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Technological process models are the
basis of high performance process
control. The wide range of validity and
the high accuracy of today’s process
models for the rolling process allow
for a precise mill set-up under all
operational conditions, resulting in
tight product tolerances. Furthermore,
process models ensure high mill
availability and safe, fully automatic
operation.
 Since the 1970’s, Siemens
carries out intensive and continuous
research and development on analytic
on-line steel making, rolling and
treating models also for aluminum. The
basis for the rolling process models
are general differential equations from
mechanics, plasto-mechanics, and
metallurgy, such as Fourier’s heat
equation, the differential equation for
the tension in the roll gap and many
others. Boundary conditions, like heat
transfers and frictions, are modeled
using newest scientific methods
combined with technological knowledge
from operation experience and compared
with a large base of process data. Even
at a large production spectrum, high
precision in modeling of process
properties of steel and metal materials,
such as heat capacities and flow
stresses, is achieved using adaptable
Neural Networks.
Continuous development has lead to
increasingly complex models and process
controllers that can be implemented
on-line due to increasingly efficient
numerical solutions and powerful
computer systems.
Rolling mill process models include:
 Strip
temperature,
Rolling
force, torque and forward slip (flow
stress, friction),
Screw
down and roll gap profile (thermal
crown, wear, bending),
Strip
profile & flatness, width spread
Width
shape (Short Stroke Control,
MAS-Rolling)
Strip cooling process (heat capacity,
-conductivity, transfer, phase
transformations)
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