CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China.
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Adv Mater. 2018 Dec;30(49):e1803072. doi: 10.1002/adma.201803072. Epub 2018 Sep 27.
Architectures of natural organisms especially plants largely determine their response to varying external conditions. Nature-inspired shape transformation of artificial materials has motivated academic research for decades due to wide applications in smart textiles, actuators, soft robotics, and drug delivery. A "self-growth" method of controlling femtosecond laser scanning on the surface of a prestretched shape-memory polymer to realize microscale localized reconfigurable architectures transformation is introduced. It is discovered that microstructures can grow out of the original surface by intentional control of localized laser heating and ablation, and resultant structures can be further tuned by adopting an asymmetric laser scanning strategy. A distinguished paradigm of reconfigurable architectures is demonstrated by combining the flexible and programmable laser technique with a smart shape-memory polymer. Proof-of-concept experiments are performed respectively in information encryption/decryption, and microtarget capturing/release. The findings reveal new capacities of architectures with smart surfaces in various interdisciplinary fields including anti-counterfeiting, microstructure printing, and ultrasensitive detection.
自然生物，尤其是植物的结构在很大程度上决定了它们对不同外部条件的响应。受人工材料受自然启发的形状变换的启发，其在智能纺织品、执行器、软机器人和药物输送等领域的广泛应用，促使学术界对其进行了数十年的研究。本文提出了一种通过控制飞秒激光在预拉伸形状记忆聚合物表面扫描来实现微尺度局部可重构结构转变的“自生长”方法。通过有目的地控制局部激光加热和烧蚀，可以发现微结构可以从原始表面生长出来，并且可以通过采用不对称激光扫描策略进一步调整所得结构。通过将灵活可编程的激光技术与智能形状记忆聚合物相结合，展示了一种可重构结构的杰出范例。分别在信息加密/解密以及微目标捕获/释放方面进行了概念验证实验。研究结果揭示了智能表面结构在包括防伪、微结构打印和超灵敏检测等各个跨学科领域的新能力。
