A5018453094- Microstructure and mechanical properties
- Aluminum Alloys Composites Properties
- Tunneling and Rock Mechanics
- Drilling and Well Engineering
- Graphene research and applications
- Aluminum Alloy Microstructure Properties
- Metal and Thin Film Mechanics
- Toxic Organic Pollutants Impact
- Microbial Metabolic Engineering and Bioproduction
- Advanced Surface Polishing Techniques
- Silicon Carbide Semiconductor Technologies
- Enzyme Catalysis and Immobilization
- Induction Heating and Inverter Technology
- Electron and X-Ray Spectroscopy Techniques
- Diamond and Carbon-based Materials Research
- Nanoporous metals and alloys
- Electromagnetic Compatibility and Noise Suppression
- Marine and coastal ecosystems
- Lipid metabolism and biosynthesis
- Biofuel production and bioconversion
- Electromagnetic wave absorption materials
- Heavy metals in environment
- Carbon Nanotubes in Composites
- Remote Sensing and Land Use
- MXene and MAX Phase Materials
University of Science and Technology Beijing
2022-2024
China Railway Construction Corporation (China)
2022-2024
Shenzhen Polytechnic
2024
Xidian University
2024
Nanjing Forestry University
2020-2024
China Academy of Engineering Physics
2024
People’s Hospital of Rizhao
2024
Beijing University of Technology
2023
Shanghai Jiao Tong University
2023
Bozhou People's Hospital
2022-2023
How to effectively regulate the electromagnetic parameters of magnetic composites achieve better microwave absorption (MA) performances is still a serious challenge. Herein, we constructed nanocomposites composed constituents and carbon materials obtain high-efficiency wave absorbers. Self-assembled, multi-interfacial, porous RGO/MWCNT/Fe3O4 hybrids (GMFs) were synthesized via in situ one-pot solvothermal method. The growth mechanism GMFs would be that defects on reduced graphene oxide (RGO)...
Due to their excellent mechanical properties and large specific surface area, graphene its derivatives are widely used in metal matrix composites as reinforcements. In this study, the thermal reduction behavior of large-size oxide investigated systematically, reduced (RGO) with few residual oxygen groups good structural integrity is obtained. ZK61 varying content situ RGO fabricated using semi-powder metallurgy method. The results reveal that addition can cause refinement grains second...
In the evolving landscape of autonomous systems, integration unmanned aerial vehicles (UAVs) and ground (UGVs) has emerged as a promising solution for improving localization accuracy operational efficiency diverse applications. This study introduces an Information Consensus Filter (ICF)-based decentralized control system UAVs, incorporating Control Barrier Function–Control Lyapunov Function (CBF–CLF) strategy aimed at enhancing safety efficiency. At core our approach lies ICF-based algorithm...
In the field of remote sensing (RS), change detection (CD) methods are critical for analyzing quality images shot over various geographical areas, particularly high-resolution images. However, there some shortcomings widely used Convolutional Neural Networks (CNNs) and Transformers-based CD methods. The former is limited by its insufficient long-range modeling capabilities, while latter hampered computational complexity. Additionally, commonly information-fusion pre- post-change often lead...
Cutterhead is the key component of mega shaft boring machine (SBM), whose complex structure and huge size lead to high manufacturing difficulty cost, its reliability difficult guarantee under loads. It design cutterhead only referring existing small horizontal tunnel cutterhead. In order brainstorm innovative ideas, paper incorporates TRIZ into AD address following issues. Firstly, engineering conflicts in designing process are eliminated by tools generating ideas. Then, decomposition...
In this work, we developed a single-step process to cast epoxy composites having high thermal conductivity but low electric conductivity.
Functionalized graphene (G-MA) was prepared by a facile wet ball milling strategy, which achieved exfoliation and functionalization of graphite simultaneously.
TBM tunnel surrounding rock classification is a key indicator for supporting decision-making and ensuring safe construction. And predicting the type accurately in advance of great significance intelligent This paper established model based on support vector machine (LIBSVM), including preprocesses historical tunneling parameters, extracts data information that can reflect relationship between machine, analyzes correlation different parameters categories, obtains highly relevant parameters....