An investigation on shape memory behaviors of UHMWPE-based nanocomposites reinforced by graphene nanoplatelets

Run Zhang; Jing Tian; Yihui Wu; Weimin Chou; Jiayuan Yang; Ping Xue

Polymer Testing (Jul 2021)

An investigation on shape memory behaviors of UHMWPE-based nanocomposites reinforced by graphene nanoplatelets

Run Zhang,
Jing Tian,
Yihui Wu,
Weimin Chou,
Jiayuan Yang,
Ping Xue

Affiliations

Run Zhang: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
Jing Tian: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
Yihui Wu: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
Weimin Chou: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
Jiayuan Yang: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
Ping Xue: Corresponding author.; College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China

Journal volume & issue: Vol. 99
p. 107217

Abstract

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Graphene nanoplatelets (GNPs) was utilized to improve shape recovery rate (Rr) of ultra-high-molecular-weight polyethylene (UHMWPE) by compression molding technology. The results show that the melting temperature (Tm) and crystallinity of specimens are decreased, while the mechanical property is improved significantly. Additionally, shape memory behavior of UHMWPE nanocomposites is improved effectively, and the optimal shape memory effect with the shape ﬁxity ratio (Rf) of about 95% and the Rr of about 97% was obtained. Meanwhile, the relationship among shape memory characteristics and microstructure, thermal and mechanical properties was analyzed. Besides, two kinds of shape memory testing methods, the bending test with a custom technique and the cyclic tensile test under DMA controlled strain mode, obtained the same trend and different values of Rf and Rr.

Published in Polymer Testing

ISSN: 0142-9418 (Print); 1873-2348 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Chemical technology: Polymers and polymer manufacture
Website: https://www.journals.elsevier.com/polymer-testing

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