利用接枝抗蠕变复合材料的柔性压阻传感器基质增强智能驾驶硬件。

IF 14.3 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Science Pub Date : 2024-11-25 DOI:10.1002/advs.202408313
Kaifeng Chen, Hua Yang, Ang Wang, Linsen Tang, Xin Zha, Ndeutala Selma Iita, Hong Zhang, Zhuoxuan Li, Xinyu Wang, Wei Yang, Shaoxing Qu, Zongrong Wang
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引用次数: 0

摘要

柔性压阻传感器的信号漂移和滞后现象对其在新兴领域的广泛应用构成了重大挑战,例如电子皮肤、用于元宇宙和人类人工智能(AI)界面的可穿戴设备。为了解决与压敏材料相关的蠕变和松弛问题,我们提出了一种高度稳定的压阻复合材料,使用聚酰胺-酰亚胺(PAI)纤维作为基体,原位接枝聚合聚苯胺(PANI)作为半导电层。具有大刚性亚芴基团的 PAI 具有 372 °C 的高玻璃化转变温度(PAI 5-5),因此在室温下具有极长的弛豫时间,从而具有出色的抗蠕变/弛豫性能。通过原位接枝增强 PAI-PANI 的界面键合,提高了传感器的可靠性。该传感器在 0.2-20 kPa 的压力范围内具有 35.3 kPa-1 的高线性灵敏度、出色的可重复性和极佳的动态稳定性,在 ≈10 000 次循环中信号偏差仅为 3.8%。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。两个 12 × 12 矩阵通过机器学习实现了坐姿识别,这为增强智能驾驶提供了可能。
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Smart Driving Hardware Augmentation by Flexible Piezoresistive Sensor Matrices with Grafted-on Anticreep Composites.

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-1 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.

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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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