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Reinforcing 3D printed acrylonitrile butadiene styrene by impregnation of methacrylate resin and cellulose nanocrystal mixture: Structural effects and homogeneous properties
To improve the mechanical properties and reduce the heterogeneous properties of 3D printed materials, a novel structure inspired by wood microstructure was designed. A methacrylate (MA)/cellulose nanocrystal (CNC) mixture was impregnated into the structure (infill density controllable 3D printed str...
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Published in: | Materials & design 2018-01, Vol.138, p.62-70 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | To improve the mechanical properties and reduce the heterogeneous properties of 3D printed materials, a novel structure inspired by wood microstructure was designed. A methacrylate (MA)/cellulose nanocrystal (CNC) mixture was impregnated into the structure (infill density controllable 3D printed structure) and cured at elevated temperature. The specific tensile strength and modulus increased considerably after impregnation, especially at 80% infill density. The morphology of printed composites indicated that good interfacial adhesion was obtained by impregnation of MA/CNC mixture and curing at elevated temperature. Thermal stability of the printed composites was also improved, as shown by increases in the temperature at maximum rate of weight loss and the glass transition temperature. Nanoindentation measurement showed that the printed sample was more homogeneous, as evidenced by the comparable elastic modulus and hardness at different positions of the sample.
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•A novel structure inspired by wood microstructure was designed by impregnating the resin into 3D pre-printed structure.•The mechanical properties and thermal stability of the printed material were improved considerably.•The sample was more homogeneous as evidenced by the comparable properties at different positions of the sample. |
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ISSN: | 0264-1275 1873-4197 |
DOI: | 10.1016/j.matdes.2017.10.050 |