Vortex Characteristics and Wear Analysis of a Y-Type Screen Filter with Three Different Filter Screens and Cylinder Arc Angles
Publication: Journal of Irrigation and Drainage Engineering
Volume 150, Issue 5
Abstract
Y-type screen filters are crucial as hydraulic equipment in microirrigation systems. This study employed the computational fluid dynamics-discrete element method (CFD-DEM) approach to determine the optimal mesh shape and cylinder arc angle for these filters. Numerical simulations were conducted for three different filter screen shapes (diamond, square, and circular) and three cylinder arc angles (0°, 15°, and 30°) in screen filters to analyze the variations in their internal vortex fields and wear characteristics. The effects of different models on three-dimensional vortex structures and energy loss mechanisms were analyzed, and the reliability of simulation results was experimentally verified. A significant difference in vortex magnitudes at the filter mesh location of diamond, square, and circular filters was revealed, with the circular mesh experiencing 19.8% and 34.1% increases in vortex magnitude compared with the square and diamond meshes, respectively. As the cylinder arc angle increased from 0° to 30°, the filter’s weak and medium vortex regions areas grew by 8.6% and 30.4%, respectively. According to the -criterion vortex identification method, high-intensity vortices were mainly distributed at the mesh openings and the junctions of the outlet and filter pipes. The areas with the highest wear were the plugs, their closures, and the outlet side of the filter mesh, with wear decreasing as the cylinder arc angle increased. The average wear in these three areas at a zero angle dropped by 43.9% and 58.4% compared with 15° and 30° angles, respectively. Among the different mesh filters, circular mesh filters experienced the greatest wear, followed by square mesh filters, whereas diamond mesh filters had the least wear. Therefore, in practical engineering applications, it is recommended to use diamond mesh filters with a cylinder arc angle of 30°. These filters exhibit smaller internal vortex scales and a smoother flow field, which helps reduce wear on the filter mesh and improve its service life.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was supported by the National Natural Science Foundation of China (Grant No. 52269011), and the Major Science and Technology Projects in Yunnan Province (Grant Nos. 202402AE090005 and 202302AE090024).
References
Alifujiang, A., T. Hudan, Y. Mulati, and A. Ayiguli. 2017. “Numerical simulation on the flow field of screen filter with a torpedo in micro-irrigation.” Trans. CSAE 33 (3): 107–112. https://doi.org/10.11975/j.issn.1002-6819.2017.03.014.
Chai, B. S., J. Zhang, H. S. Lu, D. Yan, H. W. Yang, and H. Cong. 2022. “Three-dimensional vortex recognition method and spatial-temporal evolution of the flow field for hydrodynamic coupling.” Trans. Chin. Soc. Agric. Eng. 38 (12): 32–40. https://doi.org/10.11975/j.issn.1002-6819.2022.12.004.
Chu, K. W., B. Wang, A. B. Yu, and A. Vince. 2009. “CFD–DEM modeling of multiphase flow in dense medium cyclones.” Powder Technol. 193 (3): 235–247. https://doi.org/10.1016/j.powtec.2009.03.015.
Dong, X. R., Y. S. Gao, and C. Q. Liu. 2019. “New normalized Rortex/vortex identification method.” Phys. Fluids 31 (1): 011701. https://doi.org/10.1063/1.5066016.
Duran-Ros, M., G. Arbat, J. Barragán, F. Ramírez de Cartagena, and J. Puig-Bargués. 2010. “Assessment of head loss equations developed with dimensional analysis for micro irrigation filters using effluents.” Biosyst. Eng. 106 (4): 521–526. https://doi.org/10.1016/j.biosystemseng.2010.06.001.
Feng, J. G., X. Q. Tang, W. B. Wang, R. Ying, and T. Zhang. 2017. “Reliability verification method of numerical simulation based on grid independence and time independence.” J. Shihezi Univ. (Natl. Sci.) 35 (1): 52–56. https://doi.org/10.13880/j.cnki.65-1174/n.2017.01.009.
Hou, Z. Z., J. Li, C. Liang, and H. Zhang. 2022. “The influence of different mesh models on the flow field inside the filter.” Chem. Equip. Technol. 43 (1): 6–9. https://doi.org/10.16759/j.cnki.issn.1007-7251.2022.02.002.
Hou, Z. Z., K. K. Zhang, B. B. Wang, and Y. W. Wang. 2018. “Numerical investigation of different filter mesh pore models.” Ship Boat 29 (6): 43–48. https://doi.org/10.19423/j.cnki.31-1561/u.2018.06.043.
