Modeling and exploiting the strip tension influence on surface imprinting during temper rolling of cold-rolled steel

IF 3.9 Q2 ENGINEERING, INDUSTRIAL
Xinyang Li , Christopher Schulte , Dirk Abel , Marco Teller , Gerhard Hirt , Johannes Lohmar
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引用次数: 3

Abstract

To produce cold-rolled steel strips with specific mechanical properties and surface roughness typically temper rolling is adopted. In most cases, a uniform roughness pattern on the strip surface is mandatory. Due to the wear of the textured work rolls, their surface roughness (Ra) continuously reduces during the process, which should be accounted for process control. However, conventional temper rolling systems fail to guarantee a uniform surface roughness. In this work, the influence of strip tension on the imprinting of surface roughness during temper rolling is analyzed based on a multi-scale FE modeling concept to explore new ways for surface roughness control. This is done in simulation where, a macroscopic rolling model incorporating strip tension is coupled to a mesoscopic imprinting model and both models are validated using copper rolling trials. The influence of different thickness reductions, strip tensions and incoming strip's surface roughness on imprinting is modeled and compared. The numerical results reveal that a higher strip tension decreases the roughness transfer, which presents potential to control the roughness transfer ratio without changing other process parameters like the prescribed thickness reduction in the future.

模拟并研究冷轧钢回火轧制过程中带钢张力对表面压痕的影响
为了生产具有特定力学性能和表面粗糙度的冷轧带钢,通常采用回火轧制。在大多数情况下,带钢表面的均匀粗糙度图案是强制性的。由于织构工作辊的磨损,其表面粗糙度(Ra)在加工过程中不断降低,应考虑到工艺控制。然而,传统的回火轧制系统不能保证均匀的表面粗糙度。本文基于多尺度有限元建模概念,分析了回火轧制过程中带钢张力对表面粗糙度印记的影响,探索了表面粗糙度控制的新途径。这是在模拟中完成的,其中,包含带材张力的宏观轧制模型与介观压印模型相耦合,两个模型都通过铜轧制试验进行验证。模拟并比较了不同厚度减薄、带钢张力和来料带钢表面粗糙度对压印的影响。数值结果表明,较高的带钢张力降低了粗糙度传递,这为未来在不改变规定厚度等其他工艺参数的情况下控制粗糙度传递比提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Industrial and Manufacturing Engineering
Advances in Industrial and Manufacturing Engineering Engineering-Engineering (miscellaneous)
CiteScore
6.60
自引率
0.00%
发文量
31
审稿时长
18 days
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