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A Stress-Induced Phase Transition Model for Semi-crystallize Shape Memory Polymer

机译:半结晶形状记忆聚合物的应力诱导相变模型

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The developments of constitutive models for shape memory polymer (SMP) have been motivated by its increasing applications. During cooling or heating process, the phase transition which is a continuous time-dependent process happens in semi-crystallize SMP and the various individual phases form at different temperature and in different configuration. Then, the transformation between these phases occurred and shape memory effect will emerge. In addition, stress applied on SMP is an important factor for crystal melting during phase transition. In this theory, an ideal phase transition model considering stress or pre-strain is the key to describe the behaviors of shape memory effect. So a normal distributed model was established in this research to characterize the volume fraction of each phase in SMP during phase transition. Generally, the experiment results are partly backward (in heating process) or forward (in cooling process) compared with the ideal situation considering delay effect during phase transition. So, a correction on the normal distributed model is needed. Furthermore, a nonlinear relationship between stress and phase transition temperature T_g is also taken into account for establishing an accurately normal distributed phase transition model. Finally, the constitutive model which taking the stress as an influence factor on phase transition was also established. Compared with the other expressions, this new-type model possesses less parameter and is more accurate. For the sake of verifying the rationality and accuracy of new phase transition and constitutive model, the comparisons between the simulated and experimental results were carried out.
机译:形状记忆聚合物(SMP)的本构模型的发展受到其不断增加的应用的推动。在冷却或加热过程中,相变是一个连续的时间相关的过程,发生在半结晶SMP中,并且各种不同的相在不同的温度和配置下形成。然后,发生这些阶段之间的转换,形状记忆效应就会出现。另外,施加在SMP上的应力是相变过程中晶体熔化的重要因素。在该理论中,考虑应力或预应变的理想相变模型是描述形状记忆效应行为的关键。因此,本研究建立了正态分布模型,以表征相变过程中SMP中每个相的体积分数。一般而言,与考虑相变过程中的延迟效应的理想情况相比,实验结果是部分向后(在加热过程中)或向前(在冷却过程中)。因此,需要对正态分布模型进行校正。此外,在建立精确的正态分布相变模型时,也要考虑应力和相变温度T_g之间的非线性关系。最后,建立了以应力为影响相变的本构模型。与其他表达式相比,该新型模型具有较少的参数且更准确。为了验证新的相变和本构模型的合理性和准确性,对仿真结果和实验结果进行了比较。

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