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WO2025158337A1 - Procédé de régulation de l'aspiration de gaz de traitement dans un four à arc électrique et installation de production d'acier associée - Google Patents

Procédé de régulation de l'aspiration de gaz de traitement dans un four à arc électrique et installation de production d'acier associée

Info

Publication number
WO2025158337A1
WO2025158337A1 PCT/IB2025/050761 IB2025050761W WO2025158337A1 WO 2025158337 A1 WO2025158337 A1 WO 2025158337A1 IB 2025050761 W IB2025050761 W IB 2025050761W WO 2025158337 A1 WO2025158337 A1 WO 2025158337A1
Authority
WO
WIPO (PCT)
Prior art keywords
parameter
vessel
electric arc
flowrate
arc furnace
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/IB2025/050761
Other languages
English (en)
Inventor
Guillaume BROSSE
Imad Eddine AITEUR
Ahmed KHELASSI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ArcelorMittal SA
Original Assignee
ArcelorMittal SA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ArcelorMittal SA filed Critical ArcelorMittal SA
Publication of WO2025158337A1 publication Critical patent/WO2025158337A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
    • C21C5/52—Manufacture of steel in electric furnaces
    • C21C5/5211—Manufacture of steel in electric furnaces in an alternating current [AC] electric arc furnace
    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
    • C21C5/52—Manufacture of steel in electric furnaces
    • C21C5/5211—Manufacture of steel in electric furnaces in an alternating current [AC] electric arc furnace
    • C21C5/5217—Manufacture of steel in electric furnaces in an alternating current [AC] electric arc furnace equipped with burners or devices for injecting gas, i.e. oxygen, or pulverulent materials into the furnace
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27B—FURNACES, KILNS, OVENS OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
    • F27B3/00—Hearth-type furnaces, e.g. of reverberatory type; Electric arc furnaces ; Tank furnaces
    • F27B3/08—Hearth-type furnaces, e.g. of reverberatory type; Electric arc furnaces ; Tank furnaces heated electrically, with or without any other source of heat
    • F27B3/085—Arc furnaces
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27B—FURNACES, KILNS, OVENS OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
    • F27B3/00—Hearth-type furnaces, e.g. of reverberatory type; Electric arc furnaces ; Tank furnaces
    • F27B3/10—Details, accessories or equipment, e.g. dust-collectors, specially adapted for hearth-type furnaces
    • F27B3/28—Arrangement of controlling, monitoring, alarm or the like devices
    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
    • C21C5/52—Manufacture of steel in electric furnaces
    • C21C2005/5288—Measuring or sampling devices
    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C2300/00—Process aspects
    • C21C2300/06—Modeling of the process, e.g. for control purposes; CII
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • F27D2019/0006—Monitoring the characteristics (composition, quantities, temperature, pressure) of at least one of the gases of the kiln atmosphere and using it as a controlling value
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • F27D2019/0006—Monitoring the characteristics (composition, quantities, temperature, pressure) of at least one of the gases of the kiln atmosphere and using it as a controlling value
    • F27D2019/0009—Monitoring the pressure in an enclosure or kiln zone
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • F27D2019/0028—Regulation
    • F27D2019/0034—Regulation through control of a heating quantity such as fuel, oxidant or intensity of current
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P10/00—Technologies related to metal processing
    • Y02P10/20—Recycling

