SIROLLCIS CM Solutions for cold rolling mills - Industry - Siemens

Rolling strategy
Process control models
Set-up calculation
(“pre-calculation“)
Process
automation
Physical models
Neural networks
to adapt
physical parameters
“Post-calculation“
Adaption
Basic automation
Measured data
acquisition
Analytic process models in combination with neural networks
Process automation server
The strip-temperature model
Strip temperature is modeled and
controlled for two reasons: to produce
specific material properties and to avoid
excessive lubricant temperatures that
could cause surface defects.
The strip-temperature model
incorporated into Siemens VAI process
control employs a finite-difference
method based on Fourier’s equation of
heat conduction.
The roll-temperature and
roll-wear model
The roll-temperature and roll-wear model
calculates the time-dependent thermal
roll contours (roll contour – diameter as a
function of axial position) of all the rolls
in a mill stand: the work rolls,
intermediate rolls and back-up rolls.
The roll contour is also affected by wear,
the second aspect factored into the rolltemperature
and roll-wear model.
Siemens VAI has developed a special
online solution method to optimize the
tradeoff between precision and speed of
calculation.
The material flow and gap model
Material flow across the width of the strip
as it passes through the roll gap provides
the data for calculating strip flatness,
strip profile and edge drop.
The roll gap model calculates threedimensional
deformation in the roll gap.
Small as it is in cold rolling, lateral flow is
an important factor in determining strip
shape, particularly at the edges of the
strip.
Speed optimization
Flexible production planning can result in
the necessity to run different process
speeds in the pickling plant and tandem
mill. Speed optimization aims to
maximize the production rate while
maintaining the high quality of the
finished strip. This function also covers
planned stops of mill sections, e.g. due to
trimming knife changes or roll changes;
measured values and signals from the
line; technological prescriptions;
individual strategies; and reaction to
detected strip defects.
Coil building
SIROLL CIS CM enables data management
and provides set-point for “m to n coil
handling”. An incoming coil consisting of
m welded sections can be rolled and
divided to n outgoing coils. At the end,
SIROLL CIS CM incorporates advanced cut
control for building coils. The options
include manual cutting, inspection
cutting, and jumbo-coil rolling by cut
criteria such as coil weight or coil
diameter. The ability to change target
gauges on the fly (flying gauge change)
is essential for cost-effective continuous
cold rolling.
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