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Influence of solar panel on wing aerodynamic and structural characteristics of UAV

  • George Emad
  • , Amir Atef
  • , Mostafa El-Salamony*
  • , Mohamed Khalifa
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The addition of solar panels to an aircraft wing deforms the wing shape. As a result, the aerodynamic and structural characteristics are affected. Consequently, the range and endurance are directly changed. The purpose of this paper is to assess the impact of attaching solar panels to an unmanned aerial vehicle's wing on its aerodynamic performance and structure, using CFD and FEA approaches. Lift and drag are used to analyze the aerodynamic performance. It is found that the solar panel has a minor effect on the aerodynamic performance of the wing, while it has a bigger effect on the UAV wing structure.

Original languageEnglish
Title of host publicationNILES 2022 - 4th Novel Intelligent and Leading Emerging Sciences Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-111
Number of pages4
ISBN (Electronic)9781665452410
DOIs
StatePublished - 2022
Externally publishedYes
Event4th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2022 - Giza, Egypt
Duration: 22 Oct 202224 Oct 2022

Publication series

NameNILES 2022 - 4th Novel Intelligent and Leading Emerging Sciences Conference, Proceedings

Conference

Conference4th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2022
Country/TerritoryEgypt
CityGiza
Period22/10/2224/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Aerodynamics
  • CFD
  • FEA
  • SPUAV
  • Solar panel
  • Structure
  • Structure analysis
  • solar-powered unmanned aerial vehicle
  • stress analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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