Techno-economic assessment of robotic sorting of aluminium scrap

Due to shifting material use in several sectors, such as the automotive sector, the demand for wrought aluminium alloys is significantly increasing. Because of their low weight and desirable mechanical properties, wrought aluminium alloys find their use in many different applications. However, the p...

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Detalhes bibliográficos
Autores: Engelen, Bart, De Marelle, Dieter, Van den Eynde, Simon, Peeters, Jef R., Zaplana Agut, Isiah|||0000-0002-0862-3240, Kellens, Karel
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/378784
Acesso em linha:https://hdl.handle.net/2117/378784
https://dx.doi.org/10.1016/j.procir.2022.02.026
Access Level:acceso abierto
Palavra-chave:Aluminum alloys
Robotic sorting
Techno-economic analysis
Aluminium alloys
Computer vision
Alumini -- Aliatges
Alumini -- Reciclatge
Àrees temàtiques de la UPC::Enginyeria mecànica::Impacte ambiental
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oai_identifier_str oai:upcommons.upc.edu:2117/378784
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network_name_str España
repository_id_str
spelling Techno-economic assessment of robotic sorting of aluminium scrapEngelen, BartDe Marelle, DieterVan den Eynde, SimonPeeters, Jef R.Zaplana Agut, Isiah|||0000-0002-0862-3240Kellens, KarelAluminum alloysRobotic sortingTechno-economic analysisAluminium alloysComputer visionAlumini -- AliatgesAlumini -- ReciclatgeÀrees temàtiques de la UPC::Enginyeria mecànica::Impacte ambientalDue to shifting material use in several sectors, such as the automotive sector, the demand for wrought aluminium alloys is significantly increasing. Because of their low weight and desirable mechanical properties, wrought aluminium alloys find their use in many different applications. However, the primary production of aluminium is extremely energy intensive. Therefore, using secondary aluminium yields major environmental benefits. Hence, in order to avoid degradation of the aluminium quality during recycling, sorting aluminium alloys, based on their alloying elements, is necessary. Today, various non-ferrous metal fractions are either still sorted manually in unhealthy working conditions, resulting in either high labour costs, or the export of this waste stream to countries with a lower labour cost. With the emergence of novel spectrometric techniques, such as laser-induced breakdown spectrometry (LIBS) and deep learning computer vision techniques, the technical feasibility of classifying different aluminium alloys has been demonstrated. Therefore, the techno-economic viability of a robotic sorting process, that could be combined with such advanced classification systems, is presented. This study presents the development and evaluation of a robotic sorting system consisting of; a vision system, a conveyor, a SCARA robot and a pneumatic gripper. The vision system recognises the dimensions and positions of the objects on the conveyor and communicates with an innovative sequence planning algorithm. The use of experimental data enables to obtain realistic insights in the sorting efficiencies that can be obtained. The initial economic analysis illustrates the substantial potential of the proposed robotic sorting approach. To overcome saturation of the conveyor belt, two of the proposed systems are assumed to be capable of sorting 20.000 tons of aluminium annually each equipped with 6 robots creating a total added revenue up to 1,95 million euro per year.Peer ReviewedElsevier20222022-01-0120222022-12-19journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/378784https://dx.doi.org/10.1016/j.procir.2022.02.026reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3787842026-05-27T15:37:01Z
dc.title.none.fl_str_mv Techno-economic assessment of robotic sorting of aluminium scrap
title Techno-economic assessment of robotic sorting of aluminium scrap
spellingShingle Techno-economic assessment of robotic sorting of aluminium scrap
Engelen, Bart
Aluminum alloys
Robotic sorting
Techno-economic analysis
Aluminium alloys
Computer vision
Alumini -- Aliatges
Alumini -- Reciclatge
Àrees temàtiques de la UPC::Enginyeria mecànica::Impacte ambiental
title_short Techno-economic assessment of robotic sorting of aluminium scrap
title_full Techno-economic assessment of robotic sorting of aluminium scrap
title_fullStr Techno-economic assessment of robotic sorting of aluminium scrap
title_full_unstemmed Techno-economic assessment of robotic sorting of aluminium scrap
title_sort Techno-economic assessment of robotic sorting of aluminium scrap
dc.creator.none.fl_str_mv Engelen, Bart
De Marelle, Dieter
Van den Eynde, Simon
Peeters, Jef R.
Zaplana Agut, Isiah|||0000-0002-0862-3240
Kellens, Karel
author Engelen, Bart
author_facet Engelen, Bart
De Marelle, Dieter
Van den Eynde, Simon
Peeters, Jef R.
Zaplana Agut, Isiah|||0000-0002-0862-3240
Kellens, Karel
author_role author
author2 De Marelle, Dieter
Van den Eynde, Simon
Peeters, Jef R.
Zaplana Agut, Isiah|||0000-0002-0862-3240
Kellens, Karel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Aluminum alloys
Robotic sorting
Techno-economic analysis
Aluminium alloys
Computer vision
Alumini -- Aliatges
Alumini -- Reciclatge
Àrees temàtiques de la UPC::Enginyeria mecànica::Impacte ambiental
topic Aluminum alloys
Robotic sorting
Techno-economic analysis
Aluminium alloys
Computer vision
Alumini -- Aliatges
Alumini -- Reciclatge
Àrees temàtiques de la UPC::Enginyeria mecànica::Impacte ambiental
description Due to shifting material use in several sectors, such as the automotive sector, the demand for wrought aluminium alloys is significantly increasing. Because of their low weight and desirable mechanical properties, wrought aluminium alloys find their use in many different applications. However, the primary production of aluminium is extremely energy intensive. Therefore, using secondary aluminium yields major environmental benefits. Hence, in order to avoid degradation of the aluminium quality during recycling, sorting aluminium alloys, based on their alloying elements, is necessary. Today, various non-ferrous metal fractions are either still sorted manually in unhealthy working conditions, resulting in either high labour costs, or the export of this waste stream to countries with a lower labour cost. With the emergence of novel spectrometric techniques, such as laser-induced breakdown spectrometry (LIBS) and deep learning computer vision techniques, the technical feasibility of classifying different aluminium alloys has been demonstrated. Therefore, the techno-economic viability of a robotic sorting process, that could be combined with such advanced classification systems, is presented. This study presents the development and evaluation of a robotic sorting system consisting of; a vision system, a conveyor, a SCARA robot and a pneumatic gripper. The vision system recognises the dimensions and positions of the objects on the conveyor and communicates with an innovative sequence planning algorithm. The use of experimental data enables to obtain realistic insights in the sorting efficiencies that can be obtained. The initial economic analysis illustrates the substantial potential of the proposed robotic sorting approach. To overcome saturation of the conveyor belt, two of the proposed systems are assumed to be capable of sorting 20.000 tons of aluminium annually each equipped with 6 robots creating a total added revenue up to 1,95 million euro per year.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2022
2022-12-19
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/378784
https://dx.doi.org/10.1016/j.procir.2022.02.026
url https://hdl.handle.net/2117/378784
https://dx.doi.org/10.1016/j.procir.2022.02.026
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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