104 results match your criteria: "Electrical Engineering Institute[Affiliation]"

Effects of Varying Nano-Montmorillonoid Content on the Epoxy Dielectric Conductivity.

Molecules

September 2024

Mechanical and Electrical Engineering Institute, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China.

This study investigates the correlation between the interface structure and macroscopic dielectric properties of polymer-based nanocomposite materials. Utilizing bisphenol-A (BPA) epoxy resin (EP) as the polymer matrix and the commonly employed layered phyllosilicate montmorillonoid (MMT) as the nanometer-scale dispersive phase, nano-MMT/EP composites were synthesized using composite technology. The microstructure of the composite samples was characterized through XRD, FTIR, SEM, and TEM.

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Precision processing of monocrystalline silicon presents significant challenges due to its unique crystal structure and chemical properties. Effective modeling and simulation are essential for advancing the understanding of the manufacturing process, optimizing design, and refining production parameters to enhance product quality and performance. This review provides a comprehensive analysis of the modeling and simulation techniques applied in the precision machining of monocrystalline silicon using diamond wire sawing.

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Functional and esthetic results require accurate implant placement. We aimed to develop a predictive method for assessing guide layout and error on implant accuracy. A mathematical model for position error analysis was constructed based on triangular mesh data.

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TanhReLU -based convolutional neural networks for MDD classification.

Front Psychiatry

May 2024

Computer School (Huangshi Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence), Hubei Polytechnic University, Huangshi, China.

Major Depression Disorder (MDD), a complex mental health disorder, poses significant challenges in accurate diagnosis. In addressing the issue of gradient vanishing in the classification of MDD using current data-driven electroencephalogram (EEG) data, this study introduces a TanhReLU-based Convolutional Neural Network (CNN). By integrating the TanhReLU activation function, which combines the characteristics of the hyperbolic tangent (Tanh) and rectified linear unit (ReLU) activations, the model aims to improve performance in identifying patterns associated with MDD while alleviating the issue of model overfitting and gradient vanishing.

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In this research, a molecular dynamics (MD) model was adopted to investigate the essence of the effect of strain rate on the mechanical behavior of the Fe14.6Ni (at%) elastocaloric refrigeration alloy. The study showed that the mechanical behavior of the Fe14.

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Application and Research Status of Long-Wavelength Fluorescent Carbon Dots.

Molecules

November 2023

Mechanical and Electrical Engineering Institute, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China.

This article discusses the application and research status of long-wavelength fluorescent carbon dots. Currently, there are two main methods for synthesising carbon dots (CDs), either from top to bottom, according to the bulk material, or from bottom to top, according to the small molecules. In previous research, mainly graphite and carbon fibres were used as raw materials with which to prepare CDs, using methods such as arc discharge, laser corrosion, and electrochemistry.

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AC current shunts are used for precise current measurements. The application of AC current shunts requires that their amplitude phase characteristics are known. A group of three geometrically identical current shunts and a reference shunt are observed in this paper.

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Article Synopsis
  • The study addresses the low yield rate of large, irregular glass components in vehicles caused by stress and dimension deviations during glass molding.
  • A numerical model was created to analyze molding quality factors, particularly focusing on the impact of molding temperature and pressure on energy consumption and dimensional accuracy.
  • The optimization algorithm NSGA-II identified the best molding conditions, which were experimentally verified to have a predictive error under 20%, confirming the model's effectiveness for future precision molding applications.
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Recent Advances in Precision Diamond Wire Sawing Monocrystalline Silicon.

Micromachines (Basel)

July 2023

Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

Article Synopsis
  • Diamond wire sawing (DWS) is essential for cutting brittle silicon wafers in solar cell production, and understanding cutting parameters is key to improving production yield.
  • Various methods like mathematical models, molecular dynamics, and finite element analysis are compared to study the principles of DWS and its effect on material removal rate (MRR) as well as surface quality of silicon wafers.
  • The research also examines advanced assisted machining methods (ultrasonic, electrical discharge, and electrochemical) and discusses their processing performance, while outlining future opportunities for enhancing DWS technology in precision silicon machining.
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The aim of this study is to propose a test method for the determination of the quality of transformer paper insulation. For this purpose, the oil/cellulose insulation systems were exposed to various accelerated aging tests. The results of the aging experiments of normal Kraft and thermally upgraded papers, two different types of transformer oil (mineral and natural ester), and copper are shown.

