Abstract

Additive manufacturing, or 3D printing attracts growing attention as a promising method for creating functionally graded materials. Fused deposition modeling (FDM) is widely available, but due to its simple process, creating spatial gradation of diverse properties using FDM is challenging. Here, we present a 3D printed digital material filament that is structured towards 3D printing of functional gradients, utilizing only a readily available FDM printer and filaments. The DM filament consists of multiple base materials combined with specific concentrations and distributions, which are FDM printed. When the DM filament is supplied to the same printer, its constituent materials are homogeneously blended during extrusion, resulting in the desired properties in the final structure. This enables spatial programming of material properties in extreme variations, including mechanical strength, electrical conductivity, and color, which are otherwise impossible to achieve with traditional FDMs. Our approach can be readily adopted to any standard FDM printer, enabling low-cost production of functional gradients.

3D printing of functional gradients often requires specialized equipment and costly materials, constraining scalability. Here, using a conventional desktop FDM printer, authors present a 3D printing strategy using a filament that is itself 3D-printed to produce functional gradients.

Details

Title
3D printing with a 3D printed digital material filament for programming functional gradients
Author
Ahn, Sang-Joon 1 ; Lee, Howon 2   VIAFID ORCID Logo  ; Cho, Kyu-Jin 1   VIAFID ORCID Logo 

 Seoul National University, Soft Robotics Research Center, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Department of Mechanical Engineering, Institute of Advanced Machines and Design, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905) 
 Seoul National University, Department of Mechanical Engineering, Institute of Advanced Machines and Design, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905) 
Pages
3605
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3051760269
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.