为热激活形状记忆聚合物和数值分析开发一个简化的三维粘弹性构成模型
Mingkun Li1,2, Longbin Liu3,4, Shaozhe Ding1,2
1College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
Scientific reports
|November 29, 2025
概括
本研究介绍了形状记忆聚合物 (SMP) 的简化粘弹性模型,以预测它们在小压力下的行为. 该模型准确地模拟了SMP在各种工程应用中的性能,帮助智能结构设计.
科学领域:
- 材料科学 材料科学 材料科学
- 聚合物科学 聚合物科学
- 机械工程 机械工程
背景情况:
- 形状记忆聚合物 (SMP) 是智能材料,在航空航天,生物医学,机器人和织行业具有重大潜力.
- 准确的构成模型对于预测热力学行为和优化SMP应用至关重要.
- 了解小压力下的变形机制对于扭曲和曲等工程应用至关重要.
研究的目的:
- 根据标准线性粘弹性 (SLV) 框架,为SMP开发一个简化的三维粘弹性构成模型.
- 描述SMPs在小应变条件下的形状记忆行为.
- 为了方便对SMP的热力学反应进行数值模拟.
主要方法:
- 使用标准线性粘弹性 (SLV) 框架实现简化的3D粘弹性模型.
- 为ABAQUS有限元分析软件开发一个用户定义的材料子程序 (UMAT).
- 在单轴张力,扭曲和曲变形下模拟SMPs的形状记忆行为.
主要成果:
- 拟议的模型准确地预测了在各种小压力条件下SMPs的机械行为.
- 模拟结果与实验数据有很好的一致性,验证了模型的预测能力.
- 该模型有效地捕捉了与工程应用相关的SMP的热力学反应.
结论:
- 基于SLV的简化粘弹性模型为预测SMP行为提供了准确和高效的方法.
- 该模型的简单性和易于实施为设计基于SMP的智能结构提供了有价值的理论指导.
- 这项研究通过改善对其机械性能的理解和预测,促进了SMP的实际应用.
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