Significant Enhancement of Elasticity of Ptt Fiber Via Introduction of Helical Carbon Nanotubes as Nano ′Spring′ DOI

Chenhua Yang,

Leyu Dai,

Jun Sun

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Highly Sensitive Capacitive Fiber Pressure Sensors Enabled by Electrode and Dielectric Layer Regulation DOI

Xiangyang Qu,

Ruimin Xie, Zhou Zhou

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2023, Номер 15(47), С. 54966 - 54976

Опубликована: Ноя. 15, 2023

Capacitive pressure sensors play an important role in the field of flexible electronics. Despite significant advances two-dimensional (2D) soft sensors, one-dimensional (1D) fiber electronics are still struggling. Due to differences structure, theoretical research 2D has difficulty guiding design 1D sensors. The multiple response factors and capacitive mechanism have not been explored. Fiber urgently need a tailor-made development path. In this regard, we established pressure-sensing platform using coaxial wet spinning process. Aiming at two problems electrode modulus dielectric layer thickness, conclusions drawn from three aspects: model analysis, experimental verification, formula derivation. It makes up some blanks Through self-regulation these without complex structural design, sensitivity can be significantly improved. This provides great reference for Besides, taking advantage scalability easy integration electronics, multipoint prepared by fibers verified their application potential health monitoring, human–machine interface, motion behavior analysis.

Язык: Английский

Процитировано

12

Are low- and high-loss glass–ceramic optical fibers possible game changers? DOI Creative Commons
Wilfried Blanc, Daniele Tosi, Arnaldo Leal‐Junior

и другие.

Optics Communications, Год журнала: 2024, Номер 575, С. 131300 - 131300

Опубликована: Ноя. 10, 2024

Язык: Английский

Процитировано

4

Imaging of Accumulated Mechanical Stresses Using Self-Assembled Layered Conjugated Polymer DOI
Yuki Mochizuki, Hiroaki Imai, Yuya Oaki

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2023, Номер 15(41), С. 48725 - 48735

Опубликована: Окт. 5, 2023

When mechanical stresses, such as tensile, compressive, and frictional are applied to objects by various motions, they accumulated in materials. Conventional mechanoresponsive materials sensors detect one-time stress. However, the stresses not visualized or measured previous works. The present study demonstrated imaging sensing of only but also stresses. Polyurethane (PU) film was combined with 2D layered polydiacetylene (PDA), a stimuli-responsive color-changing polymer. PDA generally exhibits no color changes application tensile compression because molecular motion leading change is induced Here versatile mechanoresponsiveness achieved using block copolymer guest partially intercalated PDA. As interlayer outerlayer segments interact PU, respectively, transferred from PU via guest. imaged quantified work depending on number strength multiple design strategy methodology can be development new for wide range length scales.

Язык: Английский

Процитировано

9

NP-Doped Fiber Smart Tendon: A Millimeter-Scale 3-D Shape Reconstruction With Embedded Distributed Optical Fiber Sensor System DOI
Arnaldo Leal‐Junior, Mariana Silveira, Robertson Pires-Junior

и другие.

IEEE Sensors Journal, Год журнала: 2024, Номер 24(9), С. 14291 - 14299

Опубликована: Март 25, 2024

This paper presents the development of a Nanoparticles (NP)-doped Smart Tendon for three-dimensional (3D) shape reconstruction applications. The proposed smart composite structure is based on combination NP-doped optical fibers immersed into polyurethane (PU) matrix with silicone cover. In fiber, interaction between signals and nanoparticles mainly occurs in mode evanescent field, which leads to increase backscattered power. this context, polarization-assisted Rayleigh Backscattering (RBS) signature analyzed as function different angles at predefined rotation planes. preliminary analysis shows correlation return loss, spectral shift, s- p-polarization components Then, fiber integrated tendon mechanical characterization tests, where viscoelasticity multifunctional system frequencies up 50 Hz, demonstrated an stiffness frequency. Moreover, feed-forward neural network (FFNN) applied input data (namely components) resulted XYZ estimation mean relative errors below 3% (maximum error around 5%), considering positioning range from -100 mm 100 mm. Therefore, approach feasible method novel 3D using single millimeter spatial resolution that can be used applications ranging structural health monitoring, tendon-driven actuators aerospace..

Язык: Английский

Процитировано

3

Significant Enhancement of Elasticity of Ptt Fiber Via Introduction of Helical Carbon Nanotubes as Nano ′Spring′ DOI

Chenhua Yang,

Leyu Dai,

Jun Sun

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0