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用于自成型结构的形状记忆合金(SMA)偏置弹簧驱动模拟:参数敏感性研究。

Simulation of Shape Memory Alloy (SMA)-Bias Spring Actuation for Self-Shaping Architecture: Investigation of Parametric Sensitivity.

作者信息

Yi Hwang

机构信息

Architectural Design & Technology Lab, Department of Architecture, School of Engineering, Ajou University, Suwon 16499, Korea.

出版信息

Materials (Basel). 2020 May 29;13(11):2485. doi: 10.3390/ma13112485.

Abstract

Parametric complexity of the thermomechanical shape memory alloy (SMA) model is one of the major barriers to advanced application of the SMA actuation in adaptive architecture. This article seeks to provide architectural practitioners with decision-making information about SMA actuator design parameters. Simulation-based global sensitivity analysis of an SMA-bias spring actuation model reveals that the SMA spring index (a spring's outer diameter divided by its wire diameter) and stiffness of the bias spring are significant factors in both displacement and force exertion. Among all parameters, maximum output stroke and force largely depend on the temperature range at which the SMA spring operates. These findings also indicate a trade-off between the spring diameter and wire thickness, demonstrating that the output stroke and force tend to counter one another. Appropriate preloading and choice of an optimal spring index should be considered for desirable SMA motion.

摘要

热机械形状记忆合金(SMA)模型的参数复杂性是SMA驱动在自适应建筑中高级应用的主要障碍之一。本文旨在为建筑从业者提供有关SMA致动器设计参数的决策信息。基于模拟的SMA偏置弹簧驱动模型全局灵敏度分析表明,SMA弹簧指数(弹簧外径除以其线径)和偏置弹簧刚度是位移和力施加的重要因素。在所有参数中,最大输出行程和力在很大程度上取决于SMA弹簧工作的温度范围。这些发现还表明弹簧直径和线厚度之间存在权衡,表明输出行程和力往往相互抵消。为了实现理想的SMA运动,应考虑适当的预加载和最佳弹簧指数的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72c/7321067/e78725a2bd72/materials-13-02485-g001.jpg

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