Finite Element Simulation And Recrystallization Behavior Prediction Of High Speed Wire Rolling Process

There are many factors affecting the final product grain size in the production process of high-speed wire,including the temperature from the heating furnace,the strain during rolling,and the temperature change.By studying the temperature field and strain field in rolling process and combining with physical metallurgical model,a simulation system for off-line prediction of austenite grain size evolution model in high-speed wire production process is developed,which is of great significance for improving the mechanical properties of rolling parts.The finite element method is used to solve the temperature field.By dividing the elements,dealing with the boundary conditions,calculating the heat generated in the rolling process,and calculating the heat transfer coefficients of three different processes,i.e.stranding,rolling and water cooling,a program for calculating the temperature field is established to solve the temperature change in the whole rolling process.In the rolling process,because of the complexity of the pass,the strain variation of the rolled piece is complicated.The traditional method calculates the strain variation of the rolling process by using the equivalent strain method.The calculated value can not represent the whole strain situation of the rolled piece.The simulation software ABAQUS is used to simulate each processing pass in the production process of high-speed wire rod,and the strain changes in each region of the rolling process are obtained.Based on dynamic recrystallization kinetics equation,dynamic recrystallization critical strain model,austenite static recrystallization and grain growth model,the calculation model of austenite grain size in rolling process was developed.The dynamic recrystallization fraction,static recrystallization fraction and austenite grain size in different regions during rolling were calculated.The original software can only predict the average dynamic recrystallization fraction,the average static recrystallization fraction and the average austenite grain size in the rolling process.The software has been unable to meet the need for accurate prediction of grain size of rolled parts.It is necessary to improve the software to calculate the temperature,recrystallization fraction and grain size in different areas during rolling.