Steel Manufacturing Process Aspects TRIZ Cases

An exhaust gas analyzer monitors unburned fluid concentration to dynamically adjust combustion-supporting fluid supply and reduce peroxidation.

Relocating the rotary joint above the feeder spout outlet reduces seal circumferential speed, enabling high-pressure coolant flow.

A mobile loading plane on a connection conveyor positions inside the furnace to distribute first charge material evenly across the bottom surface.

Segmenting solid-state direct reduced iron melting into two furnaces reduces gangue-induced slag generation, improving molten steel yield from low-grade ore.

Extracting embedded steel from scrap tires allows organic material to act as a reducing agent and slag foaming agent, lowering coke consumption.

Dual AOD converters process pig iron in parallel using autogenous chemical energy from silicon oxidation to produce austenitic and ferritic stainless steel grades.

Accelerometer-based lance vibration analysis detects component frequencies to predict steelmaking slopping conditions in real time.

A measuring device combines electromagnetic and acoustic probes to scan bulk material surfaces in blast furnaces.

Segmented slag separation prevents FeO elution into waste, preserving metallic iron yield and reducing refractory erosion during low-grade ore processing.

A computation section estimates cold iron source melting ratios using real-time molten iron temperature and carbon concentration data.

A steel manufacturing method calculates expected CO2 emissions against predefined targets to optimize raw materials and processes across multiple units.

Estimates supply heat quantity using carried-out sensible heat, carried-in sensible heat, and deadman coke heat content.

A prediction model calculates slagging lime addition for ladle furnace refining using sulfur distribution ratios and mass conservation principles.

A control device measures reaction gas temperature and flow to calculate instantaneous heat output for regulating input material charging.

Estimates charged material deposition inside a blast furnace to enable precise coke replacement during startup operations.

A blast control device uses image analysis to extract particle size data from charging materials in a blast furnace.

Radio wave distance meters derive burden surface profiles during charging, allowing immediate adjustment of blowing amounts to stabilize gas flow distribution.

Segmented fluidized bed zones and counterflowing inert gas raise output energy storage density while managing structural complexity.

A defined mixture of metal oxide, iron carrier, carbon, and binding material reacts under the slag layer to produce gaseous carbon monoxide.

Vacuum tank degasser reduces carbon content while protecting refractories from wear.

Microalloyed steel reaches 1050 MPa tensile strength via controlled cooling, eliminating quenching requirements.

Segmented zones and microwave barriers confine energy to lower sub zones, preventing loss while reducing carbon emissions.

A blast furnace operation method adjusts reducing gas volume based on the molar ratio of carbon to hydrogen atoms in the gas.

Fusing sensor data with AI algorithms provides proactive operation guidance that stabilizes heat and air permeability in blast furnaces.

A blowing control apparatus monitors oxygen accumulation in a converter furnace to determine optimal end-point oxygen levels.

Infrared thermometer inside oxygen lance measures fire point area temperature to dynamically adjust CO2 and O2 mixing ratios.

A method for producing cast iron with vermicular graphite uses oxygen activity and sulfur content to calculate precise inoculant quantities.

Carbonating aggregated solid slag particles produces a stable foaming former that prevents fine particle blow-out while recycling metal inclusions.

Composite pellets with thermoplastic and cellulosic materials reduce coke consumption while maintaining furnace permeability.

Vacuum treatment with specific slag composition removes sulfur and nitrogen from molten steel, reducing refractory wear and eliminating aluminum additives.

A two-stage converter method refines molten iron by separating dephosphorization from chromium alloy addition to produce stainless steel.

Coupling the direct reduction system and electric melting furnace with a shared controller optimizes metallization efficiency while minimizing CO2 emissions.

Continuous injector status monitoring prevents thermal damage and clogging while eliminating unnecessary replacements.

An intermediary heating stand burns carbon in molten pig iron via oxygen injection, eliminating waiting times and freezing risks between converter stages.

Sealed tapping chute links electric arc furnace to refinement bed for uninterrupted molten steel flow.

A converter blowing control method estimates pre-blowing molten iron temperature to refine heat balance calculations.

A steelmaking process combining electric arc furnace melting with vacuum degassing to produce clean steel products.

Weighing devices on support rollers track furnace shell weight changes to regulate scrap feeding, resolving manual measurement imprecision.

Monitoring electrode current signals identifies the melting phase state, enabling precise charging timing that reduces energy losses and extends furnace life.

An intelligent system replaces manual experience to predict converter tapping quantity, resolving accuracy issues from molten iron variations.

Vacuum tank degasser reduces carbon content below 0.035% while minimizing refractory wear and production costs.

Segmented sonic oxidant injection eliminates hot spots and refractory damage while maintaining optimal temperature distribution.

Information processing apparatus manages molten steel refining operations through automated calculation of timing and sequence for each process step.

Effective medium approximation links electromagnetic properties to metallic iron content, resolving accuracy limits in direct reduction process control.

A manufacturing method defines multiple steel production routes and calculates expected CO2 emissions to select the lowest emission pathway.

A common control device coordinates direct reduction systems and electric melting furnaces to distribute carburization work across the plant network.

An image-based system estimates furnace slag weight to resolve measurement inaccuracies caused by throat shape changes and air bubbles.

A flow control valve system uses stage-based settings to maintain constant discharge rates during batch processing.

Temporal and spatial attention mechanisms in an encoder-decoder network predict sintering burning through point, resolving the 40-minute detection lag.

Acoustic sensors detect structure-borne noise in the vacuum melt ladle to measure foamed slag height and prevent boil-over.