Metallurgical Models for
Reheating Level 2
Wide range of the
metallurgical models can be applied into the various Level 2
systems, not only the rolling mill Level 2, but also the
reheating Level 2.
Reheating Furnace Level 2 Model
A combination of a group of thermal, mechanical and
metallurgical models may be employed for the reheating furnace
Level 2. On the one hand it helps to improve the heating
quality (temperature profile, micro-alloy dislocation, crack
avoidance, etc.) and to prevent the slab from
over-heating, on the other hand it may greatly save energy and
increase furnace productivity.
Finite differential method (FDM) slab temperature model. Predicts slab temperature
profiles over the time and in various regions (body, top,
bottom, head end, tail end, skid area, and the cross-section
plane between two skids, etc.). FDM
would be a valuable tool to solve the problem.
Furnace temperature profile model. Describes the
temperature profile inside the furnace, for various zones
such as preheat zone, heat zone and soak zone.
Slab thermal stress model. Calculate the thermal stress
inside the slab through a coupled thermal and mechanical
analysis. Either empirical and FEM could be applied
depending on the cost and quality requirements.
Slab heating speed model. Determines the progress of the
temperature increment per unit time over the heating period,
for the top and bottom surfaces, as well as the
center-thickness plane, etc.
Micro-alloy particles dissolution temperature model.
Determines the dissolution temperatures of various
micro-alloy particles (such as Nb(C, N), VN, VC, TiC, AIN,
NbxVI-xCyNI-y). The greatest of these values should be used
as the final dissolution temperature which will ensure all
the related particles to go into the solution.
Residence time or walk speed optimization model. Designs
the optimum walking speed or residence time for given
furnace settings, to achieve the desired discharge slab
Reheating Level 2 Model Architecture
newly developed Level 2 model may include following modules
Thermal, Mechanical and Metallurgical Models, to determine
various parameters as described above, with also numerical analysis components.
Related rolling process models and rolling
process data, with connection with rolling mill Level 2 system, etc.
Expert system, which consists of logics, data and influence factors on the mechanical, thermal and metallurgical parameters
as well as past reheating experiences.
Advanced system learning techniques based on
the above-mentioned process models, in which the neural network provides the correcting factors for the model coefficients, and fuzzy logic rules and expert system provide guidelines (upper and lower boundaries, etc.) for the learning.
Work List on Level 2 and Mill Modeling
Metal Pass Recent
Technical papers published
in the February and March of
publications are primarily
on Level 2, Level 2 model
and process automation.
Metal Pass has dozens of
research reports and some
available at no charge for the Metal Pass Consulting clients (under approval by
Dr. Benjamin Li).