Fire-retardant braided electronic rope with a hierarchical core-shell structure for fire rescue operations

Gong, Haoran; Peng, Zhiyong; Liu, Yingcun; Chen, Ze; Fei, Shiyu; Xu, Ruoxian; Liu, Keshuai; Xu, Duo; Guo, Yizhu

doi:10.1016/j.compositesb.2023.111152

Composites Part B: Engineering

2024

DOI: 10.1016/j.compositesb.2023.111152

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Fire-retardant braided electronic rope with a hierarchical core-shell structure for fire rescue operations

Haoran Gong,

Zhiyong Peng,

Yingcun Liu

et al.

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2024

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Cited by 3 publications

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Robust Treble-Weaving Wearable Textiles for Pressure and Temperature Monitoring in Harsh Environments

Wang,

Zhao,

et al. 2024

ACS Appl. Mater. Interfaces

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Wearable sensing textiles with continuous temperature monitoring, tactile feedback, and motion perception are highly desirable for personal safeguarding in extreme environments, such as fire scenes and extreme sports. However, it remains challenging for current wearable sensors to maintain reliable performance and provide point-of-care monitoring in harsh environments, such as high- and low-temperature or high-humidity conditions. Herein, a robust temperature and pressure sensing textile (TPST) with a hierarchical triple-weaving structure is developed using industrial weaving technology. The well-engineered interlacing configuration of the polyimide binding yarns in the triple-weaving structure tightly solidifies the carbon-based sensing yarns between two weaving layers, forming an integrated textile sensing array. The TPST not only exhibits excellent sensing sensitivity, reliability, and rapid response to pressure and temperature stimuli but also shows robust mechanical properties, flame resistance, and wearing comfort. Moreover, we demonstrate the application of the TPST for continuous temperature monitoring, human motion mapping, and vital sign monitoring. This technology offers significant potential for enhancing autonomous rescue operations and defense wearables.

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Robust Treble-Weaving Wearable Textiles for Pressure and Temperature Monitoring in Harsh Environments

Wang,

Zhao,

et al. 2024

ACS Appl. Mater. Interfaces

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Review of rope coating research: Mechanism, application, and future directions

Bao,

Hu,

Gao

et al. 2024

Textile Research Journal

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This article first introduces several different types of coating mechanisms and their application environments, including wear-resistant coatings, anticorrosive coatings, waterproof coatings, and flame-retardant coatings. It then introduces several fiber materials used for ropes, including carbon fiber, ultra-high molecular weight polyethylene pipe (UHMWPE) fiber, aramid fiber, and steel wire, and gives an analysis and summary of their properties and applications. Furthermore, the current progress of coating research on these four fiber ropes is discussed in detail. Finally, the article summarizes the deficiencies in the relevant research fields and looks forward to their future development directions.

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An accurate respiratory rate estimation algorithm for a rubber fiber respiratory sensor

Kim,

Kim

2024

Journal of Industrial Textiles

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Respiratory measurement is a crucial indicator for assessing health status; however, current methods for measuring respiratory rate and frequency are passive and not intuitive. This study investigates peak detection algorithms using a resistive strain sensor integrated into a garment for respiratory rate monitoring. The sensor, constructed with CNT material and a flexible rubber substrate, exhibits high conformity to the body’s contours. Designed for respiration measurement, the sensor maintains a low 6% strain for optimal sensitivity, demonstrating a 4% decrease after 800 repetitions of 10% elongation. Garment design emphasizes cohesion between the sensor and fabric, achieved through a piping technique. Respiratory measurement relies on a resistive sensor principle, where abdominal volume changes induce tension, altering resistance. Three peak detection algorithms are evaluated: the window size algorithm, low-pass filter, and FIR filter. The window size algorithm shows a 93% matching rate for normal breathing but requires manual adjustments based on breathing speed. The low-pass filter reduces noise but introduces lag, challenging peak matching. The FIR filter effectively detects peaks at increased speeds, achieving a matching rate exceeding 98%. The study concludes that the choice of algorithm depends on respiratory scenarios, with the window size algorithm suitable for regular cycles, the low-pass filter for real-time monitoring, and the FIR filter for accelerated respiratory rates. The study primarily explores static situations, indicating the need for future research on dynamic respiratory movements to enhance algorithm versatility.

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Fire-retardant braided electronic rope with a hierarchical core-shell structure for fire rescue operations

Cited by 3 publications

References 41 publications

Robust Treble-Weaving Wearable Textiles for Pressure and Temperature Monitoring in Harsh Environments

Robust Treble-Weaving Wearable Textiles for Pressure and Temperature Monitoring in Harsh Environments

Review of rope coating research: Mechanism, application, and future directions

An accurate respiratory rate estimation algorithm for a rubber fiber respiratory sensor

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