A5020773021- Metallurgical Processes and Thermodynamics
- Fluid Dynamics and Mixing
- Time Series Analysis and Forecasting
- Fault Detection and Control Systems
- Iron and Steelmaking Processes
- Minerals Flotation and Separation Techniques
- Industrial Technology and Control Systems
- Anomaly Detection Techniques and Applications
- Nuclear Engineering Thermal-Hydraulics
- Metal Extraction and Bioleaching
- Advanced Algorithms and Applications
- Medical Image Segmentation Techniques
- Chemical and Environmental Engineering Research
- Network Security and Intrusion Detection
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Fluid Dynamics and Heat Transfer
- Particle Dynamics in Fluid Flows
- Radiative Heat Transfer Studies
- Advanced Control Systems Optimization
- Flow Measurement and Analysis
- Neural Networks and Applications
- Advanced Measurement and Detection Methods
- Mineral Processing and Grinding
- Heat Transfer Mechanisms
- Extenics and Innovation Methods
Central South University
2013-2024
High efficiency and clean emission operation of a blast furnace are mainly determined by its operating stability, which is closely related to the position cohesive zone (CZ) in furnace. In order monitor CZ real time, prediction model was proposed combining an off-line computational fluid dynamics (CFD) calculation support vector machine (SVM) modelling. An axisymmetric two-dimensional steady-state CFD established simulate flow, heat mass transfer shaft. The sample dataset information based...
The key point to achieve automatic control and optimal operation in flotation process is recognize the conditions correctly. By fact that it's difficult detect identify fault antimony process, a condition recognition method based on multi-scale texture features extraction k-means clustering embedding prior knowledge proposed this paper. Firstly, wavelet transform applied froth images, sub-images at different scales are obtained. Then neighboring gray level dependence matrix of calculated,...
The side-blown smelting process is becoming popular in the modern metallurgical industry due to its large potential for dealing with complex materials. To further enhance efficiency, it essential comprehensively understand gas–liquid flow behavior bath. In this study, volume-of-fluid method employed establish computational fluid dynamics modeling on a 1:5 scaled model of furnace. simulation was validated against experimental results. Notably, influences nozzle’s submerged depth, injection...
A mathematical model of the particle heating process in reaction shaft flash smelting furnace was established and calculation performed. The results indicate that radiation plays a significant role heat transfer within first 0.6 m upper part shaft, whilst convection is dominant area below for heating. In order to accelerate ignition, it necessary enhance convection, thus speed up high-speed preheated oxygen jet technology then suggested replace nature gas combustion furnace, aiming create...
Humidity is a key factor affecting proton exchange membrane fuel cell (PEMFC) efficiency and output performance. Different working conditions have different requirements for humidity. Too high or too low water content inside the PEMFC will damage performance even affect life. Therefore, how to control humidity appropriately crucial subject. This paper establishes internal management inlet model, analyzes influence of anode change on through computational fluid dynamics (CFD) simulation. The...
We propose a detector for MLSTBC (Multilayered Space-Time Block Codes), which applies the global optimization to minimize total square error. The proposed compares errors of all signals each possible detection order, choose order with smallest errors. It improves performance existing MLSTBC. With respect MLSTBC, has gain about 0.8 dB at BER=10-2.
To improve the operation level of copper converter, approach to optimal decision making modeling for coppermatte converting process based on data mining is studied: in view characteristics data, such as containing noise, small sample size and so on, a new robust improved ANN (artificial neural network) method proposed; taking into account application purpose model, three evaluation indexes named support, confidence relative are using real production methods mentioned above, model blowing...
This paper analyzed the problems associated with physical exergy splitting, and based on this, presented a new splitting method. method splits into three parts according to feasible working ways, i.e.,: direct, indirect, adaptive exergy. The computational meaning of were in detail terms graphic representation mathematical derivation. Then, it was applied analysis thermal power cycle. results show that compared conventional which mechanical parts, current can better represent change rule...