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Erschienen in: Cellulose 14/2020

11.07.2020 | Original Research

Fabrication of cellulose nanocrystal reinforced thermoplastic polyurethane/polycaprolactone blends for three-dimension printing self-healing nanocomposites

verfasst von: Hongjie Bi, Zechun Ren, Gaoyuan Ye, Hao Sun, Rui Guo, Xin Jia, Min Xu

Erschienen in: Cellulose | Ausgabe 14/2020

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Abstract

In this study, a polymer blend consisting of thermoplastic polyurethane and polycaprolactone, which was used as the self-healing matrix, was prepared via a solution casting method. Cellulose nanocrystals (CNCs) were then incorporated to enhance the interfacial compatibility of the multi-material and maintain its self-healing ability via the three-dimension printing method. The effects of the CNCs on the chemical structure, mechanical, and thermal properties of the polymer composites were investigated. The results show that the composites with CNCs exhibit excellent tensile and thermal properties, and a high interfacial compatibility. Specifically, the blend containing 1% of CNCs possesses excellent mechanical properties, as its tensile strength of 31 MPa and elongation at break of 1600% show. Further analyses on the reinforced mechanism of such mixture were carried out by using molecular dynamics simulations. The CNC-reinforced composites maintain their good self-healing properties and function for a minimum of three cycles. Their superior thermal stability, mechanical, and self-healing properties, as well as the low cost of the raw materials, and the simple manufacturing process make these blends ideal for surface protection coatings, sensors, and healthcare materials applications.

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Metadaten
Titel
Fabrication of cellulose nanocrystal reinforced thermoplastic polyurethane/polycaprolactone blends for three-dimension printing self-healing nanocomposites
verfasst von
Hongjie Bi
Zechun Ren
Gaoyuan Ye
Hao Sun
Rui Guo
Xin Jia
Min Xu
Publikationsdatum
11.07.2020
Verlag
Springer Netherlands
Erschienen in
Cellulose / Ausgabe 14/2020
Print ISSN: 0969-0239
Elektronische ISSN: 1572-882X
DOI
https://doi.org/10.1007/s10570-020-03328-x

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