Ayuba Emmanuel O, Bolu Christian A, John Temitope M, Abioye Abiodun A
Department of Mechanical Engineering, Covenant University, Ota, Nigeria.
Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria.
Data Brief. 2018 Mar 22;18:891-901. doi: 10.1016/j.dib.2018.03.081. eCollection 2018 Jun.
The data contained in this article was acquired from the automatic gauge control system for a steel cold rolling mill production line in Nigeria. Accuracy is the one of the most important indices of productivity during a milling process. A total of 486 data points were obtained from selected feedback sensors located on the rolling mill machine via the control panel Human Machine Interface (HMI). The selected rolling parameters were gathered at different time intervals for different sample coils strips during the different milling stages. The data shows parameters such as actual thickness measured, x-ray gauge temperature, mill speed at both entry and exit and the mill power. This dataset could be used to analyze and improve the accuracy of the Automatic gauge control system and reduction in error in thickness variation.
本文所包含的数据来自尼日利亚一家钢铁冷轧机生产线的自动厚度控制系统。精度是轧制过程中生产率的最重要指标之一。通过控制面板人机界面（HMI），从位于轧机上的选定反馈传感器总共获得了486个数据点。在不同的轧制阶段，针对不同的样本卷材带材，在不同的时间间隔收集选定的轧制参数。数据显示了诸如实际测量厚度、X射线测厚仪温度、入口和出口处的轧机速度以及轧机功率等参数。该数据集可用于分析和提高自动厚度控制系统的精度，并减少厚度变化的误差。
