Optimization and surrogate modeling of tip-rake propellers

This paper introduces a novel tool designed for the efficient development of unconventional propellers, notably tip rake and highly skewed propellers. The initial phase involves a parametric model that accepts any conventional propeller as input, transforming it into an unconventional one. This model introduces parameters that influence the geometry of the blade either globally or locally at the tip. The numerical analysis is conducted with panMARE, a BEM code from TUHH, under open water conditions. The validation of panMARE is accomplished by comparing it with the derived polynomials from B-series experimental results. Based on four main inputs: propeller diameter, inflow velocity, advance coefficient and required thrust coefficient an optimal 5-bladed B-series propeller is identified via cavitation examination using the Burrill diagram. This leads to a single-objective optimization process that utilizes the aforementioned parametric model. The process aims to maximize efficiency of the propeller with targeted thrust and a constraint on cavitation. Finally, the various outcomes from the optimization across different operational conditions are used for the development of a surrogate model for immediate result retrieval, introducing a promising new design approach based on artificial intelligence (AI).

Subjects

Unconventional Propellers

Parametric Modeling

CFD

Optimization

Surrogate Model

DDC Class

620: Engineering

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publishedVersion

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http://rightsstatements.org/vocab/InC/1.0/

Name

Arapakopoulos-OptimizationAndSurrogateModelingOfTiprakePropellers-1127-1-final.pdf

Type

Main Article

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3.35 MB

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Adobe PDF

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Optimization and surrogate modeling of tip-rake propellers