Tin disulfide piezoelectric nanogenerators for biomechanical energy harvesting and intelligent human-robot interface applications

Yang, Po Kang; Chou, Sui An; Hsu, Ching Hung; Mathew, Roshan Jesus; Chiang, Kuan Hsuan; Yang, Jung Yen; Chen, Yit‐Tsong

doi:10.1016/j.nanoen.2020.104879

Cited by 47 publications

(30 citation statements)

References 48 publications

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“…Yang et al demonstrated a 2D SnS 2 -based PENG device to investigate the simultaneously human-robot control in an intelligent HMI system. [232] As shown in Figure 12c, the distinctive voltages can be generated by human forefingers in various bending states (off, I, II, and III). The distinctive voltages were then used to achieve simultaneous human-robot control with the same bending states, which realized the realtime human-robot control to imitate human gestures.…”

Section: Active Sensors For Artificial Intelligencementioning

confidence: 96%

“…Reproduced with permission. [232] Copyright 2020, Elsevier Ltd. d) The fingerprint-enhanced biomimetic sensor and its application of wireless communication via Bluetooth. Reproduced with permission.…”

Section: Active Sensors For Artificial Intelligencementioning

confidence: 99%

“…Copyright 2018, Elsevier Ltd. c) The human-robot imitation is demonstrated by the smart sign sensor. Reproduced with permission [232]. Copyright 2020, Elsevier Ltd. d) The fingerprint-enhanced biomimetic sensor and its application of wireless communication via Bluetooth.…”

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confidence: 99%

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Piezoelectric Nanogenerators Derived Self‐Powered Sensors for Multifunctional Applications and Artificial Intelligence

Cao

Xiong

Sun

et al. 2021

Adv Funct Materials

181

111

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With the arrival of the Internet of Things (IoTs) era, there is a growing requirement for systems with many sensor nodes in a variety of fields of applications. The demands for wireless, sustainable and independent operation are becoming more and more important for large‐scale sensor networks and systems. For these purposes, a self‐powered sensory system that can utilize the self‐harvested energy from its surroundings to drive the sensors and directly sense external stimuli has attracted great attention. The invention and rapid development of piezoelectric generators (PENGs), which take Maxwell's displacement current as the driving force, has been pushing forward research on self‐powered active mechanical sensors, electronic skins, and human‐robotic interaction. Here, this review starts with a brief introduction of piezoelectric materials, fabrication, and performance improvement. Then, the energy harvesters used for self‐power systems based on recent progress are reviewed. After that, PENGs applications toward recent self‐powered active sensors are divided into four aspects and highlighted, respectively. Moreover, some challenges and future directions for the self‐powered multifunctional sensors are put forward. It is believed that through the continuous investigations into PENG‐based self‐powered active sensors, they will soon be used in touch screens, electronic skins, health care, environmental monitoring, and intelligence systems.

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Section: Active Sensors For Artificial Intelligencementioning

confidence: 96%

Section: Active Sensors For Artificial Intelligencementioning

confidence: 99%

See 1 more Smart Citation

Piezoelectric Nanogenerators Derived Self‐Powered Sensors for Multifunctional Applications and Artificial Intelligence

Cao

Xiong

Sun

et al. 2021

Adv Funct Materials

181

111

View full text Add to dashboard Cite

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“…The self-powered function is very important for the distributed HMIs system to reduce the overall power consumption of the entire system and achieve sustainable operation without battery. The transducing mechanisms of common sensors can be divided into resistive [ 8 , 9 ], capacitive [ 10 , 11 ], piezoelectric [ 12 , 13 ], and triboelectric [ 14 , 15 ]. An external power source is essential for the resistive and capacitive sensors.…”

Section: Introductionmentioning

confidence: 99%

A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Machine Interface

Wang

et al. 2021

Materials

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The human–machine interface plays an important role in the diversified interactions between humans and machines, especially by swaping information exchange between human and machine operations. Considering the high wearable compatibility and self-powered capability, triboelectric-based interfaces have attracted increasing attention. Herein, this work developed a minimalist and stable interacting patch with the function of sensing and robot controlling based on triboelectric nanogenerator. This robust and wearable patch is composed of several flexible materials, namely polytetrafluoroethylene (PTFE), nylon, hydrogels electrode, and silicone rubber substrate. A signal-processing circuit was used in this patch to convert the sensor signal into a more stable signal (the deviation within 0.1 V), which provides a more effective method for sensing and robot control in a wireless way. Thus, the device can be used to control the movement of robots in real-time and exhibits a good stable performance. A specific algorithm was used in this patch to convert the 1D serial number into a 2D coordinate system, so that the click of the finger can be converted into a sliding track, so as to achieve the trajectory generation of a robot in a wireless way. It is believed that the device-based human–machine interaction with minimalist design has great potential in applications for contact perception, 2D control, robotics, and wearable electronics.

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“…Commonly, the piezoelectric micro and nanogenerators have been investigated to convert kinetic energy from vibrations or mechanical motions into electrical energy [ 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ]. This is due to the simple fabrication process, ease of application, and high power density of the piezoelectric materials [ 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Electromechanical Modeling of Vibration-Based Piezoelectric Nanogenerator with Multilayered Cross-Section for Low-Power Consumption Devices

et al. 2020

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Piezoelectric nanogenerators can convert energy from ambient vibrations into electrical energy. In the future, these nanogenerators could substitute conventional electrochemical batteries to supply electrical energy to consumer electronics. The optimal design of nanogenerators is fundamental in order to achieve their best electromechanical behavior. We present the analytical electromechanical modeling of a vibration-based piezoelectric nanogenerator composed of a double-clamped beam with five multilayered cross-sections. This nanogenerator design has a central seismic mass (910 μm thickness) and substrate (125 μm thickness) of polyethylene terephthalate (PET) as well as a zinc oxide film (100 nm thickness) at the bottom of each end. The zinc oxide (ZnO) films have two aluminum electrodes (100 nm thickness) through which the generated electrical energy is extracted. The analytical electromechanical modeling is based on the Rayleigh method, Euler–Bernoulli beam theory and Macaulay method. In addition, finite element method (FEM) models are developed to estimate the electromechanical behavior of the nanogenerator. These FEM models consider air damping at atmospheric pressure and optimum load resistance. The analytical modeling results agree well with respect to those of FEM models. For applications under accelerations in y-direction of 2.50 m/s2 and an optimal load resistance of 32,458 Ω, the maximum output power and output power density of the nanogenerator at resonance (119.9 Hz) are 50.44 μW and 82.36 W/m3, respectively. This nanogenerator could be used to convert the ambient mechanical vibrations into electrical energy and supply low-power consumption devices.

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Tin disulfide piezoelectric nanogenerators for biomechanical energy harvesting and intelligent human-robot interface applications

Cited by 47 publications

References 48 publications

Piezoelectric Nanogenerators Derived Self‐Powered Sensors for Multifunctional Applications and Artificial Intelligence

Piezoelectric Nanogenerators Derived Self‐Powered Sensors for Multifunctional Applications and Artificial Intelligence

A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Machine Interface

Electromechanical Modeling of Vibration-Based Piezoelectric Nanogenerator with Multilayered Cross-Section for Low-Power Consumption Devices

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