The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process
A digital twin is a digital representation of a physical entity that is updated in real-time by transfer of data between physical and digital (virtual) entities. In this manuscript we aim to introduce a digital twin framework for robotic drilling. Initially, a generic reference model is proposed to...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2022-09-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/19/7232 |
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author | Ahmad Farhadi Stephen K. H. Lee Eoin P. Hinchy Noel P. O’Dowd Conor T. McCarthy |
author_facet | Ahmad Farhadi Stephen K. H. Lee Eoin P. Hinchy Noel P. O’Dowd Conor T. McCarthy |
author_sort | Ahmad Farhadi |
collection | DOAJ |
description | A digital twin is a digital representation of a physical entity that is updated in real-time by transfer of data between physical and digital (virtual) entities. In this manuscript we aim to introduce a digital twin framework for robotic drilling. Initially, a generic reference model is proposed to highlight elements of the digital twin relevant to robotic drilling. Then, a precise reference digital twin architecture model is developed, based on available standards and technologies. Finally, real-time visualisation of drilling process parameters is demonstrated as an initial step towards implementing a digital twin of a robotic drilling process. |
first_indexed | 2024-03-09T21:10:59Z |
format | Article |
id | doaj.art-4bcbf069af0140bb89f41c03ea1861da |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T21:10:59Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-4bcbf069af0140bb89f41c03ea1861da2023-11-23T21:45:43ZengMDPI AGSensors1424-82202022-09-012219723210.3390/s22197232The Development of a Digital Twin Framework for an Industrial Robotic Drilling ProcessAhmad Farhadi0Stephen K. H. Lee1Eoin P. Hinchy2Noel P. O’Dowd3Conor T. McCarthy4Confirm Centre, University of Limerick, V94 C928 Limerick, IrelandConfirm Centre, University of Limerick, V94 C928 Limerick, IrelandConfirm Centre, University of Limerick, V94 C928 Limerick, IrelandConfirm Centre, University of Limerick, V94 C928 Limerick, IrelandConfirm Centre, University of Limerick, V94 C928 Limerick, IrelandA digital twin is a digital representation of a physical entity that is updated in real-time by transfer of data between physical and digital (virtual) entities. In this manuscript we aim to introduce a digital twin framework for robotic drilling. Initially, a generic reference model is proposed to highlight elements of the digital twin relevant to robotic drilling. Then, a precise reference digital twin architecture model is developed, based on available standards and technologies. Finally, real-time visualisation of drilling process parameters is demonstrated as an initial step towards implementing a digital twin of a robotic drilling process.https://www.mdpi.com/1424-8220/22/19/7232smart manufacturingrobotic machiningdigital twin |
spellingShingle | Ahmad Farhadi Stephen K. H. Lee Eoin P. Hinchy Noel P. O’Dowd Conor T. McCarthy The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process Sensors smart manufacturing robotic machining digital twin |
title | The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process |
title_full | The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process |
title_fullStr | The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process |
title_full_unstemmed | The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process |
title_short | The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process |
title_sort | development of a digital twin framework for an industrial robotic drilling process |
topic | smart manufacturing robotic machining digital twin |
url | https://www.mdpi.com/1424-8220/22/19/7232 |
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