Numerical Study on the Screening Performance of a Cylindrical Vibrating Screen with Coupled Rotation and Vibration

Yujia Li; Yu Xia; Tao Ren; Weiye Zhuang; Zheyi Jin; Weisong Yu; Xiao Huang

doi:10.62051/ijmee.v6n1.07

Authors

Yujia Li
Yu Xia
Tao Ren
Weiye Zhuang
Zheyi Jin
Weisong Yu
Xiao Huang

DOI:

https://doi.org/10.62051/ijmee.v6n1.07

Keywords:

Rotation and Vibration, Cylindrical, Vibrating Screen, Discrete Element Method, Screening Efficiency

Abstract

Advancements in drilling technology and the increasing demand for complex drilling fluids have revealed the limitations of conventional solid control systems, driving the need for innovation. This paper proposes a cylindrical vibrating screen with coupled rotation and vibration, which improves solid-liquid screening efficiency and large particle agglomeration compared to traditional planar screens. The efficiency of a vibrating screen depends on factors such as frequency, rotational speed, amplitude, and inclination angle, making optimization of these parameters critical for enhancing industrial production efficiency. Using the Discrete Element Method (DEM), this study simulates wet and dry particle screening on a cylindrical vibrating screen. It evaluates particle screening efficiency, collision frequency, and particle distribution across 30 different vibration parameter combinations. The analysis identifies the optimal settings for frequency, amplitude, speed, and inclination angle under various conditions. The optimal combination was found to be an amplitude of 4 mm, frequency of 15 Hz, rotational speed of 10 rpm, and a screen inclination angle of 0°. Screening efficiency is higher when particles exhibit an arithmetic distribution on the screen. This study provides valuable insights for the efficient operation and optimal design of cylindrical vibrating screens.

References

[1] Asbjornsson, G. , M. Bengtsson, E. Hulthen and Evertsson, Model of banana screen for robust performance. Miner Eng 2016; 91:66-73.

[2] Biresaw, G. and C. J. Carriere. Correlation between mechanical adhesion and interfacial properties of starch/biodegradable polyester blends. Polymer Science, Part B: Polymer Physics 2001; 39(9): 920– 930.

[3] Chen, B. , J. Yan, Z. Yin, et al. A new study on dynamic adjustment of vibration direction angle for dualmotor-driven vibrating screen[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 2021; 235(2): 186-196.

[4] Chen, B. , J. W. Yan, C. L. Xu, et al. DEM simulation and experimental study on the screening process of elliptical vibration mechanical systems. J Vibroeng 2019; 21(8): 2025–2038.

[5] Cleary, P. W. Large scale industrial DEM modelling. Eng Comput 2004; 21: 169–204.

[6] Dong, H. , C. Liu, Y. Zhao, et al. Influence of vibration mode on the screening process[J]. International Journal of Mining Science and Technology 2013; 23(1): 95-98.

[7] Elskamp, F. , H. Kruggel-Emden, M. Hennig, et al. Benchmarking of process models for continuous screening based on discrete element simulations. Miner Eng 2015; 83: 78–96.

[8] Elskamp, F. , H. Kruggel-Emden, M. Hennig, et al. Discrete element investigation of process models for batch screening under altered operational conditions. Powder Technol 2016; 301: 78–95.

[9] Jiang, H. , Y. Zhao, C. Duan, et al. Kinematics of variable amplitude screen and analysis of particle behavior during the process of coal screening. Powder Technol 2017; 306: 88–95.

[10] Johnson, K. L. , K. Kendall and A. D. Roberts. Surface energy and the contact of elastic solids. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 1971; 324(1558): 301– 313.

[11] Li, Y. J. , T. Ren, X. P. Meng, et al. Experimental and theoretical investigation on synchronization of a vibration system flexibly driven by two motors. ARCHIVE Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2020; 234(13): 25502562.

[12] Li, Y. J. , T. Ren, J. N. Zhang, et al. Synchronization of two eccentric rotors driven by one motor with two flexible couplings in a spatial vibration system. Math Probl Eng 2019: 1-13.

[13] Li, Y. J, X. Fang, J. N. Zhang, System and process for mud solid control. Patent 10233707 B2, USA, 2019.03.19,

[14] Li, Y. J, P. Zhao, L. Mo, et al. Numerical simulation of particle screening efficiency of large multi-layer vibrating screen based on discrete element method. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 2021; 236(2):565-574.

[15] Li, Z. F. , K. Y. Li, X. L. Ge, et al. Performance optimization of banana vibrating screens based on PSO-SVR under DEM simulations. J Vibroeng 2019; 21(1): 28–39.

[16] Li, M. , G. Z. Ma and Q. Lv. Mathematical modeling and optimization of spiral drum screen in the concrete residue recovery system. ARCHIVE Proceedings of the Institution of Mechanical Engineers. Part C: Journal of Mechanical Engineering Science 2020; 234(13): 0954406 22090794.

