Home /Research /The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process
OTHER

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

Ahmad Farhadi, Stephen Lee, Eoin P. Hinchy, Noel P. O’Dowd, C.T. McCarthy

Year
2022
Citations
59
Access
Open access

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.

Keywords

Process (computing)Representation (politics)VisualizationComputer scienceDrillingExternal Data RepresentationEngineeringEngineering drawingArtificial intelligenceMechanical engineering

Related papers

Browse all OTHER papers