Search for Universal Minimum Drag Resistance Underwater Vehicle Hull Using CFD

In Autonomous Underwater Vehicles (AUVs) design, hull resistance is an important factor in determining the power requirements and range of vehicle and consequently affects battery size, weight, and volume requirement of the design. In this paper, we leverage on AI based optimization algorithm along with Computational Fluid Dynamics (CFD) simulation to study the optimal hull design that minimizes the resistance. By running the CFD based optimization at different operating velocity and turbulence intensity, we want to study/search the possibility of a universal design that will provide least resistance/ near optimal design across all operating condition (operating velocity) and environmental conditions (turbulence intensity). Early result demonstrated that the optimal design found at low velocity and low turbulence condition performs very poor at high velocity and high turbulence conditions. However, design that is optimal at high velocity and high turbulence condition performs near optimal across many considered velocity and turbulence conditions.