flocs or fibres will not be able to mechanically bridge the gap. Detailed dimensions are given in Figure 1.
4. Results and discussion
In Figure 3, the steady-shear viscosity of the samples measured by the rheometer equipped with the parallel-plate geometry is shown versus shear rate. The lines in Figure 3 represent power-law fits and the parameters are revealed in Table 1. Based on the oddly low power-law exponent values (<0.25), the CNF suspensions exhibit extreme shear-thinning behaviour. These values are consistent with the findings by other researchers [6], [7]. Based on the power-law index values (viscosity at shear rate 1.0 s-1), adding more fibres to the suspension logically increased the viscosity of the system. The model was run with different angular velocities of the impeller between 0 and 200 rpm. Tangential velocity magnitudes () at a surface 30 mm higher than the cylinder bottom are presented in Figure 4a. Arising from the boundary conditions set-up, it is clear that the higher velocities occur in the vicinity of the impeller while in areas adjacent to cylinder walls, especially baffles, almost stationary regions are evidenced. These results are akin to the findings for Newtonian fluids [27]. In Figure 5, the tangential velocity at 100 rpm as a function of radial position can be seen. Based on our previous study [27], up to the radial position of the vane (17 mm), solid-body rotation rules the fluid flow, but for the non-Newtonian fluids studied in this paper, it can be seen that the flow is slightly different, and solid-body rotation occurs up to around radial position 12 mm. This can be related to the shear-thinning behaviour of the suspensions that makes momentum transfer present among layers within radial positions smaller than the vane radius.
Shear rate profile at a surface 30 mm higher than the container base at 100 rpm is presented in Figure 5. At the circular path of the blades edge (radial position ~17 mm), the maximum shear rate occurs and at regions between blades, shear rate reasonably approaches zero (solid-body rotation). Similar results were observed by other researchers [26]. Based on Figure 5, the shear rate is almost zero throughout the geometry except for at radial position equal to the vane radius, then it can be said that the maximum shear rate is the prominent shear rate at each shaft speed. Previously shown [27], the linear relationship between average shear rate and angular velocity was examined and the result was consistent with experimental work [28] for Newtonian fluids in vane rheometer. Also in this study, we calculated the maximum shear rates for the CNF suspensions with different angular velocities shown in Figure 6. As revealed, a linear relationship was established between the shaft speed and the prominent shear rate. Based on Figure 6, as CNF content increases, the slope of the line representing the dependence of shear rate on shaft speed increases as well. This perhaps can be attributed to the lower power-law exponent of the suspensions with greater CNF contents which makes the resistance against flow more sensitive to the speed of moving walls. This finding was different than the results for Newtonian fluid flow in the vane geometry [27].
Table 1. The power-law parameters fitted to the experimental steady-shear viscosity data.
CNF content (wt%) | k(Pa.sn) | n |
2 | 23.1 | 0.21 |
3 | 119.5 | 0.13 |
4 | 924.1 | 0.09 |
In Figure 4b, pressure profile for the 3 wt% CNF at a surface 30 mm higher than the container base at shaft rotation rate 100 rpm is depicted. It is evident that pressure in regions adjacent to the surfaces that are normally forced by the flow streams is higher. Looking at red and blue areas (high and low pressure regions, respectively), in Figure 4b, reveals that the impeller is rotating counter clock wise. Using numerical values of velocity and pressure profiles, stress can be calculated to obtain torque applied on the shaft [27].
The predicted shaft torque values are compared to the experimental data for samples with different CNF contents (2-4 wt%) in Figure 7. The predicted values followed the experimental trends. The shaft-torque vs. shaft-speed curves level off at higher shaft-speeds which can be related to the shear-thinning nature of the CNF suspensions. Based on the findings about Newtonian fluid flow in vane geometry [27], within the shaft-speed range tested here, turbulence is not likely to happen.
These suspensions are viscoelastic with the storage modulus larger than the loss modulus. Therefore, viscoelastic constitutive equations may be required to fully predict the system. The presence of the small scale fibres can act as a drag reducer [29]. The predicted vortex and eddy flow may be suppressed by the fibres. Therefore, as the rotation rate increases, the eddy flow is predicted to increase, when inertial terms are included, that leads to an increase in dissipation of energy and torque. In the experimental system, the fine scale fibres suppress this mechanism and gives more of a viscous response. In our previous work [27], using Steffe suggestions [28] about vortices formation, we showed that it is not likely at all for vortices to occur in the studied range of angular velocities. As mentioned earlier, the presence of the fibres or fibre flocs are likely to suppress these vortices and this mechanism for energy dissipation.
At low rotation rates, the under-prediction of the results is likely linked to the lack of characterization of the suspensions at even lower shear rates. The experimental results show a yield stress, while the rheology data from the parallel-plate geometry does not indicate a yield stress. An equation that includes a yield stress, for instance Bingham model, may give better predictions at low shear rates.
5. Conclusions
A three dimensional analysis of a vane rheometer was completed by a finite element method for CNF/water suspensions using rheological parameters obtained from parallel-plate geometry. The predicted values followed the experimental trends. The power-law model resulted in reasonable prediction of shaft-torque compared with experimental data. The model under-predicted the torque at low shear rates because the constitutive equation used did not have a yield stress included. The shear rate profiles revealed that shearing layers of fluid were predominantly located in the vicinity of the vane radial position. This finding was consistent with Couette analogy.
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