超薄带材轧制力出口塑性区和摩擦系数模型的迭代收敛求解

IF 1.6 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING
Jie Zhang, Tao Wang, Zhenhua Wang, Xiao Liu
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引用次数: 0

摘要

针对超薄带材轧制力分析模型,改进了出口塑性区的迭代条件,解决了小减径轧制中 Fleck 模型的收敛问题。分析了多道次轧制中摩擦系数的非线性规律,通过摩擦系数计算模型建立了样本数据的摩擦系数数据库,利用 GWO-KELM 神经网络训练摩擦系数预测模型,最终建立了基于修正摩擦系数的 Fleck 轧制力预测模型。利用一台 280 毫米 20 高多功能轧机的实际生产数据,对三种不同规格的带钢进行了预测误差对比分析。结果表明,性能最好的 MSE、RMSE、MAE、MAPE 和 R2 值分别为 170.48、13.06 kN、9.01 kN、3.30% 和 0.989。改进后的滚动力预测模型的精度得到显著提高,而且摩擦系数数据库的数据规模可以不断扩大,因此滚动力预测模型的精度可以不断提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterative Convergence for Solving the Exit Plastic Zone and Friction Coefficient Model of Ultra-thin Strip Rolling Force

For the analytical model of rolling force of ultra-thin strip, the iterative conditions of the exit plastic zone are improved to solve the convergence problem of the Fleck model in small reduction rolling. The nonlinear law of friction coefficient in multi-pass rolling is analyzed, and the friction coefficient database for sample data is established through the friction coefficient calculation model, which is used GWO-KELM neural network training friction coefficient prediction model, the Fleck rolling force prediction model based on the modified friction coefficient is established ultimately. A comparative analysis of prediction errors is conducted on three different specifications of strip steel using actual production data from a multifunctional 280 mm 20-high mill. The results show that the best performing MSE, RMSE, MAE, MAPE and R2, with values of 170.48, 13.06 kN, 9.01 kN, 3.30%, and 0.989, respectively. The accuracy of the modified rolling force prediction model is significantly improved, and the data scale of friction coefficient database can be continuously expanded, so the accuracy of the rolling force prediction model can be continuously improved.

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来源期刊
Isij International
Isij International 工程技术-冶金工程
CiteScore
3.40
自引率
16.70%
发文量
268
审稿时长
2.6 months
期刊介绍: The journal provides an international medium for the publication of fundamental and technological aspects of the properties, structure, characterization and modeling, processing, fabrication, and environmental issues of iron and steel, along with related engineering materials.
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