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Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Smart 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 descr...

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Autores principales: Ralph, Benjamin James, Sorger, Marcel, Schödinger, Benjamin, Schmölzer, Hans-Jörg, Hartl, Karin, Stockinger, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122840/
https://www.ncbi.nlm.nih.gov/pubmed/33922268
http://dx.doi.org/10.3390/s21092944
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author Ralph, Benjamin James
Sorger, Marcel
Schödinger, Benjamin
Schmölzer, Hans-Jörg
Hartl, Karin
Stockinger, Martin
author_facet Ralph, Benjamin James
Sorger, Marcel
Schödinger, Benjamin
Schmölzer, Hans-Jörg
Hartl, Karin
Stockinger, Martin
author_sort Ralph, Benjamin James
collection PubMed
description Smart 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.
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spelling pubmed-81228402021-05-16 Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education Ralph, Benjamin James Sorger, Marcel Schödinger, Benjamin Schmölzer, Hans-Jörg Hartl, Karin Stockinger, Martin Sensors (Basel) Case Report Smart 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. MDPI 2021-04-22 /pmc/articles/PMC8122840/ /pubmed/33922268 http://dx.doi.org/10.3390/s21092944 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Case Report
Ralph, Benjamin James
Sorger, Marcel
Schödinger, Benjamin
Schmölzer, Hans-Jörg
Hartl, Karin
Stockinger, Martin
Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
title Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
title_full Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
title_fullStr Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
title_full_unstemmed Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
title_short Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education
title_sort implementation of a six-layer smart factory architecture with special focus on transdisciplinary engineering education
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122840/
https://www.ncbi.nlm.nih.gov/pubmed/33922268
http://dx.doi.org/10.3390/s21092944
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