AI-Powered Augmented Reality Training for Metal Additive Manufacturing

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dc.creatorPalomino, Donald
dc.creatorBian, Shijie
dc.creatorSalcedo, Pedro
dc.creatorNavarro, Erick
dc.creatorGopalaiah, Bharath
dc.creatorOtis4, Richard
dc.creatorLi, Bingbing
dc.date.accessioned2023-01-26T22:00:35Z
dc.date.available2023-01-26T22:00:35Z
dc.date.issued2022
dc.description.abstractMetal additive manufacturing (AM) training can cost a company the considerable amount of time, cost, and resources. To resolve this challenge, the NSF funded HyperSkill platform was applied to create an innovative, immersive training program that integrates AI-powered object detection and text recognition into a comprehensive digital twin of the metal AM machine operation. This immersive digital twin will support the delivery of just-in-time guidance to trainees while also monitoring their actions and providing contextual and personalized feedback to accelerate training, foster retention, and maximize transfer to the actual job. The augmented reality (AR) training supports the import of 3D assets, no-code authoring of workflows, standard operating procedures (SOP), step-by-step instructions, and delivery across a wide variety of AR devices. For this study, the specific metal AM operation is based on the Renishaw AM400 in both its full and reduced build volume (RBV) configuration.en_US
dc.description.departmentMechanical Engineeringen_US
dc.identifier.urihttps://hdl.handle.net/2152/117326
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/44207
dc.language.isoengen_US
dc.relation.ispartof2022 International Solid Freeform Fabrication Symposiumen_US
dc.rights.restrictionOpenen_US
dc.subjectAugmented Reality Trainingen_US
dc.subjectMetal Additive Manufacturingen_US
dc.subjectText Recognitionen_US
dc.subjectObject Detectionen_US
dc.titleAI-Powered Augmented Reality Training for Metal Additive Manufacturingen_US
dc.typeConference paperen_US

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2022 International Solid Freeform Fabrication Symposium