Blade shape optimization in hover and forward flight

Filipe Szolnoky Cunha, Tomás Ortiz
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引用次数: 0

Abstract

Novel aircraft configuration, such as drones, have emerged during the last decades. This project aims to offer insights into drone development, enhancing its efficiency by means of rotor optimization utilizing well-established theoretical models based on blade element momentum theory for estimating thrust generation and power requirements at hover and forward flight. The impact on performance of chord and airfoils pitch angle, particularly focusing on the twist, which is how pitch changes along the blade, is analyzed, followed by optimizations of multiple chord and twist distributions at different flight conditions. Additionally, Computational fluid dynamics tools are employed to simulate resulting rotor geometries and to the baseline. Simulations and model predict power reductions of 3% to 17%, with negative twist rates and increased platform as main characteristics of most efficient geometries.
悬停和前进飞行中的叶片形状优化
过去几十年间,出现了无人机等新型飞机构型。本项目旨在为无人机开发提供见解,通过利用基于叶片元素动量理论的成熟理论模型进行旋翼优化,估算悬停和前飞时的推力产生和动力需求,从而提高无人机的效率。分析了弦长和机翼俯仰角对性能的影响,特别是对桨叶俯仰角变化的影响,随后对不同飞行条件下的多种弦长和桨叶俯仰角分布进行了优化。此外,还采用了计算流体动力学工具来模拟产生的转子几何形状和基线。模拟和模型预测功率可降低 3% 至 17%,负扭曲率和增加平台是最高效几何形状的主要特征。
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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