Cited by 80Polymer composites and self-healingAdvanced Materials and MechanicsAdditive Manufacturing and 3D Printing Technologies

3D printing of tunable shape memory polymer blends

Chen, Siyuan, Zhang, Qinglong, Feng, Jiachun·2017·Journal of Materials Chemistry C

Abstract

3D-printable tunable SMPs consisting of three kinds of cheap commercial polymers are prepared using a simple melt blending strategy.

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Crossref · 10.1039/c7tc02534c

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36 of 36 references verified0 citation errors · 0 not checkable

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  • Chen et al. proposed a blending strategy to prepare tunable SMP blends featuring quadruple SME with the feasibility of 3D printing.

    “Chen et al. [196] proposed a blending strategy to prepare tunable SMP blends featuring quadruple SME with the feasibility of 3D printing.”

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Authors
Chen, S., Zhang, Q., & Feng, J.
Affiliations
Fudan University (CN)
Corresponding author
Feng, Jiachun
Venue
Journal of Materials Chemistry C
Published
2017
Volume
5
Issue
33
Pages
8361-8365
ISSN
  • 2050-7526 (ISSN-L)
  • 2050-7534
OpenAlex
W2737977026
Cited by
80
References
36
Citations by year
2026: 2 · 2025: 6 · 2024: 5 · 2023: 9 · 2022: 13 · 2021: 9 · 2020: 16 · 2019: 16 · 2018: 4
FWCI
5.63
Type
journal article
Language
en
Open access
closed
Locations
Journal of Materials Chemistry C (publishedVersion)
Funders
National Natural Science Foundation of China (21574029, 51373042)
Topics
  • Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
  • Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
Keywords
shape memory polymers, 3D printing, polymer blends, melt blending, commercial polymers, additive manufacturing

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