French, R. and Marin-Reyes, H. orcid.org/0000-0002-2919-5388 (2016) High Value Intelligent Aerospace Turbofan Jet Engine Blade Re-manufacturing System. In: Schlick, C. and Trzcieliński, S., (eds.) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future. AHFE 2016 International Conference on Human Aspects of Advanced Manufacturing, July 27-31, 2016, Walt Disney World®, Florida, USA. Advances in Intelligent Systems and Computing , 490 . Springer International Publishing , pp. 241-252.
Abstract
Development of any advanced, intelligent robotic welding system requires correct interrogation of welding parameters and output. Advanced programming of robots, data interpretation from associated sensory and feedback systems are required to mirror human input. Using process analysis to determine stimuli, replacement of human sensory receptors with electronic sensors, vision systems and high speed data acquisition and control systems allows for the intelligent fine tuning of multiple welding parameters at any one time. This paper demonstrates the design process, highlighting interaction between robotics and experienced welding engineers, towards construction of an autonomous aerospace turbofan jet engine blade re-manufacturing system. This is a joint collaborative research and development project carried out by VBC Instrument Engineering Ltd (UK) and The University of Sheffield (UK) who are funded by the UK governments’ innovation agency, Innovate-UK and the Aerospace Technology Institute (UK).
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2016 Springer International Publishing Switzerland. This is an author produced version of a paper subsequently published in Advances in Intelligent Systems and Computing. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield) |
Funding Information: | Funder Grant number INNOVATE UK (TSB) UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Aug 2016 15:42 |
Last Modified: | 18 Jul 2017 06:05 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-41697-7_22 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Advances in Intelligent Systems and Computing |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-41697-7_22 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103615 |