Vertical rolling is an important technique used to control the width of continuous casting slabs in hot-rolling field. Accurate prediction vertical force a core point maintaining rolling-mill equipment. Owing limitation algorithm use, accuracy most models based on energy method can only reach more than 10%. Therefore, it challenging optimize rolling-force model improve accuracy. An innovative a...

Severe competition in US steel industry urges quality improvements in hot rolling processes. Surface defects have been a long-standing troubling issue in hot rolling processes due to the ineffectiveness of existing detection methods. This paper presents an advanced statistical analysis method to identify the impacting factors in surface defects of hot rolling processes. The surface defects on t...

Abstract Width-related defects are a common occurrence in the Hot Strip Mill process which can lead to extra processing, concessions, or scrapping. The detection and Root Cause Analysis of these is largely manual vulnerable several negative factors including human error, late feedback, knock-on effects successive steel strip products. Automated tools utilize Artificial Intelligence Machine Lear...

A hot strip mill for the production of steel is a complex process where nonlinear dynamic phenomena occur and many control loops need to be tuned taking into account their interference. The control problem of the interstand tension and looper arm position is addressed in this paper. With respect to the conventional PID control approach, our investigation aims at exploiting nonlinear control tec...

The online quality monitoring procedure for attributes proposed by Taguchi has been critically studied and extended by a few researchers. Determination of the optimum diagnosis interval requires estimation of some parameters related to the process failure mechanism. Improper estimates of these parameters may lead to an incorrect choice of the diagnosis interval and thus huge economic penalties....

We discuss a Root Cause Analysis (RCA) system implementing a probabilistic approach based on Bayesian inference for adaptive reasoning under uncertainties in industrial process operation. The proposed approach is model based and accumulates the process knowledge within the problem domain, which data is gathered and stored in XML-based information server. The Bayesian networks have been created ...

 In this work, effects of homogenization time of 3 to 13 h at 1200 °C on the grain refinement of as-cast AISI 301 stainless steel after different hot rolling conditions were investigated. The results showed that the minimum grain size of 16±7 mm was achieved when homogenization took place at 1200 °C for 9 h followed by hot rolling at temperature range of 1000–1200 °C with strain of 0.8 and stra...

the hot charging of continuously cast slabs steel is usually considered an effective method to reduce theenergy consumption in the hot rolling mills. in this work the application and optimizing of hot charging ofcontinuously cast slab in mobareke steel company has been investigated. mathematical relationship betweenthe cooling time of the stack of slabs and its mass average temperature is descr...