Finite element analysis of stress distribution in soft sensors under torsional loading

Adamos Christou, A. Dahiya, R. Dahiya
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引用次数: 1

Abstract

The wearable and flexible sensors are enabling advances in next-generation technologies such as soft robotics, mobile healthcare, internet of things etc. In consequence, novel materials and manufacturing methods have received most of the attention so far. However, with the growing use of these technologies in real applications, other important areas such as mechanical reliability under repeated mechanical deformations also require greater consideration. A few studies covering this aspect have mainly focused on mechanical stress under simple bending conditions and ignored stress evolution under twisting (torsional) movements. The present work studies the influence of different parameters such as carrier substrate dimensions and its material and twisting angles on the stress distribution during torsional movements using finite element method. Following this, highly stretchable strain sensors are fabricated using nanocomposite of carbon nanotubes and Ecoflex™ and tested under various twisting angles. The soft strain sensor possesses excellent repeatable and robust torsional strain detection properties with >100% change in resistance at ±90° of twisting and has shown potential for wearable and robotics applications.
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扭转载荷下软传感器应力分布的有限元分析
可穿戴和柔性传感器正在推动软机器人、移动医疗、物联网等下一代技术的进步。因此,到目前为止,新的材料和制造方法受到了大部分的关注。然而,随着这些技术在实际应用中的应用越来越多,其他重要领域,如重复机械变形下的机械可靠性也需要更多的考虑。这方面的一些研究主要集中在简单弯曲条件下的机械应力,而忽略了扭转运动下的应力演化。本文采用有限元方法研究了载基尺寸及其材料、扭转角度等不同参数对扭转运动中应力分布的影响。随后,利用碳纳米管和Ecoflex™的纳米复合材料制造了高度可拉伸的应变传感器,并在各种扭转角度下进行了测试。软应变传感器具有出色的可重复和强大的扭转应变检测性能,在±90°扭转时阻力变化>100%,具有可穿戴和机器人应用的潜力。
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