Optimización de Hélices Marinas: Una Metodología de Dos Etapas con Algoritmos de Región de Confianza y Método Nelder-Mead con OpenFOAM

Authors

  • Nicolás A. Antonelli Universidad Nacional de Mar del Plata, Facultad de Ingeniería, Grupo de Ingeniería Asistida por Computadora & Universidad Tecnológica Nacional, Facultad Regional Mar del Plata, Grupo HidroSim & Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Mar del Plata, Argentina.
  • Gustavo E. Carr Universidad Nacional de Mar del Plata, Facultad de Ingeniería, Grupo de Ingeniería Asistida por Computadora & Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Mar del Plata, Argentina.
  • Santiago Urquiza Universidad Nacional de Mar del Plata, Facultad de Ingeniería, Grupo de Ingeniería Asistida por Computadora & Universidad Tecnológica Nacional, Facultad Regional Mar del Plata, Grupo HidroSim. Mar del Plata, Argentina.

DOI:

https://doi.org/10.70567/mc.v41i19.98

Keywords:

Marine hydrodynamics, Computational Fluid Dynamics, Shape optimization

Abstract

Propellers are essential in vessels as they convert engine energy into thrust, influencing their operation and efficiency. An incorrect selection can lead to issues with speed, maneuverability, and high fuel consumption. It is crucial to develop methodologies using CFD tools to make preliminary design estimations and ensure efficiency and safety. This work proposes a two-stage optimization approach: first, using a multivariable trust-region algorithm, followed by the Nelder-Mead method combined with constraints applied via Newton-Raphson in OpenFoam. Geometric variations in B-series propellers are studied, yielding performance improvements under specific operational conditions.

References

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Published

2024-11-08

Issue

Section

Conference Papers in MECOM 2024