Mechanical energy harvesting and self-powered electronic applications of textile-based piezoelectric nanogenerators: A systematic review

Bairagi, Satyaranjan; Islam, Siraj Ul; Shahadat, Mohammad; Mulvihill, Daniel M.; Ali, Wazed

doi:10.1016/j.nanoen.2023.108414

Cited by 64 publications

(22 citation statements)

References 174 publications

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“…These electromechanical configuration challenges are (a) to achieve high stretchability and efficient self‐healing properties for different applications; (b) higher voltage generation without influencing viscoelastic properties of the composites used in fabricating these devices; (c) resistance to fatigue and failure or obtaining higher fracture toughness quality are still challenging and better materials are required; (d) life cycle assessment such as higher lifetime and sustainable materials with better piezoelectric activity is required 48,49 . Overall, the key message involves further research for the use of sustainable and high‐voltage performance a matter that needs to be addressed.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, Figure 2C shows that the hybrid-filled composite also shows able materials with better piezoelectric activity is required. 48,49 Overall, the key message involves further research for the use of sustainable and high-voltage performance a matter that needs to be addressed. In addition, further attention is required for novel ecofriendly materials of research and development before their commercialization.…”

Section: Electromechanical Behavior and Stability Of Compositementioning

confidence: 99%

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Robust performance for composites using silicone rubber with different prospects for wearable electronics

Kumar,

Alam,

Yewale

et al. 2023

Polymers for Advanced Techs

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The different configurations of the composites originated with machine or human motion, and their mechanical stability for wearable electronics is in focus. Here, the study highlights that these configurations are critical for wearable devices. To achieve these aspects, the electroactive and dielectric silicone rubber (SR) was used as a host matrix. This SR not only provides flexibility, twisting, or stretchability for such devices, but its lightweight makes them comfortable for robust wearable devices. The reinforcing fillers such as graphite nanoplatelets (GNP) or diatomaceous earth (DE) and their hybrids are used. The electromechanical properties of the device were performed using the universal testing machine. The output voltage generated at 15 phr filler was 0.3 mV (GNP), 0.15 mV (DE), and 0.22 mV (hybrid). Similarly, the biomechanical properties were studied with human motion joints such as thumb pressing or wrist bending. The output voltage at 15 phr was best for thumb pressing and it was 0.42 mV (GNP), 0.18 mV (DE), and 0.25 mV (hybrid). In the same way, the mechanical aspects studied in this work are compressive modulus, tensile strength, and fracture strain. For example, the compressive modulus was 1.28 MPa (control) and increased at 15 phr filler to 2.44 MPa (GNP), 3.2 MPa (DE), and 2.75 MPa (hybrid). Similarly, the mechanical stretchability of the devices was 134% (control) and changed at 15 phr filler to 128% (GNP), 78% (DE), and 109% (hybrid). Overall, the work demonstrates the method to develop a device with high mechanical, electromechanical, and biomechanical properties and their usefulness for wearable electronic devices.

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Section: Resultsmentioning

confidence: 99%

Section: Electromechanical Behavior and Stability Of Compositementioning

confidence: 99%

Robust performance for composites using silicone rubber with different prospects for wearable electronics

Kumar,

Alam,

Yewale

et al. 2023

Polymers for Advanced Techs

View full text Add to dashboard Cite

show abstract

“…25 However, although the hybrid MEG system successfully harvested both moisture and sunlight synchronously, the power still needs to be improved, requiring the arrays of the hybrid MEGs to operate conventional electronic devices due to their output voltage typically in the range of hundreds of millivolts to approximately 1.0 V. We envisioned that harvesters based on mechanical-energy conversions such as piezo- and triboelectricity could be good candidates for high-performance hybrid MEGs because of their capability for readily generating high output voltages. 28–30 An MEG with a unique ion-selective surface could also be suitable for triboelectrification, particularly, involving repetitive mechanical contact electrification, giving rise to a high-power hybrid MEG with a triboelectric nanogenerator (TENG). 31,32 However, to develop such a hybrid MEG, several issues should be resolved.…”

Section: Introductionmentioning

confidence: 99%

A deformable complementary moisture and tribo energy harvester

Kim,

Lee,

Zhao

et al. 2024

Energy Environ. Sci.

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“…Piezoelectric materials allow the mutual conversion between electrical energy and mechanical energy and have been widely used in the fields of sensors, energy storage, flexible electronics, and electrochemical control. − Broken symmetry is a necessary condition to trigger strong piezoelectric effects in two-dimensional (2D) monolayers. − For instance, 2D Janus transition metal dichalcogenides (TMDC) are demonstrated with broken symmetry and spontaneous polarization as 2D piezoelectric materials with strong intrinsic piezoelectricity . However, only a very limited number of 2D Janus piezoelectric materials have been synthesized due to the strict synthesis conditions and complex processes required to fabricate these materials.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Accelerated Discovery of Functional MXenes with Giant Piezoelectric Coefficients

Li,

Qiu,

Cui

et al. 2024

ACS Appl. Mater. Interfaces

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Efficient and rapid screening of target materials in a vast material space remains a significant challenge in the field of materials science. In this study, first-principles calculations and machine learning algorithms are performed to search for high outof-plane piezoelectric stress coefficient materials in the MXene functional database among the 1757 groups of noncentrosymmetric MXenes with nonzero band gaps, which meet the criteria for piezoelectric properties. For the monatomic MXene testing set, the random forest regression (RFR), gradient boosting regression (GBR), support vector regression (SVR), and multilayer perceptron regression (MLPR) exhibit R 2 values of 0.80, 0.80, 0.89, and 0.87, respectively. Expanding our analysis to the entire MXene data set, the best active learning cycle finds more than 140 and 22 MXenes with out-of-plane piezoelectric stress coefficients (e 31 ) exceeding 3 × 10 −10 and 5 × 10 −10 C/m, respectively. Moreover, thermodynamic stabilities were confirmed in 22 MXenes with giant piezoelectric stress coefficients and 9 MXenes with both large in-plane (d 11 > 15 pm/V) and out-of-plane (d 31 > 2 pm/V) piezoelectric strain coefficients. These findings highlight the remarkable capabilities of machine learning and its optimization algorithms in accelerating the discovery of novel piezoelectric materials, and MXene materials emerge as highly promising candidates for piezoelectric materials.

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Mechanical energy harvesting and self-powered electronic applications of textile-based piezoelectric nanogenerators: A systematic review

Cited by 64 publications

References 174 publications

Robust performance for composites using silicone rubber with different prospects for wearable electronics

Robust performance for composites using silicone rubber with different prospects for wearable electronics

A deformable complementary moisture and tribo energy harvester

Machine Learning Accelerated Discovery of Functional MXenes with Giant Piezoelectric Coefficients

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