Liquid metal microspheres enabled photothermally triggered shape memory fibers with strong thermomechanical interfaces for soft robotics and actuator-sensory hybrids
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引用次数: 0
Abstract
Light-driven shape-memory effect offers a promising approach for programmable, untethered actuation in soft robotics and wearable electronics. However, achieving high-efficiency photothermal conversion, robust thermomechanical interface, and integrated multimodal sensing remains challenging, especially on multilayered fibers. Herein, we report a heterogeneous core-sheath fiber-based soft actuator consisting of a wet-spun thermoplastic polyurethane/polycaprolactone (TPU/PCL) core and a conformal sheath coating of photothermally responsive liquid metal microspheres (μLMs). The ultrasonically derived μLMs exhibited adjustable sizes and optical absorption, enabling efficient photothermal welding of waterborne polyurethane (WPU) onto the fiber with robust thermomechanical interfaces. These intriguing characteristics delivered rapid photothermal heating to ~80 °C at 28.9 °C s−1 under 0.85 W cm−2 NIR irradiation and excellent stability over 1000 cycles, sufficient to trigger the phase transition and shape programming of the fiber actuator. Leveraging those properties, fiber-based soft robotics and wearable intelligent textile systems were achieved. Furthermore, by conformally coating Ti3C2Tx MXene on fiber, a multimodal sensing interface capable of detecting NH3 gas and strain can be obtained, with mixed-signal classification achieved through a KNN algorithm. Such a versatile fiber-based devices that seamlessly couples photothermally-triggered actuation and multimodal sensing offer new opportunities for soft, embodied intelligent robotics.
光驱动形状记忆效应为软机器人和可穿戴电子产品的可编程、无系留驱动提供了一种很有前途的方法。然而,实现高效光热转换、强大的热机械界面和集成的多模态传感仍然具有挑战性,特别是在多层光纤上。在此,我们报道了一种基于非均质芯-鞘纤维的软致动器,该软致动器由湿纺热塑性聚氨酯/聚己内酯(TPU/PCL)芯和光热响应液态金属微球(μ lm)的保形护套涂层组成。超声衍生μLMs具有可调节的尺寸和光吸收特性,使水性聚氨酯(WPU)光热焊接在具有坚固热力学界面的光纤上成为可能。这些有趣的特性提供了快速光热加热到~80 °C在28.9 °C s−1下0.85 W cm−2近红外辐射和卓越的稳定性超过1000 循环,足以触发相变和形状编程的光纤致动器。利用这些特性,实现了基于纤维的软机器人和可穿戴智能纺织系统。此外,通过在光纤上共形涂层Ti3C2Tx MXene,可以获得能够检测NH3气体和应变的多模态传感接口,并通过KNN算法实现混合信号分类。这种基于光纤的多功能设备无缝耦合了光热触发驱动和多模态传感,为柔性、嵌入式智能机器人技术提供了新的机会。
期刊介绍:
The Chemical Engineering Journal is an international research journal that invites contributions of original and novel fundamental research. It aims to provide an international platform for presenting original fundamental research, interpretative reviews, and discussions on new developments in chemical engineering. The journal welcomes papers that describe novel theory and its practical application, as well as those that demonstrate the transfer of techniques from other disciplines. It also welcomes reports on carefully conducted experimental work that is soundly interpreted. The main focus of the journal is on original and rigorous research results that have broad significance. The Catalysis section within the Chemical Engineering Journal focuses specifically on Experimental and Theoretical studies in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. These studies have industrial impact on various sectors such as chemicals, energy, materials, foods, healthcare, and environmental protection.