Multifunctional Mechanical Metamaterials with Embedded Triboelectric Nanogenerators

Tao, Hongcheng; Gibert, James M.

doi:10.1002/adfm.202001720

Cited by 37 publications

(23 citation statements)

References 77 publications

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“…Scavenging environmental mechanical energy using triboelectric nanogenerators as energy sources [ 1 , 2 , 3 ] or self-powered sensors [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ] for future maintenance-free applications has attracted much attention since the invention of the triboelectric nanogenerator (TENG) in 2012 [ 12 ]. The operating principle of TENGs is the combination effects of contact electrification and electrostatic induction.…”

Section: Introductionmentioning

confidence: 99%

Universal Triboelectric Nanogenerator Simulation Based on Dynamic Finite Element Method Model

Chen

Wang

Xuan

et al. 2020

Sensors

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The lack of a universal simulation method for triboelectric nanogenerator (TENG) makes the device design and optimization difficult before experiment, which protracts the research and development process and hinders the landing of practical TENG applications. The existing electrostatic induction models for TENGs have limitations in simulating TENGs with complex geometries and their dynamic behaviors under practical movements due to the topology change issues. Here, a dynamic finite element method (FEM) model is proposed. The introduction of air buffer layers and the moving mesh method eliminates the topology change issues during practical movement and allows simulation of dynamic and time-varying behaviors of TENGs with complex 2D/3D geometries. Systematic investigations are carried out to optimize the air buffer thickness and mesh densities, and the optimized results show excellent consistency with the experimental data and results based on other existing methods. It also shows that a 3D disk-type rotating TENG can be simulated using the model, clearly demonstrating the capability and superiority of the dynamic FEM model. Moreover, the dynamic FEM model is used to optimize the shape of the tribo-material, which is used as a preliminary example to demonstrate the possibility of designing a TENG-based sensor.

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Section: Introductionmentioning

confidence: 99%

Universal Triboelectric Nanogenerator Simulation Based on Dynamic Finite Element Method Model

Chen

Wang

Xuan

et al. 2020

Sensors

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“…[246] A recent multifunctional prototype that embedded TENGs devices in mechanical metamaterials has demonstrated not only a tunable energy harvesting capability, but also unique smart foams that combine vibration absorption and self-powered sensing for packaging systems. [247] Deformable energy storage devices are in urgent need of developing fully deformable electronics devices. Therefore, architectures that can effectively accommodate high-level deformation while minimizing the actually experienced strain have been exploited, such as bridge-island structures, [227,248] buckling films, [249,250] wire shape, [251,252] kirigami, [83] and origami [121] designs.…”

Section: Energy Harvesting and Storagementioning

confidence: 99%

Mechanomaterials: A Rational Deployment of Forces and Geometries in Programming Functional Materials

et al. 2021

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finite element analysis (FEA). Reproduced with permission. [227] Copyright 2013, Springer Nature. d) Optical images of a stretchable single-crystal Si p-n diode with wavy microstructures on a PDMS substrate at −11% (top), 0% (middle), and 11% (bottom) applied strains. Reproduced with permission. [228] Copyright 2006, AAAS. e) The impact of microstructural topography on the electrical output of the TENGs device. Reproduced with permission. [246] Copyright 2012, American Chemical Society. f) Stretchable batteries with self-similar serpentine interconnects (upper row) that could power a LED upon the biaxial 300% stretch (lower row). Reproduced with permission. [227] Copyright 2013, Springer Nature. g) Excellent capacitance retention of kirigami-inspired stretchable supercapacitors under the recycling tensile strain of 400%. Reproduced with permission. [83] Copyright 2018, Wiley-VCH.

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“…[7] With the rapid development of smart materials and structures, more intelligent features are being incorporated into mechanical metamaterials. [8][9][10] Currently, there is urgent need for exploring new class of multifunctional metamaterial implants with novel properties and functionalities.…”

Section: Introductionmentioning

confidence: 99%

Patient‐Specific Self‐Powered Metamaterial Implants for Detecting Bone Healing Progress

Barri

Zhang

Swink

et al. 2022

Adv Funct Materials

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There is an unmet need for developing a new class of smart medical implants with novel properties and advanced functionalities. Here, the concept of “self‐aware implants” is proposed to enable the creation of a new generation of multifunctional metamaterial implantable devices capable of responding to their environment, empowering themselves, and self‐monitoring their condition. These functionalities are achieved via integrating nano energy harvesting and mechanical metamaterial design paradigms. Various aspects of the proposed concept are highlighted by developing proof‐of‐concept interbody spinal fusion cage implants with self‐sensing, self‐powering, and mechanical tunability features. Bench‐top testing is performed using synthetic biomimetic and human cadaver spine models to evaluate the electrical and mechanical performance of the developed patient‐specific metamaterial implants. The results show that the self‐aware cage implants can diagnose bone healing process using the voltage signals generated internally through their built‐in contact‐electrification mechanisms. The voltage and current generated by the implants under the axial compression forces of the spine models reach 9.2 V and 4.9 nA, respectively. The metamaterial implants can serve as triboelectric nanogenerators to empower low‐power electronics. The capacity of the proposed technology to revolutionize the landscape of implantable devices and to achieve better surgical outcomes is further discussed.

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Multifunctional Mechanical Metamaterials with Embedded Triboelectric Nanogenerators

Cited by 37 publications

References 77 publications

Universal Triboelectric Nanogenerator Simulation Based on Dynamic Finite Element Method Model

Universal Triboelectric Nanogenerator Simulation Based on Dynamic Finite Element Method Model

Mechanomaterials: A Rational Deployment of Forces and Geometries in Programming Functional Materials

Patient‐Specific Self‐Powered Metamaterial Implants for Detecting Bone Healing Progress

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