The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process

Ahmad Farhadi, Stephen K.H. Lee, Eoin P. Hinchy, Noel P. O’Dowd, Conor T. McCarthy

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number7232
JournalSensors
Volume22
Issue number19
DOIs
Publication statusPublished - Oct 2022

Keywords

  • digital twin
  • robotic machining
  • smart manufacturing

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