Hunt, J., A. A. Wray, and P. Moin. 1988. “Eddies, streams, and convergence zones in turbulent flows.” In Proc., Summer Program in Center for Turbulence Research, 193–207. Stanford, CA: Center for Turbulence Research.
Li, N., J. F. Li, L. M. Yu, W. H. Yang, X. L. Liu, and Q. Cheng. 2024. “Effect of inlet velocity on the hydraulic and filtering performance of a Y-type screen filter.” Irrig. Drain. 1–14. https://doi.org/10.1002/ird.2932.
Li, S. B., Q. B. Han, S. Q. Du, and Z. H. Yuan. 2020. “The design and test of multi-stage composite screen filter for micro-irrigation.” Water Saving Irrig. 97 (8): 82–84. https://doi.org/10.3969/j.issn.1007-4929.2020.08.016.
Li, S. B., Z. H. Yuan, S. Q. Du, H. Li, Q. B. Han, and W. X. Meng. 2021. “Experimental study on the hydraulic performance of a multistage composite mesh filter.” J. Irrig. Drain. 40 (3): 110–115. https://doi.org/10.13522/j.cnki.ggps.2020021.
Liu, C. Q., Y. Q. Wang, Y. Yang, and Z. W. Duan. 2016. “New omega vortex identification method.” Sci. China (Phys. Mech. Astronomy) 59 (08): 62–70. https://doi.org/10.1007/s11433-016-0022-6.
Liu, F., H. F. Liu, T. G. Zheng, Q. L. Zong, C. C. Gu, and H. P. Zheng. 2010. “A study of set up on the work pressure difference between the internal and the external automatic self-suction filter screen in micro-irrigation.” China Rural Water Hydropower 330 (4): 50–53. https://doi.org/cnki:sun:znsd.0.2010-04-016.
Puig-Bargués, J., J. Barragán, and F. Ramírez de Cartagena. 2005. “Development of equations for calculating the head loss in effluent filtration in microirrigation systems using dimensional analysis.” Biosyst. Eng. 92 (3): 383–390. https://doi.org/10.1016/j.biosystemseng.2005.07.009.
Tao, H. F., X. J. Teng, Y. J. Ma, M. Hong, and Q. P. Fu. 2017. “Flow field simulation and structure optimization of a direct-washing mesh filter.” J. Hydropower Energy Sci. 35 (8): 98–102. https://doi.org/CNKI:SUN:SDNY.0.2017-08-025.
Teng, X. J., H. F. Tao, L. L. Zhu, W. Q. Zheng, J. Q. Hu, and J. H. Yu. 2017. “Numerical analysis of the characteristics of the clear water field inside the fully automatic torpedo net filter.” South-to-North Water Diversion Hydraul. Sci Technol. 15 (2): 176–184. https://doi.org/10.13476/j.cnki.nsbdqk.2017.02.027.
Tong, B. G., X. Y. Yin, and K. Q. Zhu. 2009. Theory of vortex motion. Hefei, China: Univ. of Science and Technology of China.
Wang, F. J. 2004. Computational fluid dynamics analysis: Principles and applications of CFD software. Beijing: Tsinghua University Publishing House.
Wang, X. K., S. K. Gao, L. P. Xia, and P. Xu. 2013. “Numerical simulation and structural optimization of screen filter in micro-irrigation.” J. Drain. Irrig. Mach. Eng. 31 (8): 719–723. https://doi.org/10.3969/j.issn.1674-8530.2013.08.013.
Wang, Z. H., Z. F. Zhang, Y. Gao, and R. R. Li. 2019. “Numerical simulation of fluid flow performance in sudden expansion pipe.” Sci. Technol. Chem. Ind. 27 (3): 6–9. https://doi.org/10.3969/j.issn.1008-0511.2019.03.002.
Wu, B. F., F. Y. Tian, M. Zhang, S. L. Piao, H. W. Zeng, W. W. Zhu, J. G. Liu, A. Elnashar, and Y. M. Lu. 2022. “Quantifying global agricultural water appropriation with data derived from earth observations.” J. Cleaner Prod. 15 (Jul): 358. https://doi.org/10.1016/J.JCLEPRO.2022.131891.
Wu, C. H., and M. M. Sharma. 2017. “A DEM-based approach for evaluating the pore throat size distribution of a filter medium.” Powder Technol. 322 (Dec): 159–167. https://doi.org/10.1016/j.powtec.2017.09.018.
