Double-Chamber Underwater Thruster Diaphragm with Flexible Displacement Detection Function DOI Creative Commons
Chong Cao, Chengchun Zhang, Chun Shen

и другие.

ACS Omega, Год журнала: 2024, Номер 9(42), С. 43175 - 43183

Опубликована: Окт. 8, 2024

The purpose of this paper is to develop a self-detecting diaphragm integrated with flexible sensor, which utilized in an underwater thruster. Resistive strain sensors are easy manufacture and integrate due their advantages reliable stretchability ductility. Inspired by the structure neurons, we fabricated resistive using silica gel as matrix carbon black nanotubes additives. All demonstrated positive resistance characteristics under 60% conditions, sensor containing mass ratio 9 wt % exhibiting best resistance-strain linearity. To verify anti-interference capability substrates varying hardness values changing environmental pressure, tested pressure sensitivity altering gel. results indicate that highest value provides interference. detect motion deformation internal functional components thruster, combined detection movement operation function diaphragm, resulting new capabilities. was evaluated tensile testing machine LCR tester. demonstrate mechanical properties stable, sensitive response during operation. This research can also be applied amplitudes other types soft robots.

Язык: Английский

Biomimetic Heteromodulus All-Fluoropolymer Piezoelectric Nanofiber Mats for Highly Sensitive Acoustic Detection DOI
Yujie Wu, Chunyan Tang, Shan Wang

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Flexible piezoelectric pressure sensors have aroused a plethora of applications in wearable electronics, acoustic transducers, and energy harvesters thanks to many merits such as prompt response, good signal linearity, ease shaping. However, all-polymer films low coefficient severe stress dissipation, it is currently challenging achieve high output for the foregoing without introducing nanomaterials or ceramics. Here, we report local engineering strategy fabricate biomimetic all-fluoropolymer film with high-modulus poly(vinylidene fluoride) (PVDF) nanospheres embedded on low-modulus fluoride-trifluoride ethylene) (PVDF-TrFE) nanofibers highly sensitive detection. High-modulus PVDF create concentration sites PVDF-TrFE increase deformation, leading significantly improved force/pressure sensitivity. As such, by comparison force sensitivity 60 mV/N neat PVDF-TrFE, heteromodulus fiber mats 10 wt % can 145.1 over 0-25 N dynamic impact (i.e., 0 ∼ 250 kPa pressure), together an detection limit dB 0.02 Pa.

Язык: Английский

Процитировано

0

3D Successive Nanoscale Interactions‐Driven Mechanoreceptors with Broad Linear Range and Ultra‐High Sensitivity for Efficient Gesture Recognition DOI

Chenling Wu,

Sen Zhang, Yi Wang

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract Wearable biosensing systems for monitoring daily human activities have been extensively investigated by researchers of human–machine interactions. However, the transmission biomechanical signals is degraded owing to limitations arising from non‐ideal characteristics hardware, which obstructs precise recognition motions sensing and practical applications. In this study, we demonstrates, first time, 3D successive nanoscale interaction‐driven artificial slow‐adapting (SA) mechanoreceptors develop a system integrated with sensing, learning, computational functionalities efficient sign‐language detection translation. Specifically, nanocellular graphene (GN) high conductivity 1.26 × 10 4 S m −1 constructed via submicron porous template‐assisted synthesis. More importantly, leveraging unique conductive networks driven interactions SA mechanoreceptors, co‐optimization sensitivity (gauge factor = 242) linear operating range achieved, unlike case foam GN sensors. An (ABSS) based on arrays machine‐learning algorithms achieves real‐time gesture 98.8% accuracy. This design strategy may provide new path toward high‐performance ABSS fabrication, thus enabling potential applications in fields such as human–computer interaction, virtual reality, healthcare.