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Elemental sulfur (S) is a corrosive sulfur compound which was found to be extremely reactive to silver, causing intensive silver sulfide (AgS) deposition on on-load tap changer (OLTC) contacts in power transformers. A highly selective adsorbent (HSA), called Tesla'Ssorb, for the removal of S from mineral insulating oils was prepared from raw material (RM) using the novel procedure. In this study, the adsorption properties of HSA for the removal of S from the oil were determined.

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Laser-guided lightning.

Nat Photonics

January 2023

Groupe de Physique Appliquée, Université de Genève, Geneva, Switzerland.

Lightning discharges between charged clouds and the Earth's surface are responsible for considerable damages and casualties. It is therefore important to develop better protection methods in addition to the traditional Franklin rod. Here we present the first demonstration that laser-induced filaments-formed in the sky by short and intense laser pulses-can guide lightning discharges over considerable distances.

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Straight bevel gears are widely used in mining equipment, ships, heavy industrial equipment, and other fields due to their high capacity and robust transmission. Accurate measurements are essential in order to determine the quality of bevel gears. We propose a method for measuring the accuracy of the top surface profile of the straight bevel gear teeth based on binocular visual technology, computer graphics, error theory, and statistical calculations.

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Article Synopsis
  • Monolayer MoS is recognized for its potential as an n-type semiconductor, but creating controllable p-type MoS is challenging and essential for advanced electronics.
  • This study presents the successful synthesis of NbS-MoS lateral heterostructures using a one-step method, which leads to p-type behavior with a high on/off current ratio of around 10.
  • The research enhances understanding of the band structure in these heterojunctions and offers scalable methods for creating doped transition metal dichalcogenide materials, supporting future nanoelectronics development.
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Sunlight is widely seen as one of the most abundant forms of renewable energy, with photovoltaic cells based on pn junctions being the most commonly used platform attempting to harness it. Unlike in conventional photovoltaic cells, the bulk photovoltaic effect (BPVE) allows for the generation of photocurrent and photovoltage in a single material without the need to engineer a pn junction and create a built-in electric field, thus offering a solution that can potentially exceed the Shockley-Queisser efficiency limit. However, it requires a material with no inversion symmetry and is therefore absent in centrosymmetric materials.

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As novel fluorescent nanomaterials, carbon dots have attracted increasing research attention because of their simple synthesis, robust fluorescence, low toxicity, and easy functionalisation. Previous research was focused on preparing carbon dots from biomass and chemical materials; however, most of these carbon dots exhibited blue fluorescence. Moreover, the fluorescence quantum yield was generally low, significantly limiting their application in biological imaging.

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Progress in Laser Ablation and Biological Synthesis Processes: "Top-Down" and "Bottom-Up" Approaches for the Green Synthesis of Au/Ag Nanoparticles.

Int J Mol Sci

November 2022

Henan Key Lab of Intelligent Manufacturing of Mechanical Equipment, Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

Because of their small size and large specific surface area, nanoparticles (NPs) have special properties that are different from bulk materials. In particular, Au/Ag NPs have been intensively studied for a long time, especially for biomedical applications. Thereafter, they played a significant role in the fields of biology, medical testing, optical imaging, energy and catalysis, MRI contrast agents, tumor diagnosis and treatment, environmental protection, and so on.

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Research Progress of Polymers/Inorganic Nanocomposite Electrical Insulating Materials.

Molecules

November 2022

Mechanical and Electrical Engineering Institute, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528400, China.

With the rapid development of power, energy, electronic information, rail transit, and aerospace industries, nanocomposite electrical insulating materials have been begun to be widely used as new materials. Polymer/inorganic nanocomposite dielectric materials possess excellent physical and mechanical properties. In addition, numerous unique properties, such as electricity, thermal, sound, light, and magnetic properties are exhibited by these materials.

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Wafer-scale MoS with water-vapor assisted showerhead MOCVD.

