Numerical analysis of the wake dynamics of a propeller

Wang, Luyao; Wu, Tiecheng; Gong, Jie; Yang, Yiren

doi:10.1063/5.0064100

Cited by 49 publications

(12 citation statements)

References 68 publications

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“…2013; Ahmed, Croaker & Doolan 2020; Wang et al. 2021 a , b ), performed on the four-bladed E779A marine propeller, clearly highlighted the dynamics of the tip and hub vortices. The tip vortex is the first to experience helical instabilities associated with self- and coil-to-coil interaction due to self-induction.…”

Section: Introductionmentioning

confidence: 93%

Vortex structures in the wake of a marine propeller operating close to a free surface

2022

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The present paper analyses the vortical structures in the wake of a naval propeller operating underneath a free surface using detached-eddy simulation. We investigate the flow topology for several loading conditions and compare it with analogous observations behind a propeller operating in open water. We show that the wake topology is similar to that observed in open water only for low-loading conditions. For mild blade loading, the free surface's presence seems to stabilize the flow. On the contrary, for high blade loading, the mutual interaction between the vortex system and the free surface leads to vortex breakdown that overshadows the multiple pairing mechanisms observed in open-water conditions.

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Section: Introductionmentioning

confidence: 93%

Vortex structures in the wake of a marine propeller operating close to a free surface

2022

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“…2021; Wang et al. 2021 a ; Shi et al. 2022) but cannot visualize the flow phenomena with specific frequencies.…”

Section: Introductionmentioning

confidence: 99%

“…To explore the wake dynamic and destabilization mechanisms of a marine propeller, both experimental techniques, e.g. laser Doppler velocimetry (LDV) (Felli & Di Felice 2005;Felli et al 2011) and particle image velocimetry (PIV) (Di Felice et al 2004;Felli, Di Felice & Guj 2006;Felli & Falchi 2018), and high-accuracy numerical models, such as large eddy simulation (LES) (Verma, Jang & Mahesh 2012;Kumar & Mahesh 2017;Posa et al 2019;Posa, Broglia & Balaras 2020Posa & Broglia 2021;Wang et al 2021b;Wang, Liu & Wu 2022), detached eddy simulation (DES) (Muscari, Di Mascio & Verzicco 2013;Di Mascio et al 2014;Muscari, Dubbioso & Di Mascio 2017;Wang et al 2019;Gong et al 2021;Zhang et al 2021) and its variants, including detached DES (DDES) (Zhang & Jaiman 2019;Shi et al 2022) and improved DDES (IDDES) (Qin et al 2021;Wang et al 2021a;Huang et al 2022;Li et al 2022), have been employed.…”

Section: Introductionmentioning

confidence: 99%

“…For example, time-resolved velocity signals monitored by experimental LDV (Felli et al 2011) or numerical probes (Shi et al 2022) are combined with time-frequency transform (or analysis) methods to explore the characteristic frequencies of flow phenomena and to investigate the energy transfer process in the propeller wake. The spectral analysis of individual spatial points can only qualitatively associate the flow signals with visible flow phenomena (Felli et al 2011;Gong et al 2021;Wang et al 2021a;Shi et al 2022) but cannot visualize the flow phenomena with specific frequencies. An alternative way to address this problem is to decompose the whole flow field and visualize the spatial modes using machine learning-based, reduced-order models (ROMs, Taira et al 2017;Brunton et al 2022).…”

Section: Introductionmentioning

confidence: 99%

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Effects of a nozzle on the propeller wake in an oblique flow using modal analysis

et al. 2023

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The effect of a nozzle on the wake dynamics of a four-bladed propeller operating in an oblique flow is investigated via modal decomposition and flow visualization of the results obtained from numerical simulations using delayed detached eddy simulations. The wake characteristics and destabilization mechanisms of a non-ducted propeller (NP) and ducted propeller (DP) in axisymmetric and oblique flow conditions are systematically analysed. The wake characteristics on the windward side are very different from those on the leeward side in an oblique flow, and the nozzle has a crucial role in mitigating the asymmetry and weakening the wake deflection. More destabilization mechanisms are present in an oblique flow than in an axisymmetric flow, including the asymmetric evolution and destabilization of the helixes on the windward and leeward sides of the NP wake, the interaction between the vortex shedding and the helixes in the DP leeward region, and the generation of a tube-shaped wake envelope around the nozzle and its rolling-up. Moreover, the effect of the nozzle on wake meandering is discussed based on modal analysis.

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“…Relative mature methods including wavelet analysis [7,8], Fourier transform analysis [9,10], bi-spectrum analysis [11,12], and entropy analysis [13,14] have been raised to realize accurate emitter identification. Especially, entropy analysis needs less computation amount and can precisely describe system's uncertainty [15].…”

Section: Introductionmentioning

confidence: 99%

Multi-Feature Multi-Sensor Fusion for Emitter Identification Based on a Modified DS Application

et al. 2022

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Emitter identification is a crucial task in electronic countermeasure technology area, which deeply affects the accuracy of subsequent threat estimation. In emitter identification system, sensors (transmitter and receiver) have inevitable inconsistency and fuzziness, along with possible ambiguity and instability under interference and malfunction. To manage the uncertainty in emitter identification system, we propose a multi-feature multi-sensor fusion algorithm based on a modified DS application. The modified DS application for emitter identification system is accomplished by two parts—multi-feature fusion based on the improved proximity approach to obtain basic probability assignment ( B P A ) and multi-sensor fusion based on the combination of two revised evidences to solve potential evidence conflicts. Firstly, the multi-feature fusion method based on the improved proximity approach is raised to produce the identification result for each receiver, which simultaneously build B P A s for DS application. Four entropies are extracted to establish the multi-feature description of received signal. Then, in order to solve the inconsistency among different receivers and realize multi-sensor fusion for emitter identification, the multi-sensor fusion method based on the combination of two revised evidences is proposed. Two revised evidences are put forward, respectively, by the introduction of Lance distance function and spectral angle cosine function before applying DS combination. Experiments and analyses comprehensively demonstrate the great uncertainty management performance and favorable emitter identification effect of the proposed algorithm.

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Numerical analysis of the wake dynamics of a propeller

Cited by 49 publications

References 68 publications

Vortex structures in the wake of a marine propeller operating close to a free surface

Vortex structures in the wake of a marine propeller operating close to a free surface

Effects of a nozzle on the propeller wake in an oblique flow using modal analysis

Multi-Feature Multi-Sensor Fusion for Emitter Identification Based on a Modified DS Application

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