Definitions

  • the present invention concerns a method for controlling the suction of process gases emitted within a vessel of an electric arc furnace (EAF) during its operation.
  • EAF electric arc furnace
  • BF-BOF route consists in producing hot metal in a blast furnace (BF), by use of a reducing agent, mainly coke, to reduce iron oxides and then transform hot metal into steel into a converter process or Basic Oxygen Furnace (BOF).
  • a reducing agent mainly coke
  • BOF Basic Oxygen Furnace
  • the second main route involves so-called “direct reduction methods”.
  • direct reduction methods are methods according to the brands MIDREX®, FINMET®, ENERGIRON®/HYL, COREX®, FINEX® etc., in which sponge iron is produced in the form of HDRI (Hot Direct Reduced Iron), CDRI (Cold Direct Reduced Iron), or HBI (Hot Briquetted Iron) from the direct reduction of iron oxide carriers.
  • Sponge iron in the form of HDRI, CDRI, and HBI undergoes further processing in EAFs to produce steel.
  • vessels of EAFs Compared to vessels of BOFs, vessels of EAFs present more openings which communicate with the surrounding atmosphere (for instance due to the presence of a mobile roof, electrode holes, slag door, etc). These opening can lead to air ingress within the vessel. Said air ingress has several drawbacks. It favors nitrogen pick-up by the molten bath, which can lead to a final nitrogen content incompatible with requirement on the final product.
  • liquid steel produced from a basic oxygen furnace contains from 20 parts per million (ppm) to 90 ppm by weight of nitrogen, compared to from 100 ppm to 140 ppm by weight of nitrogen in liquid steel produced in an electric arc furnace.
  • the nitrogen content of current electric arc furnace (EAF) steel is thus much higher than that of basic oxygen furnace (BOF) steel and cannot meet the requirements of high-grade steel.
  • High nitrogen content can result in inconsistent mechanical properties in hot rolled steels, embrittlement of the heat affected zone (HAZ) of welded steels, and poor cold formability.
  • Air ingresses also lead to heat losses and account for an additional input of oxygen within the vessel. Said oxygen may contribute to the oxidation of iron and thus iron losses in the slag.
  • EAF vessels commonly comprise process gas suction devices. If not adjusted, these devices can either lead to large air ingress within the vessel (in case of depression within the vessel) or lead to excessive emission of process gas and dust in the EAF surroundings (in case of excessive pressure within the vessel).
  • One of the aims of the invention is to solve this problem by proposing a method for controlling the suction of process gases emitted within a vessel of an EAF, which enables an optimal protection of the liquid steel from air ingress, while limiting the use of energy to do so, and limiting leaks of process gases around the vessel.
  • the invention relates to a method for controlling the suction of process gases emitted within a vessel of an electric arc furnace during its operation, the method comprising an adaptation step of adapting the flowrate of sucked in process gases based on the value of at least one parameter, said at least one parameter comprising a flowrate of carbonaceous matter added within the vessel during operation of the electric arc furnace.
  • the flowrate of sucked in gases is adapted as a function of the flowrate of process gases emitted within the vessel.
  • the flowrate of process gases emitted within the vessel is substantially proportional to the flowrate of carbonaceous matter added within the vessel.
  • carbonaceous matter added within the vessel for instance via the carbon lances and/or gas burner, is likely to transform into CO and/or CO2. Therefore, taking into account the flowrate of carbonaceous matter added within the vessel makes it possible to anticipate the increase or decrease of the flowrate of generated process gases and thus to adapt the suction of said process gas to avoid putting the inner volume of the vessel in depression or excess of pressure.
  • the method can further comprise the following features, considered alone or according to any technically feasible combination:
  • the carbonaceous matter added within the vessel during operation of the electric arc furnace comprises carbon containing gases, said carbon containing gases being added within the vessel by a gas burner and/or a carbon lance;
  • the adaptation step is such that, during operation of the electric arc furnace, the gas pressure within the vessel is substantially equal to the atmospheric pressure minus 0.15mBar;
  • the method comprises a determination step of determining the value of the at least one parameter
  • the operation of the electric arc furnace is carried out during a time period, the adaptation step being carried out at several adaptation instants within the time period;
  • the value of the at least one parameter of the adaptation step of each adaptation instant is a current actual value of the at least one parameter at the adaptation instant
  • the adaptation step is further based on a machine learning model which takes into account:
  • the adaptation step is further based on the value of at least one additional parameter, the at least one additional parameter comprises at least one of the following:
  • At least one flame parameter representative of flames generated within the vessel comprising for example the temperature of the flames and/or the size of the flames
