采用计算机对高速线材生产过程进行模拟，开发出具有较高准确度同时具有对不同轧制工艺有较好通用性的高线生产仿真系统。利用有限元方法计算了线材在待轧、轧制、水冷及风冷过程的温度场；通过对再结晶动力学模型的解析，得到了静态再结晶、动态再结晶的分数以及奥氏体晶粒在轧制过程中的变化情况；通过组织演变模型和温度模型的耦合计算，模拟出斯太尔摩风冷线上线材的组织变化过程；建立了利用初始化学成分和组织组成预测高线产品力学性能的BP神经网络模型，通过生产过程数据的训练，实现了对线材力学性能的预测。仿真计算的结果对线材控轧、控冷工艺的改进有一定的指导意义。
The high speed wire production process is simulated and the simulation system is designed with higher accuracy applicable to various rolling techniques. The temperature field is calculated by FEM method for delay rolling, rolling process, water cooling and wind cooling. The variation of volume fractions for static and dynamic recrystallization, and austenite grain size during rolling process are obtained by model calculation. The microstructure change of Stelmor line is simulated through coupling the models for microstructure evolution and temperature field. The prediction model for mechanical properties of wire with BP neural network is built by using original chemical composition and microstructures. The simulation result is of vital importance in the improvement of controlled rolling and cooling technologies.
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