Abstract
Applications of Advanced manufacturing methods in the nuclear industry to ensure quality, security, process codes and standardisation are increasingly needed to ease adoption of new technologies. Many assemblies and decommissioning tasks are still heavily dependent on experienced human engineers and practitioners. Human error in production plays a large part in the development of standardisation to avoid defects and increase productivity. Risks to humans, previously considered as “part of the job” are no longer acceptable. Within European manufacturing, a greater problem exists; a dwindling skilled workforce capable of delivering high precision manufactured products. To address these issues this paper describes the motivation, design and implementation phases of the SERFOW (Smart Enabling Robotics driving Free Form Welding) project, which is an automated fusion-welding cell, linking future nuclear industry manufacturing requirements by mimicking human skill and technical experience combined with academic knowledge and UK based innovation. Development of key machine vision systems combined with novel robotic grasping technology and experienced welding engineers has made possible the construction of a potentially disruptive robotic manufacturing platform.
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Acknowledgments
The authors would like to thank Ben Crutchley from Industrial 3D Robotics, Fotios Papadopoulos from Shadow Robotics company, Ben Kitchener, Kieren Howarth and Samuel Edwards from the Enabling Sciences for Intelligent Manufacturing Laboratory at the University of Sheffield for their help and their invaluable support.
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French, R., Marin-Reyes, H., Kapellmann-Zafra, G., Abrego-Hernandez, S. (2020). Development of an Intelligent Robotic Additive Manufacturing Cell for the Nuclear Industry. In: Karwowski, W., Trzcielinski, S., Mrugalska, B. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2019. Advances in Intelligent Systems and Computing, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-20494-5_1
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