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Computational fluid dynamics simulation in cone-bottom stirred tanks with a Rushton and pitchedblade turbines

Published 2023-12-19
Articles

Abstract

Computational Fluid Dynamics (CFD) is a tool frequently used for the optimization
and improvement of industrial processes. In this work, the CFD simulation is used for
analyzing the appropriate power in stirred-tank systems with three different types of cones
at the bottom of the tank and with two types of impellers: 45° pitch 4- bladed turbine (axial
impeller) and Rushton standard turbine (radial impeller). The simulation was carried out in
a stirred tank with a diameter of 27 cm and with different cone diameters and height ratios
are analyzed. Also, 4 rotation speeds (50, 100, 300, and 600 rpm) were evaluated to describe
the transition to turbulent states. Reynolds Stress Model (RSM) and the Moving Reference
Frame are used. The results show that the power decrease with the axial impeller when
this is operated at low Reynolds number values meanwhile the radial impeller presented an
increase in the values of power when the cone is introduced inside the tank. By increasing
the Reynolds number an exponential increase in the power volume of each impeller is
made. Also, the inclusion of a 4-impeller blade inclination between laminar and transition
shows a significant saving in power consumption and for turbulent regimes, the inclusion
of geometries in the bottom of the tank affects power consumption. Finally, the results are
validated using experimental data and show that the absolute deviations are below 4 %.

Categories

Authors

  • Luis Fernando Cardona Palacio

    Universidad Católica Luis Amigó - Colombia

    https://orcid.org/0000-0002-6526-9508

  • Juan E. Arismendy

    Universidad Pontificia Bolivariana - Colombia

  • German Camilo Quintana Marín

    Universidad Pontificia Bolivariana - Colombia

  • Hader Humberto Alzate Gil

    Universidad Pontificia Bolivariana - Colombia

  • Diego A. Hincapié

    Instituto Tecnológico Metropolitano - Colombia

References

ANSYS. (2009a). Reynolds stress model [Online]. https://www.sharcnet.ca/Software/Fluent12/html/th/node79.htm (Accessed: 20 May 2022)

ANSYS. (2009b). Standard k-ε - Model. [Online]. https://www.sharcnet.ca/Software/Fluent12/html/th/node58.htm (Accessed: 20 May 2022)

Chudacek, M. W. (1985). Suspension in profiled mixing. Chemical Engineering Science, 40(3), pp. 385–392 https://doi.org/10.1016/0009-2509(85)85100-9

Coroneo, M.; Montante, G.; Paglianti, A.; Magelli, F. (2011). CFD prediction of fluid flow and mixing in stirred tanks: Numerical issues about the RANS simulations. Computers and Chemical Engineering, 35(10), pp. 1959–1968 https://doi.org/10.1016/j.compchemeng.2010.12.007

Daubert, T. E. (1998). Evaluated equation forms for correlating thermodynamic and transport properties with temperature. Industrial & Engineering Chemistry Research, 37(8), pp. 3260-3267 https://doi.org/10.1021/ie9708687

Delgadillo, J. A.; Rajamani, R. K. (2005). A comparative study of three turbulence-closure models for the hydrocyclone problem. International Journal of Mineral Processing, 77(4), pp. 217–230 https://doi.org/10.1016/j.minpro.2005.06.007

Dong, J.; Hu, B.; W Pacek, A.; Yang, X.; Miles, N. (2016). The Effect of Bottom Shape and Baffle Length on the Flow in Stirred Tanks in Turbulent and Transitional Flow. International Academy of Mechanical and Mechatronic Engineering, 10(9), pp. 1644–1653 https://doi.org/10.5281/zenodo.1126537

Guha, D.; Ramachandran, P. A.; Dudukovic, M. P.; Derksen, J. J. (2008). Evaluation of Large Eddy Simulation and Euler-Euler CFD for Solids Flow Dynamics in a Stirred Tank Reactor. American Institute of Chemical Engineers AIChE, 54(3), pp. 766–788 https://doi.org/10.1002/aic.11417

Joshi, J. B.; Nere, N. K.; Rane, C. V.; Murthy, B. N.; Mathpati, C. S.; Patwardhan, A. W.; Ranade, V. V. (2011a). CFD simulation of stirred tanks: Comparison of turbulence models. Part I: Radial flow impellers. Canadian Journal of Chemical Engineering, 89(1), pp. 23–82 https://doi.org/10.1002/cjce.20446

Joshi, J. B.; Nere, N. K.; Rane, C. V.; Murthy, B. N.; Mathpati, C. S.; Patwardhan, A. W.; Ranade, V. V. (2011b). CFD simulation of stirred tanks: Comparison of turbulence models (Part II: Axial flow impellers, multiple impellers and multiphase dispersions). Canadian Journal of Chemical Engineering, 89(4), pp. 754–816 https://doi.org/10.1002/cjce.20465

