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Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components

M. P. Cooper, Christian Griffiths, K. T. Andrzejewski, Cinzia Giannetti Orcid Logo

AIMS Electronics and Electrical Engineering, Volume: 3, Issue: 3, Pages: 274 - 289

Swansea University Authors: Christian Griffiths, Cinzia Giannetti Orcid Logo

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DOI (Published version): 10.3934/electreng.2019.3.274

Abstract

Traditionally, six axis robots have not been used in electronic surface mount assembly. However, the need for more flexible production systems that can be used for low to medium production builds, means that these robots can be used due to their high degrees of flexibility. This research investigate...

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Published in: AIMS Electronics and Electrical Engineering
ISSN: 2578-1588
Published: AIMS Press American Institute of Mathematical Sciences (AIMS) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51716
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first_indexed 2019-09-06T15:26:52Z
last_indexed 2020-10-17T03:04:48Z
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spelling 2020-10-16T14:59:51.8433070 v2 51716 2019-09-06 Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components 84c202c256a2950fbc52314df6ec4914 Christian Griffiths Christian Griffiths true false a8d947a38cb58a8d2dfe6f50cb7eb1c6 0000-0003-0339-5872 Cinzia Giannetti Cinzia Giannetti true false 2019-09-06 GENG Traditionally, six axis robots have not been used in electronic surface mount assembly. However, the need for more flexible production systems that can be used for low to medium production builds, means that these robots can be used due to their high degrees of flexibility. This research investigated the application of an articulated robot to assemble a multi component PCB for an electronic product. To increase the potential of using this method of automation, a genetic algorithm was used to improve cycle time and condition monitoring was performed to assess the vibrations within the robot structure, during operation. By also studying the motion types the robot movements can be optimized in order to minimize the cycle time and maximize the production throughput with reduced vibrations to improve the accuracy of the assembly process. The study utilised a robotics assembly cell and a robot programmed with different velocities. Vibrations were present throughout out the assembly cycle and by analysing when these large vibrations occur and for which types of motion, an optimal selection could be made. The point-to-point motion type running at 50% speed had a faster assembly time and significantly lower accelerations and oscillations than the other motion types. The spline-linear motion type running at around 30% speed was best for the component insertion due to its linear nature and improved repetition accuracy. Journal Article AIMS Electronics and Electrical Engineering 3 3 274 289 American Institute of Mathematical Sciences (AIMS) AIMS Press 2578-1588 genetic algorithm; assembly optimization; electronics assembly; KUKA robotics; condition monitoring 20 8 2019 2019-08-20 10.3934/electreng.2019.3.274 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University 2020-10-16T14:59:51.8433070 2019-09-06T13:25:58.8050372 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering M. P. Cooper 1 Christian Griffiths 2 K. T. Andrzejewski 3 Cinzia Giannetti 0000-0003-0339-5872 4 51716__15187__01df14b0ab5042c68b98d9b82110cd44.pdf cooper2019.pdf 2019-09-06T13:27:40.1770000 Output 3249816 application/pdf Version of Record true 2019-09-06T00:00:00.0000000 Released under the terms of a Creative Commons Attribution License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0
title Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
spellingShingle Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
Christian Griffiths
Cinzia Giannetti
title_short Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
title_full Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
title_fullStr Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
title_full_unstemmed Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
title_sort Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components
author_id_str_mv 84c202c256a2950fbc52314df6ec4914
a8d947a38cb58a8d2dfe6f50cb7eb1c6
author_id_fullname_str_mv 84c202c256a2950fbc52314df6ec4914_***_Christian Griffiths
a8d947a38cb58a8d2dfe6f50cb7eb1c6_***_Cinzia Giannetti
author Christian Griffiths
Cinzia Giannetti
author2 M. P. Cooper
Christian Griffiths
K. T. Andrzejewski
Cinzia Giannetti
format Journal article
container_title AIMS Electronics and Electrical Engineering
container_volume 3
container_issue 3
container_start_page 274
publishDate 2019
institution Swansea University
issn 2578-1588
doi_str_mv 10.3934/electreng.2019.3.274
publisher American Institute of Mathematical Sciences (AIMS)
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str 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
document_store_str 1
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description Traditionally, six axis robots have not been used in electronic surface mount assembly. However, the need for more flexible production systems that can be used for low to medium production builds, means that these robots can be used due to their high degrees of flexibility. This research investigated the application of an articulated robot to assemble a multi component PCB for an electronic product. To increase the potential of using this method of automation, a genetic algorithm was used to improve cycle time and condition monitoring was performed to assess the vibrations within the robot structure, during operation. By also studying the motion types the robot movements can be optimized in order to minimize the cycle time and maximize the production throughput with reduced vibrations to improve the accuracy of the assembly process. The study utilised a robotics assembly cell and a robot programmed with different velocities. Vibrations were present throughout out the assembly cycle and by analysing when these large vibrations occur and for which types of motion, an optimal selection could be made. The point-to-point motion type running at 50% speed had a faster assembly time and significantly lower accelerations and oscillations than the other motion types. The spline-linear motion type running at around 30% speed was best for the component insertion due to its linear nature and improved repetition accuracy.
published_date 2019-08-20T04:03:43Z
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score 11.037319

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