CFD-based multi-objective optimization of the duct for a rim-driven thruster

Zhai, Shuo; Jin, S.; Chen, Junquan; Liu, Zhihua; Song, Xiliang

doi:10.1016/j.oceaneng.2022.112467

Cited by 20 publications

(6 citation statements)

References 30 publications

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“…Here, R 1 is the radius of the inner surface of the duct The size of the computational domain used is sufficient based on previous research. 12,14,16,24,25 The origin of the coordinate system is located at the center of the rotor, as shown in Figs. 1 and 3(a).…”

Section: Computational Domain Boundary Conditions and Meshingmentioning

confidence: 99%

“…The rotating subdomain is set up to enclose the rotor. Noting the division of the subdomains is the same as that used by Zhai et al, 12 which is believed to be more accurate according to their findings. In our study, STAR-CCMþ is taken as the solver for the numerical simulations.…”

Section: Computational Domain Boundary Conditions and Meshingmentioning

confidence: 99%

“…Therefore, limited test data can be found in the literature by the public. 12 Based on the above geometries and common methods, researchers have conducted some studies on the hydrodynamics and optimization of RDT. Song et al 13 conducted simulations of the hydrodynamics of four pairs of RDTs with and without hubs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved efficiency with concave cavities on S3 surface of a rim-driven thruster

Li,

Yao,

Wang

et al. 2023

Physics of Fluids

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Rim-driven thrusters (RDT) are of great interest for the development of integrated electric motors for underwater vehicles. Gap flow is one of the most prominent flow characteristics and plays an important role in the hydrodynamic performance of RDT. In this study, the rim in a carefully designed RDT was modified with several concave cavities defined by four parameters, and their influence on hydrodynamics was carefully calculated and analyzed. The simulations were performed using the k-ω shear stress transport turbulence model by solving the unsteady Reynolds-averaged Navier–Stokes equations. The numerical method was verified using a popular combination. The numerical results showed that the concave cavities on the rim improve the propulsive efficiency of RDT by a maximum of 3.52%. The increase in the propulsive efficiency is directly associated with the parameters of the concave cavities. Nevertheless, the flow in the gap has a negligible effect on the main flow field through the RDT. According to the numerical analysis, the different pressure integrals at the front and back surfaces of the concave cavities are the main reason for the improvement of the propulsive efficiency. The modification of the rim is helpful and practical for the hydrodynamic optimization of the RDT.

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Section: Computational Domain Boundary Conditions and Meshingmentioning

confidence: 99%

Section: Computational Domain Boundary Conditions and Meshingmentioning

confidence: 99%

See 1 more Smart Citation

Improved efficiency with concave cavities on S3 surface of a rim-driven thruster

Li,

Yao,

Wang

et al. 2023

Physics of Fluids

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show abstract

“…With the continuous development of machine learning methods, model forms have gradually increased, and scholars have also studied the application of some approximate models in ship design, such as Kriging, 5,11,18,32 response surface methodology (RSM), 13,23,24 radial basis function (RBF). 10,29 In recent years, the application of neural networks in approximation technology has become a hot topic. In the field of hull optimization, neural network approximation technology is widely used in approximating resistance performance.…”

Section: Introductionmentioning

confidence: 99%

Hull form optimization research based on multi‐precision back‐propagation neural network approximation model

Liu,

Zhang,

Lai

et al. 2024

Numerical Methods in Fluids

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In order to shorten the optimization cycle of ship design optimization and solve the time‐consuming problem of computational fluid dynamics (CFD) numerical calculation, this paper proposes a multi‐precision back‐propagation neural network (MP‐BP) approximation technology. Fewer high‐precision ship samples and more low‐precision ship samples were used to construct an approximate model, back‐propagation (BP) neural network was used to train multi‐precision samples. So that the approximate model is as close as possible to the real model, and achieving the effect of high‐precision approximation model. Subsequently, numerical verification and typical hull form verification are given. Based on CFD and Rankine theory, the multi‐objective design optimization framework for ship comprehensive navigation performance is constructed. The multi‐objective approximation model of KCS ship is constructed by MP‐BP approximation technology, and optimized by particle swarm optimization (PSO) algorithm. The results show that the multi‐objective optimization design framework using the MP‐BP approximation model can capture the global optimal solution and improve the efficiency of the entire hull form design optimization. It can provide a certain degree of technical support for green ship and low‐carbon shipping.

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“…More flexible design methods, employing RANSE calculations for an accurate characterization of the interactions among the components of the propulsive system, were proposed as well. Zhai et al [10] investigated the design of the duct of a RIM-driven thruster by using a combination of RANSE data and surrogate models useful for a computationally efficient optimization-based design. A similar use of surrogate models was proposed in [11] for the design of the most efficient blades of a RIM propulsor, while Gaggero [12] proposed a SBDO framework for the design of RIM-driven thrusters simultaneously accounting for efficiency and cavitation.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Wake Evolution of a Set of RIM-Driven Thrusters

Gaggero

2023

JMSE

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In the current paper, high-fidelity improved delayed detached-eddy simulations (IDDES) using the OpenFOAM library are employed to characterize the performances and the wake dynamics of RIM-driven thrusters. Despite their relatively old conception, this type of propulsors has gained attention only recently thanks to innovative manufacturing technologies and materials, which finally have made possible their practical implementation. Fostered by stringent regulations on radiated noise and emissions enforced in protected areas, they are also replacing conventional thrusters and main propulsors. By mitigating the tip vortex cavitation and, more in general, by reducing the strength of tip vortices, indeed, these propulsors may grant a reduction in the induced pressure pulses and of the radiated noise without excessively sacrificing the efficiency of the equivalent ducted propellers they replace. To provide proof of this, three different RIM-driven thrusters (one four-bladed, two six-bladed) are analyzed and compared to a reference decelerating ducted propeller delivering the same thrust at identical functioning conditions. The evolution of the trailing wakes of the propulsors, the role of the leakage vortex, and the nozzle wake destabilizing effects, are highlighted, and the superior performances of RIM-driven thrusters, in terms of less intense tip vortices, are discussed. Near-field pressure pulses, as a measure of the radiated noise, are compared, showing a reduction in the sound pressure levels of the selected RIM propulsors up to 15 dB (non-cavitating case) with respect to the reference ducted propeller.

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CFD-based multi-objective optimization of the duct for a rim-driven thruster

Cited by 20 publications

References 30 publications

Improved efficiency with concave cavities on S3 surface of a rim-driven thruster

Improved efficiency with concave cavities on S3 surface of a rim-driven thruster

Hull form optimization research based on multi‐precision back‐propagation neural network approximation model

A Study on the Wake Evolution of a Set of RIM-Driven Thrusters

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