AISTech 2017

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Sessions (6)

Improving the Accuracy of Predicting Work Roll Wear in the Hot Strip Mill (Room 102B)

09 May 17
2:00 PM - 2:30 PM

Tracks: Rolling Process Modeling, Simulation & Control

Accurate prediction of work roll wear is a key component of high-quality hot strip rolling. Incorrectly calculated wear has different implications ... More...

New Model for Coiling Temperature Control Based on Spatial Division of Steel Strip Path (Room 102B)

09 May 17
2:30 PM - 3:00 PM

Tracks: Rolling Process Modeling, Simulation & Control

Coiling temperature control, CTC, in hot strip mills is crucial for determining material properties. Current temperature model in CTC calculates th... More...

New Vision-Based Strip Steering Control for HSM (Room 102B)

09 May 17
3:00 PM - 3:30 PM

Tracks: Rolling Process Modeling, Simulation & Control

In this paper, a new vision-based strip steering control for HSM is proposed. Demand for high-quality strip is increasing, especially tighter toler... More...

Use of Machine Learning to Assess Defects in Hot Rolled Coils (Room 102B)

09 May 17
3:30 PM - 4:00 PM

Tracks: Rolling Process Modeling, Simulation & Control

The North American Stainless hot rolling mill is a highly automated mill that collects and stores into their MES database hundreds of thousands of ... More...

New Study and Proven Method of High Speed Response for Hot Finishing Mills (Room 102B)

09 May 17
4:00 PM - 4:30 PM

Tracks: Rolling Process Modeling, Simulation & Control

Yield improvement of hot strip mills can be expected with high-speed response of main motors in finishing lines. However, there is a risk of causin... More...

New Approach to Avoid Biting Problems during Hot Rolling (Room 102B)

09 May 17
4:30 PM - 5:00 PM

Tracks: Rolling Process Modeling, Simulation & Control

Strip biting is considered the most critical moment for hot rolling. Successful biting is the first step towards successful rolling; otherwise the ... More...