Study On Optimization Methods Of Continuous Casting Production Process

The continuous casting process is the core processes of the modern iron and steel production process, in which condition is complicated. In the continuous casting production process, unknown volatility has been caused by many uncertain factors including steel composition, temperature of molten steel, operating conditions, working condition of equipment, abnormal pouring, etc. For example, some furnace arrives at the continuous casting machine in advance or with delay, that is time disturbance has been occurred, which make off pouring or molten steel temperature drop induced by too long waiting time of ladle. In this condition, productivity and the quality of the slab have been seriously affected. When conflicted time happened, the existing method is that dispatchers first determine the adjusted caster speed artificially according to the time disturbance situation, then the operator of the continuous casting machine queries meter and sets the cooling water in accordance to the adjusted casting speed to make the process carry out smoothly. But it is difficult to make the continuous casting machine operate at the optimum condition. Hence from the perspective-of the global optimization production process, we propose the casting speed optimization method to optimize a given caster’s speed and quantity of water under the condition of technological and resource constraints to make continuous casting planning scheduling and two cold water process control systems complement each other and make the continuous casting machine operate optimally.In order to do this, the production process and operation mode of the continuous casting machine has been analyzed and described firstly to propose the optimization problem of casting running, then continuous casting operation indicators model is set up based on metallurgical criteria and casting run constraint model and the model structure of the continuous casting operation optimization decision variables are also presented; then genetic algorithm has been used to solved continuous casting model based on the normalizing criteria weights, transforming of conversation of mass production continuity constraints, and discrete, method of solidification heat transfer equation; finally the impact of different decision variables model structure to the operation indicators is analyzed by experimental study on a single furnace continuous casting process with time perturbation to illustrate the new methods efficiency and accuracy.