Load Distribution Of Hot Strip Rolling Based On Improved Seagull Algorithm

An important part of strip hot rolling production is the development of a reasonable rolling program,of which load distribution is of paramount importance.The essence of load distribution is to reasonably allocate the amount of press down in each stand so that it can meet the rolling force,power and other limitations of the equipment,an excellent load distribution plan can greatly improve product quality,reduce energy consumption and give full play to the capacity of the equipment to improve production efficiency.Nowadays,the actual site usually adopts the method of empirical load distribution,but the method relies too much on the subjective experience of the producer,although the load distribution can be achieved but the results are not optimal.With the rapid development of science and technology,the advantages of industrial intelligence are becoming more and more obvious,and the market requirements for the quality of strip steel products are increasing,it is urgent to explore new methods to solve the load distribution problem.Intelligent optimization algorithms to solve the load distribution problem can quickly and efficiently meet the production requirements and obtain a more reasonable rolling schedule.This thesis introduced the research progress in the field of hot strip rolling load distribution and seagull optimization algorithm at home and abroad,analyzed the main mathematical models in the hot strip rolling process,clarified the connection between the models,and established an objective function model that took into account load balance and good plate shape.A multi-objective seagull optimization algorithm with improved strategy is introduced to solve the load allocation problem.The main contents are as follows.1.Improved the multi-objective seagull optimization algorithm by incorporating cosine-type convergence factors,Levy flights and self-organization of population size,thereby enriching the diversity of individual distributions of optimal solutions.2.Comparing LNMOSOA with MOSOA,NSGA-Ⅱ and MOEA/D under various test functions,according to the simulation results,it can be concluded that LNMOSOA converges faster and with higher accuracy.3.A mathematical model of hot strip rolling load distribution is established,in which LNMOSOA is applied for calculation,to provide reference for on-site rolling load distribution.