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Bridging the Gap: Digital Twin Integration and Evaluation in Robotic Multi-Axis Additive Manufacturing

Tomáš Jochman, Václav Voltr, Václav Kubáček, Ondřej Švec, Pavel Burget, Václav Hlaváč

发表年份
2024
引用次数
3

摘要

This study aims to integrate and evaluate digital twin technology with robotic multi-axis additive manufacturing to bridge the gap between virtual planning and physical execution, enhancing the precision and efficiency of manufacturing processes. A laser tracker is employed to calibrate the machine workspace and tools and introduce a comprehensive system involving an industrial robot with a filament extruder head and a rotary-tilt positioner. The digital twin not only encapsulates the geometric and operational intricacies of the multi-axis additive manufacturing process but also automates code generation for robotic operations. The application of this methodology is demonstrated through the production of two complex parts, where their dimensional fidelity is assessed to evaluate the precision limits and potential of digital twin technology in multi-axis additive manufacturing. The findings reveal significant advancements in the alignment of virtual models and physical objects, confirming the potential of digital twins to minimize deviations common in traditional manufacturing setups.

关键词

Bridging (networking)Computer scienceComputer network

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