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Influence of 3D printing process parameters on the mechanical properties and mass of PLA parts and predictive models

João Araújo Afonso (Departamento de Engenharia Mecânica, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal)
Jorge Lino Alves (Departamento de Engenharia Mecânica, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal)
Gabriela Caldas (Instituto de Ciência e Inovaçâo em Engenharia Mecânica e Engenharia Industrial (INEGI), Porto, Portugal)
Barbara Perry Gouveia (Instituto de Engenharia Mecânica (IDMEC), Lisboa, Portugal and Departamento de Engenharia Mecânica, Universidade de Lisboa Instituto Superior Tecnico, Lisboa, Portugal)
Leonardo Santana (Departamento de Engenharia Mecânica, Universidade Federal de Santa Catarina, Florianópolis, Brazil)
Jorge Belinha (Departamento de Engenharia Mecânica, Instituto Superior de Engenharia do Porto (ISEP), Porto, Portugal)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 10 February 2021

Issue publication date: 2 April 2021

1099

Abstract

Purpose

This paper aims to evaluate the influence of the parameters of the Fused Filament Fabrication (FFF) process on the mechanical properties and on the mass of parts printed in Polylactic Acid (PLA). In addition, the authors developed predictive models for the analysed responses.

Design/methodology/approach

A full Factorial type of experimental planning method was used to define the conditions for manufacturing parts according to the variation of the construction parameters, extrusion temperature and print speed. Samples were printed for tensile, flexion and compression tests. Their mass was measured. Multiple regression methods, based on power equations, were used to build the forecasting models.

Findings

It was found that the extrusion temperature was the parameter of greatest influence in the variation of the analysed responses, mainly because it generates behaviour patterns and indirectly demonstrates thermal/rheological characteristics of the material used. Print speed affects responses, however, with variations dependent on part geometry and printer hardware/software. It was possible to establish prediction models with low error rates in relation to the experimental values.

Originality/value

The study demonstrates a good relation between the use of a structured experimental planning method as the basis for the development of predictive models based on mathematical equations, the same structure of which can be used to describe different responses.

Keywords

Acknowledgements

The authors truly acknowledge the funding provided by Ministério da Ciência, Tecnologia e Ensino Superior – Fundação para a Ciência e a Tecnologia (Portugal), by project funding MIT-EXPL/ISF/0084/2017 and “Laboratório Associado de Energia, Transportes e Aeronautica – LAETA” by project funding UIDB/50022/2020.

Citation

Afonso, J.A., Alves, J.L., Caldas, G., Gouveia, B.P., Santana, L. and Belinha, J. (2021), "Influence of 3D printing process parameters on the mechanical properties and mass of PLA parts and predictive models", Rapid Prototyping Journal, Vol. 27 No. 3, pp. 487-495. https://doi.org/10.1108/RPJ-03-2020-0043

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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