The objective of this research is to characterise the material poly lactic acid (PLA), printed by fused deposition modelling (FDM) technology, under three loading conditions—tension, compression and bending—in order to get data that will allow to simulate structural components. In the absence of specific standards for materials manufactured in FDM technology, characterisation is carried out based on ASTM International standards D638, D695 and D790, respectively. Samples manufactured with the same printing parameters have been built and tested; and the tensile, compressive and flexural properties have been determined. The influences of the cross-sectional shape and the specimen length on the strength and elastic modulus of compression are addressed. By analysing the mechanical properties obtained in this way, the conclusion is that they are different, are not coherent with each other, and do not reflect the bimodular nature (different behaviour of material in tension and compression) of this material. A finite element (FE) model is used to verify these differences, including geometric non-linearity, to realistically reproduce conditions during physical tests. The main conclusion is that the test methods currently used do not guarantee a coherent set of mechanical properties useful for numerical simulation, which highlights the need to define new characterisation methods better adapted to the behaviour of FDM-printed PLA.
La industria afronta el gran reto de una nueva revolución. No se trata solo de la digitalización de los procesos existentes, si no de un cambio profundo de modelo hacia una fabricación personalizada, adaptativa, descentralizada, flexible, eficiente y en masa. A la hibridación entre los mundos físico y virtual, que interactúan en tiempo real a través de sistemas ciberfísicos, se une una mayor integración y nuevos modelos de negocio. La innovación y la formación de nuevos profesionales con una visión transversal, alto nivel tecnológico y nuevas competencias. toman un valor central en el camino hacia este nuevo paradigma industrial.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.