Modeling And Rolling Schedule Optimization Of Seamless Steel Tube Rolling Process

Abstract:Seamless steel is an important raw material for the national economy, is widely used in petroleum, electric power, chemicals, coal, machinery, military, aerospace and other industries. The rolling seamless steel pipe production process is the most important means of rolling, mainly to complete the axial deformation.We take a factory PQF(Pre-mium Quality Finishing) rolling mill as the object of seamless tube rolling process modeling and rolling schedule optimization method to improve the quality of the mother pipe rolling equipment life and give full play to rolling the ability of the stand. The main tasks include the following:Firstly, in the light of the characteristics of the PQF(Pre-mium Quality Finishing) and the nomal pass, the roll gap model is proposed in this paper. On this basis, the speed model is put forward which is formed by the equal principle of metal second-flow. According to the unit force balance and plasticity, the rolling force model is raised when the pipe rolling is treated as the plate rolling. Compared the results with actual data of the three models, the validity of the models can be verified to prepare for the subsequent research.Secondly, the the PQF rolling process is realized by utilizing the models and finite element simulation platform. According to the simulation results, the equivalent stress, rolling force, speed, deformation and wall thickness of steel pipe are analyzed. The analysis results show that the roll gap model, rolling speed model and rolling force model are efficient. And the model results can be applied to the scene rolling.Finally, on the basis of verifying the validity of the models, the wall thickness precision of optimal optimization model for5-6#stand and the load balancing optimization model for1-4#stand are established. And the iterative algorithm and particle swarm optimization algorithm are respectively used here to solve the above optimization model. They can realize the optimization of elongation distribution and the rolling schedule optimization. Then, the quality and life of rolling are improved effectively, and the ability of continuous service is utilized fully.