Turbulence models and simulation method in the CFD simulation of 75-mm hydrocyclone

Year 2022, Volume: 61 Issue: 3, 127 - 134, 30.09.2022

Song Gun Kang , Kwang Chol Kim Sok Chol Ryom Jin Hyok Ri

https://doi.org/10.30797/madencilik.971842

Cited By: 2

Abstract

In this paper, an effective method for the classification process simulation in 75¬mm hydrocyclone is considered. The simulation results and computational time are compared using Reynolds stress model (RSM) and different large eddy simulation (LES) subgrid-scale models as turbulence models, and the volume of fluid model (VOF) as a multiphase model. The Lagrangian discrete phase model (DPM) is used to simulate the classification process of particles. As the experimental result for comparison of simulation results, Hsieh's experimental data are used. When the different LES subgrid-scale models are used, the solution converges stably by various solution convergence methods without increasing the grid numbers or reducing the size of time steps than RSM model. As a result, it is confirmed that when an appropriate simulation method is applied with the LES-WMLES S-Omega model, more accurate axial water flow velocity distribution and particle classification simulation results can be obtained at a computational cost similar to that of using the RSM model.

Keywords

Hydrocyclone, •turbulence model, •computational cost, •particle classification, CFD simulation

References

• Brennan, M.S., Narasimha, M., Holtham, P.N. 2007. Multiphase modelling of hydrocyclones - prediction of cut-size. Minerals Engineering 20, 395-406. doi:10.1016/j.mineng.2006.10.010.
• Cui, B., Zhang, C., Wei, D., Lu, S., Feng, Y. 2017. Effects of feed size distribution on separation performance of hydrocyclones with different vortex finder diameters. Powder Technology 322, 114-123. doi:10.1016/j.powtec.2017.09.010.
• Ghadirian, M., Hayes, R.E., Mmbaga, J., Afacan, A., Xu, Z. 2013. On the simulation of hydrocyclones using CFD. The Canadian Journal of Chemical Engineering 91(5), 950-958. doi:10.1002/cjce.21705.
• Ghodrat, M., Qi, Z., Kuang, S.B., Ji, L., Yu, A.B. 2016. Computational investigation of the effect of particle density on the multiphase flows and performance of hydrocyclone. Minerals Engineering 90, 55-69. doi:10.1016/j.mineng.2016.03.017.
• Hsieh, K.T. 1988. Phenomenological model of the hydrocyclone. Ph.D. thesis. Utah: The University of Utah.
• Jiang, L., Liu, P., Zhang, Y., Yang, X., Wang, H., Gui, X. 2019. Design boundary layer structure for improving the particle separation performance of a hydrocyclone. Powder Technology 350, 1-14. doi:10.1016/j.powtec.2019.03.026.
• Kuang, S.B., Chu, K.W., Yu, A.B., Vince, A. 2012. Numerical study of liquid¬gas-solid flow in classifying hydrocyclones: Effect of feed solids concentration. Minerals Engineering 31, 17-31. doi:10.1016/j.mineng.2012.01.003.
• Li, Y., Liu, C., Zhang, T., Li, D., Zheng, L. 2018. Experimental and Numerical Study of a Hydrocyclone with the Modification of Geometrical Structure. The Canadian Journal of Chemical Engineering 96, 2638-2649. doi:10.1002/cjce.23206.
• Mangadoddy, N., Vakamalla, T.R., Kumar, M., Mainza, A. 2019. Computational modelling of particle-fluid dynamics in comminution and classification: a review. Mineral Processing and Extractive Metallurgy 129(2), 145-156. doi:10.1080/25726641.2019.1708657.
• Narasimha, M., Brennan, M., Holtham, P.N. 2012. CFD modeling of hydrocyclones: Prediction of particle size segregation. Minerals Engineering 39, 173-183.
• Padhi, M., Mangadoddy, N., Sreenivas, T., Vakamalla, T.R., Mainza, A.N. 2019. Study on multi-component particle behaviour in a hydrocyclone classifier using experimental and computational fluid dynamics techniques. Separation and Purification Technology 229, 115698. doi:10.1016/j.seppur.2019.115698.
• Padhi, M., Kumar, M., Mangadoddy, N. 2020. Understanding the bicomponent particle separation mechanism in a hydrocyclone using a computational fluid dynamics model. Industrial & Engineering Chemistry Research 59(25), 11621- 11644. doi:10.1021/acs.iecr.9b06747.
• Perez, D., Cornejo, P., Rodriguez, C., Concha, F. 2018. Transition from spray to roping in hydrocyclones. Minerals Engineering 123, 71-84. doi:10.1016/j.mineng.2018.04.008.
• Silva, D.O., Vieira, L.G.M., Barrozo, M.A.S. 2014. Optimization of design and performance of solid-liquid separators: A thickener hydrocyclone. Chemical Engineering & Technology 38(2), 319-326. doi:10.1002/ceat.201300464.
• Vakamalla, T.R., Koruprolu, V.B., Arugonda, R., Mangadoddy, N. 2016. Development of novel hydrocyclone designs for improved fines classification Using multiphase CFD model. Separation and Purification Technology 175, 481-497. doi:10.1016/j.seppur.2016.10.026.
• Vakamalla, T.R., Mangadoddy, N. 2019. The dynamic behaviour of a large-scale 250-mm hydrocyclone: A CFD study. Asia-Pacific Journal of Chemical Engineering 14(2), e2287. doi: 10.1002/apj.2287.
• Wang, C., Ji, C., Zou, J. 2015. Simulation and experiment on transitional behaviours of multiphase flow in a hydrocyclone. The Canadian Journal of Chemical Engineering 93, 1802-1811. doi:10.1002/cjce.22274.
• Ye, J., Xu, Y., Song, X., Yu, J. 2019. Novel conical section design for ultra-fine particles classification by a hydrocyclone. Chemical Engineering Research and Design 144, 135-149. doi:10.1016/j.cherd.2019.02.006.
• Zhang, Y., Cai, P., Jiang, F., Dong, K., Jiang, Y., Wang, B. 2017. Understanding the separation of particles in a hydrocyclone by force analysis. Powder Technology. 322, 471-489. doi:10.1016/j.powtec.2017.09.031.