Язык: Английский

Процитировано

0

Highly Programmable Haptic Decoding and Self‐Adaptive Spatiotemporal Feedback Toward Embodied Intelligence DOI

Wansheng Lin,

Yijing Xu,

Shifan Yu

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Abstract Intelligent robots, equipped with perception, cognition, and learning capabilities, are transforming the manner by which complex tasks approached, enhancing autonomy, efficiency, adaptability. By contrast, conventional robotics typically struggle precision reliability in such as grasping recognition owing to their limited sensing feedback mechanisms. To achieve advanced applications, robots require sophisticated spatiotemporal adjust actions dynamically, poses a significant challenge pressure‐decoupling capability. Herein, high‐performance programmable event‐driven (PED) haptic interface real‐time, self‐regulating feedback, empowering dynamic adaptation force optimization is introduced. The PED features gradient pyramid metasurface‐like structure, emulates perception of human skin decode tactile data. Compared devices, offers improvements detection range sensitivity 300% 350%, respectively. integrating cutting‐edge technology artificial intelligence, conceptualized intelligent agent developed that autonomously understands unstructured environments avoid self‐damage or object damage without external intervention. This breakthrough not only new research avenues but also significantly advances foundation embodied particularly simulating cognition.

Язык: Английский

Процитировано

0

Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition DOI Creative Commons
Yikai Wu, Jinpeng Wang, Can Wang

и другие.

Advanced Intelligent Systems, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Gesture recognition utilizing flexible strain sensors is widely applied in human–machine interfaces. However, it limited to strict environmental requirements and inadequate accuracy. Herein, a sensor developed based on microfluidics using back propagation (BP) neural network for highly accurate gesture recognition. The microfibers are achieved with stretchable polyurethane shells conductive liquid metal cores convenient, safe, effective way. Further, by combining 3D printing microfluidics, the microfiber units constructed. Because of great advantages mechanical electrical performance units, shows impressive stretching conductivity. When finger, converts bending deformation into signals directly. Thus, set attached five fingers record corresponding different gestures, which can be further analyzed To improve accuracy, combined BP network. With introduced input layer as characteristic values training set, high‐precision updating weights through training. This strategy has broad application potential biomedicine, aerospace, other fields.

Язык: Английский

Процитировано

0

The structure, material and performance of multi-functional tactile sensor and its application in robot field: A review DOI
Tianwei Liang, Zirui Liu, Hao Zhang

и другие.

Materials Today, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Seamless Integration of Adaptive Sensing Layers in Ornithopter Structures for Enhanced Motion Monitoring DOI
You Wu, Lizhong Dong, Xinhao Liu

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Апрель 21, 2025

Abstract Integrating perception function in structural components of smart robots for motion monitoring is highly needed but still challenging due to the deformation limitations rigid sensing materials and viscoelastic hysteresis flexible materials. The seamless integration a lightweight adaptive composite layer on structure support reported at leading edge bird‐like ornithopter monitoring. This perception‐integrated component designed by firmly wrapping carbon fiber reinforced plastics (CFRP) rod core sequence with polyacrylonitrile (PAN) nanofiber network, an MXene/carbon nanotubes (CNT) thin conductive layer, thermoplastic polyurethane protection sheath. piezoresistive MXene/CNT effectively adapts trace changes CFRP help PAN achieving bend component. More importantly, enabled flight attitude reproduction damage warning actual ornithopter. work provides promising solutions advancing development future ornithopters, paving way more intelligent, compact, designs.

Язык: Английский

Процитировано

0

Ultrastretchable, Ultralow Hysteresis, High-Toughness Hydrogel Strain Sensor for Pressure Recognition with Deep Learning DOI
Wei‐Chen Huang, Yinglin Wang,

Fanchen Luo

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(37), С. 49834 - 49844

Опубликована: Сен. 4, 2024

Hydrogel, as a promising material for wide range of applications, has demonstrated considerable potential use in flexible wearable devices and engineering technologies. However, simultaneously realizing the ultrastretchability, low hysteresis, high toughness hydrogels is still great challenge. Here, we present dual physically cross-linked polyacrylamide (PAM)/sodium hyaluronate (HA)/montmorillonite (MMT) hydrogel. The introduction HA increases degree chain entanglement, addition MMT acts stress dissipation center cross-linking agent, resulting hydrogel with hysteretic properties. This synthesized by simple strategy exhibited ultrahigh stretchability (3165%), breaking (228 kPa), (4.149 MJ/m

Язык: Английский

Процитировано

3

Wearable Pressure Sensor Based on the Melamine Formaldehyde Resin Sponge with Graphene/MWCNTs/PDMS for Medical Assisting of Patients with Amyotrophic Lateral Sclerosis DOI
Xiaohui Guo, Jiangtao Hu, Qiang Long

и другие.

