Interactive Online Aerodynamics Experiment: Lift and Drag on an Aerofoil Wing

Ahmed Aboelezz, Peter Makeen, Hani Ghali

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

Following the Covid_19 pandemic situation, the development of future online teaching and learning methodologies should focus on providing remote (distant) students with the same required skills as in a typical standard operation. In engineering education, experimentation has a critical role for students to acquire key physical concepts. Wing lift and drag measurements are the most important experiments in aerodynamics courses, where the design of any proposed online experimentation method should ensures that the student will gain the same practical skills as in a normal standard on-campus situation. Consequently, this design must ensure that the required theoretical, analytical concepts, and experimental skills are fully covered in any proposed online learning mechanism for the current and post Covid_19 situation. This paper presents an effort towards the development of new teaching and learning mechanism for aerodynamics experiments along with the corresponding assessment for online implementation in post Covid_19 situation. The experiment has been developed using an online mixed-reality (MR) approach, which will provide the students the ability to operate the experiments from anywhere at any time through access to an online platform that hosts the mixed-reality (MR) experiment.

Original languageEnglish
Title of host publicationArtificial Intelligence and Online Engineering - Proceedings of the 19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022
EditorsMichael E. Auer, Samir A. El-Seoud, Omar H. Karam
PublisherSpringer Science and Business Media Deutschland GmbH
Pages151-157
Number of pages7
ISBN (Print)9783031170904
DOIs
Publication statusPublished - 15 Oct 2022
Event19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022 - Cairo, Egypt
Duration: 28 Feb 20222 Mar 2022

Publication series

NameLecture Notes in Networks and Systems
Volume524 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference19th International Conference on Remote Engineering and Virtual Instrumentation, REV 2022
Country/TerritoryEgypt
CityCairo
Period28/02/222/03/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Distance learning
  • Experimental aerodynamics
  • Force measurements
  • Online labs

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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