Abstract

The hot rolling process is heated to a temperature suitable for rolling the slab from 1100 ° C to 1300 ° C and then rolled to a desired thickness and width. In particular, since the steel is rolled in a state of good plasticity, deformation becomes easy. In the hot rolling process, a coil of about 20 tons is operated for 24 hours at a cycle time of about 2 minutes. In recent years, due to the increase of high strength steel, the load of the equipment has been increased, causing unexpected breakdown of equipment such as spindle, coupling, speed reducer, etc., resulting in loss of production. In order to cope with this problem, we developed a system for assessing the integrity of facilities. So far, we have been performing the physical model based facility diagnosis through the CMS (Condition Monitoring System) based on the vibration sensor. However, in this study, the comprehensive big data based facility diagnosis of the operating factors such as Roll Force, Tension, Speed, and a new sensing technology for acoustic and thermal imaging. Similar researches have been conducted in other steel companies, and in particular, it is reported in the literature that the on-line torque measurement system is being used to diagnose facility health. However, the online torque measurement system is difficult to install and operate in all rolling mill STDs due to administrative problems and cost problems. In this study, we conducted a study to monitor the health of the equipment using motor current, sound and thermal image of the driving body.

How to Cite:

Shin, N., Shin, K. & Bae, J., (2019) “A study on the health monitoring of hot rolling mill”, Review of Progress in Quantitative Nondestructive Evaluation .