Automatic welding-robot programming based on product-process-resource models
This paper describes a novel end-to-end approach for automatic welding-robot programming based on a product-process-resource (PPR) model, for one-of-a-kind manufacturing systems. Traditionally, the information needed to program a welding robot is processed and transferred along the manufacturing org...
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| Published in: | International journal of advanced manufacturing technology Vol. 132; no. 3-4; pp. 1931 - 1950 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Springer London
01.05.2024
Springer Nature B.V |
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| ISSN: | 0268-3768, 1433-3015 |
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| Abstract | This paper describes a novel end-to-end approach for automatic welding-robot programming based on a product-process-resource (PPR) model, for one-of-a-kind manufacturing systems. Traditionally, the information needed to program a welding robot is processed and transferred along the manufacturing organisation’s value chain by using several stand-alone digital systems which require extensive human input and high skill to operate. A PPR model is proposed through this research as a platform for storing and processing the necessary information along the value chain seamlessly. Unlike existing approaches which make use of complex algorithms to automatically identify the weldment seams, the approach suggested in this research makes use of information already digitalised by design engineers under the form of ISO 2553:2019 compliant weldment annotations. Hence, the PPR model contains the weldment annotations; it enables the automatic programming of welding robots and reduces human input down to a few minutes only. The applicability in manufacturing of the theoretical concept is demonstrated through technical implementations tested in the laboratory and on the value chain of an engineering-to-order (ETO) industrial partner involved in the metal fabrication industry. The experiments were conducted by creating several products using the proposed artefact. Experiments show that automatic programming of welding robots can be achieved using PPR models. The conducted experiments showed a reduction of about 80% in human input measured in terms of time, when using the proposed solution. The reduction of the human input can free up skilled labour resource which ETO SMEs can reallocate to other tasks. |
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| AbstractList | This paper describes a novel end-to-end approach for automatic welding-robot programming based on a product-process-resource (PPR) model, for one-of-a-kind manufacturing systems. Traditionally, the information needed to program a welding robot is processed and transferred along the manufacturing organisation’s value chain by using several stand-alone digital systems which require extensive human input and high skill to operate. A PPR model is proposed through this research as a platform for storing and processing the necessary information along the value chain seamlessly. Unlike existing approaches which make use of complex algorithms to automatically identify the weldment seams, the approach suggested in this research makes use of information already digitalised by design engineers under the form of ISO 2553:2019 compliant weldment annotations. Hence, the PPR model contains the weldment annotations; it enables the automatic programming of welding robots and reduces human input down to a few minutes only. The applicability in manufacturing of the theoretical concept is demonstrated through technical implementations tested in the laboratory and on the value chain of an engineering-to-order (ETO) industrial partner involved in the metal fabrication industry. The experiments were conducted by creating several products using the proposed artefact. Experiments show that automatic programming of welding robots can be achieved using PPR models. The conducted experiments showed a reduction of about 80% in human input measured in terms of time, when using the proposed solution. The reduction of the human input can free up skilled labour resource which ETO SMEs can reallocate to other tasks. |
| Author | Wæhrens, Brian Vejrum Madsen, Ole Sarivan, Ioan-Matei |
| Author_xml | – sequence: 1 givenname: Ioan-Matei orcidid: 0000-0002-1469-9639 surname: Sarivan fullname: Sarivan, Ioan-Matei email: ioanms@mp.aau.dk organization: Department of Materials and Production, Aalborg University – sequence: 2 givenname: Ole surname: Madsen fullname: Madsen, Ole organization: Department of Materials and Production, Aalborg University – sequence: 3 givenname: Brian Vejrum surname: Wæhrens fullname: Wæhrens, Brian Vejrum organization: Department of Materials and Production, Aalborg University |
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| Cites_doi | 10.1016/j.procir.2021.03.107 10.1007/s00170-023-10996-z 10.1109/ICMIMT52186.2021.9476209 10.1016/j.rcim.2011.08.004 10.1016/j.jmsy.2017.03.010 10.1016/j.jmsy.2013.04.012 10.1109/ETFA.2013.6648114 10.1016/j.cad.2016.01.003 10.3722/cadaps.2008.178-193 10.1109/RAEE.2019.8886989 10.1007/978-3-030-64719-3_24 10.1109/ETFA46521.2020.9212063 10.1016/j.jmsy.2022.09.012 10.1109/ETFA45728.2021.9613253 10.1016/j.compind.2015.04.004 10.1016/j.jmsy.2020.05.006 10.1016/j.promfg.2017.07.228 10.1016/j.cirpj.2018.01.001 10.1016/j.procir.2017.01.045 10.1080/00207543.2022.2057256 10.1007/978-1-4302-0720-7 10.1016/j.procir.2013.05.005 10.1109/CoASE.2015.7294245 10.1364/JOSAA.5.001127 10.1145/3284557.3284714 10.1007/978-3-031-27933-1_9 10.1007/s00170-021-07186-0 10.1016/j.procir.2014.03.118 10.1109/ETFA45728.2021.9613674 10.1109/ETFA.2009.5347260 10.1108/JGOSS-11-2019-0063 10.1007/s00170-016-9684-z |
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| Keywords | Automatic robot programming Product model End-to-end integration Welding robots |
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