Use of Virtual Reality to Facilitate Engineer Training in the Aerospace Industry

• Autorzy: Paszkiewicz Andrzej , Salach Mateusz , Wydrzyński Dawid , Woźniak Joanna , Budzik Grzegorz , Bolanowski Marek , Ganzha Maria , Paprzycki Marcin , Cierpicki Norbert

Identyfikatory

DOI

10.22630/MGV.2023.32.2.2

• Języki publikacji: EN

Abstrakty

EN

This work concerns automation of the training process, using modern information technologies, including virtual reality (VR). The starting point is an observation that automotive and aerospace industries require effective methods of preparation of engineering personnel. In this context, the technological process of preparing operations of a CNC numerical machine has been extracted. On this basis, a dedicated virtual reality environment, simulating manufacturing of a selected aircraft landing gear component, was created. For a comprehensive analysis of the pros and cons of the proposed approach, four forms of training, involving a physical CNC machine, a physical simulator, a software simulator, and the developed VR environment were instantiated. The features of each training form were analysed in terms of their potential for industrial applications. A survey, using the Net Promoter Score method, was also conducted among a target group of engineers, regarding the potential of use of each training form. As a result, the advantages and disadvantages of all four training forms were captured. They can be used as criteria for selecting the most effective training form.

Słowa kluczowe

EN

virtual reality; industry 4.0; CNC machines; aviation industry; quality management

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2023
• Tom: Vol. 32, No. 2
• Strony: 19--44
• Opis fizyczny: Bibliogr. 22 poz., il., rys., tab.

Twórcy

autor

Paszkiewicz Andrzej

• Department of Complex Systems, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0000-0001-7573-3856

autor

Salach Mateusz

• Department of Complex Systems, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0000-0002-9199-3460

autor

Wydrzyński Dawid

• Department of Machine Design, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0000-0002-1403-9809

autor

Woźniak Joanna

• Department of Management Systems and Logistics, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0000-0002-3186-6347

autor

Budzik Grzegorz

• Department of Machine Design, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0000-0003-3598-2860

autor

Bolanowski Marek

• Department of Complex Systems, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0000-0003-4645-967X

autor

Ganzha Maria

• Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

• https://orcid.org/0000-0001-7714-4844

autor

Paprzycki Marcin

• Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

• https://orcid.org/0000-0002-8069-2152

autor

Cierpicki Norbert

• The Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, Rzeszów, Poland

• https://orcid.org/0009-0008-2287-4311

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).