Computational Fluid Dynamics Simulation of Sloshing inside Beverage Cans on a Rotary Filling Machine
DOI:
https://doi.org/10.26034/lu.akwi.2024.6232Keywords:
Sloshing, rotary filler, CFD simulation, volume of fluid, single reference frame, openFoam, FluentAbstract
Sloshing is a critical issue in many industrial contexts. In the food industry, it becomes particularly relevant during the filling of beverage cans and bottles with automatic rotary machines, when the uncapped filled containers move to the transfer star wheel, suddenly changing direction of motion and potentially causing the spilling of the product. Deep knowledge of the system behavior and the fluid dynamics in the domain is essential to guarantee the safety and quality of the final products and processing environment. In this study, Computational Fluid Dynamics (CFD) was used to simulate sloshing in beverage cans using two CFD software: commercial ANSYS Fluent and open-source OpenFOAM. Some modeling strategies are explored with the aim of making the simulation more efficient without impacting the results, and an approach for tracking the maximum fluid level in the can is proposed. The modeling methodology was validated by means of an analytical model and by comparing the results calculated by the two software. Finally, operational insights were derived based on the results of a sensitivity analysis carried out by varying the star wheel diameter and the system productivity.
References
Elahi, R., Passandideh-Fard, M., & Javanshir, A. (2015). Simulation of liquid sloshing in 2D containers using the volume of fluid method. Ocean Engineering, 96, 226–244. https://doi.org/10.1016/j.oceaneng.2014.12.022
Guo, L. C., Zhang, S., Morita, K., & Fukuda, K. (2010). Fundamental validation of the finite volume particle method for 3D sloshing dynamics. International Journal for Numerical Methods in Fluids, 68(1), 1–17. Portico. https://doi.org/10.1002/fld.2490
Hirt, C. W., & Nichols, B. D. (1981). Volume of fluid (VOF) method for the dynamics of free boundaries. Journal of Computational Physics, 39(1), 201–225. https://doi.org/10.1016/0021-9991(81)90145-5
Guagliumi, L., Berti, A., Monti, E., & Carricato, M. (2022). Antisloshing Trajectories for High-Acceleration Motions in Automatic Machines. Journal of Dynamic Systems, Measurement, and Control, 144(7). https://doi.org/10.1115/1.4054224
Guagliumi, L., Berti, A., Monti, E., & Carricato, M. (2021). A Simple Model-Based Method for Sloshing Estimation in Liquid Transfer in Automatic Machines. IEEE Access, 9, 129347–129357. https://doi.org/10.1109/access.2021.3113956
Ian Wilson, D., & John Chew, Y. M. (2023). Fluid mechanics in food engineering. Current Opinion in Food Science, 51, 101038. https://doi.org/10.1016/j.cofs.2023.101038
Ibrahim, R. A. (2005). Liquid Sloshing Dynamics. https://doi.org/10.1017/cbo9780511536656
Liu, D., & Lin, P. (2008). A numerical study of three-dimensional liquid sloshing in tanks. Journal of Computational Physics, 227(8), 3921–3939. https://doi.org/10.1016/j.jcp.2007.12.006
Saltari, F., Traini, A., Gambioli, F., & Mastroddi, F. (2021). A linearized reduced-order model approach for sloshing to be used for aerospace design. Aerospace Science and Technology, 108, 106369. https://doi.org/10.1016/j.ast.2020.106369
Szpicer, A., Bińkowska, W., Wojtasik-Kalinowska, I., Salih, S. M., & Półtorak, A. (2023). Application of computational fluid dynamics simulations in food industry. European Food Research and Technology, 249(6), 1411–1430. https://doi.org/10.1007/s00217-023-04231-y
Tang, Y., Yue, B., & Yan, Y. (2018). Improved method for implementing contact angle condition in simulation of liquid sloshing under microgravity. International Journal for Numerical Methods in Fluids, 89(4–5), 123–142. Portico. https://doi.org/10.1002/fld.4685
Yu, L., Xue, M.-A., & Zhu, A. (2020). Numerical Investigation of Sloshing in Rectangular Tank with Permeable Baffle. Journal of Marine Science and Engineering, 8(9), 671. https://doi.org/10.3390/jmse8090671
Zhang, E. (2019). Numerical research on sloshing of free oil liquid surface based on different baffle shapes in rectangular fuel tank. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(2–3), 363–377. https://doi.org/10.1177/0954407019855569
Zheng, M.-Z., Gou, Y., Teng, B., & Jo, H. (2020). A practical prescreening method for sloshing severity evaluation. Petroleum Science, 17(4), 1119–1134. https://doi.org/10.1007/s12182-020-00453-x
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Federico Solari, Natalya Lysova, Roberto Montanari, Enrico Bedogni, Gabriele Copelli
This work is licensed under a Creative Commons Attribution 4.0 International License.