Design and CFD Self-Propulsion Analysis of a Ducted Propeller for a DARPA SUBOFF Hull Autonomous Underwater Vehicle

R. Sbragio, Alceu Moura, R. C. D. Silva
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引用次数: 3

Abstract

This paper presents the design and the CFD self-propulsion analysis of a ducted propeller to operate in a DARPA SUBOFF hull Autonomous Underwater Vehicle (AUV). The ducted propeller is of the pump jet type with 9 blades at the rotor and 11 blades at the stator. The interactive process of design and optimization uses the potential lifting line theory and CFD RANS analysis for obtaining the self-propulsion point, with the propeller placed behind the AUV hull. During the lifting line design, the rotor diameter, hub diameter, design rotation, blade section chord and length of the duct are modeled by a Kriging Metamodel technique and optimized through random sampling in order to maximize the quasi propulsive coefficient. The optimized configuration from the lifting line and Kriging Metamodel is analyzed using Ansys Fluent 2019 solver. The CFD analysis behind the hull allows including wake effects, thrust deduction factor and viscous effects directly into the model. The lifting line and CFD processes are used interactively to optimize the pitch, the circulation and the camber until the required thrust is achieved.
DARPA SUBOFF船体自主水下航行器导管螺旋桨设计及CFD自推进分析
本文介绍了用于DARPA SUBOFF船体自主水下航行器(AUV)的导管式螺旋桨的设计和CFD自推进分析。导管式螺旋桨为泵喷型,转子为9片叶片,定子为11片叶片。设计与优化的交互过程采用潜势升力线理论和CFD RANS分析来获得自推进点,将螺旋桨置于水下航行器船体后方。在升力线设计过程中,采用Kriging元模型技术对转子直径、轮毂直径、设计转速、叶片截面弦和风道长度进行建模,并通过随机抽样进行优化,使拟推进系数最大化。利用Ansys Fluent 2019求解器对提升线和克里格元模型优化后的配置进行了分析。船体背后的CFD分析允许将尾流效应、推力扣除因素和粘性效应直接纳入模型。升力线和CFD过程相互作用,以优化俯仰、循环和弧度,直到达到所需的推力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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