Measurement assisted assembly for high accuracy aerospace manufacturing

Drouot, Adrien, Zhao, Ran, Irving, Lucas, Sanderson, David and Ratchev, Svetan (2018) Measurement assisted assembly for high accuracy aerospace manufacturing. In: 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018), 11-13 June 2018, Bergamo, Italy.

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Abstract

Measurement Assisted Assembly is a key concept for the modernisation of aerospace assembly processes, i.e. improving their efficiency while reducing the manufacturing costs. This concept suggests a paradigm shift in the assembly of high-complexity products as it encompasses the development and the use of robotics solutions smartly integrated with innovative measurement technologies. Expected outcomes are, among others, a better positioning accuracy of the components and a significant reduction of the rectification and rework requirements that are usually common with traditional assembly processes, especially but not limited to aerospace manufacturing. To achieve these objectives, a high precision metrology system that automatically inspects and corrects the pose of the robotic manipulators during the assembly operations is of great importance. In this paper, a high-accuracy real-life application of the concept of Measurement Assisted Assembly is presented as a part of the Future Automated Aircraft Assembly Demonstrator developed by the University of Nottingham. Experimentations have shown that, using the production environment described hereafter, a positioning accuracy better than +- 0.1 mm can be achieved for large airframe components.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/937182
Keywords: Intelligent Manufacturing Systems, Flexible Manufacturing Systems, Agile Manufacturing, Industrial Robots, Assembly Robots, Positioning Systems, Accuracy
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Depositing User: Eprints, Support
Date Deposited: 17 Apr 2018 09:58
Last Modified: 04 May 2020 19:40
URI: https://eprints.nottingham.ac.uk/id/eprint/51203

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