ACS Applied Nano Materials, Год журнала: 2024, Номер 7(20), С. 24037 - 24048

Опубликована: Окт. 10, 2024

Amyotrophic lateral sclerosis (ALS) is a fatal degenerative disease of the central nervous system characterized by progressive muscle weakness over time and space. Assessing severity patient's condition establishing effective communication strategies postloss speech are vital for providing optimal care to ALS patients. In this article, capacitive pressure sensor based on melamine formaldehyde resin sponge (MFRS) graphene/MWCNTs/PDMS mixture proposed. The MFRS (MFRSPS) boasts good sensitivity (0.22 kPa–1), wide range (0–500 kPa), rapid response/relaxation (45 ms/45 ms), low detection limit (7 Pa). Additionally, it exhibits robust temperature resistance repeatability (600 cycles under various pressures). Leveraging impressive performance MFRSPS, two distinct systems have been designed patients: medical assistive Morse code representation system. aids in diagnosing disease, while facilitates with outside world. This work provides an method accessing patients, supporting their rehabilitation enabling external environment.

Язык: Английский

Процитировано

2

Nerve‐Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele‐Healthcare DOI Creative Commons
Tianliang Li,

Qian’ao Wang,

Zhanghua Cao

и другие.

Advanced Science, Год журнала: 2024, Номер unknown

Опубликована: Дек. 4, 2024

Abstract Flexible strain monitoring of hand and joint muscle movement is recognized as an effective method for the diagnosis rehabilitation neurological diseases such stroke Parkinson's disease. However, balancing high sensitivity large strain, improving wearing comfort, solving separation treatment are important challenges further building tele‐healthcare systems. Herein, a hydrogel‐based optical waveguide stretchable (HOWS) sensor proposed in this paper. A double network structure adopted to allow HOWS exhibit stretchability tensile up 600% 0.685 mV % −1 . Additionally, flexible smart bionic fabric embedding sensor, produced through warp weft knitting, significantly enhances comfort. small circuit board prepared enable wireless signal transmission designed thereby daily portability. speech recognition human‐machine interaction system, based on acquisition, constructed, convolutional neural algorithm integrated disease assessment. By integrating sensing, transmission, artificial intelligence (AI), system sensors demonstrated hold great potential early warning diseases.

Язык: Английский

Процитировано

2

High‐Performance Bimodal Temperature/Pressure Tactile Sensor Based on Lamellar CNT/MXene/Cellulose Nanofibers Aerogel with Enhanced Multifunctionality DOI Open Access
Lin Tian,

Fu‐Lin Gao,

Yu‐Xiao Li

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Abstract The rapid development of thermoelectric‐piezoresistive dual‐mode sensors has opened new avenues for enhancing the functionality, miniaturization, and integration flexible tactile sensors. However, existing research primarily focuses on decoupling temperature pressure responses, which leaves a significant gap in optimizing sensor performance exploring multifunctional applications. To address this limitation, composite aerogel with layered porous structure is developed, integrating carbon nanotubes MXene as conductive materials reinforced cellulose nanofibers. innovative design, characterized by ultra‐low thermal conductivity along superior electrical thermoelectric properties, allows resulting to monitor stimuli without interference through piezoresistive mechanisms. Demonstrated results reveal exceptional sensing capabilities, including minimum detectable variation 0.03 K detection limit 0.3 Pa. exhibits high sensitivities 33.5 µV −1 −45.2% kPa , stability across both stimuli. Furthermore, unique multi‐modal mechanism supports various applications, such energy harvesting, material recognition, complex information transmission, smart wearable devices, electronic skin, human‐computer interaction interfaces. This presents robust solution designing high‐performance dual‐modal significantly advances their practical applications multiple domains.

Язык: Английский

Процитировано

2