Development and deployment of a digital twin for monitoring of an adaptive clamping mechanism, used for high performance composite machining

In this work, we present a cloud-based digital twin for monitoring of clamping technology machining composite parts. Supporting large and/or freeform parts is crucial to avoid bending during drilling. Bending the part will lead delamination and frayed edges drilled holes. The new active allows realise stabilised fixture, localised in area where drilling occurs, bending. This significantly improves quality device equipped with an IoT edge device, bidirectional communication cloud. analyses holes based on computer vision, monitors drill wear detects incorrect operation device. All data stored By means knowledge graph, which acquires integrates information into ontology provides central access, it be easier scientist query gain insights full deployment occurs Microsoft Azure cloud platform. transforms standard machine Industry 4.0 compliant machine.