Impact of key airfoil blade parameters on the internal flow and vibration characteristics of centrifugal pumps

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

Pressure pulsations and transient fluid forces resulting from unstable internal flow can significantly impact the vibration performance operational stability of centrifugal pumps. This study delves into influence key parameters like airfoil blade thickness, outlet angle, curvature on dynamics characteristics these The research highlights how variations in primarily affect mid-to-rear regions impeller volute region. By optimizing angle blades, radius pressure side profile, maximum thickness within a specified range, demonstrates reduction velocity at outlet, alteration direction, mitigation vertical casing wall. These adjustments effectively decrease strength quantity vortex structures pump, leading to more stable regime. Consequently, this optimization minimizes rotor–stator interaction effects decreased wall, thereby reducing levels. However, deviations optimal parameters, such as coefficient A < 0.46, profile B 0.53, C > 0.11, lead an uneven distribution loads, increased radial forces, vorticity tongue, pulsations, ultimately compromising pump.

Язык: Английский

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Multi-scale flow-induced dynamic response in 710-MW Francis turbine: numerical investigation

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110345 - 110345

Опубликована: Май 1, 2025

Язык: Английский

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Data-driven identification of cavitation regimes using acoustic signatures of hydrofoil

Physics of Fluids, Год журнала: 2025, Номер 37(4)

Опубликована: Апрель 1, 2025

Cavitation, a fluid mechanics phenomenon characterized by the formation and collapse of vapor bubbles, poses significant challenges to marine applications inducing vibration, erosion, underwater noise pollution. Early detection accurate classification cavitation regimes are vital for mitigating these adverse effects enhancing hydrofoil performance. This study proposes data-driven approach identifying using acoustic signatures from hydrofoils. We developed four deep learning models, two one-dimensional (1D) raw signals leveraging two-dimensional (2D) mel-spectrogram representations, with without self-attention mechanisms. Models were trained validated on datasets collected low-pressure tunnel under flow velocity tested varied operational conditions. Results demonstrate that based models significantly outperform those in terms accuracy, generalization, robustness. Notably, combination inputs achieved highest overall accuracy 90% conditions, perfectly classifying cloud improving identification other regimes. These findings highlight effectiveness time-frequency domain analysis mechanisms real-time monitoring, offering valuable implications propeller efficiency reducing

Язык: Английский

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Multi-objective optimization of hydraulic performance of an ultra-low head axial-flow turbine with improved blade camber line configuration

Renewable Energy, Год журнала: 2025, Номер unknown, С. 123432 - 123432

Опубликована: Май 1, 2025

Язык: Английский

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Effect of protrusion structure on the performance of an advanced hydrodynamic cavitation reactor: An entropy-based analysis

Ultrasonics Sonochemistry, Год журнала: 2025, Номер 119, С. 107392 - 107392

Опубликована: Май 17, 2025

Hydrodynamic cavitation (HC) has emerged as a promising technique for process intensification. Recently developed advanced rotational hydrodynamic reactors (ARHCRs) have attracted significant attention from both academia and industry due to their notable economic advantages, high processing capacity, continuous operation in specific applications. However, existing evaluation optimization criteria these primarily rely on external parameters, often overlooking the complex micro-scale properties energy dissipation of internal flow within generation unit (CGU) ARHCRs. To address this, "simplified field" computational dynamics (CFD) approach combined with entropy production theory was employed assess impact protrusion installation upstream CGU ARHCR performance. The volume total were analyzed protrusions various shapes, circumferential offset angles (γ), radial positions (r), side lengths (s). findings revealed that ARHCRs is predominantly localized regions separation vortex formation CGU. Furthermore, an multiple design factors identified triangular γ 3.75°, r 122.5 mm, s 1 mm achieved optimal Comparative analysis field structures between baseline model demonstrated modifies downstream dynamics, stabilizes clearance field, reduces production. Additionally, modifications expand low-pressure region, thereby enhancing In this study, spatial distribution loss dominant pathways ARHCR, revealing underlying mechanism associated separation. These insights contribute deeper understanding efficiency offer foundation optimizing reactor minimize consumption enhance

Язык: Английский

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Fish-friendly optimization of low-head axial-flow turbines

Ocean Engineering, Год журнала: 2024, Номер 317, С. 120070 - 120070

Опубликована: Дек. 13, 2024

Язык: Английский

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