Suppr超能文献

有限应变粘弹性框架内形状记忆聚合物的参数识别与验证

Parameter Identification and Validation of Shape-Memory Polymers within the Framework of Finite Strain Viscoelasticity.

作者信息

Ghobadi Ehsan, Shutov Alexey, Steeb Holger

机构信息

Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany.

Lavrentyev Institute of Hydrodynamics, Lavrentyeva 15, 630090 Novosibirsk, Russia.

出版信息

Materials (Basel). 2021 Apr 19;14(8):2049. doi: 10.3390/ma14082049.

Abstract

Shape-Memory Polymers (SMPs) can be stretched to large deformations and recover induced strains when exposed to an appropriate stimulus, such as heat. This emerging class of functional polymers has attracted much interest and found applications in medicine and engineering. Nevertheless, prior to any application, their physical and mechanical properties must be thoroughly studied and understood in order to make predictions or to design structures thereof. In this contribution, the viscoelastic behavior of a polyether-based polyurethane (Estane) and its rate- and temperature-dependent behavior have been studied experimentally and by the mean of simulations. The model-inherent material parameters are identified with the assumption of the thermo-rheological complexity. Here, the numerical results of uni-axial stress relaxations were compared with the associated experiments in conjucation with the Levenberg-Marquard optimization method to determine the parameters of the Prony equation. The ability of the model to simulate the thermo-mechanical properties of Estane was evaluated by data-rich experimental observations on tension and torsion in various temperature ranges. Heterogeneous tests are included into the experimental program to cover a broader spectrum of loading scenarios.

摘要

形状记忆聚合物(SMPs)可以被拉伸至大变形,并在受到诸如热等适当刺激时恢复所产生的应变。这类新兴的功能聚合物已引起广泛关注,并在医学和工程领域得到应用。然而,在任何应用之前,必须对其物理和力学性能进行深入研究和理解,以便进行预测或设计其结构。在本论文中,通过实验和模拟手段研究了一种聚醚基聚氨酯(依斯塔尼)的粘弹性行为及其与速率和温度相关的行为。在热流变复杂性假设下识别模型固有的材料参数。在此,将单轴应力松弛的数值结果与相关实验结果相结合,并采用列文伯格-马夸德优化方法来确定普龙尼方程的参数。通过在不同温度范围内对拉伸和扭转进行丰富的数据实验观测,评估了该模型模拟依斯塔尼热机械性能的能力。非均匀测试被纳入实验方案,以涵盖更广泛的加载场景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7781/8073646/7c94708e3ee0/materials-14-02049-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验