A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites
Descripción del Articulo
This paper was written in the context of the project: Desarrollo de un software para predecir el desempe no structural de product terminado en el proceso de fabricacion por manufactura aditiva de materiales compuestos founded by Cienciactiva, CONCYTEC, under the contract number No 112-2018-FONDECYT-...
| Autores: | , , , , |
|---|---|
| Formato: | revisión |
| Fecha de Publicación: | 2021 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2915 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/2915 https://doi.org/10.1080/15376494.2021.1886379 |
| Nivel de acceso: | acceso abierto |
| Materia: | polymer matrix composites (PMC) Industry 4 0 Materials Science and Engineering paradigm (MSE paradigm) artificial intelligence (AI) https://purl.org/pe-repo/ocde/ford#2.02.04 |
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CONC_9610b5d88ce21404a3a2d2642586fb18 |
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oai:repositorio.concytec.gob.pe:20.500.12390/2915 |
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CONC |
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CONCYTEC-Institucional |
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4689 |
| dc.title.none.fl_str_mv |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| title |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| spellingShingle |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites Gomez, C. polymer matrix composites (PMC) Industry 4 0 Materials Science and Engineering paradigm (MSE paradigm) artificial intelligence (AI) https://purl.org/pe-repo/ocde/ford#2.02.04 |
| title_short |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| title_full |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| title_fullStr |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| title_full_unstemmed |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| title_sort |
A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites |
| author |
Gomez, C. |
| author_facet |
Gomez, C. Guardia, A. Mantari, J. L. Coronado, A. M. Reddy, J. N. |
| author_role |
author |
| author2 |
Guardia, A. Mantari, J. L. Coronado, A. M. Reddy, J. N. |
| author2_role |
author author author author |
| dc.contributor.author.fl_str_mv |
Gomez, C. Guardia, A. Mantari, J. L. Coronado, A. M. Reddy, J. N. |
| dc.subject.none.fl_str_mv |
polymer matrix composites (PMC) |
| topic |
polymer matrix composites (PMC) Industry 4 0 Materials Science and Engineering paradigm (MSE paradigm) artificial intelligence (AI) https://purl.org/pe-repo/ocde/ford#2.02.04 |
| dc.subject.es_PE.fl_str_mv |
Industry 4 0 Materials Science and Engineering paradigm (MSE paradigm) artificial intelligence (AI) |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.04 |
| description |
This paper was written in the context of the project: Desarrollo de un software para predecir el desempe no structural de product terminado en el proceso de fabricacion por manufactura aditiva de materiales compuestos founded by Cienciactiva, CONCYTEC, under the contract number No 112-2018-FONDECYT-BM-IADT-MU. The authors of this manuscript appreciate the financial support from the Peruvian Government. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/review |
| format |
review |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2915 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1080/15376494.2021.1886379 |
| url |
https://hdl.handle.net/20.500.12390/2915 https://doi.org/10.1080/15376494.2021.1886379 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Taylor & Francis INC |
| publisher.none.fl_str_mv |
Taylor & Francis INC |
| dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
| instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
| instacron_str |
CONCYTEC |
| institution |
CONCYTEC |
| reponame_str |
CONCYTEC-Institucional |
| collection |
CONCYTEC-Institucional |
| repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
| repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
| _version_ |
1844882991874048000 |
| spelling |
Publicationrp08099600rp08097600rp07525600rp08100600rp08098600Gomez, C.Guardia, A.Mantari, J. L.Coronado, A. M.Reddy, J. N.