薄带短流程无头连铸连轧组织演变 预测模型及其软件开发

Prediction Model and Software Development for Microstructural Evolution in Thin Strip Casting and Rolling Process

为了准确预测薄带短流程无头连铸连轧产线上轧制过程中轧件组织的演变过程,结合薄带无头连铸连轧产线的轧制设备和生产工艺特点,基于热传导理论构建了适用于薄带无头连铸连轧轧制全流程的板带温度场模拟系统;在此基础上,利用JMAK模型并耦合温度演变,建立了一种适用于薄带无头连铸连轧产线的组织演变预测模型。进而采用Python和PyQt工具,开发了一款面向用户、便于人机交互的软件,实现该组织演变预测模型的应用。通过将模型计算结果与生产现场的实测数据进行对比验证,结果表明所构建模型对温度的预测误差不超过±5℃,对晶粒尺寸的预测精度不超过±3μm,满足无头连铸连轧产线的生产需求,为薄带无头连铸连轧轧制工艺的制定与优化提供了可靠的理论支持。

To accurately predict the microstructural evolution during the rolling process on the endless casting&rolling production line,this paper integrates the characteristics of endless casting&rolling equipment and production processes.Based on heat conduction theory,a temperature field simulation system for the entire endless casting&rolling process is developed.Utilizing the JMAK model and coupling it with temperature evolution,a microstructural evolution prediction model suitable for the endless casting&rolling production line is derived.Furthermore,a user-friendly,interactive software application is developed using Python and PyQt to implement the prediction model.By comparing the model’s calculations with actual production data,the results show that the temperature prediction error is within±5℃and the grain size prediction accuracy is within±3μm.This meets the production requirements of the endless casting&rolling line and provides reliable theoretical support for the formulation and optimization of endless casting&rolling processes.