Yu, L. M., D. L. Cao, J. L. Li, N. Li, D. Han, and S. G. Shao. 2022a. “Multiobjective optimization orthogonal test of Y-type Screen filter.” Trans. Chin. Soc. Agric. Mach. 53 (9): 322–333. https://doi.org/10.6041/j.issn.1000-1298.2022.09.033.
Yu, L. M., J. L. Li, N. Li, J. Y. Wang, and D. R. Wang. 2023. “Wear behavior and vortex characteristics of Y-type screen filters with various inclination angles and inlet flow velocities: Numerical and experimental study.” J. Irrig. Drain. Eng. 149 (8): 04023014. https://doi.org/10.1061/JIDEDH.IRENG-10113.
Yu, L. M., K. S. Liu, D. Han, F. Wu, N. Li, and N. B. Cui. 2022b. “Numerical simulation analysis of flow field of Y-screen filter under different working conditions.” Trans. Chin. Soc. Agri. Mach. 53 (2): 346–354. https://doi.org/10.6041/j.issn.1000-1298.2022.02.037.
Yu, L. M., Z. Xu, J. R. Yang, W. B. Fan, N. Li, and J. Long. 2018a. “Numerical simulation of water and sediment movement in screen filter based on coupled CFD–DEM.” Trans. Chin. Soc. Agric. Mach. 49 (3): 303–308. https://doi.org/10.6041/j.issn.1000-1298.2018.03.036.
Yu, L. M., Z. Xu, J. R. Yang, N. Li, K. S. Liu, and L. H. Chang. 2018b. “Numerical simulation of local clogging in screen filter based on coupled DEM-CFD.” Trans. Chin. Soc. Agric. Eng. 34 (18): 130–137. https://doi.org/10.11975/j.issn.1002-6819.2018.18.016.
Yu, L. M., X. Y. Zou, H. Tan, W. G. Yan, L. Z. Chen, and Z. W. Xiong. 2016. “3D numerical simulation of water and sediment flow in hydrocyclone based on coupled CFD–DEM.” Trans. Chin. Soc. Agric. Eng. 47 (1): 126–132. https://doi.org/10.6041/j.issn.1000-1298.2016.01.017.
Yuan, J. W., D. L. Zhu, S. S. Gao, S. B. Sun, H. Zhao, and R. Zhang. 2022. “Head loss variation and impurity interception characteristics in a disc filter.” Trans. Chin. Soc. Agric. Eng. 38 (13): 114–122. https://doi.org/10.11975/j.issn.1002-6819.2022.13.013.
Zhang, K., L. M. Yu, K. S. Liu, D. L. Cao, N. Li, and F. Wu. 2021. “Calculation of interception rate of Y -screen filter and analysis of its influencing factors.” Trans. Chin. Soc. Agric. Eng. 37 (5): 123–130. https://doi.org/10.11975/j.issn.1002-6819.2021.05.014.
Zhou, L. Q., D. Han, L. M. Yu, N. Li, H. H. Guo, and Z. H. Wang. 2020. “Effects of guide vanes on performance of Y-screen filter.” Trans. Chin. Soc. Agric. Eng. 36 (12): 40–46. https://doi.org/10.11975/j.issn.1002-6819.2020.12.005.
Zhou, S. P. 2017. “Numerical simulation of erosion of based on stokes number.” Corros. Prot. 38 (7): 557–561. https://doi.org/10.11973/fsyfh-201707016.
Zong, Q. L., H. F. Yang, Z. J. Liu, and Y. C. Ge. 2017. “Clogging reason analysis and pressure drop calculation of screen filter.” Trans. Chin. Soc. Agric. Mach. 48 (9): 215–222. https://doi.org/10.6041/j.issn.1000-1298.2017.09.027.
Zong, Q. L., T. G. Zheng, H. F. Liu, and C. J. Li. 2015. “Development of head loss equations for self-cleaning screen filters in drip irrigation systems using dimensional analysis.” Biosyst. Eng. 133 (May): 116–127. https://doi.org/10.1016/j.biosystemseng.2015.03.001.
Zong, Q. L., T. G. Zheng, H. F. Liu, Q. Q. Li, and H. P. Zheng. 2013. “Numerical simulation and analysis of full flow field of drip irrigation Self-cleaning mesh filter.” Trans. Chin. Soc. Agric. Eng. 29 (16): 57–65. https://doi.org/10.3969/j.issn.1002-6819.2013.16.008.
Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 150 • Issue 5 • October 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Oct 3, 2023
Accepted: Mar 21, 2024
Published online: Jun 25, 2024
Published in print: Oct 1, 2024
Discussion open until: Nov 25, 2024
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.