Self-powered transformer intelligent wireless temperature monitoring system based on an ultra-low acceleration piezoelectric vibration energy harvester

Wang, Fayang; Zhou, Meitong; Wu, Pengfan; Gao, Lingxiao; Chen, Xin; Mu, Xiaojing

doi:10.1016/j.nanoen.2023.108662

Cited by 17 publications

(3 citation statements)

References 44 publications

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“…When designing piezoelectric MEMS energy harvesters, materials like PZT and AlN are considered. Although PZT is often favored for its superior piezoelectric efficiency [38], allowing vibrational energy harvesters to generate power ranging from 1 µW to 100 µW [16][17][18], it poses specific challenges in fabrication due to contamination risks during the deposition process. Conversely, while AlN exhibits lower piezoelectric properties, it is considered more feasible for MEMS fabrication due to its ease of processing [39], typically generating power at mV levels in the nW to µW range [19,20].…”

Section: Harnessing Wind Energy: Correlating Vortex-induced Dynamics ...mentioning

confidence: 99%

“…The materials commonly chosen for piezoelectric films include PZT and AlN. PZT, known for its high piezoelectric properties, has been applied in MEMS energy harvesters, typically harvesting energy ranging from 1 µW to 100 µW [16][17][18]. However, a significant drawback of PZT is that its use in micromachining processes can contaminate fabrication equipment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester

Kang,

Kim,

Shin

et al. 2024

Micromachines

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We introduce a micro-electromechanical system (MEMS) energy harvester, designed for capturing flow energy. Moving beyond traditional vibration-based energy harvesting, our approach incorporates a cylindrical oscillator mounted on an MEMS chip, effectively harnessing wind energy through flow-induced vibration (FIV). A highlight of our research is the development of a comprehensive fabrication process, utilizing a 5.00 µm thick cantilever beam and piezoelectric film, optimized through advanced micromachining techniques. This process ensures the harvester’s alignment with theoretical predictions and enhances its operational efficiency. Our wind tunnel experiments confirmed the harvester’s capability to generate a notable electrical output, with a peak voltage of 2.56 mV at an 8.00 m/s wind speed. Furthermore, we observed a strong correlation between the experimentally measured voltage frequencies and the lift force frequency observed by CFD analysis, with dominant frequencies identified in the range of 830 Hz to 867 Hz, demonstrating the potential application in actual flow environments. By demonstrating the feasibility of efficient energy conversion from ambient wind, our research contributes to the development of sustainable energy solutions and low-power wireless electron devices.

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Section: Harnessing Wind Energy: Correlating Vortex-induced Dynamics ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester

Kang,

Kim,

Shin

et al. 2024

Micromachines

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“…TENGs convert mechanical energy into electrical signals when subjected to external friction, touching, stretching or twisting. TENG enjoys the advantages of simple structure, small size, light weight, high efficiency, high stability and relatively easy preparation, enabling combination with a variety of back-end controls such as wireless signal transmission systems [13], data acquisition and monitoring systems [14], energy storage systems [15], intelligent algorithmic systems [16], etc, and is widely used in fields like electronic skin (e-skin) [17], wearable electronics [18,19], and HMIs [20,21]. In addition to the independent PENGs and TENGs, the hybrid piezoelectric-TENGs (P-TENGs) achieve both triboelectric and piezoelectric effect on a single sensor by sharing common electrodes and transferring charge between PENG and TENG.…”

Section: Introductionmentioning

confidence: 99%

Recent advances in piezoelectric and triboelectric self-powered sensors for human–machine interface applications

Du,

Li,

Qiu

et al. 2024

J. Micromech. Microeng.

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The burgeoning internet of things (IoTs) and artificial intelligence (AI) technologies have prospered a variety of emerging applications. Human-machine interfaces (HMIs), for instance, enables users with intuitive, efficient, and friendly way to interact with machines, capable of instant information acquisition, processing, communication, and feedback, etc. These features require ultra-compact and high-performance transducers, and therefore self-powered sensors have become the key underlying technology for HMI applications. This review focuses on the piezoelectric, triboelectric, and hybrid self-powered sensors with particular attention to their microstructures and fabrication methods, showing that both traditional microfabrication and emerging fabrication methods like three-dimensional (3D) printing, electrospinning, and braiding have contributed to the planar, array, porous, fabric, and composite type self-powered sensors. Moreover, the integration method of piezoelectric and triboelectric sensor arrays (TSAs) is investigated. The crosstalk issue is highlighted, i.e. the signal interference between adjacent sensing units, and current solutions such as array design optimization, signal processing improvement, and material innovation to reduce crosstalk sensitivity have been reviewed through specific examples. Three categories of HMI applications have been outlined, including intelligent interaction, robotics, and human monitoring, with detailed explanations of how the self-powered sensors support these HMI applications. Through discussion of challenges and prospects, it is proposed that further coordinating the design and fabrication of micro devices with HMIs will potentially boost the intelligent application with even higher level of diversification, convenience, and interconnectivity.

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A Flexible, Adaptive, and Self‐Powered Triboelectric Vibration Sensor with Conductive Sponge‐Silicone for Machinery Condition Monitoring

Zou,

Sun,

Zhang

et al. 2024

Small

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Vibration sensors for continuous and reliable condition monitoring of mechanical equipment, especially detection points of curved surfaces, remain a great challenge and are highly desired. Herein, a highly flexible and adaptive triboelectric vibration sensor for high‐fidelity and continuous monitoring of mechanical vibration conditions is proposed. The sensor is entirely composed of flexible materials. It consists of a conductive sponge‐silicone layer and a fluorinated ethylene propylene film. It can detect vibration acceleration of 5 to 50 m s−2 and vibration frequency of 10 to 100 Hz. It has strong robustness and stability, and the output performance barely changes after the durability test of 168 000 working cycles. Additionally, the flexible sensor can work even when the detection point of the mechanical equipment is curved, and the linear fit of the output voltage and acceleration is very close to that when the detection point is flat. Finally, it can be applied to monitoring the working condition of blower and vehicle engine, and can transmit vibration signal to mobile phone application through Wi‐Fi module for real‐time monitoring. The flexible triboelectric vibration sensor is expected to provide a practical paradigm for smart, green, and sustainable wireless sensor system in the era of Internet of Things.

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Self-powered transformer intelligent wireless temperature monitoring system based on an ultra-low acceleration piezoelectric vibration energy harvester

Cited by 17 publications

References 44 publications

Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester

Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester

Recent advances in piezoelectric and triboelectric self-powered sensors for human–machine interface applications

A Flexible, Adaptive, and Self‐Powered Triboelectric Vibration Sensor with Conductive Sponge‐Silicone for Machinery Condition Monitoring

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