Steel Manufacturing Process Aspects TRIZ Cases
- Clean Steel Preparation via Segmented Desulfurization and Self-Service Slag
Self-service slag recovery removes harmful elements to lower production costs.
- Blast Furnace Heat Estimation via Sensible Heat Dynamics
Estimates heat supplied to pig iron by tracking sensible heat changes in passing gas and preheated raw materials.
- Top-Blowing Lance Jetting Control for Molten Iron Dephosphorization
A top-blowing lance adjusts oxygen jet penetration depth through the slag layer to stabilize iron oxide supply at the interface.
- Spheroidal Graphite Cast Iron Production for Brake Calipers
A spheroidizing agent containing no rare-earth element produces stable spheroidal graphite cast iron.
- Twin AOD-L Converters for Stainless Steel Autogenous Heating
Twin AOD-L converters split liquid pig iron to enable autogenous heating and decarburization without electrical energy.
- Converter Process Control via Exhaust Gas Analysis
A process model-independent sub-model calculates critical decarburization points using exhaust gas analysis signals.
- Hearth Furnace Iron Nugget Sulfur Control
Segmented hearth zones remove sulfur from iron oxide without MgO additives, lowering slag melting temperature and refractory wear.
- Ammonia-Based Metal Oxide Reduction with Top Gas Recycling
Recycles top gas from ammonia reduction reactors to prepare reducing agents, utilizing residual heat to eliminate external energy input requirements.
- Steel Slag Stabilization via Basicity and Aluminium Control
Adjusting liquid steel slag basicity with low basicity additives and aluminium oxide creates stable crystalline aggregates.
- Metallurgical Furnace Cooling System Flow Regulation
A metallurgical furnace cooling system uses a downstream flow regulating arrangement with a calibrated orifice and valve to control coolant fluid distribution.
- Furnace State Estimation via Mass and Heat Balance Error Minimization
A furnace state estimation device determines model parameters using past track record information to calculate molten metal component concentrations.
- Low Carbon Steel Tapping Temperature and Oxygen Control
Segmented EAF and LMF processing reduces refractory wear while maintaining carbon below 0.035%.
- Blast Furnault Fault Diagnosis Rules via Deep Neural Network and Decision Tree
Decision tree extraction converts deep neural network weights into transparent if-then rules, reducing false judgments in blast furnace operations.
- Blast Furnace Hot-Metal Temperature Control via Unburned Coal Detection
A hot-metal temperature control system detects unburned pulverized coal accumulation through shaft pressure standard deviation analysis.
- Furnace Load Measurement via Segmented Roller Weighing
Automatic system weighs furnace shell contents using dual-redundant sensors on support rollers.
- Molten Metal Carbon Estimation via Dynamic Model Switching
A molten metal component estimation device switches between static and dynamic models to track carbon concentration during steel refining.
- Converter Side Wall Nozzles for Molten Metal Mixing Control
Side wall nozzles generate countercurrent gas flow to enhance mixing intensity, preventing molten iron ejection during decarburization.
- Blast Furnace Hot Metal Temperature Prediction via Drift Coefficient
Adjusting physical model void ratio parameters accounts for non-uniform gas flow drift, resolving prediction accuracy issues in blast furnace operations.