P-Ofen

TotOptLis – Through-process optimisation of liquid steelmaking

Initial situation:

  • Process control in secondary metallurgy is based on static operating instructions and manual interventions, taking into account measurements and model calculations at individual treatment stations.
  • Target values for single treatment steps do not ensure optimal overall process operation.

Working topics:

  • Development of through-process dynamic models for observation and prediction of steel temperature and steel quality parameters (esp. regarding desulphurisation, degassing, slag conditions).
  • Development of multi-criteria optimisation tools based on operating instructions defined in a manufacturing execution system (MES) coupled to dynamic model prediction calculations.

Results:

  • Optimal adoption of countermeasures when deviations from standard treatment practices regarding quality relevant process parameters occur.
  • Unified cost-effective and resource saving process operation, taking into account the whole chain of treatment steps.

Gallery

Recommendation

PowGETEG – TEG for high temperature waste heat recovery

Initial situation: Industries involve a huge amount of energy demand. A considerable amount of this energy is lost and escapes […]

HiJetRod Pilot – Resource-efficient hydromechanical descaling system for wire coils

Initial situation Descaling of stainless steel wire requires several pickling steps with high consumption of chemicals and long treatment time. […]

SPOTVIEW – Sustainable Processes and Optimized Technologies for Industrially Efficient Water Usage in steel, dairy or pulp and paper industry

Initial situation Water use in steel industry: 1980 million m³ for production of 169 million tons crude steel divided in […]

FOMTM – Fibre optical thermal monitoring at CC billet mould

Initial situation: The initial solidification of the molten steel is important for determining the quality of the cast product Rim formation […]