Numerical analysis of hydrophobic surface effects on cavitation inception and evolution in high-speed centrifugal pumps for thermal energy storage and transfer systems
This study explores the influence of wettability surfaces on cavitation inception and evolution in high-speed centrifugal pumps used for thermal energy storage and transfer systems through numerical simulations. The simulations were conducted using the Kunz mass transfer model implemented in Fluent, combined with the Eulerian multiphase flow approach and the shear stress transport k–ω turbulence model. The cavitation dynamics were analyzed across contact angles ranging from superhydrophilic to superhydrophobic conditions. The results demonstrate that superhydrophobic surfaces delay cavitation onset compared to hydrophilic ones, reducing the critical cavitation coefficient by at least 28%. At flow rates of 1.11 Q0 and 0.89 Q0, cavitation numbers show distinct trends, with superhydrophobic surfaces enhancing cavitation stability and reducing the frequency of cavitation shedding. The reentrant jet dynamics are also affected, with increased hydrophobicity weakening the jets and stabilizing cavitation zones. This research aims to advance the understanding of using surface wettability to manage cavitation in high-speed centrifugal pumps, thereby improving the performance and reliability of thermal energy storage and transfer systems.
Authors
- Hongmei Yin (ORCID: https://orcid.org/0000-0002-5724-0326)
- Cong Wang (ORCID: https://orcid.org/0000-0002-4781-5165)
- Ziwei Wang (ORCID: https://orcid.org/0000-0001-5265-9745)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-1049-4249)
- Xiaoxu Fan
- MingDa Jiang
- Yu Ruan
- Dajiang Guo
Institutions
- Qilu University of Technology (CN)
- China Three Gorges Corporation (China) (CN)
- Energy Research Institute (CN)
- Shandong Academy of Sciences (CN)
Publication Details
- Journal
- Physics of Fluids
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1063/5.0229878
- Citations
- 5
- Primary Topic
- Cavitation Phenomena in Pumps
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Qilu University of Technology
- Key Technology Research and Development Program of Shandong