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Pulp Machine Control Pulp Machine Control
Effective operation of the pulp machine can be extremely difficult.

Effective operation of the pulp machine can be extremely difficult.

The basis weight and moisture content are very sensitive to small changes in the feed system and are tightly coupled. Production rate changes must be based on very accurately timed changes in thick stock flow, speed, and dryer pressure to avoid upsets. Upset conditions can easily cause a sheet break resulting in lost production.

Implement our proven machine control strategy.

Our machine control strategy stabilizes the sheet machine direction basis weight and air dry content by employing a model-based, multivariable control strategy. The model is based on machine speed, thick stock flow, headbox pressure or level, and dryer pressure and can easily be extended to include disturbances such as broke addition.

Features:

  • Maximizing production is inherently included, so that the system will automatically default to air dry control over basis weight control if the process is dryer limited
  • Fully automated production ramping is included
  • Disturbance rejection is a key part of the system
  • Intelligent use of scanner data is built into the system
  • Flexible use of instrumentation is part of the design
  • Model deadtime varies based on the production rate, so that as the machine slows down, the feedback slows
  • Model predictive and expert system logic for decision-making provides flexibility and the ability to respond effectively to the widest possible variety of real-time conditions
Ensure effective plant operations
Respond to process changes effectively
Avoid lost production
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Proven Results

In collaboration with our Customer, Spartan implemented a process control optimization project on a pulp machine in northern British Columbia. The basis weight and air dry variability were reduced by over 60%, machine startups became 50% faster and overall production was optimized. This resulted in annual production benefit of over $3,000,000/year.