Multi-objective optimization of continuous casting secondary cooling water based on differential evolution algorithm

The secondary cooling water has a considerable influence on cracks and other internal defects of the billets. This research aims to develop an optimization algorithm used for solving the optimal secondary cooling water flowrate under different casting speeds. An multi-objective optimization algorithm based on differential evolution(DE) algorithm was developed for Pareto-optimal solutions for solving an optimal control of secondary cooling water distribution. The optimization method consists of the solidification heat transfer mathematical model, DE algorithm linked with three conflicting objective functions according to certain metallurgical criteria and some technological constraints. The Pareto-optimal solutions were controlled by crowding distance to improve the diversity of solutions. The application of the developed optimization algorithm for determining optimal setting of cooling parameters demonstrate that better results can be obtained in improving the product quality.