20 research outputs found

    Self-healing materials for soft-matter machines and electronics

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    The emergence of soft machines and electronics creates new opportunities to engineer robotic systems that are mechanically compliant, deformable, and safe for physical interaction with the human body. Progress, however, depends on new classes of soft multifunctional materials that can operate outside of a hard exterior and withstand the same real-world conditions that human skin and other soft biological materials are typically subjected to. As with their natural counterparts, these materials must be capable of self-repair and healing when damaged to maintain the longevity of the host system and prevent sudden or permanent failure. Here, we provide a perspective on current trends and future opportunities in self-healing soft systems that enhance the durability, mechanical robustness, and longevity of soft-matter machines and electronics

    Electromechanics of Planar HASEL Actuators

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    Soft Electrohydraulic Actuators for Origami Inspired Shape-Changing Interfaces

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    Reconfigurable and programmable origami dielectric elastomer actuators with 3D shape morphing and emissive architectures

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    Soft actuators with the capability to generate programmable and reconfigurable motions without the use of complicated and rigid infrastructures are of great interest for the development of smart, interactive, and adaptive soft electronic systems. Here, we report a new strategy to achieve a transparent and reconfigurable actuator by using a dielectric elastomer actuator (DEA), which provides mechanical strains under electrical bias, integrated with origami ethyl cellulose (EC) paper that “instructs” the shape changes of the actuator. The actuator can be reconfigured and multiple mechanical motions can be programmed in the device by creating crease patterns that induce variations in the local stiffness to direct the actuations. With the versatile design and fabrication approach, a light emission device with dynamic shape changes was demonstrated.National Research Foundation (NRF)Published versionThis work was financially supported by the National Research Foundation Competitive Research Programme (Award No. NRF-CRP-13-2014-02) and the NRF Investigatorship (Award No. NRF-NRFI2016-05)
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