Intelligent Optimization Of The Number Of Hot-rolling Roll Changes Of High-speed Tool Steel Rod And Wire

With the rapid development of the integration of the two technologies,the production mode of the steel industry has gradually shifted to the direction of intelligence,but the intelligence and optimization effects in some details are not obvious enough.The implementation scheme based on manual experience is costly in terms of time.For example,the optimization of the number of roll changes for hot continuous rolling of high-speed tool steel bars and wires is currently based on expert experience.However,due to the special production process of high-speed tool steel,including long single roll change time,complicated rolling process,high consumption cost,strict requirements on machine carrying,etc.,the optimization method of roll change number based on manual experience will trigger production Problems such as long time,high labor cost and low production efficiency.In order to optimize the number of roll changes for hot continuous rolling of high-speed tool steel rods and wires,this subject studied a multi-constrained mathematical model construction method and an optimization algorithm for the number of roll changes based on a hybrid ant colony algorithm,and used actual data from a special steel production line The simulation verified the effectiveness of the method.The main innovative work of this article includes:(1)Aiming at the specific optimization problem of the number of hot continuous rolling rolls of high-speed tool steel rod and wire,this paper analyzes and describes a mathematical model suitable for the problem,and gives the objective function and constraints of the mathematical model.(2)Based on the specific analysis of the advantages and disadvantages and operating modes of ant colony algorithm and genetic algorithm,a hybrid ant colony algorithm combined with a mathematical model is proposed,which not only retains the diversity of samples,but also improves the convergence speed of the algorithm and to speed up the search process.(3)Using the actual production data and production environment of a steel plant in Hebei,the proposed method was simulated and verified.The results show that,compared with the single-model genetic algorithm and ant colony algorithm,the hybrid ant colony algorithm is used to solve the problem model.The number of roll changes for hot continuous rolling of high-speed tool steel rod and wire is optimized,the number of roll changes is significantly reduced,and the running speed is also obtained.In the actual production process,it has certain reference value to the enterprise.