Shape Optimization And Propel System Design Of Autonomous Underwater Vehicle

Autonomous Underwater Vehicle(AUV),owing to its high stability,strong maneuverability and good concealment,is applied widely in the field of ocean exploration and military operations,etc.Because of the less inner space and limited energy carriage,it's critical to improve the energy efficiency.Thus,the shape optimization and propel system design of AUV,reducing the navigation resistance and improving the efficiency of the propeller propulsion,can efficiently improve AUV energy utilization.This article has carried on shape optimization and propel system design of AUV,the main contents are as follows:(1)After the comparative analysis of several classic AUV configuration,AUV prototype design was carried out,including the first cross-sectional portion of the body and tail rotors of linear and the selection and design of the rudder.(2)Using multidisciplinary optimization software ISIGHT,which is assembled with the NSGA-II genetic algorithm,to optimize AUV prototype.It mainly includes the parametric design of AUV model,the integration and automation of hydrodynamic calculation before and after the optimization of AUV,the analysis and process of optimization algorithm for calculation results.Autonomous Underwater Vehicle has the least navigation resistance and higher utilization of the internal space after the optimization.(3)Conducting a detailed map of AUV propeller design based on MAU4-45 propeller patterns design.In the guidelines for the design of optimal efficiency of the propeller,preliminary design and ultimate design of propeller patterns design was conducted to obtain the main geometric parameters of propeller qualified for AUV.(4)3D modeling and CFD numerical simulation of the AUV's propeller.Based on multiple reference frame(MRF)model simulating rotating flow field,the comparative analysis on the open water performance of the designed propeller under the k-?,RNG k-?,SST k-? turbulence model indicates that the RNG k-? has the most stable overall forecast efficiency,and the minimum error compared to the experimental value.