Publication
Optimization of injection blow molding: part I – defining part thickness profile
| Summary: | This paper suggests a methodology based on a neuroevolutionary approach to optimize the use of material in blow molding applications. This approach aims at determining the optimal thickness distribution for a certain blow molded product as a function of its geometry. Multiobjective search is performed by neuroevolution to reflect the conflicting nature of the design problem and to capture some possible trade-offs. During the search, each design alternative is evaluated through a finite element analysis. The coordinates of mesh elements are the inputs to an artificial neural network that is evolved and whose output determines the thickness for the corresponding location. The proposed approach is applied to the design of an industrial bottle. The results reveal validity and usefulness of the proposed technique, which were able to distribute the material along mostcritical regions to adequate mechanical properties. The approach is general and can be applied to products with different geometries. |
|---|---|
| Main Authors: | Denysiuk, Roman |
| Other Authors: | Gonçalves, Nuno; Pinto, Renê Souza; Silva, Hugo Miguel Andrade Lopes Figueiredo; Duarte, F. M.; Nunes, J. P.; Gaspar-Cunha, A. |
| Subject: | Blow Molding Process optimization Evolutionary algorithms Thickness optimization Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| Year: | 2019 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Universidade do Minho |
| Language: | English |
| Origin: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439728584818688 |
|---|---|
| author | Denysiuk, Roman |
| author2 | Gonçalves, Nuno Pinto, Renê Souza Silva, Hugo Miguel Andrade Lopes Figueiredo Duarte, F. M. Nunes, J. P. Gaspar-Cunha, A. |
| author2_role | author author author author author author |
| author_facet | Denysiuk, Roman Gonçalves, Nuno Pinto, Renê Souza Silva, Hugo Miguel Andrade Lopes Figueiredo Duarte, F. M. Nunes, J. P. Gaspar-Cunha, A. |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Denysiuk, Roman\"},{\"Person.name\":\"Gonçalves, Nuno\"},{\"Person.name\":\"Pinto, Renê Souza\"},{\"Person.name\":\"Silva, Hugo Miguel Andrade Lopes Figueiredo\"},{\"Person.name\":\"Duarte, F. M.\"},{\"Person.name\":\"Nunes, J. P.\"},{\"Person.name\":\"Gaspar-Cunha, A.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Denysiuk, Roman Gonçalves, Nuno Pinto, Renê Souza Silva, Hugo Miguel Andrade Lopes Figueiredo Duarte, F. M. Nunes, J. P. Gaspar-Cunha, A. |
| datacite.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-03-22T10:02:50Z |
| datacite.date.embargoed.fl_str_mv | 2021-03-22T10:02:50Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Blow Molding Process optimization Evolutionary algorithms Thickness optimization Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| datacite.titles.title.fl_str_mv | Optimization of injection blow molding: part I – defining part thickness profile |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Denysiuk, Roman Gonçalves, Nuno Pinto, Renê Souza Silva, Hugo Miguel Andrade Lopes Figueiredo Duarte, F. M. Nunes, J. P. Gaspar-Cunha, A. |
| dc.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-03-22T10:02:50Z |
| dc.date.embargoed.fl_str_mv | 2021-03-22T10:02:50Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/70885 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | De Gruyter |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Blow Molding Process optimization Evolutionary algorithms Thickness optimization Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| dc.title.fl_str_mv | Optimization of injection blow molding: part I – defining part thickness profile |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | This paper suggests a methodology based on a neuroevolutionary approach to optimize the use of material in blow molding applications. This approach aims at determining the optimal thickness distribution for a certain blow molded product as a function of its geometry. Multiobjective search is performed by neuroevolution to reflect the conflicting nature of the design problem and to capture some possible trade-offs. During the search, each design alternative is evaluated through a finite element analysis. The coordinates of mesh elements are the inputs to an artificial neural network that is evolved and whose output determines the thickness for the corresponding location. The proposed approach is applied to the design of an industrial bottle. The results reveal validity and usefulness of the proposed technique, which were able to distribute the material along mostcritical regions to adequate mechanical properties. The approach is general and can be applied to products with different geometries. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/4664be99-5f81-462c-8e6f-e617e6a4db98/download |
