with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Document Type : Research Article

Authors

Department of Mechanic of Biosystem Engineering, Urmia University, Urmia, Iran

Abstract

Introduction
Cyclone separators use the centrifugal force generated by the gas flow stream to separate the particles from their carrier gas. Simple design, low capital, and easy maintenance make them ideal for use as a valuable pre-refining or sedimentation device. The cause of the particles moving towards the wall and separating from the fluid phase is the centrifugal force created by the rotational flow in a cyclone.
Computational fluid dynamics (CFD) is one of the most well-known and widely used advanced modeling methods used for a variety of applications, including separation processes, thermal processes such as dryers, as well as a wide range of engineering and agricultural applications. The numerical solution of Navier-Stokes equations is the basis of all CFD techniques, which is the result of the rapid progress of computers and a deep understanding of the numerical solution of turbulence phenomena.
Materials and Methods
The measurement system of experimental data includes a cyclone separator, feeder, piping, and fan. Measurements of velocity and pressure were carried out using a hot wire air flow rate, (Model 8465-TSI with a resolution of 0.07 m.s-1 and a working range of 0.125 to 150 m.s-1), as well as a differential pressure gauge (CPE310s- KIMO, with an accuracy of 0.1 Pa), respectively. To investigate the effect of the output flow regulator plate on the cyclone performance, five different positions in addition to the base position (zero degree angle or fully open) including angles of 15, 30, 45, 60, and 75 degrees were evaluated.
The conservation laws governing the various flows and geometries in the CFD include the conservation law of mass, conservation law of momentum, and conservation law of energy.
According to the Mach number value, the pressure base solver was selected. Also, the Reynolds stress model (RSM) was applied to model the flow turbulence. In the discrete phase model (DPM), the fluid phase is solved continuously by solving averaged time equations, while the dispersed phase is calculated by tracing a large number of particles through the flow field.
The boundary conditions used in this study include the inlet velocity boundary condition at the inlet of the cyclone, the outlet pressure boundary condition in the upper and lower outlet sections, and the non-slip wall boundary condition for other surfaces. The particle collision to the wall was also defined as reflective. In the mesh section of the cyclone simulation, five mesh levels were used to check the mesh independence test. The numbers of mesh cells in the five levels were 196810, 283120, 427890, 634940, and 1045290. The selected mesh was 427890 level regarding time consideration.
Results and Discussion
In the first section, the validation of simulation results with experimental results is discussed. The value of the velocity magnitude decreased with increasing the angle of the plate, which is probably due to the reduction of the inlet level as well as the reduction of the exhaust airflow in the cyclone air outlet.
The maximum value of velocity magnitude occurred according to the direction of the air inlet in the cyclone inlet, which is gradually reduced due to the rotational motion inside the cyclone.
The collection efficiency in the cyclone at different levels of regulating plate has values of 85.1% to 95.3%, with maximum collection efficiency at 30° which was 95.3%. The turbulent intensity contours show that turbulence intensity decreases to an angle of 30°, and then reaches an almost constant value for the 30, 45, and 60° angles.
Conclusion
As the angle of the output current regulator plate increased, the magnitude of velocity decreased significantly.
The separation efficiency showed an increasing-decreasing trend for different values of the regulator plate such that up to a 30° angle of the plate had a positive effect on the separation efficiency.
In general, considering the compromise between separation efficiency and pressure drop as two key parameters affecting the performance of the cyclone, an angle of 30 degrees was selected as the best angle among the studied angles for application.

Keywords

Main Subjects

Open Access

©2022 The author(s). This article is licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

  1. Alahmadi, Y. H., and A. F. Nowakowski. 2016. Modified shear stress transport model with curvature correction for the prediction of swirling flow in a cyclone separator. Chemical Engineering Science 147: 150-165. https://doi.org/10.1016/j.ces.2016.03.023.
  2. Elsayed, K., and C. Lacor. 2010. Optimization of the cyclone separator geometry for minimum pressure drop using mathematical models and CFD simulations. Chemical Engineering Science. 65: 6048-6058. https://doi.org/10.1016/j.ces.2010.08.042.
  3. Elsayed, K., and C. Lacor. 2011. The effect of cyclone inlet dimensions on the flow pattern and performance. Applied Mathematical Modelling 35: 1952-1968. https://doi.org/10.1016/j.apm.2010.11.007.
  4. Gimbun, J., T. G. Chuah, T. S. Y. Choong, and A. Fakhru’l-Razi. 2005a. A CFD study on the prediction of cyclone collection efficiency. International Journal for Computational Methods in Engineering Science and Mechanics 6 (3): 161-168. DOI: 1080/15502280590923649.
  5. Gimbun, J., T. G. Chuah, T. S. Y. Choong, and A. Fakhru’l-Razi. 2005b. Prediction of the effects ofcone tip diameter on the cyclone performance. Journal of Aerosol Science 36 (8): 1056-1065. https://doi.org/10.1016/j.jaerosci.2004.10.014.
  6. Griffiths, W. D., and F. Boysan. 1996. Computational fluid dynamics (CFD) and empirical modelling of the performance of a number of cyclone samplers. Journal of Aerosol Science 27: 281-304. https://doi.org/10.1016/0021-8502(95)00549-8.
  7. Hoffmann, A. C., M. De Groot, W. Peng, H. W. Dries, and J. Kater. 2001. Advantages and risks in increasing cyclone separator length. American Institute of Chemical Engineers Journal 47: 2452-2460. https://doi.org/10.1002/aic.690471109.
  8. Inc. ANSYS. 2013. ANSYS FLUENT Theory Guide. Release 182 15317: 373-464.
  9. Mazyan, W. I., A. Ahmadi, J. Brinkerhoff, H. Ahmed, and M. Hoorfar. 2018. Enhancement of Cyclone Solid Particle Separation Performance Based on Geometrical Modification, Numerical Analysis. Separation and Purification Technology 191 (1): 276-285. https://doi.org/10.1016/j.seppur.2017.09.040
  10. Naimei Dizajyekan, S., Gh. Shahgholi, A. Rezvanivande fanaei, and V. Rotampour. 2019. Numerical Study of Wheat Conveying in Separator Cyclone Using Computational Fluid Dynamics. Journal of Agricultural Machinery 11 (2): 231-246. (In Persian). http://doi.org/10.22067/jam.v11i2.79613.
  11. Rezvanivandefanayi, A., and A. M. Nikbakht. 2015. A CFD Study of the Effects of Feed Diameter on the Pressure Drop in Acyclone Separator. International Journal of Food Engineering 11: 71-77. https://doi.org/10.1515/ijfe-2014-0125.
  12. Zhao, B., Y. Su, and J. Zhang. 2006. Simulation of gas flow pattern and separation efficiency in cyclone with conventional single and spiral double inlet configuration. Chemical Engineering Research and Design 84 (12): 1158-1165. https://doi.org/10.1205/cherd06040.
  13. Zobeiri, M., V. Rostampour, A. R. Fanaei, and A. M. Nikbakht. 2019. Experimental and Numerical investigation of deviation blade effect on sedimentation chamber performance in chickpea harvesting machine. Iran Biosystems Engineering 52: 329-339. (In Persian). DOI: 22059/ijbse.2020.276317.665166.
CAPTCHA Image