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Start Date : 1 Dec,2024
End Date   : 5 Dec,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