Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/85631

TítuloInfluence of 3D microstructure pattern and infill density on the mechanical and thermal properties of PET-G filaments
Autor(es)Lopes, Lucas Matheus Caldas Vicente
Reis, Daniel Costa
Paula Junior, Adilson
Almeida, Manuela Guedes de
Palavras-chaveAdditive manufacturing
Thermomechanical testing
Fusion deposition modelling
PET-G filaments
Data11-Mai-2023
EditoraMultidisciplinary Digital Publishing Institute
RevistaPolymers
CitaçãoLopes, L.; Reis, D.; Paula Junior, A.; Almeida, M. Influence of 3D Microstructure Pattern and Infill Density on the Mechanical and Thermal Properties of PET-G Filaments. Polymers 2023, 15, 2268. https://doi.org/10.3390/polym15102268
Resumo(s)This study aims to evaluate the thermal and mechanical performances of PET-G thermoplastics with different 3D microstructure patterns and infill densities. The production costs were also estimated to identify the most cost-effective solution. A total of 12 infill patterns were analysed, including Gyroid, Grid, Hilbert curve, Line, Rectilinear, Stars, Triangles, 3D Honeycomb, Honeycomb, Concentric, Cubic, and Octagram spiral with a fixed infill density of 25%. Different infill densities ranging from 5% to 20% were also tested to determine the best geometries. Thermal tests were conducted in a hotbox test chamber and mechanical properties were evaluated using a series of three-point bending tests. The study used printing parameters to meet the construction sector’s specific needs, including a larger nozzle diameter and printing speed. The internal microstructures led to variations of up to 70% in thermal performance and up to 300% in mechanical performance. For each geometry, the mechanical and thermal performance was highly correlated with the infill pattern, where higher infill improved thermal and mechanical performances. The economic performance showed that, in most cases, except for the Honeycomb and 3D Honeycomb, there were no significant cost differences between infill geometries. These findings can provide valuable insights for selecting the optimal 3D printing parameters in the construction industry.
TipoArtigo
URIhttps://hdl.handle.net/1822/85631
DOI10.3390/polym15102268
e-ISSN2073-4360
Versão da editorahttps://www.mdpi.com/2073-4360/15/10/2268
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:ISISE - Artigos em Revistas Internacionais

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