Augmented Reality Implementation for Fault Diagnosis on Robotic Welding Cell

Abstract

AbstractIndustry 4.0 driven by digitalization and smart manufacturing involves the digital transformation of industries from automated to intelligent ones. Industrial robots and augmented reality which overlays digital information in the real world play a key role in achieving this. In this context, a robotic welding cell (RWC) is considered, which consists of two robots for material handling and welding process and also consists of various safety systems, namely emergency buttons, safety interlocks, and light curtains. The end-users take quick action using safety systems to rectify errors involved in the process and they may not be able to identify the faults occurring in RWC safety systems which require fault diagnosis as the solution. The main objective is to identify the critical systems and faults of safety systems such as the breakdown of interlock and diagnose using AR implementation by monitoring real-time IoT data and training the user to correct the faults. The 3D model of RWC is designed through Creo Parametric and then the animation sequences of the 3D model are created using Creo Illustrate to train the user to identify safety systems errors. Thingworx is used to create an IoT-powered augmented reality and connect real-time data as indicated in tower light, and finally, the AR experience is created and published through Vuforia Studio, which can be experienced by a mobile app called Vuforia view, which overlays digital visualization. This method allows enhanced user experience, reduces downtime of the system, lowers production losses, and improves real-time capabilities and system monitoring.KeywordsAugmented realityFault diagnosisRobotic welding cellInternet of ThingsSafety systems