4.6 Article

A dynamic hysteresis model for customized glass transition in amorphous polymer towards multiple shape memory effects

期刊

SMART MATERIALS AND STRUCTURES
卷 31, 期 12, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-665X/aca263

关键词

shape memory polymer; relaxation hysteresis; glass transition; dynamics

资金

  1. National Natural Science Foundation of China (NSFC) [11725208, 12172107]
  2. Royal Society [IEC/NSFC/201078]
  3. NSFC

向作者/读者索取更多资源

This study explores the dynamic properties of discrete segments in amorphous shape memory polymers (SMPs), establishes dynamic hysteresis and phase transition models to describe the dynamic connection between complex relaxation hysteresis and glass transition behavior, and achieves multiple SMEs.
Coexistence of multiple and discrete segments as well as their distinctive hysteresis relaxations enables amorphous shape memory polymers (SMPs) exhibiting complex disordered dynamics, which is critical for the glass transition behavior to determine the shape memory effect (SME), but remained largely unexplored. In this study, a dynamic hysteresis model is proposed to explore the working principle and collective dynamics in discrete segments of amorphous SMPs, towards a dynamic connection between complex relaxation hysteresis and glass transition behavior, which can be applied for design and realization of multiple SMEs in the amorphous SMPs. In combination of free volume theory and Adam-Gibbs domain size model, a phase transition model is formulated to identify the working principle of dynamic relaxation hysteresis in the glass transition of amorphous SMP. Furthermore, constitutive relationships among relaxation time, strain, storage modulus, loss angle and temperature have been established to describe the dynamic connection between complex relaxation hysteresis and customized glass transition, which is then utilized to achieve multiple SMEs based on the extended Maxwell model. Finally, effectiveness of the proposed models is verified using experimental results of SMPs with multiple SMEs reported in literature.

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