Study On The Rolling Schedule Intelligent Optimization Of Five-Stand Tandem Cold Rolling Mill

Rolling schedule is one of main contents in cold-rolled strip steel production technology. And it is the core element of setting-up model in cold rolling. For the cold-rolled strip steel, ascertaining the optimal rolling schedule has significant meaning. By optimizing the rolling schedule, it can get rid of the deficiency experience law, give full play to rolling mill's productive capacity, ensure the rationally use of equipment, make the product good quality and low energy consumption. With the rapidly development of artificial intelligence and extensively use of computer technology, the intelligent optimization methods are introduced into establishment process of rolling schedule. This can open up a wider world for rolling schedule optimization design. In addition, it is a effective way to improve the efficiency of rolling schedule.Firstly, this paper analyzes the mathematical models involved in rolling schedule optimization for tandem cold rolling mill particularly, and discusses Bland-Ford-Hill rolling force model that applied widely in engineering research. Moreover, three major elements which affect the accuracy of rolling force model are labored.Then, by analyzing their own characteristics and implementation process of genetic algorithm and ant colony algorithm, the present work proposes Genetic Algorithm-Hybrid Ant Colony System(GA-HACS), and then applies this algorithm to rolling schedule optimization design. With the example of 1370 mm eight-roller and five-stand tandem cold rolling mill, the superiority of this algorithm is proved powerful through the simulation results.Finally, considering the goal pursued in actual productive is not a single one, so through researching multi-objective optimization theory, a mathematical model of multi-objective optimization is established in this paper, which facilitates the design of new systems aimed at equating the relative load, preventing the rolling slippage and obtaining best shape. Taking into account the ambiguity of optimization functions and constraint functions, we use fuzzy theory to realize multi-objective optimization for tandem cold rolling schedule.