  • the invention further relates to a steel production installation comprising at least: - an electric arc furnace comprising a vessel and at least one device for adding carbonaceous matter within the vessel during operation of the electric arc furnace;
  • an apparatus for sucking in process gases emitted within the vessel of the electric arc furnace during its operation comprising:
  • At least one sensor configured for generating data representative of at least one parameter, said at least one parameter comprising a flowrate of carbonaceous matter added within the vessel;
  • control module adapted to receive the data representative of the at least one parameter and configured for adapting a suction flowrate of the gas sucking device based on the at least one parameter.
  • the steel production installation can further comprise the following features, considered alone or according to any technically feasible combination:
  • the carbonaceous matter added within the vessel during operation of the electric arc furnace comprises carbon containing gas, the at least one carbonaceous matter adding device comprising a gas burner and/or a carbon lance;
  • control module is configured for adapting the suction flowrate of the gas sucking device such that, during operation of the electric arc furnace, the gas pressure within the vessel is substantially equal to the atmospheric pressure minus 0.15mBar;
  • the electric arc furnace is designed to be operated during a time period, the control module being configured for adapting the suction flowrate of the gas sucking device at several adaptation instants within the time period;
  • control module is configured for adapting the suction flowrate of the gas sucking device at each adaptation instant based on a current actual value of the at least one parameter at the adaptation instant;
  • control module is configured for adapting the suction flowrate of the gas sucking device at each adaptation instant based on a machine learning model which takes into account:
  • Fig. 1 is a diagrammatical representation of a part of a steel production installation in cross-section according to an embodiment of the invention.
  • FIG. 2 is a schematic illustration of a method for controlling the suction of process gases emitted within a vessel of an EAF, according to an embodiment of the invention.
  • the flowrates are mass flow rates.
  • the steel production installation 10 comprises at least an electric arc furnace 20 (EAF) and an apparatus 60 for sucking in process gases emitted within a vessel 22 of the EAF 20 during its operation.
  • EAF electric arc furnace 20
  • the EAF 20 is designed to receive a metallic material to be melted.
  • the EAF 20 is designed to be operated during a time period.
  • the EAF 20 comprises the vessel 22 delimiting an inner volume 24 wherein the metallic material is introduced.
  • the vessel 22 comprises a bottom wall 26, lateral walls 27 and a removable roof 28 designed to cooperate with the lateral walls 27 and the bottom wall 26 to delimit the inner volume 24.
  • the metallic material comprises steel scrap, for instance with pig iron and/or direct reduced iron (DRI).
  • the steel scrap that can be used is referred to, in the Ell-21 Steel Scrap specification, as old scraps (E1 or E3), new scraps (E8), shredded scraps (E40) or fragmentized scraps (E46).
  • the metallic material melted into the EAF comprises at least 40% in weight of DRI, preferably from 40% to 60% in weight of DRI.
  • the DRI comprises from 0% to 2.5% in weight of carbon.
  • the percentage of DRI and/or of pig iron in the charge is highly dependent on the quality of the steel scrap which can be used and of the steel grade to be produced. If the level of impurities, such as copper, chromium, molybdenum, nickel, tin, antimony, zinc and/or arsenic is low then the quantity of scrap to be charged may be increased and thus the quantity of DRI decreased.
  • the EAF comprises at least one device 30 for loading the metallic material into the inner volume 24.
  • the EAF 20 further comprises at least one device 42 for adding carbonaceous matter within the vessel 22 during operation of the EAF 20.
  • the EAF 20 further comprises at least one electrode 38 and a cooling system 50.
  • the at least one metallic material adding device 30 is configured for adding metallic material within the vessel 22, that is in the inner volume 24, with a flowrate X1.
  • the flowrate X1 is such that the flowrate of DRI added within the inner volume 24 is from 50 tons/hour to 300 tons/hour, for instance for a duration substantially equal to 30 min.
  • the at least one metallic material adding device 30 comprises a source 32 of metallic material, such as a container, and advantageously a hopper 34 designed to guide the metallic material from the source 32 to the inner volume 24.
  • the at least one electrode 38 is arranged to extend at least partially within the inner volume 24 to produce an electric arc radiating heat in the inner volume 24.
  • the electrode 38 is electrically connected to a power source (not shown) and extends at least partially inside the inner volume 24.
  • the electrode 38 is preferably operated using CO2 neutral electricity which includes notably electricity from renewable sources which is defined as energy that is produced from renewable resources, which are naturally replenished on a human timescale, including sources like sunlight, wind, rain, tides, waves, and geothermal heat.
  • the use of electricity coming from nuclear sources can be used as it is not emitting CO2 to be produced.
