Digitisation of ISO tolerances and fits selection

Authors

  • Tytas Savickas Klaipėdos valstybinė kolegija
  • Sigutė Savickienė Klaipėdos valstybinė kolegija https://orcid.org/0000-0002-2923-173X
  • Jūratė Vaitekonienė Klaipėdos valstybinė kolegija

DOI:

https://doi.org/10.52320/dav.v20i1.267

Keywords:

Active learning methods, educational computer programme MATAS, technical measurements, tolerances, fits

Abstract

To keep pace with the digital competence requirements of Industry 4.0, higher education institutions, which are training engineering professionals for industry, are introducing interactive, experiential education systems and digital technologies. This paper identifies the concepts of digitisation and digital transformation. It discusses the potential of Industry 4.0 for future workers to survive in a labour market demanding digital competences. Education 4.0 challenges are considered, addressing the training of high-level professionals, the prospects for modernising study infrastructure, learning and educational environments, the introduction of advanced (IT and other) technologies, and the development of digital competences of teachers. The paper presents the MATAS educational computer program developed by the authors, designed to optimise the selection of ISO tolerances and fits: it allows selecting dimensional tolerances, visualizing the location of the tolerance fields, providing guidance on the selection of tolerances, their calculation methods, their application and marking on drawings; it enables students to solve the tasks of technical measurements independently or to check the calculated results, and it also makes it easier for lecturers to facilitate their teaching process. The paper also introduces tolerance and system of fits, legal methodology, classification, and normalization of tolerances.

Published

2023-05-10

How to Cite

Savickas, T., Savickienė, S., & Vaitekonienė, J. (2023). Digitisation of ISO tolerances and fits selection. SUSTAINABLE ENVIRONMENTAL DEVELOPMENT, 20(1), 16–24. https://doi.org/10.52320/dav.v20i1.267