A volatile organic compound free unibody triboelectric nanogenerator and its application as a smart green track

Wu, Wenjie; Wen, Shipeng; Wei, Yi; Ruan, Lu; Li, Fanzhu; Cao, Xia; Wang, Zhong Lin; Zhang, Liqun

doi:10.1016/j.nanoen.2022.108001

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…In addition, Wu et al 54 studied the S-L CE effect on the EDL at the atomic level through rst-principles and molecular dynamics simulations, as shown in Fig. 4(e)-(h).…”

Section: Ion Transfer and The Electric Double Layermentioning

confidence: 99%

Contact-electro-catalysis under natural and industrial conditions: mechanisms, strategies, and challenges

Li,

Tong

2024

J. Mater. Chem. A

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“…In addition, Wu et al 54 studied the S-L CE effect on the EDL at the atomic level through rst-principles and molecular dynamics simulations, as shown in Fig. 4(e)-(h).…”

Section: Ion Transfer and The Electric Double Layermentioning

confidence: 99%

Contact-electro-catalysis under natural and industrial conditions: mechanisms, strategies, and challenges

Li,

Tong

2024

J. Mater. Chem. A

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“…The optimum cure time (t 90 ) of the compounds were obtained by a P3555B2 Disc Vulcameter (Beijing Huanfeng Chemical Machinery Trial Plant, Beijing, China). The obtained vulcanized rubber was punched out by a cutter to cut out a dumbbell-shaped specimen [ 6 ].…”

Section: Experiments and Data Adjustmentmentioning

confidence: 99%

“…The influence of spoke thickness on vertical stiffness was systematically analyzed. Wu et al [ 6 ] used the combination of a hyperelastic model and pseudoelastic model to describe the hysteresis loop of the tensile recovery stress–strain curve with high fitting accuracy, and the damping performance of a smart track unit was analyzed. Ghoreishy et al [ 7 ] introduced linear Prony series and nonlinear Bergstrom-Boyce viscoelastic constitutive models into the material models to simulate the tensile behavior of the tread component in truck and bus radial (TBR) tires.…”

Section: Introductionmentioning

confidence: 99%

Hyper-Pseudo-Viscoelastic Model and Parameter Identification for Describing Tensile Recovery Stress–Strain Responses of Rubber Components in TBR

et al. 2022

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Tires are often in service under dynamic conditions. Realizing the high-precision prediction of the mechanical response of rubber materials under cyclic loading can provide guidance for the design of high-performance tires. In this work, the tensile recovery stress-strain responses of rubber materials in nine different components of a truck and bus radial (TBR) tire were obtained through experiments. Before fitting, an experimental data processing method was proposed to facilitate the parameter identification for a hyper-pseudo-viscoelastic model, that is, the raw experimental data were changed to the adjusted test data. The HyperFit software was used to fit the adjusted test data based on the Yeoh hyperelastic model and the Ogden-Roxburgh pseudoelastic model to obtain the initial material parameters for the two models. In order to describe the permanent set, the Prony series viscoelastic model was introduced. The Isight software was adopted to optimize the parameters. The results showed that the hyper-pseudo-viscoelastic model (i.e., the combination of Yeoh, Ogden-Roxburgh and Prony series models) can describe the tensile recovery mechanical responses (loading curve, unloading curve and permanent set) of nine different rubber components in TBRs. The fitting results are in good agreement with the adjusted data, and all the coefficients of determination (R2) exceed 0.975. Finally, the cyclic deformation simulation of a dumbbell rubber specimen was carried out based on the above constitutive model and fitted parameters. R2 was used to describe the simulation accuracy and its value reached 0.968.

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Triboelectric nanogenerator powered dielectric elastomer: Mechanism and applications

Wang,

Liu,

Dong

et al. 2023

Chemical Physics Letters

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A volatile organic compound free unibody triboelectric nanogenerator and its application as a smart green track

Cited by 3 publications

References 34 publications

Contact-electro-catalysis under natural and industrial conditions: mechanisms, strategies, and challenges

Contact-electro-catalysis under natural and industrial conditions: mechanisms, strategies, and challenges

Hyper-Pseudo-Viscoelastic Model and Parameter Identification for Describing Tensile Recovery Stress–Strain Responses of Rubber Components in TBR

Triboelectric nanogenerator powered dielectric elastomer: Mechanism and applications

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