Ocean Engineering, Journal Year: 2024, Volume and Issue: 313, P. 119386 - 119386
Published: Sept. 30, 2024
Language: Английский
Geoenergy Science and Engineering, Journal Year: 2024, Volume and Issue: 237, P. 212832 - 212832
Published: April 17, 2024
Language: Английский
Citations
11
International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 275, P. 109345 - 109345
Published: May 3, 2024
Language: Английский
Citations
9
Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)
Published: Jan. 1, 2025
To reduce the adverse damage caused by cavitation phenomena to hydraulic machinery, such as surface erosion of equipment, increased mechanical vibration, and decreased service life, this review summarizes from aspects instability mechanisms, prediction methods, suppression methods. In terms flow two main mechanisms that affect shedding cloud cavitation, reentrant jet, bubbly shock wave, were thoroughly summarized. It is pointed out behavior cavity greatly influenced thickness jet relative cavity, wave also one important factors in vortex dynamics. a detailed comparison analysis made between traditional methods based on numerical simulation currently popular neural networks. The former mainly includes models turbulence models, while latter application chain physics-informed network, pressure–velocity long short-term memory, other networks prediction. artificial intelligence predictive have advantages model order reduction accurate field feature parameters. active passive Finally, current research status hydrofoil article discusses looks forward direction development.
Language: Английский
Citations
0
Ocean Engineering, Journal Year: 2025, Volume and Issue: 321, P. 120437 - 120437
Published: Jan. 26, 2025
Language: Английский
Citations
0
International Journal of Multiphase Flow, Journal Year: 2025, Volume and Issue: unknown, P. 105206 - 105206
Published: March 1, 2025
Language: Английский
Citations
0
Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(4)
Published: April 1, 2025
The cavitation cloud is a significant guide for the assessment of non-constant behavior water jets. Nevertheless, mechanism by which evolves when jet applied to different target surface shapes remains unclear. In order investigate evolution and collapse clouds on shapes, this study employs high-speed visualization system observe jets impinging concave, planar, convex surfaces. By analyzing shedding morphological surface, influence shape explored, law obtained. frequency ring formation approximately 0.7 ms strikes concave surfaces 0.8 hits planar Furthermore, variation structure illustrated proper decomposition (POD) Dynamic Mode Decomposition (DMD) analyses, demonstrate that targets are prone triggering high-frequency turbulence unstable vortex structures. contrast, plane tend stabilize flow, although they also exhibit instability in higher-order modes. flows upon impact with simulated using Large Eddy Simulation (LES) model conjunction Zwart–Gerber–Belamri (ZGB) model. results impacting generates series reflows central region. These not only result vortices but exert cloud, accelerating its discharging frequency. impingement planes less sensitivity refluxes. provide technical support application (cleaning tube, casing), flat (shot peening), submarine pipelines) contribute broader understanding erosion
Language: Английский
Citations
0
Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136517 - 136517
Published: May 1, 2025
Language: Английский
Citations
0
Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(8), P. 1277 - 1277
Published: July 29, 2024
This study investigates cloud cavitation suppression around a model-scale NACA66 hydrofoil using active water injection and explores the effect of multiple parameters. Numerical simulations mixed-level orthogonal test method are employed to systematically analyze impact jet angle αjet, location Ljet, velocity Ujet on efficiency energy performance. The reveals that has greatest influence suppression, while optimal parameter combination (Ljet = 0.30C, αjet +60 degrees, 3.25 m/s) effectively balances performance reducing volume by 49.34% improving lift–drag ratio 8.55%. found jet’s introduction not only enhances vapor condensation reduces intensity vapor–liquid exchange process but also disrupts internal structure clouds elevates pressure suction surface, thereby suppressing cavitation. Further analysis shows positive-going horizontal components enhance ratio, negative-going have detrimental effect. Jet arrangements near trailing edge negatively both These findings provide valuable reference for selecting parameters achieve balance between in hydrodynamic systems.
Language: Английский
Citations
3
Applied Ocean Research, Journal Year: 2024, Volume and Issue: 151, P. 104152 - 104152
Published: Aug. 10, 2024
Language: Английский
Citations
3
Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(7)
Published: July 1, 2024
Recovering full states from limited observations provides supports for active control of the cavitation, preventing power loss due to cavitation erosion. Recent advances in deep learning provide essential support constructing accurate state estimators. In this work, commonly used CNNs (convolutional neural networks)-based encoder reconstructing full-state field sparse is carefully investigated. The results reveal that potential information and weak negative correlations between features generated by can significantly impair feature representation capability models. To address these issues, a specially designed transformer-based employed work generate dense positively correlated decoder. Tests on dataset demonstrate impressive improvements prediction accuracy. Moreover, visualizations training process also confirm enhanced convergence speed model improvements. Notably, represents first specifically predicting velocity fields pressure hydrofoil. proposed holds promise achieve flow reconstruction, providing aimed at enhancing turbine operational efficiency reducing loss.
Language: Английский
Citations
2