热镀锌连退过程C翘机理及其预报模型

 为有效降低带钢C翘发生风险,提高其表面镀层均匀性,研究了热镀锌连退过程C翘形成机理。充分考虑到热镀锌连退过程的设备与工艺特点,从弹塑性力学角度详细分析带钢C翘形成机理,并推导出C翘机理力学模型。采用条元法建立带钢C翘预报计算模型,并基于此采用优化递推法成功解决生产应用C翘预报模型难点。最后,在此基础上编制热镀锌机组连退过程带钢C翘预报软件应用于现场,并分别预报两种典型规格带钢在炉内不同工艺段板形翘曲演变过程。结果表明,机组出口板形预报值与其实测值的偏差满足产品精度要求,该模型能实时预测炉内工艺段板形,为后续工艺参数优化提供理论指导,具有进一步推广应用的价值。

Formation mechanism and prediction model for C-warping defect of strip steel in continuous annealing process of hot galvalume unit

In order to effectively reduce the risk of C-warping of the strip steel and improve the uniformity of its surface coating, the formation mechanism of C-warping in continuous annealing process of hot dip galvanizing were studied. In view of equipment and process characteristics of continuous annealing process of hot galvalume unit, the forming mechanism of C-warping defects is analyzed in detail from the point of elastic-plastic mechanics, and then the mechanical model of C-warping is deduced. The strip element method is used to establish the prediction model of strip C-warping in the process of the unit. Based on this, the optimization recursion method is used to solve the difficulty of the prediction model of strip C-warping successfully. Finally, based on this, the software, which predicts for C-warping defects of the strip in the continuous annealing process of the galvalume unit, is formulated and applied to the scene. The model used to forecast the shape of two typical specifications strip steel in different processes of the furnace. The analysis results show that the deviation between the forecasted and measured values of unit outlet strip shape can meet the requirements of product precision. The model can predict the strip shape of the process in the furnace in real-time, and provide theoretical guidance for the subsequent process parameter optimization. So the model has the value of further popularization and application.