Development and Mechanical Characterization of Short Curaua Fiber-Reinforced PLA Composites Made via Fused Deposition Modeling

abstract

The increase in the use of additive manufacturing (AM) has led to the need for filaments with specific and functional properties in face of requirements of structural parts production. The use of eco-friendly reinforcements (i.e., natural fibers) as an alternative to those more traditional synthetic counterparts is still scarce and requires further investigation. The main objective of this work was to develop short curaua fiber-reinforced polylactic acid (PLA) composites made via fused deposition modeling. Three different fiber lengths (3, 6, and 8 mm), and three concentrations in terms of weight percentage (2, 3.5, and 5 wt.%) were used to fabricate reinforced PLA filaments. Tensile and flexural tests in accordance with their respective American Society for Testing and Materials (ASTM) standards were performed. A thermal analysis was also carried out in order to investigate the thermal stability of the new materials. It was found that the main driving factor for the variation in mechanical properties was the fiber weight fraction. The increase in fiber length did not provide any significant benefit on the mechanical properties of the curaua fiber-reinforced PLA composite printed parts. The composites produced with PLA filaments reinforced by 3 mm 2% curaua fiber presented the overall best mechanical and thermal properties of all studied groups. The curaua fiber-reinforced PLA composites made via fused deposition modeling may be a promising innovation to improve the performance of these materials, which might enable them to serve for new applications.

keywords

THERMAL-PROPERTIES; ACID; CRYSTALLIZATION; PP

subject category

Polymer Science

authors

Cavalcanti, DKK; Neto, JSS; de Queiroz, HFM; Wu, YY; Neto, VFS; Banea, MD

our authors

acknowledgements

This work was partially supported by the Brazilian Research Agencies: National Council for Scientific and Technological Development (CNPq), grant number 311079/2020-2, the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brasil (CAPES), Finance Code 001 and PDSE 88881.623267/2021-01, and the Fundacao de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ), grant numbers E-26/211.072/2019 and E-26/202.728/2019. Furthermore, this project was partially supported by the projects UIDB/00481/2020 and UIDP/00481/2020 from the Fundacao para a Ciencia e Tecnologia, and CENTRO-01-0145-FEDER-022083 from the Centro Portugal Regional Operational Programme (Centro2020), under the PORTUGAL 2020 Partnership Agreement, through the European Reginal Development Fund. The author Y. Wu acknowledged Chinese Scholarship Council 2020.

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