Start Date : 7 Jul,2024
End Date : 11 Jul,2024
Duration : 5 Days
Price : $ 3,995 ( SAR 14,981.25)
Course Content:
Module # 1. BACKGROUND
- Reheating during steel rolling
- Methods to reduce the fuel cost
- Primary causes of non-optimal furnace operation
- Prior work on reheating furnace control strategies
Module # 2. MODELING REHEATING FURNACE
Line and reheating furnace performances
- Mill layout
- Reheating furnace
- Billets/blooms movement through the reheating furnace
- Cycle time of walking hearth furnaces
- Positions of billets/blooms
Heat balance inside the furnace
Definition of heat transmission
- Temperature differences between billets/blooms
- The unit length of the heating time period is need as follows
- Estimation of billet/bloom temperature
Heat transfer
- Heat transfer from gas to billets/blooms
- Heat transfer coefficient
- Thermal conduction
Thermal Properties of Materials
- Specific heat
- Emissivity/Absorption rate
- Thermal conductivity
Furnace Modeling
- Mesh construction
- Heat balance modeling in each component.
- Heat transmission between billets/blooms and the hearths
- Local temperature of the hearths
- Interaction between billets/bloom
Module # 3. SIMULATION OF THE MODEL
Billet/Bloom initial orders and their parameters
- Operational conditions
- Model of thermal property of material
- Computer specie cation for simulation
Performance of the simulation model
- Trend of simulated temperature
- Difference of simulated sectional temperature
- Heat transmission in billet longitudinal direction
Selection of appropriate mesh size
- Relationship between mesh size and simulated temperature
- Mesh size and time increments
Effect of thermal conductivity on center temperature
- Thermal conductivity effect
- Impact of thermal conductivity on billet temperature
Parameters selection for optimization
- Estimating extraction temperature of billets/blooms
- Selection of model and parameters for reheating furnace control
Module # 4. OPTIMIZATION OF FURNACE OPERATION
Optimization Problem
- Objective function
- Decision variables
- Constraints
- Optimization method
- Outline of the optimization method
- Determining the initial solution
- Unit increment of furnace temperature
- Determination of the schedule matrix and the upper limit of temperature change
- Effective zone and time period targeting for estimating billet temperature changes
- Classed searching for efficient temperature changes
- Updating the feasible region
- Decrease phase
- Final treatment for the optimal control solution
- Initial performance check
Shortening computation time
- Amply and lower limiter for furnace temperature changes
- Selective billet tracking
- Effects of selective tracking, amplifying and lower limiter
Overall Control Performance
- Fundamental example
- Effects of initial furnace temperature
- Effects of inserting billets with higher goal temperatures
- Initial control action when unexpected stoppage occur
- Adjustment of furnace temperature
CONCLUSION
- Conclusion summary
- Insight for better furnace structure based on simulation results
Course Methodology:
The course uses a mix of interactive techniques such as brief presentations by the consultant and the participants, group exercises and case studies. The course also includes live instructions, video presentations, and practical examples & case studies. The trainer uses up-to-date training techniques and a variety of training methods, to give all participants the best opportunities for learning, including:
- Class Session
- Group Discussions
- Case studies
- Simulation
- Evaluation