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/2915https://doi.org/10.1080/15376494.2021.1886379This paper was written in the context of the project: Desarrollo de un software para predecir el desempe no structural de product terminado en el proceso de fabricacion por manufactura aditiva de materiales compuestos founded by Cienciactiva, CONCYTEC, under the contract number No 112-2018-FONDECYT-BM-IADT-MU. The authors of this manuscript appreciate the financial support from the Peruvian Government.Artificial Intelligence (AI) is a broad discipline that uses powerful algorithms to emulate important aspects of human intelligence. Provided by the Industry 4.0 revolution, AI is increasingly applied in different fields from research to production. One of these fields is Materials Science and Engineering (MSE) which studies the relationships between processing, structure, properties, and performance of materials. The application of AI to MSE has triggered the invention of new materials to satisfy the demanding requirements in myriad sectors through the years. In this context, the MSE paradigm emerged as a framework to define these relationships supported by the available technologies at the corresponding time. This is how Polymer Matrix Composites (PMC) were synthesized. During the last years, they have turned from a futuristic solution to a necessity due to the wide range of advantages they offer concerning other conventional materials. The present work presents a modified approach to the MSE paradigm with the application of AI algorithms. An overview of the research advances from 2003 to 2019 in each fundamental link of the proposed MSE paradigm for PMC is exhibited in an organized fashion. This article must serve engineers and scientists working at the intersection of mechanical engineering, materials science and computer science to identify trendy topics in these fields. It aims to represent a starting point for developing innovative methods and proposing new research topics in the framework of the MSE paradigm powered by AI for PMC.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengTaylor & Francis INCMECHANICS OF ADVANCED MATERIALS AND STRUCTURESinfo:eu-repo/semantics/openAccesspolymer matrix composites (PMC)Industry 4-10-1Materials Science and Engineering paradigm (MSE paradigm)-1artificial intelligence (AI)-1https://purl.org/pe-repo/ocde/ford#2.02.04-1A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Compositesinfo:eu-repo/semantics/reviewreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2915oai:repositorio.concytec.gob.pe:20.500.12390/29152024-05-30 16:12:06.236http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="7f1adc96-2d9e-4afd-9014-d2639c903ea9"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites</Title> <PublishedIn> <Publication> <Title>MECHANICS OF ADVANCED MATERIALS AND STRUCTURES</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <DOI>https://doi.org/10.1080/15376494.2021.1886379</DOI> <Authors> <Author> <DisplayName>Gomez, C.</DisplayName> <Person id="rp08099" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Guardia, A.</DisplayName> <Person id="rp08097" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Mantari, J. L.</DisplayName> <Person id="rp07525" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Coronado, A. M.</DisplayName> <Person id="rp08100" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Reddy, J. N.</DisplayName> <Person id="rp08098" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Taylor & Francis INC</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>polymer matrix composites (PMC)</Keyword> <Keyword>Industry 4</Keyword> <Keyword>0</Keyword> <Keyword>Materials Science and Engineering paradigm (MSE paradigm)</Keyword> <Keyword>artificial intelligence (AI)</Keyword> <Abstract>Artificial Intelligence (AI) is a broad discipline that uses powerful algorithms to emulate important aspects of human intelligence. Provided by the Industry 4.0 revolution, AI is increasingly applied in different fields from research to production. One of these fields is Materials Science and Engineering (MSE) which studies the relationships between processing, structure, properties, and performance of materials. The application of AI to MSE has triggered the invention of new materials to satisfy the demanding requirements in myriad sectors through the years. In this context, the MSE paradigm emerged as a framework to define these relationships supported by the available technologies at the corresponding time. This is how Polymer Matrix Composites (PMC) were synthesized. During the last years, they have turned from a futuristic solution to a necessity due to the wide range of advantages they offer concerning other conventional materials. The present work presents a modified approach to the MSE paradigm with the application of AI algorithms. An overview of the research advances from 2003 to 2019 in each fundamental link of the proposed MSE paradigm for PMC is exhibited in an organized fashion. This article must serve engineers and scientists working at the intersection of mechanical engineering, materials science and computer science to identify trendy topics in these fields. It aims to represent a starting point for developing innovative methods and proposing new research topics in the framework of the MSE paradigm powered by AI for PMC.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
| score |
13.968414 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
