2020
DOI: 10.1016/j.apor.2020.102087
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Design of Wake Equalizing Ducts using RANSE-based SBDO

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Cited by 25 publications
(10 citation statements)
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“…Experimental and numerical results collected over the years have confirmed these energy-saving actions and the functioning principles of these devices [8]. For fully blocked slow-speed vessels, wake-equalizing ducts were successfully designed [5,9,10], with promising decreases in the delivered power up to 6% based on numerical calculations. In the framework of the EU project GRIP [11][12][13][14], pre-swirl stators reached energy savings of 6%, which in the particular case of a twin-screw passenger vessel with hull shapes and functioning conditions usually not optimal for this type of application, were still close to 4%.…”
Section: Introductionmentioning
confidence: 66%
See 1 more Smart Citation
“…Experimental and numerical results collected over the years have confirmed these energy-saving actions and the functioning principles of these devices [8]. For fully blocked slow-speed vessels, wake-equalizing ducts were successfully designed [5,9,10], with promising decreases in the delivered power up to 6% based on numerical calculations. In the framework of the EU project GRIP [11][12][13][14], pre-swirl stators reached energy savings of 6%, which in the particular case of a twin-screw passenger vessel with hull shapes and functioning conditions usually not optimal for this type of application, were still close to 4%.…”
Section: Introductionmentioning
confidence: 66%
“…Pre-swirl fins inherit the parameters of the fins, then reduce to 14 the number of design parameters for the optimization process. The wake-equalizing duct is the simplest case, since its geometry is parametrized using only four quantities (diameter, chord, angle of attack and maximum sectional camber) capable of describing only the circular axisymmetric duct and not the complex, non-symmetric, shapes devised in [10,24].…”
Section: Parametric Description Of Esdsmentioning
confidence: 99%
“…Even if the computational time is kept as low as possible by the selection of the most efficient computational setup, high-fidelity RANS solvers do not provide the sufficient efficiency to be applied with success in an optimization design process. To overcome this issue, accurately trained surrogate models, as already proposed in [46][47][48][49][50], can substitute the high-fidelity solver to make the process applicable also at an industrial, time constrained, level. In current analyses, a Gaussian process (GP) based on the ordinary kriging method has been applied as surrogate model.…”
Section: Surrogate Modelmentioning
confidence: 99%
“…Moreover, full-scale analyses are mandatory since Reynolds effects can substantially change the flow field and the resulting optimal configuration of the device. Simulationbased design optimization methods, as those already applied for propeller or other ESDs designs (Gaggero 2020;Furcas et al 2020) represent a solid approach to deal with these needs, and successful results in the case of Pre-Swirl Stator fins have been already achieved using these approaches even if in the more usual case of fully-blocked and slow ships (Furcas and Gaggero 2021). SBDO, indeed, allows for systematic explorations of enlarged design spaces using the appropriate solvers (RANSE and/or coupled BEM/RANSE) mandatory for the characterization of the pre-swirl functioning.…”
Section: Introductionmentioning
confidence: 99%