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)
