Particle swarm optimization based steel rolling parameter optimization

Based on the mathematical analysis of the rolling process, an optimal load distribution model is established. The total energy consumption is to be minimized by adjusting rolling parameters. The equipment and rolling process constraints are taken into consideration. An improved particle swarm optimization algorithm is employed to get the optimal rolling parameters. The simulation results on a six-frame strip demonstrate that the proposed method is efficient. The experiment in Jinan Iron & Steel Group shows the feasibility of the rolling parameter optimization model and solving method.