Chen Kaifeng, Yang Hua, Wang Ang, Tang Linsen, Zha Xin, Iita Ndeutala Selma, Zhang Hong, Li Zhuoxuan, Wang Xinyu, Yang Wei, Qu Shaoxing, Wang Zongrong
Huanjiang Laboratory, School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310027, China.
State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
Adv Sci (Weinh). 2025 Jan;12(3):e2408313. doi: 10.1002/advs.202408313. Epub 2024 Nov 25.
Signal drift and hysteresis of flexible piezoresistive sensors pose significant challenges against the widespread applications in emerging fields such as electronic skin, wearable equipment for metaverse and human-AI (artificial intelligence) interfaces. To address the creep and relaxation issues associated with pressure-sensitive materials, a highly stable piezoresistive composite is proposed, using polyamide-imide (PAI) fibers as the matrix and in situ grafted-polymerized polyaniline (PANI) as the semi-conducting layer. The PAI with large rigid fluorenylidene groups exhibits a high glass transition temperature of 372 °C (PAI 5-5), which results in an extremely long relaxation time at room temperature and consequently offers outstanding anti-creep/relaxation performances. The enhancement of PAI-PANI interfacial bonding through in situ grafting improves the sensor reliably. The sensor presents high linear sensitivity of 35.3 kPa over a pressure range of 0.2-20 kPa, outstanding repeatability, and excellent dynamic stability with only a 3.8% signal deviation through ≈10 000 cycles. Real-time visualization of pressure distribution is realized by sensor matrices, which demonstrate the capability of tactile gesture recognition on both flat and curved surfaces. The recognition of sitting postures is achieved by two 12 × 12 matrices facilitated by machine learning, which prompts the potential for the augmentation of smart driving.
柔性压阻式传感器的信号漂移和滞后现象给其在电子皮肤、元宇宙可穿戴设备以及人机人工智能接口等新兴领域的广泛应用带来了重大挑战。为了解决与压敏材料相关的蠕变和松弛问题,提出了一种高度稳定的压阻复合材料,该材料以聚酰胺酰亚胺(PAI)纤维为基体,原位接枝聚合的聚苯胺(PANI)为半导体层。具有大刚性芴基的PAI表现出372°C的高玻璃化转变温度(PAI 5-5),这导致其在室温下具有极长的松弛时间,从而具有出色的抗蠕变/松弛性能。通过原位接枝增强PAI-PANI界面结合,提高了传感器的可靠性。该传感器在0.2-20 kPa的压力范围内呈现出35.3 kPa的高线性灵敏度、出色的重复性以及优异的动态稳定性,在约10000次循环中信号偏差仅为3.8%。通过传感器矩阵实现了压力分布的实时可视化,展示了在平面和曲面上进行触觉手势识别的能力。通过机器学习辅助的两个12×12矩阵实现了坐姿识别,这为智能驾驶的增强带来了潜力。