Nanoscale Adv

October 2022

Laboratory of Nanoscale Biology, Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne (EPFL) Lausanne 1015 Switzerland

Among numerous thin film synthesis methods, metalorganic chemical vapor deposition performed in a showerhead reactor is the most promising one for broad use in scalable and commercially adaptable two-dimensional material synthesis processes. Adapting the most efficient monolayer growth methodologies from tube-furnace systems to vertical-showerhead geometries allows us to overcome the intrinsic process limitations and improve the overall monolayer yield quality. Here, we demonstrate large-area, monolayer molybdenum disulphide growth by combining gas-phase precursor supply with unique tube-furnace approaches of utilizing sodium molybdate pre-seeding solution spincoated on a substrate along with water vapor added during the growth step.

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Objective: The objective of the study was to find the most effective retracting method for the six maxillary anterior teeth with double-slot lingual brackets using a lever arm and miniscrew system.

Methods: Six finite element models were constructed: (A) a ribbon-wise archwire with a lever arm; (B) a ribbon-wise archwire with a lever arm and a sectional edgewise archwire; (C) a ribbon-wise archwire and a sectional edgewise archwire with a lever arm; (D) an edgewise archwire with a lever arm; (E) an edgewise archwire with a lever arm and a sectional ribbon-wise archwire; and (F) an edgewise archwire and a sectional ribbon-wise archwire with a lever arm. Initial displacements of maxillary teeth driven by a 1.

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Article Synopsis
  • Large-area nanopore drilling is a challenging step in creating nanoporous 2D membranes, crucial for applications like filtration and power generation.
  • This study explores using a Xe-ion focused ion beam for scalable nanopore fabrication on molybdenum disulfide, allowing for custom porosity and consistent quality across large areas.
  • The research combines experimental techniques with computational modeling to predict how these membranes will perform, specifically investigating their water and ion flow properties through advanced simulations.
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The purpose of this study was to investigate the state estimation problem for the multisensor descriptor fractional systems. Firstly, the descriptor fractional order system was transformed into two nondescriptor fractional order subsystem based on the singular value decomposition method; then, the descriptor fractional Kalman filters for the subsystems were proposed based on projection theory, which effectively solved the state estimation problem of the descriptor fractional order system with singular matrix; on this basis, the track fusion fractional Kalman filter of the multisensor descriptor fractional system is proposed by using the track fusion algorithm. The state estimation accuracy of multisensor descriptor fractional order systems is greatly improved.

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Cooperative perception, as a critical technology of intelligent connected vehicles, aims to use wireless communication technology to interact and fuse environmental information obtained by edge nodes with local perception information, which can improve vehicle perception accuracy, reduce latency, and eliminate perception blind spots. It has become a current research hotspot. Based on the analysis of the related literature on the Internet of vehicles (IoV), this paper summarizes the multi-sensor information fusion method, information sharing strategy, and communication technology of autonomous driving cooperative perception technology in the IoV environment.

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Study of the Electrical Conductivity Characteristics of Micro and Nano-ZnO/LDPE Composites.

Molecules

June 2022

Mechanical and Electrical Engineering Institute, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528400, China.

Polyethylene, a thermoplastic resin made by ethylene polymerization, is widely used in electrical insulation. In this study, low-density polyethylene (LDPE) is used as a matrix with micro- and nano-ZnO particles as a filler to produce different proportions of micro- and nano-ZnO composites by melt blending. These samples are characterized by Polarized Light Microscopy (PLM) and FTIR tests, with their conductance measured under different field strengths.

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Article Synopsis
  • The paper presents a hybrid intelligent process model that combines the two-temperature model (TTM) and molecular dynamics simulation (MDS) for analyzing metal films during short-pulse laser melting.
  • It constructs a model for the single-spark micro-electrical discharge machining (micro-EDM) process to predict key metrics like removed depth (RD) and material removal rate (MRR) using the TTM-MDS framework.
  • A Gaussian process regression (GPR) model is introduced to analyze the relationship between process parameters and outputs, demonstrating accurate predictions for micro-EDM machining outcomes based on the numerical simulations.
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