Application of CFD Numerical Simulations and Shape Optimization to Modify the Flow Characteristics of Throttle Valves

2025;
: pp. 33 – 43
https://doi.org/10.23939/jeecs2025.01.033
Received: April 17, 2025
Revised: May 31, 2025
Accepted: June 23, 2025

A. Dykas, U. Warzyńska. (2025) Application of CFD numerical simulations and shape optimization to modify the flow characteristics of throttle valves. Energy Engineering and Control Systems, Vol. 11, No. 1, pp. 33 – 43. https://doi.org/10.23939/jeecs2025.01.033

1
Wrocław University of Science and Technology
2
Wrocław University of Science and Technology

The aim of the study was to perform a numerical analysis using the CFD method of oil flow through a hydraulic valve gap and to perform an optimisation of the gap shape with a view to linearising the valve characteristics. As part of the work, a flow analysis of the valve was carried out using numerical simulations. This made it possible to develop the characteristics of the studied valve. The optimisation process started with a shape sensitivity analysis to determine the effect of geometry on key flow parameters such as pressure drop.  One of the resulting solutions selected on the basis of its functionality and technological manufacturing possibility was further analysed. The flow characteristics determined for the optimised design were compared with those of the original valve using statistical tools. It was shown that optimised geometry achieved a more linear characteristic, which will enable more precise throttle control using this valve.

  1. Wang, B., Zhao, X., Quan, L., Li, Y., Hao, Y., & Ge, L. (2023). A method for improving flow control valve performance based on active differential pressure regulation. Measurement, 219, 113271. https://doi.org/10.1016/j.measurement.2023.113271
  2. Lisowski, E., & Filo, G. (2017). Analysis of a proportional control valve flow coefficient with the usage of a CFD method. Flow Measurement and Instrumentation, 53(Part B), 269–278. https://doi.org/10.1016/j.flowmeasinst.2016.12.008
  3. Zhu, D., Fu, Y., Han, X., & Li, Z. (2020). Design and experimental verification on characteristics of electro-hydraulic pump. Mechanical Systems and Signal Processing, 144, 106771. https://doi.org/10.1016/j.ymssp.2020.106771
  4. Milani, M., Montorsi, L., & Paltrinieri, F. (2024). Experimental investigation of the suction capabilities of an innovative high speed external gear pump for electro-hydraulic actuated automotive transmissions. International Journal of Fluid Power, 25(2), 243–272. https://doi.org/10.13052/ijfp1439-9776.2527
  5. Castilla, R., Gamez-Montero, P. J., Ertürk, N., Vernet, A., Coussirat, M., & Codina, E. (2010). Numerical simulation of turbulent flow in the suction chamber of a gear pump using deforming mesh and mesh replacement. International Journal of Mechanical Sciences, 52(10), 1334–1342. https://doi.org/10.1016/j.ijmecsci.2010.06.001
  6. Pellegri, M., Manne, V. H. B., & Vacca, A. (2020). A simulation model of Gerotor pumps considering fluid–structure interaction effects: Formulation and validation. Mechanical Systems and Signal Processing, 140, 106720. https://doi.org/10.1016/j.ymssp.2020.106720
  7. Siwulski, T., & Warzyńska, U. (2021). Numerical investigation of the influence of the inlet nozzle diameter on the degree of fluid exchange process in a hydraulic cylinder. Engineering Applications of Computational Fluid Mechanics, 15(1), 1243–1258. https://doi.org/10.1080/19942060.2021.1958379
  8. Stryczek, J., & Stryczek, P. (2021). Synthetic approach to the design, manufacturing and examination of gerotor and orbital hydraulic machines. Energies, 14(3), 624. https://doi.org/10.3390/en14030624
  9. Li, R., Wang, Z., Xu, J., Yuan, W., Wang, D., Ji, H., & Chen, S. (2024). Design and optimization of hydraulic slide valve spool structure based on steady state flow force. Flow Measurement and Instrumentation, 96, 102568. https://doi.org/10.1016/j.flowmeasinst.2024.102568
  10. Zhang, C., Zhao, Y., Jiang, C., Guo, J., & Li, W. (2024). Structure optimization of electromagnetic valve to improve electromagnetic force. Journal of Magnetism and Magnetic Materials.  https://doi.org/10.1016/j.jmmm.2024.171600
  11. Moayedi, H., Chen, Y.-C., Liu, C.-Y., & Weng, C.-I. (2024). Geometry optimization of a vortex tube for use as a throttling device in natural gas liquefaction process. Cryogenics. https://doi.org/10.1016/j.cryogenics.2024.103366
  12. Meng, H., Zuo, S., Ren, W., & Li, Z. (2024). Multi-objective optimization design of triple-eccentric butterfly valve considering structural safety and sealing performance. Engineering Failure Analysis. https://doi.org/10.1016/j.engfailanal.2024.107280
  13. Xie, B., Guo, S., Zhang, Q., Zhang, X., & Chen, H. (2025). Multi-objective optimization of Tesla valve channel battery cold plate. Results in Engineering, 100052. https://doi.org/10.1016/j.rineng.2025.1006826
  14. Stryczek, S. (2017). Hydrostatic drive. Vol. 2: Systems (2nd ed.). Polish Scientific Publishers PWN (in Polish)
  15. Danielewska-Tułecka, A., Oprocha, P., & Kusiak, J. (2009). Optimization. Warsaw: Wydawnictwo Naukowe PWN. (in Polish)
  16. ANSYS Inc. (2017). ANSYS Fluent User's Guide (Version 18.2). ANSYS Inc.
  17. https://www.ponar-wadowice.pl/!uploads/attachments_prod/mg_wk496290_pl_11.2020.pdf
  18. Orlen Oil, „HYDROL L-HL”, Wersja 1 / 2023.07.17
  19. Blazek, J. (2005). Computational fluid dynamics: Principles and applications (2nd ed.). Elsevier
  20. Zalewski A., Grzesik W., Deja M., et al., CNC Machine Tools: Fundamentals of Operation and Programming, WNT, Warsaw 2024. (in Polish)