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Prediction and analysis of rolling process temperature field for silicon steel in tandem cold rolling
The International Journal of Advanced Manufacturing Technology ( IF 2.9 ) Pub Date : 2021-05-16 , DOI: 10.1007/s00170-021-06993-9
Guomin Han , Hongbo Li , Jie Zhang , Ning Kong , Yujin Liu , Xuechang You , Yu Xie , Fei Shang

In order to accurately predict the rolling process temperature field for the high-grade non-oriented silicon steel in five stands tandem cold rolling, a model with multi-layer grids in thickness direction is established with the control volume heat balance method by considering the actual heat sources including the deformation heat, the friction heat, and the heat transfer processes including the contact heat loss and the emulsion heat transfer. Firstly, according to the actual parameters in the industrial field, the entire rolling process temperature field is accurately predicted under the premise of ensuring the model’s convergence. And the model’s reliability is verified by the measured temperature in the field. Secondly, the result shows that the lateral temperature distribution of silicon steel is uneven, and the lateral temperature difference reaches the maximum at the exit of the fifth stand (S5). At last, the strip in S5 is taken as the object to analyze the effects of different rolling parameters on the temperature distribution. The result shows that the reduction rate has a significant effect on the strip temperature distribution while the friction coefficient and the rolling speed have little effects; in addition, the larger the reduction rate, the higher the whole temperature, the smaller the lateral temperature difference and the longitudinal temperature difference. In the long run, the results will provide great references for the rolling parameters adjustment due to temperature control in the industrial field.



中文翻译:

冷连轧硅钢轧制过程温度场的预测与分析

为了准确预测五机架串联冷轧高级无取向硅钢的轧制过程温度场,采用控制量热平衡法,考虑了实际情况,建立了厚度方向上多层网格的模型。热源包括变形热,摩擦热以及包括接触热损失和乳液热传递的热传递过程。首先,根据工业领域的实际参数,在保证模型收敛的前提下,对整个轧制过程的温度场进行了准确的预测。并通过现场测得的温度验证了模型的可靠性。其次,结果表明硅钢的横向温度分布不均匀,并且在第五机架的出口处,横向温度差达到最大(S5)。最后以S5中的钢带为对象,分析了不同轧制参数对温度分布的影响。结果表明,压下率对带钢温度分布影响显着,而摩擦系数和轧制速度影响不大。另外,还原率越大,整体温度越高,则横向温度差和纵向温度差越小。从长远来看,该结果将为工业领域中温度控制所带来的轧制参数调整提供很好的参考。以S5中的钢带为对象,分析不同轧制参数对温度分布的影响。结果表明,压下率对带钢温度分布影响显着,而摩擦系数和轧制速度影响不大。另外,还原率越大,整体温度越高,则横向温度差和纵向温度差越小。从长远来看,该结果将为工业领域中温度控制所带来的轧制参数调整提供很好的参考。以S5中的钢带为对象,分析不同轧制参数对温度分布的影响。结果表明,压下率对带钢温度分布影响显着,而摩擦系数和轧制速度影响不大。另外,还原率越大,整体温度越高,则横向温度差和纵向温度差越小。从长远来看,该结果将为工业领域中温度控制所带来的轧制参数调整提供很好的参考。结果表明,压下率对带钢温度分布影响显着,而摩擦系数和轧制速度影响不大。另外,还原率越大,整体温度越高,则横向温度差和纵向温度差越小。从长远来看,该结果将为工业领域中温度控制所带来的轧制参数调整提供很好的参考。结果表明,压下率对带钢温度分布影响显着,而摩擦系数和轧制速度影响不大。另外,还原率越大,整体温度越高,则横向温度差和纵向温度差越小。从长远来看,该结果将为工业领域中温度控制所带来的轧制参数调整提供很好的参考。

更新日期:2021-05-17
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