COMPARISON BETWEEN 3D PRINTED PARTS GENERATED BY TRADITIONAL, GENERATIVE AND TOPOLOGICALLY OPTIMIZED DESIGN (Atena Editora)

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributor.authorBISSOCHI, TIAGO ROCHA-
Autor(es): dc.contributor.authorIVANTES, LUCAS FRANCISCO BIANCHI PONTES-
Autor(es): dc.contributor.authorARAÚJO, MÁRCIA SILVA DE-
Autor(es): dc.contributor.authorESTORILIO, CARLA CRISTINA AMODIO-
Autor(es): dc.contributor.authorGARCIA, MARIA DAS GRAÇAS CONTIM-
Data de aceite: dc.date.accessioned2022-12-02T15:06:26Z-
Data de disponibilização: dc.date.available2022-12-02T15:06:26Z-
Data de envio: dc.date.issued2022-10-05-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/717984-
Resumo: dc.description.abstractThe advancement of computing power, artificial intelligence and machine learning make it possible to generate optimized geometries based on the efforts required in a project or with the objective of reducing mass. In this article, the differences in mechanical strength of a part generated by traditional 3D design, topological optimization and generative design using the Fusion 360 program were shown. The generated geometries were manufactured by 3D printing, resulting in five samples with different masses, generated with each method. These samples were compared with a traditional sample that served as a reference. The effectiveness of these methods was measured by the ratio of compressive load supported by body mass (MC). The generative design showed an improvement in the CM relation when compared to the topological optimization.pt_BR
Idioma: dc.language.isoenpt_BR
Palavras-chave: dc.subjectGenerative Designpt_BR
Título: dc.titleCOMPARISON BETWEEN 3D PRINTED PARTS GENERATED BY TRADITIONAL, GENERATIVE AND TOPOLOGICALLY OPTIMIZED DESIGN (Atena Editora)pt_BR
Tipo de arquivo: dc.typelivro digitalpt_BR
Aparece nas coleções:Livros digitais