3D Printing - An Important Industry 4.0 Tool for Online and Onsite Learning

Andre Espach, Kapil Gupta

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

2 Citations (Scopus)

Abstract

Additive manufacturing (AM) which is commonly named as 3D printing has been found as an important tool for teaching and learning in engineering education. For both, onsite and online learning, it is exploited to facilitate students in project works, trainings, and prototype development. Fused deposition modeling (FDM) is one of the important material additive manufacturing technologies used most. It is a rapidly growing manufacturing process that offers many opportunities for research in advancing its capabilities for the enhanced performance to obtain better product quality, higher productivity, and sustainability. This paper presents a review of 3D printing with special emphasis on use of FDM for online and onsite learning. It also includes a discussion on optimization strategies in FDM for ease of part fabrication for various applications. Tool path and topology optimization strategies have been found the most prominent for part structures made by FDM. The aim of this paper is to facilitate the teachers, scholars and researchers by providing knowledge on 3D printing and encourage them to harness the potential of digital technologies for the development of students.

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
Pages312-322
Number of pages11
ISBN (Print)9783031170904
DOIs
Publication statusPublished - 2023
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

Keywords

  • 3D printing
  • Additive manufacturing
  • Industry 4.0
  • Learning
  • Optimization

ASJC Scopus subject areas

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

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