Mathematical model for maneuverability of a riverine support patrol vessel with a pump-jet propulsion system

Carreno, Jorge; Mora, Jaime David; Pérez, F.

doi:10.1016/j.oceaneng.2013.01.022

Cited by 13 publications

(8 citation statements)

References 7 publications

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“…PJP can be classified into two different types depending on the stator: pre-swirl stator and pre-swirl rotor. Most previous studies have analyzed the pre-swirl-rotor-type PJP [11,14,15,19]. Herein, PJP is mainly applied in an AUV; thus, the pre-swirl-rotor-type PJP is considered herein.…”

Section: Geometric Model Of Pjpmentioning

confidence: 99%

“…For the numerical calculation method, studies have used numerical technology to study the hydrodynamic performance, which optimized the design scheme in the early PJP research [6][7][8][9]. With the development of computer technology, some researchers have employed the CFD method to analyze the hydrodynamic technology and cavitation properties of PJPs [10][11][12][13]. The author studied the hydrodynamic technology and tip clearance field performance of PJPs using the CFD method and Shear-Stress-Transport (SST) k − ω model, which also obtaining refined flow field results [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Cavitation Performance over the Pump-Jet Propulsor Using Computational Fluid Dynamics and Hybrid Deep Learning Method

Qiu

Huang

Pan

2022

JMSE

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The cavitation performance of an oblique flow field is different from that under a pure axial flow field. This study analyzed the hydrodynamic performance, bearing force, and tip clearance flow field under different rotating speeds and different cavitation numbers in an oblique flow field. Furthermore, this study proposed a hybrid deep learning model CNN-Bi-LSTM to quickly and accurately predict the bearing force of a pump-jet propulsor (PJP), which will solve the problem of time-consuming calculation and consumption of considerable computing resources in traditional computational fluid dynamics. The Shear–Stress–Transport model and Reynolds-averaged Navier–Stokes equations were utilized to procure the training and testing datasets. The training and testing datasets were reasonably divided in the ratio of 7:3. The results show that the propulsion efficiency decreased more obviously under higher rotating speed conditions, with a maximum decrease of up to 13.59%. The small cavitation numbers 1.4721 and high oblique angle significantly impacted the efficiency reduction; the maximum efficiency loss exceeded 20%. Thus, a small cavitation number 1.4721 is extremely detrimental to the propulsion efficiency of the PJP due to the large cavitation area. Moreover, the intensity of the tip clearance vortex continuously increased with the rotating speed. The CNN-Bi-LSTM deep model successfully predicted the phase difference and trend change of the propulsor bearing force under different conditions. The prediction difference was large at the crest and trough of the bearing force, but it is within the acceptable error range.

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Section: Geometric Model Of Pjpmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of Cavitation Performance over the Pump-Jet Propulsor Using Computational Fluid Dynamics and Hybrid Deep Learning Method

Qiu

Huang

Pan

2022

JMSE

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“…Then the approximate first-order equation of maneuvering motion was came up, such that the mobility and stability can be measured by parameters K and T. In 1944, Kemdf did a comprehensive zigzag test on 75 freighters and published the maneuverability results [4] .Through the motion simulation of the rudder angle and the heading figure of Esso Osaka model ship, Lucia Moreira analyzed and calculated parameters K and T based on Nomoto equation [5] . J. E. Carreno got the X/Y ranges and performed the numerical simulation of constant rotary motion on RSPV under the different water depths based on fourth-order Runge-Kutta method [6] . B. Wang established the motion equation and built the simulation system based on the experimental hydrodynamic coefficients, and conducted simulation on mini AUV's Horizontal Turning Circle Maneuver, Vertical Trapezoid Maneuver and Horizontal Zigzag Maneuver [7] .…”

Section: Related Workmentioning

confidence: 99%

Horizontal Zigzag maneuverability of UUV in limited space

Xia

Zhao

2014

The 26th Chinese Control and Decision Conference (2014 CCDC)

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“…Compared with the traditional marine propeller, a waterjet propulsion system has many advantages, for example, strong anti-cavitation capability and high propulsion efficiency (Lam et al, 2011). Recently, many achievements in the modelling of the waterjet propulsion system have been obtained both in dynamic modelling (Carren˜o et al, 2013;Han et al, 2016;Rebhi and Nejim, 2015) and in numerical modelling (Eslamdoost and Vikstro¨m, 2019;Park et al, 2005). Collectively, these studies mostly focused on the propulsion system itself, and rarely took the dynamic characteristic of the steering system into account.…”

Section: Introductionmentioning

confidence: 99%

Modelling and synchronous control for a dual-waterjets propulsion steering system

Gong

Hui

et al. 2021

Transactions of the Institute of Measurement and Control

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Waterjet propulsion is increasingly used in both combat and civil ships. In this study, a mechanism analysis-based modelling approach of a dual-waterjets propulsion steering system is presented. Experiments carried out on an experimental platform are used to validate the model system. Then a model-based synchronous control strategy for the dual-waterjets propulsion steering system is developed. The experiment results show that the model-based proportional–integral synchronous control strategy may reduce the synchronization error significantly compared with the reciprocal of the synchronization error driving synchronous control strategy practised on some small ships.

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Mathematical model for maneuverability of a riverine support patrol vessel with a pump-jet propulsion system

Cited by 13 publications

References 7 publications

Prediction of Cavitation Performance over the Pump-Jet Propulsor Using Computational Fluid Dynamics and Hybrid Deep Learning Method

Prediction of Cavitation Performance over the Pump-Jet Propulsor Using Computational Fluid Dynamics and Hybrid Deep Learning Method

Horizontal Zigzag maneuverability of UUV in limited space

Modelling and synchronous control for a dual-waterjets propulsion steering system

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