An Electrode‐Grounded Droplet‐Based Electricity Generator (EG‐DEG) for Liquid Motion Monitoring

Yang, Lei; Yu, Jian; Guo, Yanjie; Chen, Sicheng; Tan, Kai Liang; Li, Sheng

doi:10.1002/adfm.202302147

Cited by 25 publications

(10 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, our sensor does not require additional packaging. Unlike other sensors that are encapsulated and connected with polyimide film tape, − during the printing process, the encapsulating ink spreads under tension and effectively wraps the wires along with the conductive pathway. This feature significantly increases the stability of our sensor under normal compression conditions.…”

Section: Resultsmentioning

confidence: 99%

Pressure-Activatable Liquid Metal Composites Flexible Sensor with Antifouling and Drag Reduction Functional Surface

Ma,

Lu,

et al. 2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

Flexible sensors produced through three-dimensional (3D) printing have exhibited promising results in the context of underwater sensing detection (for applications in navigational vehicles and human activities). However, underwater vehicles and activities such as swimming and diving are highly susceptible to drag, which can cause negative impacts such as reduced speed and increased energy consumption. Additionally, microbial adhesion can shorten the service life of these vehicles. However, natural organisms are able to circumvent such problems, with shark skin offering excellent barrier properties and ruffled papillae providing effective protection against fouling. Here, we show that a sandwich system consisting of a spraying layer, conductive elastomer composite, and encapsulation layer can be printed for multifunctional integrated underwater sensors. The modulated viscoelastic properties of liquid metal form the foundation for printing features, while its pressure-activated properties offer the potential for switchable sensors. An integrated drag reduction and antifouling layer were created by combining the shark skin surface shield scale structure with the lotus leaf surface papillae structure. A 3D-printed flexible sensor was designed using our approach to monitor attitude changes and strain in underwater environments, showcasing its capabilities. Our printed sensors can reduce biological attachment density by more than 50% and reduce underwater drag by 8.6−10.3%.

show abstract

Section: Resultsmentioning

confidence: 99%

Pressure-Activatable Liquid Metal Composites Flexible Sensor with Antifouling and Drag Reduction Functional Surface

Ma,

Lu,

et al. 2023

ACS Appl. Mater. Interfaces

View full text Add to dashboard Cite

show abstract

“…With the extensive implementation of renewable energy sources (RES) in the utility grid and breakthroughs in new technologies [1], the system protection scheme is becoming more complex and demanding. Protection systems in networks are a critical component that ensures the safe and reliable operation of the entire power grid [2].…”

Section: Introductionmentioning

confidence: 99%

Voltage Frequency Differential Protection Algorithm

Matišić,

Antić,

Havelka

et al. 2024

Energies

View full text Add to dashboard Cite

Advancements in new technologies, a reduction in CO2 emissions, and the rising demand for energy are causing a growth in the share of renewable energy sources. In distribution networks, an increasing number of distributed generators (DGs) makes the utility grid’s protection complex and demanding. Vector surge and rate-of-change-of-frequency are the established anti-islanding protection methods, recognizing that the standard paradigm for protection, involving distributed generation, cannot be set only once but has to be continuously updated following the requirements and changes in the system. One of the requirements is active participation in the preservation of system frequency and voltage, which can be interrupted if the DG trips and disconnects from the utility grid. Anti-islanding protection and spurious tripping can be avoided by implementing new algorithms and techniques. This paper presents a novel protection scheme based on a voltage frequency differential. The proposed algorithm employs remote and local frequency measurements in such a manner that, for the occurrence of a frequency difference, it is assumed that the DG is in an islanding state. In this article, we demonstrate the feasibility of the algorithm through numerical analysis of grid events and laboratory testing emulating real grid-measured values. The test results show that the algorithm is resilient to false tripping for non-islanding events and more reliable than conventional methods in islanding detection. The algorithm can be set to low-frequency differential values, drastically reducing the non-detection zone in any DG type, regardless of its size and voltage level at the point of common coupling. Unlike standard anti-islanding methods, the algorithm supports the ability of the DG to fault-ride through demand.

show abstract

“…This process enhanced the representation richness and ensured low-dimensional feature utilization. Moreover, Yang et al [34] proposed the combination of an Electrode-Grounded Droplet-based Electricity Generator (EG-DEG) and a Graphene Sheet-Embedded Sensors 2024, 24, 1663 3 of 25 Carbon (GSEC) electrode to monitor droplet velocities on different triboelectric surfaces. In addition, Li et al [35] proposed a model consisting of the combination of an SSD metastructure and the lightweight network MobileNet.…”

Section: Introductionmentioning

confidence: 99%

Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features

Zhang,

Cheng

et al. 2024

Sensors

View full text Add to dashboard Cite

Casting defects in turbine blades can significantly reduce an aero-engine’s service life and cause secondary damage to the blades when exposed to harsh environments. Therefore, casting defect detection plays a crucial role in enhancing aircraft performance. Existing defect detection methods face challenges in effectively detecting multi-scale defects and handling imbalanced datasets, leading to unsatisfactory defect detection results. In this work, a novel blade defect detection method is proposed. This method is based on a detection transformer with a multi-scale fusion attention mechanism, considering comprehensive features. Firstly, a novel joint data augmentation (JDA) method is constructed to alleviate the imbalanced dataset issue by effectively increasing the number of sample data. Then, an attention-based channel-adaptive weighting (ACAW) feature enhancement module is established to fully apply complementary information among different feature channels, and further refine feature representations. Consequently, a multi-scale feature fusion (MFF) module is proposed to integrate high-dimensional semantic information and low-level representation features, enhancing multi-scale defect detection precision. Moreover, R-Focal loss is developed in an MFF attention-based DEtection TRansformer (DETR) to further solve the issue of imbalanced datasets and accelerate model convergence using the random hyper-parameters search strategy. An aero-engine turbine blade defect X-ray (ATBDX) image dataset is applied to validate the proposed method. The comparative results demonstrate that this proposed method can effectively integrate multi-scale image features and enhance multi-scale defect detection precision.

show abstract

An Electrode‐Grounded Droplet‐Based Electricity Generator (EG‐DEG) for Liquid Motion Monitoring

Cited by 25 publications

References 46 publications

Pressure-Activatable Liquid Metal Composites Flexible Sensor with Antifouling and Drag Reduction Functional Surface

Pressure-Activatable Liquid Metal Composites Flexible Sensor with Antifouling and Drag Reduction Functional Surface

Voltage Frequency Differential Protection Algorithm

Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features

Contact Info

Product

Resources

About