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Optimisation process for robotic assembly of electronic components

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

The International Journal of Advanced Manufacturing Technology

Swansea University Authors: Cinzia Giannetti Orcid Logo, Christian Griffiths

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DOI (Published version): 10.1007/s00170-018-2645-y

Abstract

Adoption of robots in the manufacturing environment is a way to improve productivity, and the assembly of electronic components has benefited from the adoption of highly dedicated automation equipment. Traditionally, articulated 6-axis robots have not been used in electronic surface mount assembly....

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Published in: The International Journal of Advanced Manufacturing Technology
ISSN: 0268-3768 1433-3015
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa43763
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last_indexed 2023-01-11T14:20:30Z
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spelling 2022-09-27T17:22:47.4211942 v2 43763 2018-09-11 Optimisation process for robotic assembly of electronic components a8d947a38cb58a8d2dfe6f50cb7eb1c6 0000-0003-0339-5872 Cinzia Giannetti Cinzia Giannetti true false 84c202c256a2950fbc52314df6ec4914 Christian Griffiths Christian Griffiths true false 2018-09-11 MECH Adoption of robots in the manufacturing environment is a way to improve productivity, and the assembly of electronic components has benefited from the adoption of highly dedicated automation equipment. Traditionally, articulated 6-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, excellent repeatability and increasingly lower investment costs. This research investigated the application of an articulated robot with six degrees of freedom to assemble a multi-component printed circuit board (PCB) for an electronic product. A heuristic methodology using a genetic algorithm was used to plan the optimal sequence and identify the best location of the parts to the assembly positions on the PCB. Using the optimised paths, a condition monitoring method for cycle time evaluation was conducted using a KUKA KR16 assembly cell together with four different robot path motions. The genetic algorithm approach together with different assembly position iterations identified an optimisation method for improved production throughput using a non-traditional but highly flexible assembly method. The application of optimised articulated robots for PCB assembly can bridge the gap between manual assembly and the high-throughput automation equipment. Journal Article The International Journal of Advanced Manufacturing Technology 0268-3768 1433-3015 Sequencing optimisation, Electronics assembly, KUKA robotics, Flexible manufacture, Genetic algorithm 31 12 2018 2018-12-31 10.1007/s00170-018-2645-y COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2022-09-27T17:22:47.4211942 2018-09-11T14:13:22.2333151 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering K. T. Andrzejewski 1 M. P. Cooper 2 C. A. Griffiths 3 C. Giannetti 4 Cinzia Giannetti 0000-0003-0339-5872 5 Christian Griffiths 6 0043763-12092018101216.pdf andrzejewski2018.pdf 2018-09-12T10:12:16.9470000 Output 3873017 application/pdf Version of Record true 2018-09-12T00:00:00.0000000 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/
title Optimisation process for robotic assembly of electronic components
spellingShingle Optimisation process for robotic assembly of electronic components
Cinzia Giannetti
Christian Griffiths
title_short Optimisation process for robotic assembly of electronic components
title_full Optimisation process for robotic assembly of electronic components
title_fullStr Optimisation process for robotic assembly of electronic components
title_full_unstemmed Optimisation process for robotic assembly of electronic components
title_sort Optimisation process for robotic assembly of electronic components
author_id_str_mv a8d947a38cb58a8d2dfe6f50cb7eb1c6
84c202c256a2950fbc52314df6ec4914
author_id_fullname_str_mv a8d947a38cb58a8d2dfe6f50cb7eb1c6_***_Cinzia Giannetti
84c202c256a2950fbc52314df6ec4914_***_Christian Griffiths
author Cinzia Giannetti
Christian Griffiths
author2 K. T. Andrzejewski
M. P. Cooper
C. A. Griffiths
C. Giannetti
Cinzia Giannetti
Christian Griffiths
format Journal article
container_title The International Journal of Advanced Manufacturing Technology
publishDate 2018
institution Swansea University
issn 0268-3768
1433-3015
doi_str_mv 10.1007/s00170-018-2645-y
college_str Faculty of Science and Engineering
hierarchytype
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
active_str 0
description Adoption of robots in the manufacturing environment is a way to improve productivity, and the assembly of electronic components has benefited from the adoption of highly dedicated automation equipment. Traditionally, articulated 6-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, excellent repeatability and increasingly lower investment costs. This research investigated the application of an articulated robot with six degrees of freedom to assemble a multi-component printed circuit board (PCB) for an electronic product. A heuristic methodology using a genetic algorithm was used to plan the optimal sequence and identify the best location of the parts to the assembly positions on the PCB. Using the optimised paths, a condition monitoring method for cycle time evaluation was conducted using a KUKA KR16 assembly cell together with four different robot path motions. The genetic algorithm approach together with different assembly position iterations identified an optimisation method for improved production throughput using a non-traditional but highly flexible assembly method. The application of optimised articulated robots for PCB assembly can bridge the gap between manual assembly and the high-throughput automation equipment.
published_date 2018-12-31T03:55:06Z
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score 11.013641

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