Comparison studies on aerodynamic performances of a rotating propeller for small-size UAVs

Liu, Xiran; Zhao, Dan; Oo, Nay

doi:10.1016/j.ast.2023.108148

Cited by 21 publications

(6 citation statements)

References 28 publications

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“…Furthermore, it is suitable for the early design stages and can provide quick preliminary results, serving as a validation method for the integrated design of the solar-powered UAV body and power system. In future research, further optimization of the solar-powered UAV's airframe can be conducted using computational fluid dynamics (CFD) methods [10][11][12][13][14][15], particularly in addressing complex fluid dynamics issues, including turbulence, three-dimensional flow, and multiphase flow [16]. In the preliminary design stage, it is essential to determine the overall parameters of the UAV, including wing area and flight speed, while considering the efficiency and characteristics of the energy management system.…”

Section: Integrated Design Work Of the Solar-powered Uavmentioning

confidence: 99%

Integrated Design and Flight Validation of Solar-Powered Unmanned Aerial Vehicle (UAV) Structure and Propulsion System

Guo,

Qiu,

et al. 2023

Energies

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The development of solar-powered unmanned aerial vehicles (UAVs) primarily focuses on enhancing the efficiency of the propulsion system to minimize energy consumption during the conversion of valuable solar energy. However, due to the unique nature of UAV propulsion systems, there is limited cross-reference ability among existing solar-powered UAV systems. This paper proposes an integrated design approach for the propulsion system and UAV structure. Based on this approach, an overall design is conducted for the solar-powered UAV, including initial design goals and performance parameters. Aerodynamic layout design and performance estimation are carried out, and a prototype is fabricated and assembled for flight testing validation. The results demonstrate the significant importance of this approach in improving the efficiency of the solar-powered UAV propulsion system.

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Section: Integrated Design Work Of the Solar-powered Uavmentioning

confidence: 99%

Integrated Design and Flight Validation of Solar-Powered Unmanned Aerial Vehicle (UAV) Structure and Propulsion System

Guo,

Qiu,

et al. 2023

Energies

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“…If the edge of the blade deteriorates, the increased aerodynamic resistance of the propeller will increase the energy consumption and reduce the angular velocity. The decrease in angular velocity will affect the traction [ [1] , [2] , [3] , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Finding fault types of BLDC motors within UAVs using machine learning techniques

Andrioaia,

Gaitan

2024

Heliyon

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“…Lastly, because of the solid particles, a decrease in the wing section's aerodynamic efficiency is seen. Liu et al (Liu et al, 2023), compared the aerodynamic parameters while altering the freestream velocity, to look into the benefits and drawbacks of using the three distinct approaches. Considering its limitations, the BEMT proves to be a dependable method for estimating the aerodynamic parameters of a fixed-pitch propeller on a small scale.…”

Section: Introductionmentioning

confidence: 99%

Comparing Turbulence Models for CFD Simulation of UAV Flight in a Wind Tunnel Experiments

Aljuhaishi,

Al-Timimi,

Wahab

2024

Period. Polytech. Transp. Eng.

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Wind tunnel tests are costly and time-consuming, and the accuracy of the tests is limited by the size of the tunnel, to solve this problem, researchers use computational fluid dynamics (CFD) to conduct wind tunnel experiments using a computer because it is less timely and less costly. Computerized testing of drone's models using wind tunnel experiment simulation in computational fluid dynamic (CFD) software requires knowledge of the most suitable turbulence model for this drone. In this paper ANSYS fluent program has been used to test four most common turbulence models for use (Spalart-Allmaras, K-Epsilon, K-Omega and Reynolds stress) and laminar flow on the ScanEagle drone model (an aerial reconnaissance drone used in military and intelligence operations) and calculated their effect on aerodynamic parameters In terms of accuracy and time to solution, concluded that the best turbulence model in terms of balancing accuracy and the time taken for the calculation is K-Omega model.

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Comparison studies on aerodynamic performances of a rotating propeller for small-size UAVs

Cited by 21 publications

References 28 publications

Integrated Design and Flight Validation of Solar-Powered Unmanned Aerial Vehicle (UAV) Structure and Propulsion System

Integrated Design and Flight Validation of Solar-Powered Unmanned Aerial Vehicle (UAV) Structure and Propulsion System

Finding fault types of BLDC motors within UAVs using machine learning techniques

Comparing Turbulence Models for CFD Simulation of UAV Flight in a Wind Tunnel Experiments

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