Multi-modulus gradient structured, self-healing, recyclable, self-adhesive capacitive flexible pressure sensor

IF 14.2 1区 材料科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Tingting Yu , Xiaozhou Lü , Yumeng He , Weimin Bao
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引用次数: 0

Abstract

Flexible sensors have garnered significant attention due to their electromechanical characteristics, such as surface adaptability, extensible conformability, and tunable flexibility. Among these sensors, self-healing flexible sensors (SFS) exhibit long-term stability as they can recover their initial functionality even after suffering mechanical damage. However, these sensors face challenges in practical applications, including difficulty in balancing sensitivity and measurement range, low self-healing efficiency, and insufficient surface adaptability. To mitigate these challenges, this paper proposes a multi-modulus gradient structured, self-healing, recyclable, and self-adhesive capacitive flexible pressure sensor (MSRS-CFPS). The proposed sensor consists of liquid metal (LM) electrodes and a dielectric layer made up of three integrated self-healing polydimethylsiloxane elastomers (SPE) with different moduli, achieving a balance between high sensitivity (0.061 kPa−1) and wide measurement range (65.03 kPa). The MSRS-CFPS demonstrates excellent mechanical healing efficiency (98.85 % MHE) and electrical healing efficiency (99.82 % EHE), which are achieved thanks to the excellent self-healing ability of SPEs and LM electrodes. The sensor can tightly adhere to various complex surfaces without additional fixing devices, and the SPE's elastic modulus can recover up to 91.64 % of its initial value after recycling. The MSRS-CFPS shows a high potential for applications in human motion detection and regional stress measurement.
多模梯度结构、自修复、可回收、自粘式电容柔性压力传感器
柔性传感器由于其机电特性,如表面适应性、可扩展的一致性和可调的灵活性,已经引起了人们的极大关注。在这些传感器中,自修复柔性传感器(SFS)即使在遭受机械损伤后也能恢复其初始功能,具有长期稳定性。然而,这些传感器在实际应用中面临着灵敏度和测量范围难以平衡、自愈效率低、表面适应性不足等挑战。为了缓解这些挑战,本文提出了一种多模量梯度结构、自修复、可回收和自粘的电容柔性压力传感器(MSRS-CFPS)。该传感器由液态金属(LM)电极和由三种不同模量的集成自修复聚二甲基硅氧烷弹性体(SPE)组成的介电层组成,实现了高灵敏度(0.061 kPa−1)和宽测量范围(65.03 kPa)之间的平衡。MSRS-CFPS表现出优异的机械愈合效率(98.85% MHE)和电愈合效率(99.82% EHE),这得益于SPEs和LM电极优异的自愈能力。该传感器无需附加固定装置即可与各种复杂表面紧密粘附,回收后SPE弹性模量可恢复到初始值的91.64%。MSRS-CFPS在人体运动检测和区域应力测量方面具有很大的应用潜力。
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来源期刊
Composites Part B: Engineering
Composites Part B: Engineering 工程技术-材料科学:复合
CiteScore
24.40
自引率
11.50%
发文量
784
审稿时长
21 days
期刊介绍: Composites Part B: Engineering is a journal that publishes impactful research of high quality on composite materials. This research is supported by fundamental mechanics and materials science and engineering approaches. The targeted research can cover a wide range of length scales, ranging from nano to micro and meso, and even to the full product and structure level. The journal specifically focuses on engineering applications that involve high performance composites. These applications can range from low volume and high cost to high volume and low cost composite development. The main goal of the journal is to provide a platform for the prompt publication of original and high quality research. The emphasis is on design, development, modeling, validation, and manufacturing of engineering details and concepts. The journal welcomes both basic research papers and proposals for review articles. Authors are encouraged to address challenges across various application areas. These areas include, but are not limited to, aerospace, automotive, and other surface transportation. The journal also covers energy-related applications, with a focus on renewable energy. Other application areas include infrastructure, off-shore and maritime projects, health care technology, and recreational products.
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