【摘要】 为了解决传统前滑模型在超高强钢轧制过程中计算精度差的问题，首先，采用有限单元法建立了超高强钢冷轧仿真模型，并结合某钢企现场试验数据验证了该模型的有效性；其次，利用所建模型，对刚性体轧辊及弹性体轧辊在不同压下率、轧辊直径、摩擦因数、屈服强度下进行数值模拟，得到了不同轧制工艺参数对前滑的影响规律；最后，对仿真数据进行非线性回归分析，并考虑到原有Fink模型特征，引入一个新的修正系数完成对前滑模型的修正，建立了基于超高强钢的连轧前滑修正模型。研究结果表明：修正后前滑计算模型与有限元模型结果之间的相对误差从200%左右下降到20%以内，因此，该模型在超高强钢轧制过程中具有较好的可行性与适用性。随着压下率增大，轧辊直径、摩擦系数及轧件屈服强度减小，轧制变形区前滑值均有所减小。在其他条件一定的情况下，当轧辊从刚性体转换为弹性体时，轧制变形区内前滑区长度增大。更多还原

【Abstract】 In order to solve the problem of low calculation accuracy of the traditional front slip model in the rolling process of ultra-high-strength steel, firstly, a simulation model of cold rolling of ultra-high-strength steel was established by using the finite unit method, and the validity of the model was verified by combining with the on-site test data of a steel enterprise. Secondly, using the built model, numerical simulation was carried out for rigid body rolls and elastomer rolls under different underpressure rates, roll diameters, friction factors and yield strengths. The influence laws of different rolling process parameters on the front slip were obtained. Finally, the simulation data were analyzed by nonlinear regression. Considering the original Fink model characteristics, a new correction coefficient was introduced to complete the correction of the front slip model. The correction model of front slip of continuous rolling based on ultra-high-strength steel was established. The results show that the relative error between the corrected forward sliding calculation model results and the finite element model results decreases from around 200% to within 20%. Therefore, the model has good feasibility and applicability in the rolling process of ultra-high-strength steel. With the increase of the underpressing rate, the roll diameter, friction coefficient and the yield strength of the rolled parts decrease, and the slip value in front of the rolling deformation zone decreases. Under other conditions, when the roll is converted from a rigid body to an elastic body, the length of the front slip zone in the rolling deformation increases.更多还原