An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/106637 https://doi.org/10.1016/j.promfg.2020.10.005 |
Resumo: | Increasingly, industry is looking to better integrate their industrial processes and related data. Interoperability is key since the organizations need to share data between them, between departments and the different stages of a given technological process. The problem is that many times there are no standard data formats for data exchange between heterogeneous engineering tools. In this paper we present an integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing (MAM). Data such as the MAM robot targets and process parameters are shared and edited along the different sub-stages of the process, from Computer-Aided Design (CAD), to path planning, to multi-physics simulation, to robot simulation and production. The AutomationML neutral data format allows the implementation of optimization loops connecting different sub-stages, for example the multi-physics simulation and the path planning. A practical use case using the Direct Energy Deposition (DED) process is presented and discussed. Results demonstrated the effectiveness of the proposed AutomationML-based solution. |
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An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturingInteroperabilityAutomationMLAdditive ManufacturingDataIncreasingly, industry is looking to better integrate their industrial processes and related data. Interoperability is key since the organizations need to share data between them, between departments and the different stages of a given technological process. The problem is that many times there are no standard data formats for data exchange between heterogeneous engineering tools. In this paper we present an integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing (MAM). Data such as the MAM robot targets and process parameters are shared and edited along the different sub-stages of the process, from Computer-Aided Design (CAD), to path planning, to multi-physics simulation, to robot simulation and production. The AutomationML neutral data format allows the implementation of optimization loops connecting different sub-stages, for example the multi-physics simulation and the path planning. A practical use case using the Direct Energy Deposition (DED) process is presented and discussed. Results demonstrated the effectiveness of the proposed AutomationML-based solution.Elsevier2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106637http://hdl.handle.net/10316/106637https://doi.org/10.1016/j.promfg.2020.10.005eng23519789Babcinschi, MihailFreire, BernardoFerreira, LúciaSeñaris, BaltasarVidal, FelixVaz, PauloNeto, Pedroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-13T11:08:59Zoai:estudogeral.uc.pt:10316/106637Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:03.528322Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
title |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
spellingShingle |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing Babcinschi, Mihail Interoperability AutomationML Additive Manufacturing Data |
title_short |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
title_full |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
title_fullStr |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
title_full_unstemmed |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
title_sort |
An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing |
author |
Babcinschi, Mihail |
author_facet |
Babcinschi, Mihail Freire, Bernardo Ferreira, Lúcia Señaris, Baltasar Vidal, Felix Vaz, Paulo Neto, Pedro |
author_role |
author |
author2 |
Freire, Bernardo Ferreira, Lúcia Señaris, Baltasar Vidal, Felix Vaz, Paulo Neto, Pedro |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Babcinschi, Mihail Freire, Bernardo Ferreira, Lúcia Señaris, Baltasar Vidal, Felix Vaz, Paulo Neto, Pedro |
dc.subject.por.fl_str_mv |
Interoperability AutomationML Additive Manufacturing Data |
topic |
Interoperability AutomationML Additive Manufacturing Data |
description |
Increasingly, industry is looking to better integrate their industrial processes and related data. Interoperability is key since the organizations need to share data between them, between departments and the different stages of a given technological process. The problem is that many times there are no standard data formats for data exchange between heterogeneous engineering tools. In this paper we present an integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing (MAM). Data such as the MAM robot targets and process parameters are shared and edited along the different sub-stages of the process, from Computer-Aided Design (CAD), to path planning, to multi-physics simulation, to robot simulation and production. The AutomationML neutral data format allows the implementation of optimization loops connecting different sub-stages, for example the multi-physics simulation and the path planning. A practical use case using the Direct Energy Deposition (DED) process is presented and discussed. Results demonstrated the effectiveness of the proposed AutomationML-based solution. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/106637 http://hdl.handle.net/10316/106637 https://doi.org/10.1016/j.promfg.2020.10.005 |
url |
http://hdl.handle.net/10316/106637 https://doi.org/10.1016/j.promfg.2020.10.005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
23519789 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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