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首页> 外文期刊>Sensors >Electrical Resistivity-Based Study of Self-Sensing Properties for Shape Memory Alloy-Actuated Artificial Muscle
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Electrical Resistivity-Based Study of Self-Sensing Properties for Shape Memory Alloy-Actuated Artificial Muscle

机译:基于电阻率的形状记忆合金致动人工肌肉自感应特性的研究

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Shape memory alloy (SMA) has great potential to develop light and compact artificial muscle (AM) due to its muscle-like high power-to-weight ratio, flexibility and silent operation properties. In this paper, SMA self-sensing properties are explored and modeled in depth to imitate the integrated muscle-like functions of actuating and self-sensing for SMA-AM based on the investigation of SMA electrical resistivity (ER). Firstly, an ER transformation kinetics model is proposed based on the simulation of SMA differential scanning calorimetry (DSC) curves. Then a series of thermal-electrical-mechanical experiments are carried out to verify the validity of the ER model, whereby the SMA-AM self-sensing function is well established under different stress conditions. Finally the self-sensing capability is further demonstrated by its application to a novel SMA-AM-actuated active ankle-foot orthosis (AAFO).
机译:形状记忆合金(SMA)具有像肌肉一样的高功率重量比,柔韧性和静音操作特性,因此具有开发轻巧紧凑的人造肌肉(AM)的巨大潜力。本文通过对SMA电阻率(ER)的研究,对SMA的自感应特性进行了深入研究和建模,以模仿SMA-AM集成的类似肌肉的致动和自感应功能。首先,基于SMA差示扫描量热法(DSC)曲线的仿真,建立了ER转化动力学模型。然后进行了一系列的热电机械实验以验证ER模型的有效性,从而在不同的应力条件下很好地建立了SMA-AM自感应功能。最后,通过将其应用于新型SMA-AM驱动的主动式踝足矫形器(AAFO),进一步证明了自感应功能。

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