Abstract

GONZALEZ-SOSA, Jesus Vicente  and  AVILA-SOLER, Enrique. Modeling of Additive Manufacturing with Numerical Methods: case study. RIDE. Rev. Iberoam. Investig. Desarro. Educ [online]. 2023, vol.14, n.27, e559.  Epub Apr 12, 2024. ISSN 2007-7467.  https://doi.org/10.23913/ride.v14i27.1671.

In this work, the Lagrangian integration numerical method is used to model polynomial functions obtained in the additive manufacturing process that satisfy the manufacturing time in 3D printing for specimens used in mechanical impact tests in plastic materials. One of the essential scharacteristics of the printing equipment is to work with a file whose geometry is in three dimensions and what is sought is to standardize the time involved in making the specimen by means of mathematical functions that allow optimizing the printing process, controlling various parameters in the 3D equipment; such as the amount of filling, the arrangement, quality and layer thickness in the deposition of the molten material. This case study demonstrates an alternative to mathematically model technological innovation processes and obtain the optimal processing time that will depend on the parameters of the 3D printing equipment.

Keywords : innovation; additive manufacturing; modeling; 3D printing; numerical methods.

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