Blade shape optimization in hover and forward flight

Author:

Szolnoky Cunha FilipeORCID,Ortiz Tomás

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.

Publisher

MedCrave Group Kft.

Reference23 articles.

1. Cagnato R. Study on the effect of curvature on the aerodynamic properties of drone rotor blades. Master Thesis, Master of Science Degree in Aerospace Engineering-Instituto Técnico Superior, Universidad de Lisboa; 2020.

2. Caceres Andrade CA. Design of an aerodynamic profile for low Reynolds numbers using computational tools. Final Degree Project, Degree in Mechanical Engineering-Universidad de Pamplona; Colombia: 2021.

3. Walsh JL. Performance optimization of helicopter rotor blades. Proceedings of the Air Force/NASA Symposium on Recent Advances in Multi-Disciplinary Analyses and Optimization; 1990 September 24-26; San Francisco, CA, United States: NASA; 1991.

4. Bohorquez F. Rotor hover performance and system design of an efficient coaxial rotary wing micro air vehicle. Doctoral dissertation, College Park: University of Maryland; 2007.

5. Basic understanding of airfoil characteristics at low Reynolds Numbers (104-105);Winslow;J Aircraft,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3