Assessment of the Possibility of Cavitation in Pumps
DOI:
https://doi.org/10.36910/4293-52779-2025-17-02-10Keywords:
cavitation, pump, cavitation margin, modeling, algorithm, PythonAbstract
The paper describes the main parameters that affect the cavitation process: flow velocity, pressure, and fluid viscosity. An algorithm is described that takes into account the main parameters of pump operation (pressure, temperature, volumetric flow rate) for automating the calculation of cavitation margin, and its software implementation in Python is performed. The dependence of the cavitation coefficient on temperature for three liquids: water, ethanol, and acetone, is analyzed. The dependence of the cavitation coefficient on the velocity of various liquids is analyzed. Conclusions are made about the influence of temperature and fluid velocity on the cavitation coefficient.
References
[1] Taseidifar M., Antony J.J., Pashley R. Prevention of Cavitation in Propellers. Substantia. 2021, № 4, P.109-117.
[2] Experimental and numerical investigations of tip vortex cavitation for the propeller of a research vessel, «The Princess Royal». URL: https://surl.li/ubydpd (дата звернення: 15.07.2025).
[3] Impact of design parameters on the performance of centrifugal pumps. URL: https://www.sciencedirect.com/science/article/pii/S2351978919306638 (дата звернення: 15.07.2025).
[4] Custodio, know and understanding centrifugal pump. URL: https://sea-connect.com/assets/img/uploads/pdf/fc6ec98d88ba46dc32bf483b7589ff07.pdf (дата звернення: 15.07.2025).
[5] Pumping Up Energy Efficiency. URL: https://www.iea.org/events/10th-annual-global-conference-on-energy-efficiency (дата звернення: 15.07.2025).
[6] On cavitation in fluid power. URL: https://surl.li/uladdr (дата звернення: 15.07.2025).
[7] Pump Handbook. URL: https://turbosan.com/pdf/pumphandbook.pdf (дата звернення: 15.07.2025).
[8] A vibration cavitation sensitivity parameter based on spectral and statistical methods. URL: https://surl.lt/hnxrsb (дата звернення: 15.07.2025).
[9] Guo F., Li W., Jiang P., Chen F., Liu Y. Deep Learning Approach for Damage Classification Based on Acoustic Emission Data in Composite Materials. Materials. 2022. 15 (12), р. 4270.
[10] Detection of cavitation in situ operation of kinetic pumps: Effect of cavitation on the characteristic discrete frequency component. URL: https://surl.lu/hteqyj (дата звернення: 15.07.2025).
[11] Zhang N., Li D., Gao B., Ni D., Li Z. Unsteady Pressure Pulsations in Pumps. A Review. Energies, 2023, 16, р. 150.
[12] Toyran E., Rokhsar T.-F., Tzanakis I., Ghorbani M., Kosar A. Cavitating flow morphology determination in cavitation-on-a-chip devices based on local real-time pressure measurements. Physics of Fluids. 2025. Vol. 37.
[13] Fundamentals of fluid mechanics. URL: https://surl.lt/jpjcya (дата звернення: 15.07.2025).
Published
Issue
Section
License
Copyright (c) 2025 Гуменюк П. О., Гуменюк Л. О., Дерлюк С. О.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
