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Abstract

The purpose of this study is to determine impact of several multi-axis 3D printing strategies on buildability, surface quality, accuracy, and strength of large scale single-walled object (printed in a so called vase mode). To achieve this goal, test objects were printed using four different printing strategies by an industrial robotic arm and a pellet-fed screw extruder. The strategies tested in this study are regular 3-axis deposition with planar layers, 5-axis deposition with planar layers, 3-axis deposition with nonplanar layers, and 5-axis deposition with nonplanar layers. Custom scripts for nonplanar slicing and for tilt control during multiaxis printing were developed to achieve these prints and are explained in this study. The results were evaluated using 3D scanning and mechanical testing, and surface accuracy, surface roughness, and layer adhesion strength were compared. The most important findings are (1) 5-axis motion alone does not improve the results of the printing; (2) while nonplanar printing can improve surface quality, its usability is geometry dependent; and (3) multi-axis nonplanar printing, even with partial tilt (30°) can expand printability with enhanced quality to at least 75° overhang angle. The future potential of these methods and the requirements to achieve them are discussed.

Details

Title
Comparison of the effects of multiaxis printing strategies on large-scale 3D printed surface quality, accuracy, and strength
Author
Krčma Martin 1   VIAFID ORCID Logo  ; Paloušek, David 1   VIAFID ORCID Logo 

 Brno University of Technology, Institute of Machine and Industrial Design, Faculty of Mechanical Engineering, Brno, Czechia (GRID:grid.4994.0) (ISNI:0000 0001 0118 0988) 
Pages
7109-7120
Publication year
2022
Publication date
Apr 2022
Publisher
Springer Nature B.V.
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2645318237
Copyright
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022.