POLYMERS AND POLYMER MATRIX COMPOSITES |
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Progress in Application of Dynamic Thermomechanical Analysis Technique in Characterization of Polymeric Shape Memory Effects |
LI Xingjian1,*, LYU Jianing1, YAO Xinkuan2, ZHOU Meng2, LI Yinwen1, XU Shoufang1
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1 School of Materials Science and Engineering, Linyi University, Linyi 276000, Shandong, China 2 Zibo Institute of Special Equipment Inspection, Zibo 255000, Shandong, China |
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Abstract The shape memory polymers refer to a class of intelligent materials that sense changes in the external environment, respond to such changes, adjust to its own state parameters and return to a preset state. At present, SMP can not only realize the most widely studied irreversible double shape memory effect, but also exhibit complex triple shape memory effect, multiple shape memory effect, reversible two-way shape me-mory effect under constant external force, and reversible two-way shape memory effect without external force and shape reconfigurable effects. Generally, the shape memory effect of polymers can be characterized using dynamic thermomechanical analysis techniques. By controlling the stress, strain and temperature of the SMP, deformation, temporary shape fixation and shape recovery can be achieved, thereby obtaining a stress-strain-temperature cycle thermomechanical curves to achieve quantitative shape memory performance, including shape fixation ratio (Rf), shape recovery ratio (Rr), shape recovery speed and shape recovery force, etc. This paper reviews the application of the tensile mode of the dynamic thermomechanical analyzer (TA-Q800) in the characterization of various shape memory effects, including the selection of test programs, program settings and their corresponding thermomechanical cycle curves, parameter calculations, and influences of test conditions on shape memory effects. It ends with a critical and prospective discussion on problems existing in the current research and future development trends of this field.
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Published: 25 November 2024
Online: 2024-11-22
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Fund:National Natural Science Foundation of China (22275076, 22172070), Shandong Provincial Natural Science Foundation (ZR2020QE092), Key Project of Natural Science Foundation of Shandong Province (ZR2020KE002), and 2023 National College Students' Innovation and Entrepreneurship Training Program (202310452143). |
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