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Influence of Filling Strategies on the Tensile Strength and Anisotropic Properties of Droplet-Based 3D-Printed Parts

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In order to produce functional parts using additive manufacturing, it is crucial to know the mechanical properties resulting from the used manufacturing process and material. Since these properties depend on countless parameters, they have to be determined for each individual process. In this paper, an additive manufacturing process is investigated, that is based on the extrusion of droplets of molten polymer. While it is similar to the FFF process, this system uses standard granulate instead of special filaments and deposits individual droplets rather than continuous beads. Because of this, the droplet-based process is expected to show less anisotropic behavior than FFF. To test this, tension tests have been conducted with 3D-printed parts with different raster orientations and injection molded reference parts of the same material. The failure modes were investigated with a scanning electron microscope and the density of different specimens was compared. Lastly, the influence of the filling degree on the tensile strength was investigated for the default raster orientation. The results showed, that the anisotropic behavior of droplet-based parts is significantly less pronounced compared to FFF parts and exhibits different preferences. While FFF parts show the highest strength when the filaments are aligned parallel to the tension, this raster orientation yielded the worst results for the droplet-based approach. The highest scores were achieved here for a standard delta angle pattern, which only leads to average values for FFF. The filling degree proved to strongly influence the tensile strength of the tested specimens.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages14-20
Number of pages7
ISBN (Electronic)9781728103761
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201815 Dec 2018

Publication series

Name2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018

Conference

Conference2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/12/1815/12/18

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