Zadan Mason, Patel Dinesh K, Sabelhaus Andrew P, Liao Jiahe, Wertz Anthony, Yao Lining, Majidi Carmel
Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Adv Mater. 2022 Jun;34(23):e2200857. doi: 10.1002/adma.202200857. Epub 2022 May 2.
Liquid crystal elastomers (LCEs) have attracted tremendous interest as actuators for soft robotics due to their mechanical and shape memory properties. However, LCE actuators typically respond to thermal stimulation through active Joule heating and passive cooling, which make them difficult to control. In this work, LCEs are combined with soft, stretchable thermoelectrics to create transducers capable of electrically controlled actuation, active cooling, and thermal-to-electrical energy conversion. The thermoelectric layers are composed of semiconductors embedded within a 3D printed elastomer matrix and wired together with eutectic gallium-indium (EGaIn) liquid metal interconnects. This layer is covered on both sides with LCE, which alternately heats and cools to achieve cyclical bending actuation in response to voltage-controlled Peltier activation. Moreover, the thermoelectric layer can harvest energy from thermal gradients between the two LCE layers through the Seebeck effect, allowing for regenerative energy harvesting. As demonstrations, first, closed-loop control of the transducer is performed to rapidly track a changing actuator position. Second, a soft robotic walker that is capable of walking toward a heat source and harvesting energy is introduced. Lastly, phototropic-inspired autonomous deflection of the limbs toward a heat source is shown, demonstrating an additional method to increase energy recuperation efficiency for soft systems.
由于其机械性能和形状记忆特性,液晶弹性体(LCE)作为软机器人的致动器引起了极大的关注。然而,LCE致动器通常通过主动焦耳加热和被动冷却来响应热刺激,这使得它们难以控制。在这项工作中,LCE与柔软、可拉伸的热电材料相结合,以制造能够进行电控驱动、主动冷却和热-电能量转换的换能器。热电层由嵌入3D打印弹性体基质中的半导体组成,并与共晶镓铟(EGaIn)液态金属互连导线连接在一起。该层的两侧均覆盖有LCE,LCE通过交替加热和冷却,以响应电压控制的珀耳帖效应实现周期性弯曲驱动。此外,热电层可以通过塞贝克效应从两个LCE层之间的热梯度中获取能量,从而实现再生能量收集。作为演示,首先,对换能器进行闭环控制,以快速跟踪变化的致动器位置。其次,引入了一种能够朝着热源行走并收集能量的软机器人步行器。最后,展示了受光致变色启发的肢体向热源的自主偏转,这展示了一种提高软系统能量回收效率的额外方法。