  • the electrode 38 is movable relative to the inner volume 24 such that the height of the electrode 38 extending inside the inner volume 24 is adjustable.
  • the EAF 20 comprises several parallel electrodes 38.
  • a plurality of electrodes 38 is more particularly provided for an EAF powered by alternative current.
  • a single top electrode can be used in combination with at least one bottom electrode.
  • the at least one carbonaceous matter adding device 42 is configured for adding carbonaceous matter within the vessel 22, that is in the inner volume 24, with a flowrate X2.
  • the flowrate X2 is from 0 kg/min to 400 kg/min.
  • the flowrate X2 depends on the size of the inner volume 24 and is expressed in kg/min/t, wherein the unit of flowrate takes into account the weight of metallic material which can be added within the inner volume 24 in ton.
  • the flowrate X2 is from 0 kg/min/t to 2.66 kg/min/t, preferably substantially equal to 1.5 kg/min/t.
  • the at least one carbonaceous matter adding device 42 comprises at least one gas burner 44 and/or at least one carbon lance 46.
  • the at least one gas burner 44 is configured to assist the electrode(s) 38 in melting the metallic material, by supplying additional energy in the inner volume 24.
  • the at least one gas burner 44 is designed to add carbonaceous matter, for example natural gas, within the vessel 22 with a flowrate X2A.
  • the flowrate X2A depends on the size of the inner volume 24 and is expressed in Nm 3 /h/t, wherein the unit of flowrate takes into account the weight of metallic material which can be added within the inner volume 24 in ton.
  • the flowrate X2A is from 0 Nm 3 /h/t to 5 Nm 3 /h/t per gas burner 44, preferably substantially equal to 4 Nm 3 /h/t per gas burner 44.
  • the at least one carbon lance 46 is configured to add carbonaceous gases within the inner volume 24, to control foaming slag and post-combustion.
  • the at least one carbon lance 46 is designed to add carbonaceous matter within the vessel 22 with a flowrate X2B.
  • the flowrate X2B depends on the size of the inner volume 24 and is expressed in kg/min/t, wherein the unit of flowrate takes into account the weight of metallic material which can be added within the inner volume 24 in ton.
  • the flowrate X2B is from 0 kg/min/t to 2.66 kg/min/t per carbon lance, preferably substantially equal to 0.5 kg/min/t par carbon lance.
  • the cooling system 50 comprises a network of cooling ducts 52 integrated within the walls 26, 27 and/or within the roof 28 of the vessel 22.
  • Said network of cooling ducts 52 is designed to enable the circulation of a cooling fluid, such as water, within the walls 26, 27 and/or roof 28 of the vessel 22.
  • Said cooling fluid is designed to drain the heat away from within the vessel 22.
  • the process gas sucking apparatus 60 which is also typically called primary dedusting system or apparatus, comprises a device 62 for sucking in gases from within the vessel 22, at least one sensor 70, advantageously at least one additional sensor 72, and a control module 80.
  • the gas sucking device 62 is designed to suck in process gases from within the vessel 22 with a flowrate Y.
  • the flowrate Y is from 50,000 Nm 3 /h to 200,000 Nm3/h , in particular for an EAF with a capacity of 150t.
  • the flowrate Y is substantially equal to 150,000 Nm3/h.
  • the gas sucking device 62 comprises a duct 64 in fluidic communication with the inner volume 24.
  • the gas sucking device 62 further comprises a fan 66 in fluidic communication with the duct 64.
  • the flowrate Y of sucked in gases depends on a suction power of the fan 66 and/or on configuration of valves of the gas sucking device 62, for example arranged within the duct 64.
  • the at least one sensor 70 is configured for generating data representative of at least one parameter.
  • Said at least one parameter comprises the flowrate X2 of carbonaceous matter added within the vessel 22 by the at least one carbonaceous matter adding device 42.
  • Said flowrate X2 advantageously comprises the flowrates X2A and X2B of carbonaceous matter added respectively by the at least one gas burner 44 and by the at least one carbon lance 46.
  • the carbonaceous matter added within the vessel 22 during the operation of the EAF 20 comprises the carbon containing gases added within the vessel by the at least one gas burner 44 and/or the at least one carbon lance 46.
  • the addition of carbonaceous matter within the vessel 22 leads to an increase in the flowrate of generated process gases.
  • the added carbon reacts with the oxides present in the metallic material to form carbonaceous gas, such as CO.
  • the at least one parameter further comprises the flowrate X1 of metallic material added within the vessel 22 by the at least one metallic material adding device 30. Based on the flowrate X1 and on a carbon content in weight of the added metallic material, a flowrate of carbonaceous matter added within the vessel 22 by the at least one metallic material adding device 30 can be derived.
  • the at least one sensor 70 comprises at least one added carbonaceous matter sensor 70A configured for generating data representative of the flowrate of carbonaceous matter added within the vessel 22 by the at least one carbonaceous matter adding device 42.
  • the at least one added carbonaceous matter sensor 70A comprises a first sensor 70A1 configured for generating data representative of the flowrate of carbonaceous matter added within the vessel 22 by the at least one gas burner 44 and a second sensor 70A2 configured for generating data representative of the flowrate of carbonaceous matter added within the vessel 22 by the at least one carbon lance 46.
