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The Iron & Steel Technology Conference and Exposition 2011 (AISTech 2011)
 Advanced or Novel Automation Technology (Computer Applications)
May 2-5, 2011, Indianapolis, IN., USA
 

Development of Next-Generation Level 2 Model as Metallurgical System

Bingji (Benjamin) Li, Ph.D.
www.metalpass.com/bli
Metal Pass LLC
www.metalpass.com
Pittsburgh, PA, USA

Daoyuan Wang, Ph.D.
Executive Vice Plant Manager
Nanjing Iron & Steel Co. (NISCO)
Nanjing, Jiangsu, PR China

Pengju Zhu
Chief Engineer
Nanjing Iron & Steel Co. (NISCO)
Nanjing, Jiangsu, PR China
 

Key words: Level 2 Model, Metallurgical processes, Metallurgical models, Intelligent learning, Hybrid system
 

ABSTRACT

Various metallurgical issues negatively affect current Level 2 model and cause significant model errors which cannot be removed by adaptive learning. Wide application of metallurgical processes (e.g. controlled rolling) calls for metallurgical principles in Level 2 model. The next-generation Level 2 should include a hybrid system by combining a full-range of metallurgical models with intelligent learning. The new model would also improve the pass schedule in controlled rolling. The revealed metallurgical issues, the general concepts of the next-generation Level 2 system, and the related metallurgical models in rolling, reheating and accelerated-cooling will be particularly discussed.
 

SUMMARY

This paper first shares some background in developing next-generation Level 2 system in Metal Pass. Then, it covers several key metallurgical issues affecting level 2 quality, such as retained strain incurring due to incomplete recrystallization, softening during the hold in the controlled rolling, rolling in two-phase regions in the final passes, metallurgical nature of the flow stress, and property variation in width, length and thickness of the plate/strip. On this basis, it discusses the benefits of metallurgical Level 2, especially in high accuracy of the force prediction, and in improved pass schedule and slab selection.

After those discussions, the paper provides a detailed discussion on general concepts of the next-generation Level 2 system, and the related metallurgical models in rolling, reheating and accelerated-cooling, to be integrated into Level 2 model as software modules.

In the last section, it first introduces the Guided Two-Parameter Learning as the key measure to integrate metallurgical parameters into the Level 2. Then, it discusses, in depth, the handling of various metallurgical issues in the next-generation rolling mill level 2 model, including those on retained strain, in resume pass model and in two-phase region, and in steel grade handling and model data design, and so on.
 

PRESENTATION

Session: Advanced or Novel Automation Technology (Computer Applications)
Presentation Time:  3 May 2011 at 4:30 pm (Room 111)

(Paper: 12 pages, pdf)

 


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