Autonomous underwater vehicles hull shape resistance prediction and multi-objective optimization using CFD

• DOI: 10.1049/icp.2024.3528
• Publication Date: 2025-01-08T15:43:01Z
• Authors: Xinfeng Si; Yang Ge; Jinxiao Zhu; Wenzhi Liu; Hanqiang Liu; Liming Yu
• Keywords: Shape Optimization

The development of Autonomous Underwater Vehicles (AUVs) has become a priority for numerous countries. Achieving low drag and high efficiency in these vehicles is essential enhancing their endurance. To effectively reduce energy consumption improve navigation durability, parametric Myring shape model was established, the Computational Fluid Dynamics (CFD) method employed to predict flight resistance at cruising speed. accuracy reliability CFD were subsequently verified. A surrogate then constructed optimize hydrodynamic performance, with optimal space filling applied sample sampling generate nonparametric regression response surface. This surface optimized using multi-objective optimization algorithm, resulting 9.5% reduction while maintaining sufficient volume, given constant overall length diameter.