Suppr超能文献

用于提高循环驱动性能的形状记忆合金螺旋弹簧致动器的设计

Design of Shape Memory Alloy Coil Spring Actuator for Improving Performance in Cyclic Actuation.

作者信息

Koh Je-Sung

机构信息

Department of Mechanical Engineering, Ajou University, Suwon 16499, Korea.

出版信息

Materials (Basel). 2018 Nov 19;11(11):2324. doi: 10.3390/ma11112324.

Abstract

Performance of the shape memory alloy (SMA) coil spring actuator in cyclic actuation as an artificial muscle is strongly related to the mechanical design of the coil geometry. This paper proposes a practical design method for improving the frequency and efficiency of the SMA coil spring actuator; by designing the SMA coil spring to have large index (coil diameter/wire diameter) and pitch angle (LIP), cooling characteristics can be improved (increasing the actuation frequency) and large deformation can be obtained. The LIP design process is based on the two-state static model that describes the displacement-force relationship of the SMA coil spring in two states-a fully austenite phase and a fully martensite phase. The design process gives accurate design parameters of the SMA coil spring actuator that satisfy the required stroke and force. The model of the fully martensite phase of the SMA coil that includes the stress-induced detwinning enables the use of maximum shear strain of the SMA. The design method reduces the mass of an SMA without changing the stroke and increase the power density and efficiency. The cyclic actuation experiments demonstrate that the LIP design doubles the maximum frequency of SMA coil actuator with one-sixth the mass of the non-LIP design.

摘要

形状记忆合金(SMA)螺旋弹簧致动器作为人工肌肉在循环致动中的性能与螺旋几何形状的机械设计密切相关。本文提出了一种提高SMA螺旋弹簧致动器频率和效率的实用设计方法;通过将SMA螺旋弹簧设计成具有大指数(线圈直径/线径)和螺距角(LIP),可以改善冷却特性(提高致动频率)并获得大变形。LIP设计过程基于描述SMA螺旋弹簧在完全奥氏体相和完全马氏体相这两种状态下位移-力关系的双态静态模型。该设计过程给出了满足所需行程和力的SMA螺旋弹簧致动器的精确设计参数。包含应力诱导孪生的SMA螺旋完全马氏体相模型能够利用SMA的最大剪切应变。该设计方法在不改变行程的情况下减轻了SMA的质量,并提高了功率密度和效率。循环致动实验表明,LIP设计使SMA螺旋致动器的最大频率提高了一倍,而质量仅为非LIP设计的六分之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1764/6267590/99b8ddc875dd/materials-11-02324-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