Fabrication and characteristics of flexible thermoplastic polyurethane filament for fused deposition modeling three‐dimensional printing
In the era of artificial intelligence (AI), materials with soft and strong properties are becoming increasingly important. Various three‐dimensional (3D) fused deposition modeling (FDM) filaments have been developed as soft actuator materials. In the present study, a soft actuator‐grade thermoplasti...
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Published in | Polymer engineering and science Vol. 62; no. 9; pp. 2947 - 2957 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.09.2022
Society of Plastics Engineers, Inc Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | In the era of artificial intelligence (AI), materials with soft and strong properties are becoming increasingly important. Various three‐dimensional (3D) fused deposition modeling (FDM) filaments have been developed as soft actuator materials. In the present study, a soft actuator‐grade thermoplastic polyurethane (TPU) was developed and then processed into a filament for FDM 3D printers during a melt‐extrusion process using commercial (65, 75, 80, and 85 Shore A) pellets. Rheological, chemical, thermal, and mechanical properties of the manufactured TPU filaments were characterized. Auxetic re‐entrant TPU samples were then printed with the manufactured filament. Results showed that the 75 Shore A pellet was the most suitable for auxetic re‐entrant FDM 3D printing.
In the present study, a soft actuator‐grade thermoplastic polyurethane (TPU) was developed and then processed into a filament for fused deposition modeling (FDM) three‐dimensional (3D) printers during a melt‐extrusion process using commercial (65, 75, 80, and 85 Shore A) pellets. Chemical, thermal, and mechanical properties of the manufactured TPU filaments were characterized. Auxetic re‐entrant TPU samples were then printed with the manufactured filament. |
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Bibliography: | Funding information Basic Science Research Program of the National Research Foundation of Korea (NRF), Grant/Award Number: 2021R1A4A1022059 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0032-3888 1548-2634 |
DOI: | 10.1002/pen.26075 |