Abstract Transport sector is working on the development of innovative lightweight structural solutions in order to improve fuel consumption replacing single-material components by layered composite-metal multi-material, which are manufactured predominantly… Click to show full abstract
Abstract Transport sector is working on the development of innovative lightweight structural solutions in order to improve fuel consumption replacing single-material components by layered composite-metal multi-material, which are manufactured predominantly in manual or only partly automated systems. In order to overcome these issues, it was developed an end-to-end engineering approach supporting a Hybrid Digital-Twin, covering all the manufacturing chain, making use of digital technologies to enable data flow from design, simulation, CAD/CAM, process monitoring and control to quality assurance, enabling a real-time adaptive control of the manufacturing systems involved, aimed at ‘Cognitive Automation’. Based on the inputs from the Self-Adaptive System (SAS), the CAD/CAM system, embedded in FreeCAD software, will update the high-level multi-stage operation policy to correct the existing deviations and will extract robot planning of each manufacturing stage. This global operation policy will modify the parameters of a real machine integrating an OPC-UA interoperability across devices and processes.
               
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