Enhancing teaching and research skills in metal casting through a virtual casting lab

Anwar K. Sheikh, Muhammad A.A. Khan*, Zuhair M. Gasem, Hassan Iqbal

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This article describes the establishment of a virtual metal casting lab at King Fahd University of Petroleum and Minerals (KFUPM) and its relevance in engineering education (teaching and research). The main objective of this work is to communicate the importance of virtual metal casting in engineering education and research, and to provide a framework for establishing and developing a lab to expand research in the area. Casting simulation softwares are briefly introduced followed by the details of setting up the lab and utilization of MAGMASoft at KFUPM. This includes methods of acquiring licenses of the software and its training, collaboration with the local industries, learning and capacity building at KFUPM at several stages. The utilization of casting simulations in undergraduate and graduate teaching, and in funded research projects reflects the continuous development of teaching and research skills of students, instructors, and researchers at the institution. Evaluation of virtual casting lab is discussed. Invigorated by encouraging results of the existing lab, an extension in the lab is proposed leading to a virtual casting quality center at KFUPM. It is expected that the results presented in this study will encourage institutes, universities, and industries in the region to develop in-house virtual casting facilities for expanding research and development in the field.

Original languageEnglish
Article numbere12362
JournalEngineering Reports
Volume3
Issue number7
DOIs
StatePublished - Jul 2021

Bibliographical note

Publisher Copyright:
© 2021 The Authors. Engineering Reports published by John Wiley & Sons, Ltd.

Keywords

  • casting
  • education
  • simulation
  • software
  • virtual

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering

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