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Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys
Benjamin Pereira,
Christian Griffiths,
Benjamin Birch,
Andrew Rees
The International Journal of Advanced Manufacturing Technology, Volume: 119, Issue: 3-4, Pages: 2429 - 2444
Swansea University Authors: Christian Griffiths, Andrew Rees
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DOI (Published version): 10.1007/s00170-021-08483-4
Abstract
This paper aims to identify the capability of a highly fexible industrial robot modifed with a high-speed machine spindle for drilling of aluminum 6061-T6. With a focus on drilling feed rate, spindle speed, and pecking cycle, the hole surface roughness and exit burr heights were investigated using t...
| Published in: | The International Journal of Advanced Manufacturing Technology |
|---|---|
| ISSN: | 0268-3768 1433-3015 |
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Springer Science and Business Media LLC
2022
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa59023 |
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2022-04-04T13:54:01.2426985 v2 59023 2021-12-17 Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys 84c202c256a2950fbc52314df6ec4914 Christian Griffiths Christian Griffiths true false e43e88c74976e714e1d669a898f8470d Andrew Rees Andrew Rees true false 2021-12-17 GENG This paper aims to identify the capability of a highly fexible industrial robot modifed with a high-speed machine spindle for drilling of aluminum 6061-T6. With a focus on drilling feed rate, spindle speed, and pecking cycle, the hole surface roughness and exit burr heights were investigated using the Taguchi design methodology. A state of the art condition monitoring system was used to identify the vibrations experienced during drilling operation and to establish which robot pose had increased stifness, and thus the optimum workspace for drilling. When benchmarked against a CNC machine the results show that the CNC was capable of producing the best surface fnish and the lowest burr heights. However, the robot system matched and outperformed the CNC in several experiments and there is much scope for further optimization of the process. By identifying the optimum pose for drilling together with the idealized settings, the proposed drilling system is shown to be far more fexible than a CNC milling machine and when considering the optimized drilling of aerospace aluminum this robotic solution has the potential to drastically improve productivity Journal Article The International Journal of Advanced Manufacturing Technology 119 3-4 2429 2444 Springer Science and Business Media LLC 0268-3768 1433-3015 Automation; Robotics; Drilling; Machine spindle; Aerospace alloys 1 3 2022 2022-03-01 10.1007/s00170-021-08483-4 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University SU Library paid the OA fee (TA Institutional Deal) Support of the Future Manufacturing Research Institute, College of Engineering, Swansea University and Advanced Sustainable Manufacturing Technologies (ASTUTE 2022) project, which is partly funded from the EU’s European Regional Development Fund through the Welsh European Funding Office 2022-04-04T13:54:01.2426985 2021-12-17T15:47:28.4214084 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Benjamin Pereira 1 Christian Griffiths 2 Benjamin Birch 3 Andrew Rees 4 59023__22080__b9b2218fb35947e892365ffd1b12e755.pdf 59023.pdf 2022-01-07T16:48:18.9673554 Output 1528603 application/pdf Version of Record true © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys |
| spellingShingle |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys Christian Griffiths Andrew Rees |
| title_short |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys |
| title_full |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys |
| title_fullStr |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys |
| title_full_unstemmed |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys |
| title_sort |
Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys |
| author_id_str_mv |
84c202c256a2950fbc52314df6ec4914 e43e88c74976e714e1d669a898f8470d |
| author_id_fullname_str_mv |
84c202c256a2950fbc52314df6ec4914_***_Christian Griffiths e43e88c74976e714e1d669a898f8470d_***_Andrew Rees |
| author |
Christian Griffiths Andrew Rees |
| author2 |
Benjamin Pereira Christian Griffiths Benjamin Birch Andrew Rees |
| format |
Journal article |
| container_title |
The International Journal of Advanced Manufacturing Technology |
| container_volume |
119 |
| container_issue |
3-4 |
| container_start_page |
2429 |
| publishDate |
2022 |
| institution |
Swansea University |
| issn |
0268-3768 1433-3015 |
| doi_str_mv |
10.1007/s00170-021-08483-4 |
| publisher |
Springer Science and Business Media LLC |
| college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering |
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| description |
This paper aims to identify the capability of a highly fexible industrial robot modifed with a high-speed machine spindle for drilling of aluminum 6061-T6. With a focus on drilling feed rate, spindle speed, and pecking cycle, the hole surface roughness and exit burr heights were investigated using the Taguchi design methodology. A state of the art condition monitoring system was used to identify the vibrations experienced during drilling operation and to establish which robot pose had increased stifness, and thus the optimum workspace for drilling. When benchmarked against a CNC machine the results show that the CNC was capable of producing the best surface fnish and the lowest burr heights. However, the robot system matched and outperformed the CNC in several experiments and there is much scope for further optimization of the process. By identifying the optimum pose for drilling together with the idealized settings, the proposed drilling system is shown to be far more fexible than a CNC milling machine and when considering the optimized drilling of aerospace aluminum this robotic solution has the potential to drastically improve productivity |
| published_date |
2022-03-01T04:16:00Z |
| _version_ |
1763754073633325056 |
| score |
11.035634 |