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

Simulación dinámica computacional en tanques agitados de fondo cónico con turbina Rushton y de palas inclinadas

Published 2023-12-19

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Vol. 20 No. 40 (2023): Table of contents Revista EIA No. 40
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Computational fluid dynamics simulation in cone-bottom stirred tanks with a Rushton and pitchedblade turbines. (2023). Revista EIA, 20(40), 4010 pp. 1-22. https://doi.org/10.24050/reia.v20i40.1676
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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
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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 %.

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