A5101468168- Microstructure and Mechanical Properties of Steels
- Metal Alloys Wear and Properties
- Ultrasonics and Acoustic Wave Propagation
- Structural Health Monitoring Techniques
- Advanced Sensor and Energy Harvesting Materials
- Metallurgy and Material Forming
- Microstructure and mechanical properties
- Non-Destructive Testing Techniques
- Mechanical Engineering and Vibrations Research
- Mechanical Behavior of Composites
- Tactile and Sensory Interactions
- Polymer Nanocomposites and Properties
- Electrochemical sensors and biosensors
- Machine Fault Diagnosis Techniques
- Conducting polymers and applications
- Metallurgical Processes and Thermodynamics
- Structural Analysis and Optimization
- biodegradable polymer synthesis and properties
- Fuel Cells and Related Materials
- Chemical Synthesis and Analysis
- Phosphorus compounds and reactions
- Concrete Corrosion and Durability
- Advanced materials and composites
- Chromatography in Natural Products
- Synthetic Organic Chemistry Methods
Inner Mongolia University of Science and Technology
2024-2025
Harbin Engineering University
2025
Ansteel (China)
2024
UNSW Sydney
2023-2024
Qingdao University of Technology
2022-2024
Guilin University of Technology
2023-2024
Harbin Institute of Technology
2023
Suzhou Institute of Biomedical Engineering and Technology
2023
Chinese Academy of Sciences
2023
Tsinghua University
2023
Accidental failures of rotating machinery components such as rolling bearings may trigger the sudden breakdown whole manufacturing system, thus, fault diagnosis is vital in industry to avoid these massive economical costs and casualties. Since convolutional neural networks (CNN) are poor extracting reliable features from original signal data, time-frequency analysis method usually called for transform 1D into a 2D coefficient matrix which richer information could be exposed more easily....
To endow epoxy resins (EPs) with outstanding flame-retardant and smoke-inhibiting effects, a multifunctional nanoparticle (SCP) has been designed prepared via simple approach, wherein Cu2O, melamine, phosphorus-containing flame retardants were successively deposited onto the surface of silica nanospheres. The incorporation low addition amount 2 wt % SCP within EP demonstrates significant improvement in retardancy. This enhancement is evidenced by notable increase limiting oxygen index to...
This study proposes a time-domain spectral finite element (SFE) model and investigates nonlinear guided wave interaction at breathing crack. An extended SFE method based on the Mindlin–Hermann rod Timoshenko beam theory is proposed to predict generation crack simulate mode-conversion effect, in which bilinear mechanism implemented take into account contact nonlinearity There good agreement between results calculated using three-dimensional simulation. demonstrates accuracy of simulating...
Abstract Deep residual networks (DRNs) are a state-of-the-art deep learning model used in the data-driven fault diagnosis field. Their especially architectures give them sufficient capacity to deal with very complex issues. However, neural network excellent performance usually requires hundreds of thousands parameters, which is unaffordable for use current industrial machines due their limited computational resources. To enable practical applications diagnosis, developing methods that can...
Graphdiyne (GDY) was synthesized and for the first time blended with carboxylated multi-walled carbon nanotubes (cMWCNTs) to modify screen-printed electrode (SPE). Electrochemical response of bisphenol A (BPA) at as-proposed studied. And significant reduction oxidation peak potential enhancement current were recorded, showing excellent performance determination BPA. The pH supporting electrolyte, proportion GDY cMWCNTs, modification amount optimized. At optimal conditions, BPA determined by...
In this study, we introduce a novel resistive strain sensor with high sensitivity, excellent linearity, and an ultra-low detection limit by simply modulating ohmic contact within pre-defined conductive cracks.
Cesium tungsten bronzes (CsxWO3), as functional materials with excellent near-infrared shielding properties, demonstrate significant potential for applications in smart windows. However, traditional synthesis methods, such solid-state reactions and solvothermal/hydrothermal approaches, typically require harsh conditions, including high temperatures (above 200 °C), pressure, inert atmospheres, or prolonged reaction times. In this study, we propose an optimized microwave-assisted solvothermal...
ABSTRACT Poly(glycerol sebacate) (PGS) is one of the new elastomers used for soft tissue engineering, while improving its limited mechanical strength biggest challenge. In this work, a novel biodegradable elastomer composite PGS/cellulose nanocrystals (CNCs) was prepared by solution‐casting method and properties, sol–gel contents, crosslink density, hydrophilic performance were characterized. The thermal degradation properties composites also investigated. Results show that addition CNCs...
Soft capacitive sensors present numerous appealing characteristics, including simple structure, low power consumption, and fast response. However, they often suffer from sensitivity a limited linear sensing range. Herein, concept is presented to enhance the linearity of supercapacitive pressure by functionally grading heights macrodomes constructed highly elastic ionic conductive elastomer made poly(vinyl alcohol) phosphoric acid (PVA/H3PO4). The resultant exhibit high (423.42 kPa–1), wide...
Wearable sensors capable of simultaneous monitoring multiple physiological markers have the potential to dramatically reduce healthcare cost through early detection diseases and accelerating rehabilitation processes. These skin-like can deliver significant benefits thanks their ability continuously track various indicators over extended periods. However, due high sensitivities soft stimuli, decoupling effects physical stimuli associated with accurately pinpointing contributions individual...