On-line flatness measurement in the steelmaking industry.
On-line flatness measurement in the steelmaking industry.
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DOI：
10.3390/s130810245
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发表时间：
2013-08-09
期刊：
影响因子：
--
通讯作者：
García DF
中科院分区：
文献类型：
--
作者：
Molleda J;Usamentiaga R;García DF
形状是决定钢铁行业出厂平轧产品质量的关键特征。它很大程度上受到平整度的影响，平整度是描述轧制产品表面如何接近平面的特征。平整度在炼钢中至关重要，因为大多数下游工艺和客户都使用平整度来验收或拒绝轧制产品。平整度传感器通过比较受检产品表面的几条纵向纤维的长度来计算平整度测量值。通常使用两种主要不同的方法。一方面，大多数机械传感器测量轧制产品宽度上的拉伸应力，同时根据该应力制造和估计纤维长度。另一方面，光学传感器通过投射到产品表面的光图案来测量纤维的长度。在本文中，我们回顾了炼钢行业中用于测量和量化钢板、薄板和带材平整度缺陷的技术和主要传感器。大多数这些技术和传感器可用于涉及轧机或连续生产线的其他行业，例如铝、铜和造纸等。本文包含在《2013 年西班牙最先进的传感器技术》特刊中，还回顾了为西班牙炼钢行业设计和开发的最重要的平整度传感器。
Shape is a key characteristic to determine the quality of outgoing flat-rolled products in the steel industry. It is greatly influenced by flatness, a feature to describe how the surface of a rolled product approaches a plane. Flatness is of the utmost importance in steelmaking, since it is used by most downstream processes and customers for the acceptance or rejection of rolled products. Flatness sensors compute flatness measurements based on comparing the length of several longitudinal fibers of the surface of the product under inspection. Two main different approaches are commonly used. On the one hand, most mechanical sensors measure the tensile stress across the width of the rolled product, while manufacturing and estimating the fiber lengths from this stress. On the other hand, optical sensors measure the length of the fibers by means of light patterns projected onto the product surface. In this paper, we review the techniques and the main sensors used in the steelmaking industry to measure and quantify flatness defects in steel plates, sheets and strips. Most of these techniques and sensors can be used in other industries involving rolling mills or continuous production lines, such as aluminum, copper and paper, to name a few. Encompassed in the special issue, State-of-the-Art Sensors Technology in Spain 2013, this paper also reviews the most important flatness sensors designed and developed for the steelmaking industry in Spain.
影响因子：
2.1
作者：
Abdelkhalek, S.;Montmitonnet, P.;Buessler, P.
通讯作者：
Buessler, P.
影响因子：
0.9
作者：
Boerchers, J.;Gromov, A.
通讯作者：
Gromov, A.
影响因子：
6.3
作者：
Andersen, CB;Ravn, BG;Wanheim, T
通讯作者：
Wanheim, T