  • the at least one sensor 70 further comprises at least one added metallic material sensor 70B configured for generating data representative of the flowrate X1 of metallic material added within the vessel 22 by the at least one metallic material adding device 30.
  • the at least one additional sensor 72 is configured for generating data representative of at least one additional parameter.
  • said at least one additional parameter comprises at least one among the following:
  • the mechanical waves comprise soundwaves propagating within the inner volume and vibrations propagating within the walls 26, 27.
  • soundwaves generated by the electric arc is muffled by the slag foaming, said slag foaming occurring with the generation of process gas;
  • Process gases are hot and their generation leads to the warming up of the walls 26, 27 and/or the roof 28 of the vessel;
  • the flame parameter comprising the temperature of the flames and/or the size of the flames for instance.
  • Flames with high temperature and large size are a sign that a significant amount of process gases is generated. For instance, the flames emerge from the gap between the lateral walls 27 and the removable roof 28 and/or between panels of the lateral walls 27 and removable roof 28; and
  • - at least a chemical parameter representative of the nature of the components of the process gases, such as a volume fraction of the components of the process gases and/or the temperature of the components of the process gases.
  • the at least one additional sensor 72 comprises at least one among the following:
  • At least a sensor 72A for generating data representative of the at least one electrical parameter, for instance an ammeter, a voltmeter and/or a Rogowski coil;
  • a sensor 72B for generating data representative of the at least one mechanical parameter, for example a microphone arranged within the inner volume and/or an accelerometer attached to a wall 26, 27;
  • a sensor 72C for generating data representative of the temperature of the walls 26, 27 and/or roof 28 of the ladle 22, for example a thermometer, a thermocouple or a pyrometer;
  • - at least a sensor 72D for generating data representative of the pressure of the process gases, for example a pressure sensor;
  • a sensor 72E for generating data representative of the at least one flame parameter for example a thermal camera arranged outside of the EAF 20 and capable of recording the flames emerging from the gap between the lateral walls 27 and the removable roof 28 and/or between panels of the lateral walls 27 and/or removable roof 28; and
  • the control module 80 is adapted to receive the data representative of the at least one parameter and is configured for controlling the suction flowrate Y of the gas sucking device 62 based on the at least one parameter. For instance, the control module 80 control the suction flowrate Y of the gas sucking device 62 by adapting the suction power of the fan 66 and/or the configuration of the valves arranged within the duct 64.
  • control module 80 is configured for adapting the suction flowrate Y of the gas sucking device 62 so that the pressure of the inner volume 24 is a slightly sub-atmospheric pressure, in particular so that the gas pressure within the vessel 22 is substantially equal to the atmospheric pressure minus 0.15mBar.
  • control module 80 is configured for adapting the suction flowrate Y of the gas sucking device at several adaptation instants within the time period during which the EAF 20 is operated.
  • control module 80 is configured for adapting the suction flowrate Y of the gas sucking device 62 at each adaptation instant based on a value of the at least one parameter, for example based on a current actual value of the at least one parameter at the adaptation instant.
  • the control module 80 is configured for deriving the value of the at least one parameter as a function of the data representative of the at least one parameter it receives from the at least one sensor 70.
  • the control module 80 takes into account delays of measurements of the sensors 70, 72 and response times of actuators of the gas-sucking device 62 (in particular of actuators controlling the fan 66 and/or the valves arranged within the duct 64).
  • control module 80 is further configured for adapting the suction flowrate Y of the gas sucking device 62 at each adaptation instant based on a value of the at least one additional parameter, for example based on a current actual value of the at least one additional parameter at the adaptation instant.
  • control module 80 is further configured for adapting the suction flowrate Y of the gas sucking device 62 at each adaptation instant based on a machine learning model which takes into account:
  • control module 80 is configured to adapt the suction flowrate Y so that it is substantially equal to a suction flowrate which was associated to previous values of the at least one parameter and/or of the at least one additional parameter corresponding to current actual values of the at least one parameter and/or of the at least one additional parameter.
  • control module 80 is made in the form of software, or a software brick, executable by a processor of an electronic device (not shown).
  • the memory of the electronic device is then able to store the control software.
  • the processor is then able to execute the software.
