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CFD Methodology for the Optimization of a Centrifugal Fan with Backward Inclined Blades Using OpenFOAM®


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DOI: https://doi.org/10.15866/irecon.v8i3.18641

Abstract


This research develops numerical models through computational tools to evaluate the centrifugal fan with backward inclined blades performance in space and time. This study has been carried out in order to reduce costs, resources, and time consumption commonly employed by traditional design studies in science and engineering. OpenFOAM has been employed to compute the model of the airflow and analyze the energy transfer between flow particles and centrifugal fan blades under real working conditions by means of turbulence models and mathematical algorithms based on advanced theories of thermal and fluids mechanics sciences. A multiple reference frame motion approach is computed with MRFsimpleFOAM solver to mitigate computational resources in the analysis of centrifugal forces and velocity components of the airflow displaced in the rotor-stator interaction zone. Tetrahedral cells have been computed to discretize the airflow control volume, where a partial differential equations system is solved. This method has been supported through a mesh independence study performed to improve the quality of the numerical model and perform the approximation of the airflow behavior to the real working conditions of the industrial centrifugal fan. Output data of the turbulence model have been compared with the experimental curve of the instrumented test bench acquired with LabVIEW software. Results have showed a good agreement between the numerical model and the experimental measurements. The length impeller blade parameter has been selected to develop a numerical optimization and to improve the industrial centrifugal fan performance in a virtual environment.
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Keywords


Centrifugal Fan; CFD; Turbulence Model; Optimization; OpenFOAM®

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References


Obregon, L., Valencia, G., Duarte Forero, J., Efficiency Optimization Study of a Centrifugal Pump for Industrial Dredging Applications Using CFD, (2019) International Review on Modelling and Simulations (IREMOS), 12 (4), pp. 245-252.
https://doi.org/10.15866/iremos.v12i4.18009

De la Hoz, J., Valencia, G., Duarte Forero, J., Reynolds Averaged Navier–Stokes Simulations of the Airflow in a Centrifugal Fan Using OpenFOAM, (2019) International Review on Modelling and Simulations (IREMOS), 12 (4), pp. 230-239.
https://doi.org/10.15866/iremos.v12i4.17802

J. D. Smith, V. Sreedharan, M. Landon, and Z. P. Smith, Advanced design optimization of combustion equipment for biomass combustion, Renewable Energy, vol. 145, pp. 1597–1607, 2020.
https://doi.org/10.1016/j.renene.2019.07.074

J. Prezelj and T. Novaković, Centrifugal fan with inclined blades for vacuum cleaner motor, Applied Acoustics, vol. 140, no. May, pp. 13–23, 2018.
https://doi.org/10.1016/j.apacoust.2018.05.010

S. Burgmann, T. Fischer, M. Rudersdorf, A. Roos, A. Heinzel, and J. Seume, Development of a centrifugal fan with increased part-load efficiency for fuel cell applications, Renewable Energy, vol. 116, pp. 815–826, 2018.
https://doi.org/10.1016/j.renene.2017.09.075

Y. Zhang, S. Deng, and X. Wang, RANS and DDES simulations of a horizontal-axis wind turbine under stalled flow condition using OpenFOAM, Energy, vol. 167, pp. 1155–1163, 2019.
https://doi.org/10.1016/j.energy.2018.11.014

H. H. Assoum, M. El Hassan, J. Hamdi, M. Alkheir, K. A. Meraim, and A. Sakout, Turbulent Kinetic Energy and self-sustaining tones in an impinging jet using High Speed 3D Tomographic-PIV, Energy Reports, vol. 6, pp. 802–806, 2020.
https://doi.org/10.1016/j.egyr.2019.12.018

N. Zhang, X. Liu, B. Gao, and B. Xia, DDES analysis of the unsteady wake flow and its evolution of a centrifugal pump, Renewable Energy, vol. 141, pp. 570–582, 2019.
https://doi.org/10.1016/j.renene.2019.04.023

L. Zhang, R. He, X. Wang, Q. Zhang, and S. Wang, Study on static and dynamic characteristics of an axial fan with abnormal blade under rotating stall conditions, Energy, vol. 170, pp. 305–325, 2019.
https://doi.org/10.1016/j.energy.2018.12.125

T. Capurso, L. Bergamini, and M. Torresi, Design and CFD performance analysis of a novel impeller for double suction centrifugal pumps, Nuclear Engineering and Design, vol. 341, no. 2019, pp. 155–166, 2019.
https://doi.org/10.1016/j.nucengdes.2018.11.002

F. Fadla et al., Investigation of the dynamics in separated turbulent flow, European Journal of Mechanics, B/Fluids, vol. 76, pp. 190–204, 2019.

P. Wang, C. W. Wong, and Y. Zhou, Turbulent intensity effect on axial-flow-induced cylinder vibration in the presence of a neighboring cylinder, Journal of Fluids and Structures, vol. 85, pp. 77–93, 2019.
https://doi.org/10.1016/j.jfluidstructs.2018.12.001

D. Y. Kim and H. C. No, A CFD-based design optimization of air-cooled passive decay heat removal system, Nuclear Engineering and Design, vol. 337, pp. 351–363, 2018.
https://doi.org/10.1016/j.nucengdes.2018.07.008

Z. Jiao, S. Yuan, C. Ji, M. S. Mannan, and Q. Wang, Optimization of dilution ventilation layout design in confined environments using Computational Fluid Dynamics (CFD), Journal of Loss Prevention in the Process Industries, vol. 60, pp. 195–202, 2019.
https://doi.org/10.1016/j.jlp.2019.05.002

