Design Optimization and Investigation of Aerodynamic Characteristics of Low Reynolds Number Airfoils-Reference-Cited by-同舟云学术

Design Optimization and Investigation of Aerodynamic Characteristics of Low Reynolds Number Airfoils

Published:2021-02-23 Issue:4 Volume:22 Page:751-764
ISSN:2093-274X
Container-title:International Journal of Aeronautical and Space Sciences
language:en
Short-container-title:Int. J. Aeronaut. Space Sci.

Author:

Arshad Ali^ORCID,Rodrigues Lucas Brandão,López Iñigo Martínez

Funder

European Regional Development Fund

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Aerospace Engineering,General Materials Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42405-021-00362-2.pdf

Reference29 articles.

1. Mueller TJ (1985) Low Reynolds number vehicles, AGARD-AG-288

2. Gross A, Fasel H (2010) Numerical investigation of separation for airfoils at low Reynolds number. In: 40th fluid dynamics conference and exhibit, Chicago

3. Kessler DA, Johnson R, Corrigan AT, Qidwai S, Merril S, Thomas J (2016) Modeling low-Reynolds-number flow over rough airfoils. In: 54th AIAA aerospace sciences meeting, San Diego

4. Drela M (1989) XFOIL: an analysis and design system for low Reynolds number airfoils. Springer, Cambridge

5. Katz J (2019) Classical and potential flow based aerodynamics - do we need them? In: AIAA Scitech 2019 Forum, San Diego

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Aerodynamic shape optimization at low Reynolds number using multi-level hierarchical Kriging models;Optimization and Engineering;2024-08-28

2. Computational investigations for topology optimization of UAV and small-scale aircraft wings;Archive of Mechanical Engineering;2024-04-29

3. Optimizing the Aerodynamic Efficiency of Different Airfoils by Altering Their Geometry at Low Reynolds Numbers;Arabian Journal for Science and Engineering;2024-04-16

4. Intelligent optimization method for real-time decision-making in laminated cooling configurations through reinforcement learning;Energy;2024-03

5. Cessna 172 G1000 Aircraft Airfoil Optimization Using Particle Swarm Optimization Method Applying a Direct Airfoil Design Approach to Obtain the Maximum Lift-to-Drag Ratio;Russian Aeronautics;2023-12