Otonom su alti araçlarini (AUV) lattice ve topoloji optimizasyon teknikleri ile geliştirmek

This study investigates various advanced computational techniques in Lattice Optimization, aiming to maximize the hydrodynamic efficiency and structural design of the Autonomous Underwater Vehicles (AUV), to meet higher manoeuvrability performance, durability, and payload capacity. Our goal is focused on reaching a very compact AUV design with high manoeuvrability as a base model. ANSYS engineering simulation and N-Topology software were used to run rigorous Computational Fluid Dynamics (CFD) simulations, to assess the lattice configuration hydrodynamic performance. Lattice Optimization allows for incorporating more functions into AUV components by accommodating extra sensors and wiring while minimizing space usage. Five different AUV streamlined design shapes, inspired by the Crab Shell, Mantay Ray, Reduced size, Cockroach Shape, and Tube Shape were selected for the study. The five different iterations of fluid flow patterns were examined through different thrusters and flange design configurations, scoring the advantages, recording the flaws of each design, and presenting the results. The most effective lattice design was identified through the examination of the fluid flow patterns and drag coefficients, succeeding in reducing the hydrodynamic drag and improving overall AUV efficiency in underwater environment.