Drones Practicing Mechanics

Harshvardhan Uppaluru, Mohammad Ghufran, Aeris El Asslouj, Hossein Rastgoftar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mechanics of materials is a traditional engineering course that exposes undergraduate students in a variety of engineering fields to the principles of strain and stress analysis. However, material deformation and strain have been evaluated theoretically, numerically, and empirically tested using expensive machinery and instruments. This paper describes a novel method for analyzing strain and deformation using quadrotors. We propose to treat quadrotors as a finite number of particles of a deformable body and apply the principles of continuum mechanics to illustrate the concept of axial and shear deformation in 2-D and 3-D motion spaces. The outcome from this work has the potential to significantly impact undergraduate education by bridging the gap between classroom instruction and hardware implementation and experiments using quadrotors. Therefore, we introduce a new role for quadrotors as "teachers,"which provides an excellent opportunity to practice theoretical concepts of mechanics in a productive way.

Original languageEnglish (US)
Title of host publication2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages745-752
Number of pages8
ISBN (Electronic)9798350310375
DOIs
StatePublished - 2023
Event2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 - Warsaw, Poland
Duration: Jun 6 2023Jun 9 2023

Publication series

Name2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023

Conference

Conference2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023
Country/TerritoryPoland
CityWarsaw
Period6/6/236/9/23

ASJC Scopus subject areas

  • Control and Optimization
  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'Drones Practicing Mechanics'. Together they form a unique fingerprint.

Cite this