Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/143980 |
Resumo: | In the present study, a methodology is appliedfor system reliability based design optimization (RBDO) to thin copper films that are deposited on flat surfaces of polypropylene polymer. The input data of the design of such polymer-metal joint was determined by the necessary normal stress to detach the copper film from the substrate of polypropylene by different forces and interface areas, obtained from uniaxial tensile test. The RBDO methodology was implemented in order to find the smallest bonding area required to assure different reliability levels, minimizing the detaching probability and cost (lower amount of the metallic film). The reliability level is treated as input data and considered as a constraint in the optimization problem. The used optimization methodology is the Genetic Algorithm (GA). This choice is due to the fact that GA presents good behavior when dealing with functions that may exhibit nonlinear behavior. The results shows that the applied methodology is efficient and it is concluded that high reliability requirements might impose larger areas. In the case of 98% of the reliability cases in not detaching the thin film, the resulted bonded area is 3.18 greater than the initial value without safety requirements. |
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Corso, Leandro LuísGasparin, Alexandre LuisGomes, Herbert Martins2016-07-26T02:18:30Z20160718-3305http://hdl.handle.net/10183/143980000998259In the present study, a methodology is appliedfor system reliability based design optimization (RBDO) to thin copper films that are deposited on flat surfaces of polypropylene polymer. The input data of the design of such polymer-metal joint was determined by the necessary normal stress to detach the copper film from the substrate of polypropylene by different forces and interface areas, obtained from uniaxial tensile test. The RBDO methodology was implemented in order to find the smallest bonding area required to assure different reliability levels, minimizing the detaching probability and cost (lower amount of the metallic film). The reliability level is treated as input data and considered as a constraint in the optimization problem. The used optimization methodology is the Genetic Algorithm (GA). This choice is due to the fact that GA presents good behavior when dealing with functions that may exhibit nonlinear behavior. The results shows that the applied methodology is efficient and it is concluded that high reliability requirements might impose larger areas. In the case of 98% of the reliability cases in not detaching the thin film, the resulted bonded area is 3.18 greater than the initial value without safety requirements.En el presente estudio se aplica una metodología para la optimización de los sistemas basados en la confiabilidad (RBDO) a las películas delgadas de cobre que se depositan en una superficie plana de polímero de polipropileno. Se determinaron los datos de entrada, como el tamaño de la junta por la tensión normal necesaria para separar la película de cobre del sustrato de polipropileno por diferentes fuerzas y zonas de interfaz, que se obtiene a partir de un ensayo de tracción uniaxial. La metodología RBDO se implementó con el fin de encontrar la zona de unión más pequeño requerido para asegurar diferentes niveles de confiabilidad, reduciendo al mínimo la probabilidad de desprendimiento y el costo (menos cantidad de película metálica). El nivel de confiabilidad es tratado como datos de entrada y considerado como una restricción en el problema de optimización. La metodología de la optimización es el algoritmo genético (GA). La elección de esta metodología se debe al buen comportamiento en las funciones que pueden exhibir un comportamiento no lineal. Los resultados muestran que la metodología aplicada es eficiente y se concluye que los requisitos de alta confiabilidad pueden imponer zonas de colaje considerablemente más grandes. En el 98% de los casos de confiabilidad en la no separación de la película fina, resultó en una zona de unión que es 3,18 mayor que el valor inicial sin requisitos de seguridad.application/pdfengIngeniare: revista chilena de ingeniería [recurso eletrônico]. Arica, Chile. Vol. 24, no. 3 (July 2016), p. 510-519Filmes finosAlgoritmos genéticosMetallic thin filmsReliabilityOptimizationGenetic algorithmReliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropyleneOptimización basada en la confianza usando un algoritmo genético : aplicación para áreas de adherencia de capas delgadas de cobre/polipropilenoEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000998259.pdf000998259.pdfTexto completo (inglês)application/pdf750624http://www.lume.ufrgs.br/bitstream/10183/143980/1/000998259.pdf13a58e7ed7486d17a45c33660cd1a22eMD51TEXT000998259.pdf.txt000998259.pdf.txtExtracted Texttext/plain36058http://www.lume.ufrgs.br/bitstream/10183/143980/2/000998259.pdf.txtba138be5c8c22f596563a5a35f5b08feMD52THUMBNAIL000998259.pdf.jpg000998259.pdf.jpgGenerated Thumbnailimage/jpeg1717http://www.lume.ufrgs.br/bitstream/10183/143980/3/000998259.pdf.jpg60411acee360dab2f8a21808199037beMD5310183/1439802022-02-22 04:51:51.154672oai:www.lume.ufrgs.br:10183/143980Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-02-22T07:51:51Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
dc.title.alternative.es.fl_str_mv |
Optimización basada en la confianza usando un algoritmo genético : aplicación para áreas de adherencia de capas delgadas de cobre/polipropileno |
title |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
spellingShingle |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene Corso, Leandro Luís Filmes finos Algoritmos genéticos Metallic thin films Reliability Optimization Genetic algorithm |
title_short |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
title_full |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
title_fullStr |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
title_full_unstemmed |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
title_sort |
Reliability based design optimization using a genetic algorithm : application to bonded thin films areas of copper/polypropylene |
author |
Corso, Leandro Luís |
author_facet |
Corso, Leandro Luís Gasparin, Alexandre Luis Gomes, Herbert Martins |
author_role |
author |
author2 |
Gasparin, Alexandre Luis Gomes, Herbert Martins |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Corso, Leandro Luís Gasparin, Alexandre Luis Gomes, Herbert Martins |
dc.subject.por.fl_str_mv |
Filmes finos Algoritmos genéticos |
topic |
Filmes finos Algoritmos genéticos Metallic thin films Reliability Optimization Genetic algorithm |
dc.subject.eng.fl_str_mv |
Metallic thin films Reliability Optimization Genetic algorithm |
description |
In the present study, a methodology is appliedfor system reliability based design optimization (RBDO) to thin copper films that are deposited on flat surfaces of polypropylene polymer. The input data of the design of such polymer-metal joint was determined by the necessary normal stress to detach the copper film from the substrate of polypropylene by different forces and interface areas, obtained from uniaxial tensile test. The RBDO methodology was implemented in order to find the smallest bonding area required to assure different reliability levels, minimizing the detaching probability and cost (lower amount of the metallic film). The reliability level is treated as input data and considered as a constraint in the optimization problem. The used optimization methodology is the Genetic Algorithm (GA). This choice is due to the fact that GA presents good behavior when dealing with functions that may exhibit nonlinear behavior. The results shows that the applied methodology is efficient and it is concluded that high reliability requirements might impose larger areas. In the case of 98% of the reliability cases in not detaching the thin film, the resulted bonded area is 3.18 greater than the initial value without safety requirements. |
publishDate |
2016 |
dc.date.accessioned.fl_str_mv |
2016-07-26T02:18:30Z |
dc.date.issued.fl_str_mv |
2016 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/143980 |
dc.identifier.issn.pt_BR.fl_str_mv |
0718-3305 |
dc.identifier.nrb.pt_BR.fl_str_mv |
000998259 |
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0718-3305 000998259 |
url |
http://hdl.handle.net/10183/143980 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Ingeniare: revista chilena de ingeniería [recurso eletrônico]. Arica, Chile. Vol. 24, no. 3 (July 2016), p. 510-519 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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