Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors
The high degree of individuality as well as complexity in metal-forming technology is still challenging regarding the development, integration, and operation of cognitive IoT technologies, such as sensors. In particular, the requirements for these systems in terms of robustness and sensitivity are o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/26/1/10 |
| _version_ | 1797611989533458432 |
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| author | Robin Kurth Mohaned Alaluss Robert Tehel Willy Reichert Steffen Ihlenfeldt |
| author_facet | Robin Kurth Mohaned Alaluss Robert Tehel Willy Reichert Steffen Ihlenfeldt |
| author_sort | Robin Kurth |
| collection | DOAJ |
| description | The high degree of individuality as well as complexity in metal-forming technology is still challenging regarding the development, integration, and operation of cognitive IoT technologies, such as sensors. In particular, the requirements for these systems in terms of robustness and sensitivity are often in conflict and prevent the widespread use of such systems. In this paper, a method for creating digital twin-based virtual sensors is introduced, which can resolve this target conflict. Furthermore, the method is linked to an approach for developing and identifying the digital twin representing the elasto-mechanical behavior of the machine under process condition to sensing technology. The resulting approach is demonstrated by creating virtual sensors to monitor the elasto-mechanical behavior of a servo-mechanical-forming press. |
| first_indexed | 2024-03-11T06:36:04Z |
| format | Article |
| id | doaj.art-953441af9e54441bbcdf7d0d2af02139 |
| institution | Directory Open Access Journal |
| issn | 2673-4591 |
| language | English |
| last_indexed | 2024-03-11T06:36:04Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj.art-953441af9e54441bbcdf7d0d2af021392023-11-17T10:54:08ZengMDPI AGEngineering Proceedings2673-45912022-11-012611010.3390/engproc2022026010Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual SensorsRobin Kurth0Mohaned Alaluss1Robert Tehel2Willy Reichert3Steffen Ihlenfeldt4Fraunhofer Institute for Machine Tools and Forming Technology IWU, Reichenhainer Straße 88, 09126 Chemnitz, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Reichenhainer Straße 88, 09126 Chemnitz, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Reichenhainer Straße 88, 09126 Chemnitz, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Reichenhainer Straße 88, 09126 Chemnitz, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Reichenhainer Straße 88, 09126 Chemnitz, GermanyThe high degree of individuality as well as complexity in metal-forming technology is still challenging regarding the development, integration, and operation of cognitive IoT technologies, such as sensors. In particular, the requirements for these systems in terms of robustness and sensitivity are often in conflict and prevent the widespread use of such systems. In this paper, a method for creating digital twin-based virtual sensors is introduced, which can resolve this target conflict. Furthermore, the method is linked to an approach for developing and identifying the digital twin representing the elasto-mechanical behavior of the machine under process condition to sensing technology. The resulting approach is demonstrated by creating virtual sensors to monitor the elasto-mechanical behavior of a servo-mechanical-forming press.https://www.mdpi.com/2673-4591/26/1/10digital manufacturing systemdigital twinformingproductionsensor |
| spellingShingle | Robin Kurth Mohaned Alaluss Robert Tehel Willy Reichert Steffen Ihlenfeldt Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors Engineering Proceedings digital manufacturing system digital twin forming production sensor |
| title | Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors |
| title_full | Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors |
| title_fullStr | Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors |
| title_full_unstemmed | Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors |
| title_short | Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors |
| title_sort | towards cognitive forming machines utilization of digital twin based virtual sensors |
| topic | digital manufacturing system digital twin forming production sensor |
| url | https://www.mdpi.com/2673-4591/26/1/10 |
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