  • control module is produced in the form of a programmable logic component, such as an FPGA (Field Programmable Gate Array), or an integrated circuit, such as an ASIC (Application Specific Integrated Circuit).
  • a programmable logic component such as an FPGA (Field Programmable Gate Array)
  • an integrated circuit such as an ASIC (Application Specific Integrated Circuit).
  • the electronic device When the electronic device is implemented in the form of one or more software programs, i.e. in the form of a computer program, also referred to as a computer program product, it is also capable of being recorded on a computer-readable medium, not shown.
  • the computer-readable medium is, for example, a medium capable of storing electronic instructions and of being coupled to a bus of a computer system.
  • the readable medium is an optical disc, a magneto-optical disc, a ROM memory, a RAM memory, any type of non-volatile memory (for example FLASH or NVRAM) or a magnetic card.
  • a computer program containing software instructions is stored on the readable medium.
  • the method 100 is carried out at each of several adaptation instants of the time period during which the EAF 20 is operated.
  • the method 100 comprises a step 110 of measuring the current actual value of the at least one parameter.
  • the at least one parameter comprises the flowrate X2 of carbonaceous matter added within the vessel 22.
  • the carbonaceous matter added within the vessel during operation of the EAF 20 comprises carbon containing gases added within the vessel by the at least one gas burner 44 and/or the at least one carbon lance 46.
  • the at least one parameter further comprises the flowrate X1 of metallic material added within the vessel 22 by the at least one metallic material adding device 30.
  • step 110 the current actual value of the at least one additional parameter is also measured.
  • the step 110 in particular the measurement of the flowrate X2, is carried out by the at least one sensor 70, in particular by the added carbonaceous matter sensor 70A, in particular by first and second sensors 70A1 , 70A2.
  • the measurement of the flowrate X1 of metallic material added within the vessel 22 by the at least one metallic material adding device 30 is carried out by the at least one sensor 70B.
  • the flowrate of carbonaceous matter added by the at least one metallic material adding device 30 is derived based on the flowrate X1 of added metallic material and on the content of carbon in weight of the added metallic material.
  • the step 110 in particular the measurement of the current actual value of the at least one additional parameter, is further carried out by the at least one additional sensor 72.
  • the at least one sensor 70 and optionally the at least one sensor 70B generate data representative of the at least one parameter. For instance, said data are representative of the current actual value of the at least one parameter.
  • the at least one additional sensor 72 generates data representative of the at least one additional parameter. For instance, said data are representative of the current actual value of the at least one additional parameter.
  • the method 100 further comprises a step 120 of reception of the data representative of the at least one parameter and/or representative of the at least one additional parameter by the control module 80.
  • the method 100 further comprises a step 130 of determining the value of the at least one parameter and/or of the at least one additional parameter.
  • the step 130 is carried out by the control module 80 based on the data representative of the at least one parameter and/or the at least one additional parameter it receives from the at least one sensor 70 and/or the at least one additional sensor 72.
  • the step 130 comprises determining the current actual value of the at least one parameter and/or the at least one additional parameter at the adaptation instant.
  • the method 100 further comprises a step 140 of adapting the flowrate Y of sucked in process gases based on the value of the at least one parameter.
  • the step 140 is further based on the value of the at least one additional parameter.
  • the step 140 is such that, during operation of the EAF 20, the pressure of the inner volume 24 is a slightly sub-atmospheric pressure, in particular such that the gas pressure within the inner volume 24 is substantially equal to the atmospheric pressure minus 0.15mBar.
  • the step 140 is further based on the machine learning model described above.
  • the adaptation step 140 is carried out so that the suction flowrate is substantially equal to said specific suction flowrate.
  • the method 100 further comprises a step 150 of sucking in process gases emitted within the vessel 22 of the EAF 20 during its operation, with the suction flowrate Y adapted at the step 140.
  • the at least one additional parameter comprises at least one of the following:
  • At least one flame parameter representative of flames generated within the vessel 22 comprising for example the temperature of the flames and/or the size of the flames;
  • the flowrate Y of suction of the process gases is adapted as a function of the flowrate of process gases generated within the vessel. Taking into account one or several parameters listed above allows obtaining an adaptation of the suction flowrate which is particularly accurate. This makes it possible to optimally protect the molten bath from air ingresses, while limiting the use of energy to suck in the process gases and limiting the leaks of process gases in the surroundings of the vessel 22.

