Object recognition by a heat-resistant core-sheath triboelectric nanogenerator sensor

Zhong, Xiaodi; Sun, Ping; Wei, Ruichao; Dong, Hua; Jiang, Saihua

doi:10.1039/d2ta03422k

Cited by 31 publications

(11 citation statements)

References 40 publications

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“…Support vector machine (SVM) is an efficient method for data classification and has been widely used in human motion monitoring. [37,38] Therefore, an SVM machine-learning algorithm is designed, which is combined with IF-TENG sensors to classify and recognize the above motions (Figure 4c). Specifically, the analog voltage data of IF-TENGs is collected by the hardware circuit through an oscilloscope and converted into digital voltage.…”

Section: Resultsmentioning

confidence: 99%

One‐Stop Fabrication of Flexible Sensors Based on Aqueous Printable Triboelectric Layer‐Electrode Integrated Ink with Enhanced Heat‐Resistance

Dong,

Jiang,

et al. 2023

Adv Materials Technologies

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Triboelectric nanogenerator (TENG) sensors can meet various application‐scenario requirements for their portability and sustainability. However, the multiple steps from manufacturing to assembly are generally tedious and manpower‐consuming, limiting further development of TENGs in industrialization. Herein, a printable heat‐resistant triboelectric layer‐electrode integration ink is prepared by doping MXene into Polyvinylpyrrolidone and methyl cellulose system for the first time, which is simple and environmentally friendly. And a facile method for manufacturing integrated‐forming TENG (IF‐TENG) sensors without additional electrode assembly based on 3D printing technology is reported, the resulting TENG is flexible and heat‐resistant (≤200 °C). On this basis, IF‐TENGs with simple and complex patterns are rapidly constructed without manual assembly, which can perceive different pressures and bending angles of arms efficiently in high‐temperature conditions. To improve the sensing accuracy, the prepared IF‐TENG sensors are implanted on the four main stress positions on an insole. The support vector machine (SVM) is used to process and analyze the output signals to improve the accuracy of gaits recognition. The mean area under the receiver operating characteristic curve (AUC) value of 0.99 is obtained after parameter optimization by the GridSearch algorithm, and the recognization of various gaits achieves a high accuracy of 96.7%. This work provides an advanced fabrication strategy for TENG with low labor costs and thermal stability, demonstrating great prospects of TENG in mass manufacturing and safety motion monitoring in high‐temperature environments.

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Section: Resultsmentioning

confidence: 99%

One‐Stop Fabrication of Flexible Sensors Based on Aqueous Printable Triboelectric Layer‐Electrode Integrated Ink with Enhanced Heat‐Resistance

Dong,

Jiang,

et al. 2023

Adv Materials Technologies

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“…The vertical burning test was conducted on a horizontal vertical burning tester (CZF-3, China) according to GB/T 5455-2014, and the samples with a size of 300 mm × 89 mm were conditioned at (20 ± 2) °C, (65 ± 4)% RH for 24 h with an ignition time of 12 s. To study the triboelectric outputs of the FRT-TENG at high temperatures, the sample with the size of 30 mm × 30 mm was placed on a hot stage and heated at specific temperatures for 5 min to ensure sufficient heating. [58] The limiting oxygen index test was carried out by an oxygen index meter (DYNISCO, USA) according to GB/T 5455-1997, and the size of the specimens was 150 mm × 58 mm. The cone calorimetry test was conducted according to ISO 5660-1 by using a cone calorimeter (FTTL, UK) under an external heat flux of 35 kW m −2 , and the size of the tested samples was 100 mm × 100 mm × 1.14 mm.…”

Section: Methodsmentioning

confidence: 99%

A Machine‐Braided Flame‐Retardant Triboelectric Yarn/Textile for Fireproof Application

Cui

Liu

Zheng

et al. 2023

Adv Materials Technologies

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With the rapid development of the textile-based triboelectric nanogenerators (T-TENGs), it is highly desired to create a simple and cheap fabrication strategy for the T-TENGs with high flame-retardant performances (FRT-TENGs), which can present reliable electrical performance in the fire disaster. In this work, by covering the flame-retardant polyethylene terephthalate filaments around the conductive fiber, a flame-retardant triboelectric yarn is successfully developed through a simple and continuous high-speed braiding process. The obtained composite yarns are further woven into an FRT-TENG, which presents excellent comprehensive performances, including good energy harvesting ability, long-term durability and washability, excellent flame retardancy, and high comfortability. The open-circuit voltage (V OC ) and short-circuit current (I SC ) can reach nearly 12 V and 0.36 μA, respectively. The FRT-TENG shows a high limiting oxygen index value of 31.3% and self-extinguishing behavior, and still presents high energy output performances after the burning, making it a perfect candidate for intelligent devices with high fireproof ability, such as the smart firefighter uniform and the intelligent carpet for escape direction indication.

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“…In order to achieve more precise distinction, the support vector machine (SVM) algorithm of machine learning was employed for auxiliary recognition, which is a related supervised learning method for classification and regression, which can build a model via training data to classify data in new samples. 39,40 Each of the objects was subjected to 50 cycles of grasp tests to enrich the data set, as depicted in the confusion matrix of Fig. 6(g), the average accuracy of recognition can achieve 98.6%, demonstrating the excellent recognition capability of the object shapes.…”

Section: Materials Classification and Shape Recognition Of The Sensormentioning

confidence: 99%

A selectively bimodal flexible sensor based on IL/SWCNTs/PEDOT:PSS nanocomposites for materials and shape recognition

Yuan,

Tian,

et al. 2024

J. Mater. Chem. C

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Object recognition by a heat-resistant core-sheath triboelectric nanogenerator sensor

Abstract: Compared to traditional rigid, and energy-consumptive sensors, self-powered flexible sensors have attracted extensive attention. However, few of them can survive at high temperatures, which restricts their application in many extreme...

Cited by 31 publications

References 40 publications

One‐Stop Fabrication of Flexible Sensors Based on Aqueous Printable Triboelectric Layer‐Electrode Integrated Ink with Enhanced Heat‐Resistance

One‐Stop Fabrication of Flexible Sensors Based on Aqueous Printable Triboelectric Layer‐Electrode Integrated Ink with Enhanced Heat‐Resistance

A Machine‐Braided Flame‐Retardant Triboelectric Yarn/Textile for Fireproof Application

A selectively bimodal flexible sensor based on IL/SWCNTs/PEDOT:PSS nanocomposites for materials and shape recognition

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