| id | rum_bb5e2785cd3bf434fb0902c339ce892c |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/70885 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/70885 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Denysiuk, Roman Gonçalves, Nuno Pinto, Renê Souza Silva, Hugo Miguel Andrade Lopes Figueiredo Duarte, F. M. Nunes, J. P. Gaspar-Cunha, A. |
| publishDate | 2019 |
| publisher.none.fl_str_mv | De Gruyter |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engDe GruyterporThis paper suggests a methodology based on a neuroevolutionary approach to optimize the use of material in blow molding applications. This approach aims at determining the optimal thickness distribution for a certain blow molded product as a function of its geometry. Multiobjective search is performed by neuroevolution to reflect the conflicting nature of the design problem and to capture some possible trade-offs. During the search, each design alternative is evaluated through a finite element analysis. The coordinates of mesh elements are the inputs to an artificial neural network that is evolved and whose output determines the thickness for the corresponding location. The proposed approach is applied to the design of an industrial bottle. The results reveal validity and usefulness of the proposed technique, which were able to distribute the material along mostcritical regions to adequate mechanical properties. The approach is general and can be applied to products with different geometries.application/pdfporOptimization of injection blow molding: part I – defining part thickness profileDenysiuk, RomanGonçalves, NunoPinto, Renê SouzaSilva, Hugo Miguel Andrade Lopes FigueiredoDuarte, F. M.Nunes, J. P.Gaspar-Cunha, A.HostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONDenysiuk, R., Gonçalves, N., Pinto, R., Silva, H., Duarte, F., Nunes, J., & Gaspar-Cunha, A. (2019, June 19). Optimization of Injection Stretch Blow Molding: Part I – Defining Part Thickness Profile. International Polymer Processing. Walter de Gruyter GmbH. http://doi.org/10.3139/217.3746ISSNIsPartOf2195-8602DOIIsPartOf10.3139/217.37462021-03-22T10:02:50Z20192019-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/70885http://purl.org/coar/access_right/c_abf2open accessBlow MoldingProcess optimizationEvolutionary algorithmsThickness optimizationhttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Engenharia e Tecnologia::Engenharia dos Materiaishttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Engenharia e Tecnologia::Outras Engenharias e Tecnologiashttps://sdgs.un.org/goalsSustainable Development Goals (SDG)Indústria, inovação e infraestruturashttps://sdgs.un.org/goalsSustainable Development Goals (SDG)Produção e consumo sustentáveis2488656 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/4664be99-5f81-462c-8e6f-e617e6a4db98/download |
| spellingShingle | Optimization of injection blow molding: part I – defining part thickness profile Denysiuk, Roman Blow Molding Process optimization Evolutionary algorithms Thickness optimization Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| status | SINGLETON |
| subject.fl_str_mv | Blow Molding Process optimization Evolutionary algorithms Thickness optimization |
| subject.other.fl_str_mv | Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| title | Optimization of injection blow molding: part I – defining part thickness profile |
| title_full | Optimization of injection blow molding: part I – defining part thickness profile |
| title_fullStr | Optimization of injection blow molding: part I – defining part thickness profile |
| title_full_unstemmed | Optimization of injection blow molding: part I – defining part thickness profile |
| title_short | Optimization of injection blow molding: part I – defining part thickness profile |
| title_sort | Optimization of injection blow molding: part I – defining part thickness profile |
| topic | Blow Molding Process optimization Evolutionary algorithms Thickness optimization Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| topic_facet | Blow Molding Process optimization Evolutionary algorithms Thickness optimization Engenharia e Tecnologia::Engenharia dos Materiais Engenharia e Tecnologia::Outras Engenharias e Tecnologias Indústria, inovação e infraestruturas Produção e consumo sustentáveis |
| url | https://hdl.handle.net/1822/70885 |
| visible | 1 |