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Materials Engineering (AREA)
  • Metallurgy (AREA)
  • Organic Chemistry (AREA)
  • Vertical, Hearth, Or Arc Furnaces (AREA)

Abstract

Le procédé de régulation de l'aspiration de gaz de traitement émis à l'intérieur d'une cuve (22) d'un four à arc électrique (20) lors de son fonctionnement comprend une étape d'adaptation consistant à adapter le débit (Y) de gaz de traitement aspirés en fonction de la valeur d'au moins un paramètre, ledit au moins un paramètre comprenant un débit (X2) de matière carbonée ajoutée à l'intérieur de la cuve (22) pendant le fonctionnement du four à arc électrique (20).
PCT/IB2025/050761 2024-01-25 2025-01-24 Procédé de régulation de l'aspiration de gaz de traitement dans un four à arc électrique et installation de production d'acier associée Pending WO2025158337A1 (fr)

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IBPCT/IB2024/050706 2024-01-25
PCT/IB2024/050706 WO2025158177A1 (fr) 2024-01-25 2024-01-25 Procédé de régulation de l'aspiration de gaz de traitement dans un four à arc électrique et installation de production d'acier associée

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PCT/IB2025/050761 Pending WO2025158337A1 (fr) 2024-01-25 2025-01-24 Procédé de régulation de l'aspiration de gaz de traitement dans un four à arc électrique et installation de production d'acier associée

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4450003A (en) 1981-12-01 1984-05-22 Societe Francaise D'electrometallurgie Sofrem Process and apparatus for the recovery of combustible gases in an electrometallurgy furnace
US4646315A (en) * 1984-10-04 1987-02-24 Pennsylvania Engineering Corporation Arc furnace burner control method and apparatus
EP0884545B1 (fr) * 1993-09-30 2002-07-10 Ishikawajima-Harima Jukogyo Kabushiki Kaisha Four à arc électrique

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4450003A (en) 1981-12-01 1984-05-22 Societe Francaise D'electrometallurgie Sofrem Process and apparatus for the recovery of combustible gases in an electrometallurgy furnace
US4646315A (en) * 1984-10-04 1987-02-24 Pennsylvania Engineering Corporation Arc furnace burner control method and apparatus
EP0884545B1 (fr) * 1993-09-30 2002-07-10 Ishikawajima-Harima Jukogyo Kabushiki Kaisha Four à arc électrique

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