形状记忆合金的现象学建模:对宏观方法的回顾
Girolamo Costanza1, Maria Elisa Tata1, Saeed Danaee Barforooshi1
1Industrial Engineering Department, University of Rome Tor Vergata, 00133 Rome, Italy.
Micromachines
|November 27, 2025
概括
本综述对形状记忆合金 (SMA) 的现象模型进行了分类,详细说明了它们的操作原理,预测和限制. 它还探讨了SMA应用和未来的研究方向,以加强建模和跨学科使用.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算机建模 计算建模
背景情况:
- 形状记忆合金 (SMA) 具有独特的热力学特性,如超弹性和形状记忆效应.
- 这些特性使生物医学,航空航天和土木工程领域的各种应用成为可能.
- 当前的现象学模型在不考虑微观结构的情况下描述SMA行为,限制了预测准确性.
研究的目的:
- 审查和比较SMA现有的现象模型.
- 探索SMA的当前和新兴应用,特别是在执行和能量收集方面.
- 确定先进的SMA建模和集成的未来研究方向.
主要方法:
- 主要现象学建模示例的分类和比较.
- 在热力学负荷下分析模型原理,预测和限制.
- 探索SMA应用程序和与优化框架的集成.
主要成果:
- 对SMA的现象模型被分类,强调它们的操作原则,预测能力和局限性.
- 讨论了SMA在驱动,缓冲,振动控制和能量收集方面的日益增长的应用.
- 该审查确定了SMA建模的关键挑战,包括周期性负载预测和计算工具集成.
结论:
- 准确的现象学模型对于推动SMA的科学发展和实际应用至关重要.
- 未来的研究应该专注于开发复杂载荷条件的模型,并将其与商业软件集成.
- 探索跨学科的应用将进一步提高SMAs的实用性.
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