W. Fan, C. Peng, and Y. Guo, An optimized CFD method for conceptual flow design of water cooled ceramic blanket, International Journal of Hydrogen Energy, vol. 42, no. 31, pp. 20138–20145, 2017.
https://doi.org/10.1016/j.ijhydene.2017.06.150

E. Galloni, P. Parisi, F. Marignetti, and G. Volpe, CFD analyses of a radial fan for electric motor cooling, Thermal Science and Engineering Progress, vol. 8, pp. 470–476, 2018.
https://doi.org/10.1016/j.tsep.2018.10.003

B. Olcucuoglu and B. H. Saracoglu, A preliminary heat transfer analysis of pulse detonation engines, Transportation Research Procedia, vol. 29, pp. 279–288, 2018.
https://doi.org/10.1016/j.trpro.2018.02.025

M. Riella, R. Kahraman, and G. R. Tabor, Fully-coupled pressure-based two-fluid solver for the solution of turbulent fluid-particle systems, Computers and Fluids, vol. 192, 2019.
https://doi.org/10.1016/j.compfluid.2019.104275

T. Mukha, S. Rezaeiravesh, and M. Liefvendahl, A library for wall-modelled large-eddy simulation based on OpenFOAM technology, Computer Physics Communications, vol. 239, pp. 204–224, 2019.
https://doi.org/10.1016/j.cpc.2019.01.016

G. Leonzio, Fluid dynamic study of anaerobic digester: optimization of mixing and geometric configuration by using response surface methodology and factorial design, Renewable Energy, vol. 136, pp. 769–780, 2019.
https://doi.org/10.1016/j.renene.2018.12.115

P. V Senthiil and V. S. Mirudhuneka, Design and Development of Regenerative Pump Impeller using CFD Techniques, International Journal of Scientific Research, vol. 3, pp. 1–5, 2014.
https://doi.org/10.15373/22778179/july2014/167

R. S. Kanase, M. L. Kasturi, A. T. Pise, and P. C. Garje, Experimental and CFD Analysis of Regenerative Pump, ISHMT Digital Library, no. January 2018, pp. 2433–2439, 2019.
https://doi.org/10.1615/ihmtc-2017.3400

T. Meakhail and S. O. Park, An improved theory for regenerative pump performance, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 219, no. 3, pp. 213–222, 2005.
https://doi.org/10.1243/095765005x7565

N. U. Aydemir, A. Trottier, T. Xu, M. Echlin, and T. Chin, Coupling of reactor transient simulations via the SALOME platform, Annals of Nuclear Energy, vol. 126, pp. 434–442, 2019.
https://doi.org/10.1016/j.anucene.2018.11.049

C. Haringa, R. Vandewijer, and R. F. Mudde, Inter-compartment interaction in multi-impeller mixing: Part I. Experiments and multiple reference frame CFD, Chemical Engineering Research and Design, vol. 136, pp. 870–885, 2018.
https://doi.org/10.1016/j.cherd.2018.06.005

W. Fan, C. Peng, and Y. Guo, An optimized CFD method for conceptual flow design of water cooled ceramic blanket, International Journal of Hydrogen Energy, vol. 42, no. 31, pp. 20138–20145, 2017.
https://doi.org/10.1016/j.ijhydene.2017.06.150

L. Casadei, L. Könözsy, and N. J. Lawson, Unsteady Detached-Eddy Simulation (DES) of the Jetstream 31 aircraft in One Engine Inoperative (OEI) condition with propeller modelling, Aerospace Science and Technology, vol. 91, pp. 287–300, 2019.
https://doi.org/10.1016/j.ast.2019.05.034

G. Bellakhal Ghazi Bellakhal, F. Chaibina, and J. Chahed, Assessment of turbulence models for bubbly flows: toward a Five-Equation turbulence model, Chemical Engineering Science, p. 115425, 2019.
https://doi.org/10.1016/j.ces.2019.115425

X. Li and J. Tu, Evaluation of the eddy viscosity turbulence models for the simulation of convection – radiation coupled heat transfer in indoor environment, Energy & Buildings, vol. 184, pp. 8–18, 2019.
https://doi.org/10.1016/j.enbuild.2018.11.043

F. Nicolás-Pérez et al., On the accuracy of RANS, DES and LES turbulence models for predicting drag reduction with Base Bleed technology, Aerospace Science and Technology, vol. 67, pp. 126–140, 2017.
https://doi.org/10.1016/j.ast.2017.03.031

W. Qu, J. Xiong, S. Chen, and X. Cheng, High-fidelity PIV measurement of cross flow in 5 × 5 rod bundle with mixing vane grids, Nuclear Engineering and Design, vol. 344, no. February, pp. 131–143, 2019.
https://doi.org/10.1016/j.nucengdes.2019.01.021

A. K. Vester, Y. Nishio, and P. H. Alfredsson, Investigating swirl and tumble using two prototype inlet port designs by means of multi-planar PIV, International Journal of Heat and Fluid Flow, vol. 75, no. March 2018, pp. 61–76, 2019.
https://doi.org/10.1016/j.ijheatfluidflow.2018.11.009

T. Ziegenhein, D. Lucas, G. Besagni, and F. Inzoli, Experimental study of the liquid velocity and turbulence in a large-scale air-water counter-current bubble column, Experimental Thermal and Fluid Science, vol. 111, no. October 2019, p. 109955, 2020.
https://doi.org/10.1016/j.expthermflusci.2019.109955


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