A5062538782- Advanced machining processes and optimization
- Tunneling and Rock Mechanics
- Drilling and Well Engineering
- Advanced Surface Polishing Techniques
- Metal and Thin Film Mechanics
- Rock Mechanics and Modeling
- Advanced ceramic materials synthesis
- Mineral Processing and Grinding
- Force Microscopy Techniques and Applications
- Remote Sensing and LiDAR Applications
- Analytical Chemistry and Sensors
- Thermoelastic and Magnetoelastic Phenomena
- Underwater Vehicles and Communication Systems
- MXene and MAX Phase Materials
- Seismic Imaging and Inversion Techniques
- Magnetic Properties and Applications
- Fluid Dynamics Simulations and Interactions
- Infrastructure Maintenance and Monitoring
- Fault Detection and Control Systems
- 2D Materials and Applications
- Image and Signal Denoising Methods
- EEG and Brain-Computer Interfaces
- Non-Destructive Testing Techniques
- Nanomaterials and Printing Technologies
- Tropical and Extratropical Cyclones Research
Huanghe Science and Technology College
2022-2024
Tianjin University of Technology
2023
Zhengzhou University of Science and Technology
2021
East China University of Science and Technology
2016
UNSW Sydney
2010-2012
University of Wollongong
2008
Advanced ceramics, such as alumina and zirconia, are widely used in modern industries, due to their superior properties, high hardness strength. Fracture toughness is a significant property that describes the capability of materials resist crack instability expansion failure, also helps when calculating allowable working stress, size, component. This paper comprehensively lists current toughness-testing methods. With comparative investigations various methods, edge chipping found be simplest...
Abstract. Non-destructive stress measurement is necessary to provide safety maintenance in some extreme machining environments. This paper reports a case study that reveals the potential application of automatic metal monitoring with aid magnetic Barkhausen noise (MBN) signal and deep learning algorithms (convolutional neural network, CNN, long short-term memory, LSTM). Specifically, we applied experimental signals from steel samples validate feasibility efficiency two models for prediction....
Overcoming the low fabricating efficiency of traditional chemical mechanical polishing (CMP) for Gallium nitride (GaN) is a challenge owing to its high hardness, brittleness, and inertness. Here, electrochemical etching proposed increase material removal rate acquire high-quality surface on GaN wafers. To reveal synergistic mechanism oxidizing agent corrosion inhibitor wafers, experiments were carried out. The optimal solution contained 4 wt% H 2 O 10 mmol l −1 purified terephthalic acid....
Aerosol jet printing (AJP) is a straightforward write–fabrication technique with high resolution, design flexibility, and integration capabilities [...]
Advanced structural materials have been widely used in modern industries, such as mining, building, aerospace, chip manufacturing and surface engineering [...]
Concrete wastewater from mixing stations leads to environment contamination due its high alkalinity. The can be reused if solid content is accurately and timely detected. However, investigations into the traditional methods for reuse have demonstrated that they are time consuming not efficient. Therefore, exact acquirement of in concrete becomes a necessity. Recent studies shown deep learning has been successfully applied detect concentration chemical solutions particle suspending liquid....
The collected seismic data are highly contaminated due to random noise such as ambient noise, high and low frequency instrument self-noise, which in turn affects the subsequent processing process. With success of deep learning image reduction, application reduction has also obtained better results than traditional methods. In this paper, we propose a method for based on subspace projection fast Fourier convolution (FFC). uses divide channel into two branches, local global, after...
In this paper, we propose an Electrocardiogram (ECG) classification model based on FFC (Fast Fourier Convolution) and ResNet. The utilizes ResNet for feature extraction classification. We further improve the network performance convergence speed through batch normalization residual concatenation. experimental results demonstrate that exhibits excellent under different data distributions in PTB-XL database trains faster than traditional models. Additionally, introduce a new module, FFC-R,...
This paper investigates experimentally the edge chipping of a rock to assess cutting performance conical and pyramidal tip. It was found that tip generates many radiated cracks results in larger amount fine grains due crashing. The size chips produced by is bigger. concluded critical energy has approximately linear relation with h9/4 which h depth cut
In this paper, based on the chemo-thermo-poroelasticity model of saturated porous medium undergoing local thermal non-equilibrium (LTNE) conditions, pore pressure and chemo-thermal stresses around a cylindrical hole in an infinite fluid subjected to sudden variations for temperature solute mole fraction boundary are investigated by employing Laplace transform technique numerical method.The results show that dominantly affected chemical effect rather than when variation change together, LTNE...
The trade-offs between wetland and cropland generate new challenges in understanding the balance humanity nature regarding global carbon cycle, biological diversity, food supplies [...]