Design and hydrodynamic coefficient identification of deep-sea unmanned underwater vehicles

Abstract This study initially designed a deep-sea unmanned underwater vehicle (UUV) employing a double-hull pressure-resistant structure, resolving pressure containment challenges through a three-tier protective system comprising “pressure-bearing inner hull, oil-filled buffer layer, and flow-guiding outer shell.” Subsequently, computational fluid dynamics (CFD) methodology was employed to conduct flow field analysis and numerical simulations of the vehicle. Ultimately, the acquisition of key hydrodynamic coefficients for the UUV was achieved through multiple linear regression methodology. This research establishes theoretical foundations for deep-sea UUV design, with particular emphasis on the derivation of critical hydrodynamic coefficients, providing essential support for subsequent motion control modeling of autonomous underwater vehicles (AUVs).

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-09-01
DOI
https://doi.org/10.1088/1742-6596/3098/1/012028
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
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article

Design and hydrodynamic coefficient identification of deep-sea unmanned underwater vehicles

Wenjing Yu, H. Hua, Zhen Zhang, Huarui Wang
Journal of Physics Conference Series
Hydraulic and Pneumatic Systems
article

Design and hydrodynamic coefficient identification of deep-sea unmanned underwater vehicles

Wenjing Yu, H. Hua, Zhen Zhang, Huarui Wang
article en

Abstract

Abstract This study initially designed a deep-sea unmanned underwater vehicle (UUV) employing a double-hull pressure-resistant structure, resolving pressure containment challenges through a three-tier protective system comprising “pressure-bearing inner hull, oil-filled buffer layer, and flow-guiding outer shell.” Subsequently, computational fluid dynamics (CFD) methodology was employed to conduct flow field analysis and numerical simulations of the vehicle. Ultimately, the acquisition of key hydrodynamic coefficients for the UUV was achieved through multiple linear regression methodology. This research establishes theoretical foundations for deep-sea UUV design, with particular emphasis on the derivation of critical hydrodynamic coefficients, providing essential support for subsequent motion control modeling of autonomous underwater vehicles (AUVs).

Journal of Physics Conference SeriesVol. 3098(1)
Naval University of Engineering (CN)
Openalex Percentile: Top 75%
Hydraulic and Pneumatic Systems
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