Lane, G. L.; Koh, P. T. L. (1997). CFD Simulation of a Rushton Turbine in a Baffled Tank, International Conference on Computational Fluid Dynamics in Mineral & Metal Processing and Power Generation. Clayton South, Victoria, Australia, pp. 377-386. https://www.cfd.com.au/cfd_conf97/papers/lan035.pdf

Li, L.; Chen, N.; Xiang, K.; Xiang, B. (2018). CFD simulation of hydrodynamics characteristics in a tank stirred by a hollow self‐inducing impeller. Canadian Journal of Chemical Engineering, 96(8), pp. 1-12 https://doi.org/10.1002/cjce.23135

Martínez, F. M.; Valencia, A. (2010). Estudio numérico de la fluidodinámica de un estanque de agitación utilizando método de mallas deslizantes (Tesis de pregrado en Ingeniería Civil), Chile, Facultad de Ciencias Físicas y Matemáticas Departamento de

Ingeniería Mecánica, Chile, p. 90. https://repositorio.uchile.cl/handle/2250/103931

McCabe, W. L.; Smith, J. C.; Harriot, P. (2007). Operaciones Unitarias En Ingeniería Química. McGraw Hill, pp. 260-281.

Micale, G.; Montante, G.; Grisafi, F.; Brucato, A.; Godfrey, J. (2000). CFD Simulation of Particle Distribution in Stirred Vessels. Chemical Engineering Research and Design, 78(3), pp. 435-444 https://doi.org/10.1205/026387600527338

Montante, G.; Lee, K. C.; Brucato, A.; Yianneskis, M. (2001). Numerical simulations of the dependency of flow pattern on impeller clearance in stirred vessels. Chemical Engineering Science, 56(12), pp. 3751-3770 https://doi.org/10.1016/S0009-2509(01)00089-6

Motamedvaziri, S.; Armenante, P. M. (2012). Flow regimes and surface air entrainment in partially filled stirred vessels for different fill ratios. Chemical Engineering Science, 81, pp. 231–250 https://doi.org/10.1016/j.ces.2012.05.050

Naeeni, S. K.; Pakzad, L. (2019). Droplet size distribution and mixing hydrodynamics in a liquid–liquid stirred tank by CFD modeling. International Journal of Multiphase Flow, 120, p. 103100 https://doi.org/10.1016/j.ijmultiphaseflow.2019.103100

Ochieng, A., & Onyango, M. S. (2008). Homogenization energy in a stirred tank. Chemical Engineering and Processing: Process Intensification, 47(9-10), pp. 1853-1860. https://doi.org/10.1016/j.cep.2007.10.014

Ochieng, A.; Onyango, M. S.; Kumar, A.; Kiriamiti, K.; Musonge, P. (2008). Mixing in a tank stirred by a Rushton turbine at a low clearance. Chemical Engineering and Processing: Process Intensification, 47(5), pp. 842-851 https://doi.org/10.1016/j.cep.2007.01.034

Paul, E. L.; Atiemo-Obeng, V. A.; Kresta, S. M. (2004). Handbook of industrial mixing, New Jersey, John Wiley & Sons, Inc., pp. 359-375.

Pukkella, A. K.; Vysyaraju, R.; Tammishetti, V.; Rai, B.; Subramanian, S. (2019). Improved mixing of solid suspensions in stirred tanks with interface baffles: CFD simulation and experimental validation. Chemical Engineering Journal, 358, pp. 621–633 https://doi.org/10.1016/j.cej.2018.10.020

Sheikhi, N.; Najafi, M.; Enjilela, V. (2020). Modifying a meshless method to solving κ− ε turbulent natural convection heat transfer. International Journal of Modern Physics C, 31(01), p. 2050014 https://doi.org/10.1142/S012918312050014X

Versteeg, H. K.; Malalasekera, W. (1995). An Introduction to Computational Fluid Dynamics: The volume finite method (1st ed.), London, Pearson education, pp. 1-40.

Wu, H.; Patterson, G. K. (1989). Laser-Doppler measurements of turbulent-flow parameters in a stirred mixer. Chemical Engineering Science, 44(10), pp. 2207–2221 https://doi.org/10.1016/0009-2509(89)85155-3

Wutz, J.; Waterkotte, B.; Heitmann, K.; Wucherpfennig, T. (2020). Computational fluid dynamics (CFD) as a tool for industrial UF/DF tank optimization. Biochemical Engineering Journal, 160, p. 107617 https://doi.org/10.1016/j.bej.2020.107617

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