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dc.contributor.authorBenjamin James Ralph
dc.contributor.authorMarcel Sorger
dc.contributor.authorBenjamin Schödinger
dc.contributor.authorHans-Jörg Schmölzer
dc.contributor.authorKarin Hartl
dc.contributor.authorMartin Stockinger
dc.contributor.otherChair of Metal Forming, Montanuniversität Leoben, Franz Josef Str. 18, 8700 Leoben, Austria
dc.contributor.otherChair of Metal Forming, Montanuniversität Leoben, Franz Josef Str. 18, 8700 Leoben, Austria
dc.contributor.otherChair of Metal Forming, Montanuniversität Leoben, Franz Josef Str. 18, 8700 Leoben, Austria
dc.contributor.otherChair of Metal Forming, Montanuniversität Leoben, Franz Josef Str. 18, 8700 Leoben, Austria
dc.contributor.otherChair of Metal Forming, Montanuniversität Leoben, Franz Josef Str. 18, 8700 Leoben, Austria
dc.contributor.otherChair of Metal Forming, Montanuniversität Leoben, Franz Josef Str. 18, 8700 Leoben, Austria
dc.date.accessioned2021-04-23T00:05:32Z
dc.date.available2025-10-02T04:29:20Z
dc.date.issued01-04-2021
dc.identifier.issn-
dc.identifier.urihttps://www.mdpi.com/1424-8220/21/9/2944
dc.description.abstractSmart factories are an integral element of the manufacturing infrastructure in the context of the fourth industrial revolution. Nevertheless, there is frequently a deficiency of adequate training facilities for future engineering experts in the academic environment. For this reason, this paper describes the development and implementation of two different layer architectures for the metal processing environment. The first architecture is based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments. Additionally, one proprietary and two open-source graphical user interfaces (GUIs) were developed. Those interfaces can be adapted front-end as well as back-end, ensuring a holistic comprehension of their capabilities and limits. As a result, a six-layer architecture, from digitization to an interactive project management tool, was designed and implemented in the practical workflow at the academic institution. To take the complexity of thermo-mechanical processing in the metal processing field into account, an alternative layer, connected with the thermo-mechanical treatment simulator Gleeble 3800, was designed. This framework is capable of transferring sensor data with high frequency, enabling data collection for the numerical simulation of complex material behavior under high temperature processing. Finally, the possibility of connecting both systems by using open-source software packages is demonstrated.
dc.format-
dc.language.isoEN
dc.publisherMDPI AG
dc.relation.uri['https://www.elsevier.com/journals/surgery-open-digestive-advance/2667-0089/guide-for-authors', 'https://www.sciencedirect.com/journal/surgery-open-digestive-advance/about/aims-and-scope', 'https://www.sciencedirect.com/journal/surgery-open-digestive-advance', 'https://www.elsevier.com/authors/open-access/choice#waivers']
dc.rights['CC BY', 'CC BY-NC-ND', 'CC BY-NC']
dc.subject['abdominal surgery', 'digestive system', 'digestive surgery', 'abdominal cancer', 'cancer surgery', 'bariatric surgery', 'Surgery', 'RD1-811', 'Diseases of the digestive system. Gastroenterology', 'RC799-869']
dc.subject.lccChemical technology
dc.titleImplementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
dc.typeArticle
dc.description.keywordsengineering education
dc.description.keywordssmart factory
dc.description.keywordsdigitalization
dc.description.keywordsindustry 4.0
dc.description.keywordsmetal processing
dc.description.keywordslayer architecture
dc.description.pages-
dc.description.doi10.3390/s21092944
dc.title.journalSensors
dc.identifier.e-issn1424-8220
dc.identifier.oaioai:doaj.org/journal:5850f25b25df412c8405f9ae15aed391
dc.journal.infoVolume 21, Issue 9


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