An Implementation Approach for an Academic Learning Factory for the Metal Forming Industry with Special Focus on Digital Twins and Finite Element Analysis

Benjamin Ralph, Andreas Schwarz, Martin Stockinger

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


The requirements for the planning, implementation and operation of an academic learning factory vary depending on the specific area of the respective institution. This paper provides an approach for the planning and implementation of such a factory, specifically tailored to the requirements of the metal forming industry. This learning factory will then be operated at the Chair of Metalforming at the Montanuniversität Leoben (MUL). The objective is to monitor and control forming units of different technological maturity in a common system. The industrial software used, ibaPDA for data logging and ibaAnalyzer for automated further processing, is widespread in practice and enables students to learn the required skills as close to practice as possible. In addition, Analog to Digital (A/D) converters and machine hour counters will be implemented to illustrate the retrofitting approach in practice. For the planning and implementation of Digital Shadows and Digital Twins, common Finite Element (FE) simulation programs will be used and the possibilities of connectivity between machines, simulation programs and automation software will be demonstrated. The project presented here should thus make an important contribution to the training of future specialists with special consideration of the increasing interdisciplinarity in manufacturing technology.
Translated title of the contributionEin Implementierungsansatz für eine akademische Learning Factory für der umformtechnischen Industrie unter besonderer Berücksichtigung von Digitalen Zwillingen und Finite Elemente Analyse
Original languageEnglish
Pages (from-to)253-258
Number of pages6
JournalProcedia Manufacturing
Issue number45
Publication statusPublished - 29 Apr 2020
EventConference on Learning Factories - Technische Universität Graz, Graz, Austria
Duration: 15 Apr 202017 Apr 2020
Conference number: 10

Bibliographical note

Publisher Copyright:
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( Peer-review under responsibility of the scientific committee of the 10th Conference on Learning Factories 2020.


  • digital twin
  • Smart factory
  • learning factory
  • digitalization
  • Industry 4.0
  • Conference on Learning Factories

    Benjamin Ralph (Invited speaker)

    15 Apr 202017 Apr 2020

    Activity: Participating in or organising an eventParticipation in conference

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