A real-time self-powered wireless pressure sensing system based on capacitive triboelectric pressure sensor

Nano Energy, Год журнала: 2025, Номер unknown, С. 110729 - 110729

Опубликована: Янв. 1, 2025

Язык: Английский

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Triple-gradient based dielectric layer for flexible capacitive sensor with broad sensing linearity and high sensitivity

Applied Materials Today, Год журнала: 2025, Номер 42, С. 102614 - 102614

Опубликована: Янв. 29, 2025

Язык: Английский

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Design, Fabrication, and Application of Large-Area Flexible Pressure and Strain Sensor Arrays: A Review

Micromachines, Год журнала: 2025, Номер 16(3), С. 330 - 330

Опубликована: Март 12, 2025

The rapid development of flexible sensor technology has made arrays a key research area in various applications due to their exceptional flexibility, wearability, and large-area-sensing capabilities. These can precisely monitor physical parameters like pressure strain complex environments, making them highly beneficial for sectors such as smart wearables, robotic tactile sensing, health monitoring, electronics. This paper reviews the fabrication processes, operational principles, common materials used sensors, explores application different materials, outlines two conventional preparation methods. It also presents real-world examples large-area arrays. Fabrication techniques include 3D printing, screen laser etching, magnetron sputtering, molding, each influencing performance ways. Flexible sensors typically operate based on resistive capacitive mechanisms, with structural designs (e.g., sandwich fork-finger) affecting integration, recovery, processing complexity. careful selection materials—especially substrates, electrodes, sensing materials—is crucial efficacy. Despite significant progress design application, challenges remain, particularly mass production, wireless real-time data processing, long-term stability. To improve production feasibility, optimizing reducing material costs, incorporating automated lines are essential scalability defect reduction. For enhancing energy efficiency through low-power communication protocols addressing signal interference stability critical seamless operation. Real-time requires innovative solutions edge computing machine learning algorithms, ensuring low-latency, high-accuracy interpretation while preserving flexibility Finally, environmental adaptability demands new protective coatings withstand harsh conditions. Ongoing overcoming these challenges, that meet needs diverse remaining cost-effective reliable.

Язык: Английский

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Flexible Pressure Sensors Enhanced by 3D‐Printed Microstructures

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

Abstract 3D printing has revolutionized the development of flexible pressure sensors by enabling precise fabrication diverse microstructures that significantly enhance sensor performance. These advancements have substantially improved key attributes such as sensitivity, response time, and durability, facilitating applications in wearable electronics, robotics, human–machine interfaces. This review provides a comprehensive analysis sensing mechanisms these sensors, emphasizing role microstructures, micro‐patterned, microporous, hierarchical designs, optimizing The advantages techniques, including direct indirect methods, creation complex with high precision adaptability are highlighted. Specific applications, human physiological signal monitoring, motion detection, soft emerging explored to demonstrate versatility sensors. Additionally, this briefly discusses challenges, material compatibility, optimization difficulties, environmental stability, well trends, integration advanced technologies, innovative multidimensional promising avenues for future advancements. By summarizing recent progress identifying opportunities innovation, critical insights into bridging gap between research real‐world helping accelerate evolution sophisticated 3D‐printed microstructures.

Язык: Английский

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Multi-layered gradient-structured TPU/CNTs aerogel with ultra-wide pressure detection capabilities for machine learning–assisted fruit recognition

Advanced Composites and Hybrid Materials, Год журнала: 2024, Номер 8(1)

Опубликована: Дек. 23, 2024

Язык: Английский

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