Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/87511 https://doi.org/10.1063/1.5112658 |
Resumo: | This study presents a systematic comparison on the performance of different metamodeling techniques in the analysis of variability in sheet metal forming processes. For this purpose, three steel grades (DC06, DP600 and HSLA340) are selected as reference materials and two sheet metal forming processes are considered: the U-Channel and the Square Cup forming processes. The sources of variability selected for this study are the Young’s modulus, the isotropic hardening law parameters, the anisotropy coefficients and the initial thickness of the sheet metal; the variability is described for all of them by a probabilistic normal distribution. The process outputs selected for analysis are the springback and maximum thinning, in case of the U-Channel forming process, and the maximum equivalent plastic strain and maximum thinning, in case of the Square Cup deep-drawing. Firstly, a number of random simulations is performed for each material and forming process. Then, metamodeling techniques based on 2nd degree polynomial RSM and three Kriging methods (Simple, Ordinary and Universal Kriging) are established, and their performance is evaluated. The results show that the performance of Kriging metamodels is generally better than RSM; also, the performance of RSM metamodels is strongly dependent on the number of design (training) points, which is not the case for Kriging metamodels. |
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Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming ProcessesThis study presents a systematic comparison on the performance of different metamodeling techniques in the analysis of variability in sheet metal forming processes. For this purpose, three steel grades (DC06, DP600 and HSLA340) are selected as reference materials and two sheet metal forming processes are considered: the U-Channel and the Square Cup forming processes. The sources of variability selected for this study are the Young’s modulus, the isotropic hardening law parameters, the anisotropy coefficients and the initial thickness of the sheet metal; the variability is described for all of them by a probabilistic normal distribution. The process outputs selected for analysis are the springback and maximum thinning, in case of the U-Channel forming process, and the maximum equivalent plastic strain and maximum thinning, in case of the Square Cup deep-drawing. Firstly, a number of random simulations is performed for each material and forming process. Then, metamodeling techniques based on 2nd degree polynomial RSM and three Kriging methods (Simple, Ordinary and Universal Kriging) are established, and their performance is evaluated. The results show that the performance of Kriging metamodels is generally better than RSM; also, the performance of RSM metamodels is strongly dependent on the number of design (training) points, which is not the case for Kriging metamodels.2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/87511http://hdl.handle.net/10316/87511https://doi.org/10.1063/1.5112658porPrates, PedroMarques, ArmandoOliveira, MartaFernandes, José Valdemarinfo: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:RCAAP2021-10-13T09:37:25Zoai:estudogeral.uc.pt:10316/87511Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:08:24.364347Repositório 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 |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
title |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
spellingShingle |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes Prates, Pedro |
title_short |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
title_full |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
title_fullStr |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
title_full_unstemmed |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
title_sort |
Comparing Metamodeling Techniques For Variability Analysis In Sheet Metal Forming Processes |
author |
Prates, Pedro |
author_facet |
Prates, Pedro Marques, Armando Oliveira, Marta Fernandes, José Valdemar |
author_role |
author |
author2 |
Marques, Armando Oliveira, Marta Fernandes, José Valdemar |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Prates, Pedro Marques, Armando Oliveira, Marta Fernandes, José Valdemar |
description |
This study presents a systematic comparison on the performance of different metamodeling techniques in the analysis of variability in sheet metal forming processes. For this purpose, three steel grades (DC06, DP600 and HSLA340) are selected as reference materials and two sheet metal forming processes are considered: the U-Channel and the Square Cup forming processes. The sources of variability selected for this study are the Young’s modulus, the isotropic hardening law parameters, the anisotropy coefficients and the initial thickness of the sheet metal; the variability is described for all of them by a probabilistic normal distribution. The process outputs selected for analysis are the springback and maximum thinning, in case of the U-Channel forming process, and the maximum equivalent plastic strain and maximum thinning, in case of the Square Cup deep-drawing. Firstly, a number of random simulations is performed for each material and forming process. Then, metamodeling techniques based on 2nd degree polynomial RSM and three Kriging methods (Simple, Ordinary and Universal Kriging) are established, and their performance is evaluated. The results show that the performance of Kriging metamodels is generally better than RSM; also, the performance of RSM metamodels is strongly dependent on the number of design (training) points, which is not the case for Kriging metamodels. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
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/10316/87511 http://hdl.handle.net/10316/87511 https://doi.org/10.1063/1.5112658 |
url |
http://hdl.handle.net/10316/87511 https://doi.org/10.1063/1.5112658 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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