A5022421445- Iron and Steelmaking Processes
- Catalytic Processes in Materials Science
- Metallurgical Processes and Thermodynamics
- Industrial Gas Emission Control
- Metal Extraction and Bioleaching
- Catalysis and Oxidation Reactions
- Mineral Processing and Grinding
- Thermochemical Biomass Conversion Processes
- Advanced Photocatalysis Techniques
- Nanomaterials for catalytic reactions
- Minerals Flotation and Separation Techniques
- Extraction and Separation Processes
- Thermal and Kinetic Analysis
- Gas Sensing Nanomaterials and Sensors
- Recycling and utilization of industrial and municipal waste in materials production
- Adsorption and biosorption for pollutant removal
- Environmental remediation with nanomaterials
- Catalysis and Hydrodesulfurization Studies
- Bauxite Residue and Utilization
- Flame retardant materials and properties
- Industrial Technology and Control Systems
- Recycling and Waste Management Techniques
- Toxic Organic Pollutants Impact
- Chemical Looping and Thermochemical Processes
- Ammonia Synthesis and Nitrogen Reduction
Anhui University of Technology
2016-2025
Anshan Hospital
2021
Changsha Normal University
2018
Fortum (Finland)
2006
Chlorite, as the most representative gangue mineral associated with specularite, of which separation these two minerals is difficult. This paper investigated depression effect taurine on specularite/chlorite via flotation experiments, adsorption tests, contact angle measurements, Zeta potential detection, FT-IR and XPS analyses. The results single indicated that chlorite could be depressed selectively by recovery less than 30%, but floatability specularite remains high rate 81.77% at pH 10....
Surface defect inspection is a key step to ensure the quality of hot rolled steel surface. However, current advanced detection (DET) methods have high precision but low speed, which hinders application detector in actual production. In this work, real-time network (RDN) focusing on both speed and accuracy proposed solve problem surface detection. RDN takes ResNet-dcn, modular encoding, decoding with light weights, as basic convolutional architecture whose backbone pretrained ImageNet. To...
In the process of denitrification, reaction between NO and CO (NO + → N<sub>2</sub> CO<sub>2</sub>) occurs. There will be a redox copper, nickel cerium (Cu<sup>2+</sup> Ce<sup>3+</sup> Cu<sup>+</sup> Ce<sup>4+</sup>, Ni<sup>3+</sup> Ni<sup>2+</sup> Ce<sup>4+</sup>).