用CFD寻求通用最小阻力水下航行器船体
Search for universal minimum drag resistance underwater vehicle hull using CFD
摘要：
在自主式水下航行器（AUV）设计中，船体阻力是决定航行器功率要求和航程的重要因素，进而影响设计对电池尺寸、重量和体积的要求。在本文中，我们利用基于人工智能的优化算法以及计算流体动力学（CFD）模拟来研究最小化阻力的最优船体设计。通过在不同的运行速度和湍流强度下运行基于CFD的优化，我们希望研究/搜索通用设计的可能性，该通用设计将在所有运行条件（运行速度）和环境条件（湍流强度）下提供最小阻力/接近最优的设计。早期的结果表明，在低流速和低湍流度条件下找到的优化设计在高流速和高湍流度条件下表现得很差。然而，在高速和高湍流条件下最佳的设计在许多考虑的速度和湍流条件下表现接近最佳。
英文摘要：
In Autonomous Underwater Vehicles (AUVs) design, hull resistance is an important factor in determining the power requirements and range of vehicle and consequently affect 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 minimizing the resistance. By running the CFD-based optimization at different operating velocities 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 conditions (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, a design that is optimal at high velocity and high turbulence conditions performs near-optimal across many considered velocity and turbulence conditions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