[17] Liao, G. W. , Y. Z. Jiang, Y. F. Hu, et al. Methods for characterizing moisture content of wet coal particles based on surface energy. China Powder Science and Technology 2021; 27(1): 71–79.

[18] Liu, C. , H. Wang, Y. Zhao, et al. DEM simulation of particle flow on a single deck banana screen[J]. International Journal of Mining Science and Technology 2013; 23(2): 273-277.

[19] Makinde, O. A. , B. I. Ramatsetse and K. Mpofu. Review of vibrating screen development trends: linking the past and the future in mining machinery industries. Int J Miner Process 2015; 145: 17–22.

[20] Ning, S. G. , J. Z. Xiao, G. F. Wang, P. C. Huang. Study on the particle stratification and penetration of a swing vibrating screen by using DEM[J]. Engineering Computations 2019; 37(3): 881-894.

[21] Safranyik, F. , B. M. Csizmadia, A. Hegedus, et al. Optimal oscillation parameters of vibrating screens[J]. Journal of Mechanical Science and Technology 2019; 33(5): 2011-2017.

[22] Shanmugam, B. K. , V. Harsha, R. M. Govinda, K. Marutiram, S. Rameshwar, H. Harish. Screening performance of coal of different size fractions with variation in design and operational flexibilities of the new screening machine[J]. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2023, 45(2): 4361-4369.

[23] Steffen, S. , A. Ermek and R. Benjamin, et al. Modelling of partially wet particles in DEM simulations of a solid mixing process. Powder Technology 2018; 338: 354–364.

[24] Tang, H. , Y. Jiang, J. Wang, et al. Numerical analysis and performance optimization of a spiral fertilizer distributor in side deep fertilization of a paddy field. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 2020; 235(18):3495-3505

[25] Wang, Z. Q., L. P. Peng, C. L. Zhang, L. Qi, C. S Liu, Y. M. Zhao. Research on impact characteristics of screening coals on vibrating screen based on discrete-finite element method[J]. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020, 42(16): 1963-1976.

[26] Wu, J. D. , C. S. Liu, H. S. Jiang, B. Zhang. A vibration-test-based calculation method of screening material mass of a mining crank-link type flip-flow screen[J]. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2024, 46(1): 9655-9675.

[27] Wu, X. Q. , Z. F. Li, H. H. Xia, et al. Vibration parameter optimization of a linear vibrating banana screen using DEM 3D simulation. Journal of Engineering & Technological Sciences 2018; 50(3): 346–363.

[28] Xu, N. , C. Yu, S. Gong, et al. Numerical study and multi-objective optimization of flexible screening process of flip-flow screen: A DEM-FEM approach[J]. Advanced Powder Technology 2022; 33(7): 103650.

[29] Yang, J. , W. Zhang, J. Gao, et al. Optimizing RAP sieving efficiency of linear vibrating sieve using DEM simulation[J]. Construction and Building Materials 2022; 333: 127442.

[30] Yin, P. , Y. J. Hou, X. J. Wu. Simulation of particles screening in pulsating negative pressure shale shaker by coupling CFD and DEM[J]. Engineering Computations 2022; 39(5): 1701-1722.

[31] Yin, Z. J. , H. Zhang, T. Han. Simulation of particle flow on an elliptical vibrating screen using the discrete element method[J]. Powder Technology 2016; 302: 443-454.

[32] Zadravec, M. , B. Orešnik, M. Hriberšek, et al. Two-step validation process of particle mixing in a centrifugal mixer with vertical axis. ARCHIVE Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 2018; 232(1): 29–37.

[33] Zhai, Y. X. , X. Y. Xiong and J. Tang. Impact disaggregation simulation of wet coal agglomerate using discrete element method. Coal Eng 2019; 12(51): 167–171.

[34] Zhao, La. La. , Y. M. Zhao, C. Y. Bao, Q. F. Hou, A. B. Yu. Optimisation of a circularly vibrating screen based on DEM simulation and Taguchi orthogonal experimental design[J]. Powder Technology 2017; 310: 307-317.

[35] Zhao, L. L. , Y. M. Zhao, C. Bao, et al. Optimisation of a circularly vibrating screen based on DEM simulation and Taguchi orthogonal experimental design. Powder Technol 2017; 310: 307–317.

[36] Zhong, W. Q. , A. B. Yu, X. J. Liu, et al. DEM/CFD-DEM modelling of nonspherical particulate systems: theoretical developments and applications. Powder Technol 2016; 302: 108–152.

[37] Zhu, H. P. , Z. Y. Zhou, R. Y. Yang, et al. Discrete particle simulation of particulate systems: a review of major applications and findings. Chem Eng Sci 2008; 63: 5728–5770.