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EP1310573A2 - Procédé pour la production d'une fonte de métal à base d'un modèle de processus dynamique, inclus un modèle de correction - Google Patents

Procédé pour la production d'une fonte de métal à base d'un modèle de processus dynamique, inclus un modèle de correction Download PDF

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Publication number
EP1310573A2
EP1310573A2 EP02450259A EP02450259A EP1310573A2 EP 1310573 A2 EP1310573 A2 EP 1310573A2 EP 02450259 A EP02450259 A EP 02450259A EP 02450259 A EP02450259 A EP 02450259A EP 1310573 A2 EP1310573 A2 EP 1310573A2
Authority
EP
European Patent Office
Prior art keywords
variable
model
process variable
der
actual
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.)
Granted
Application number
EP02450259A
Other languages
German (de)
English (en)
Other versions
EP1310573A3 (fr
EP1310573B1 (fr
Inventor
Norbert Dipl.-Ing. Dr. Ramaseder
Stefan Dipl.-Ing. Dr. Dimitrov
Johannes Dipl.-Ing. Steins
Yuyou Dipl.-Ing. Dr. Zhai
Johannes Dipl.-Ing. Dr. Müller
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.)
Primetals Technologies Austria GmbH
Original Assignee
Voest Alpine Industrienlagenbau GmbH
Siemens VAI Metals Technologies GmbH and Co
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
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First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=3688935&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=EP1310573(A2) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Voest Alpine Industrienlagenbau GmbH, Siemens VAI Metals Technologies GmbH and Co filed Critical Voest Alpine Industrienlagenbau GmbH
Publication of EP1310573A2 publication Critical patent/EP1310573A2/fr
Publication of EP1310573A3 publication Critical patent/EP1310573A3/fr
Application granted granted Critical
Publication of EP1310573B1 publication Critical patent/EP1310573B1/fr
Anticipated expiration legal-status Critical
Revoked legal-status Critical Current

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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
    • C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
    • 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
    • C21C5/005—Manufacture of stainless steel
    • 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
    • C21C5/28—Manufacture of steel in the converter
    • C21C5/42—Constructional features of converters
    • C21C5/46—Details or accessories
    • C21C5/4673—Measuring and sampling devices
    • 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
    • F27D21/00—Arrangement of monitoring devices; Arrangement of safety devices
    • F27D21/0014—Devices for monitoring temperature
    • 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
    • F27D21/00—Arrangement of monitoring devices; Arrangement of safety devices
    • F27D21/0035—Devices for monitoring the weight of quantities added to the charge

Definitions

  • the disadvantage here is that there is no continuous recording over the entire treatment time and the plausibility of the calculated temperature and analysis values is checked.
  • the Process optimization is difficult in this way if it is feasible, especially if the conditions in the melting unit (change in refractory temperature, change in Refractory strength, change in reaction volume, ...) are also taken into account.
  • the invention according to EP 0 857 222 B1 relates to a process for decarburizing a molten steel for the production of high-chromium-containing steels, in which the decarburization rate is measured continuously and the amount of oxygen to be blown in is set as a function of the measured values, the decarburization rate being determined from the CO and CO 2 content in the exhaust gas and the exhaust gas flow is determined.
  • the measurement of the exhaust gas compositions listed above is possible, but relatively inaccurate.
  • the position of the measuring probe in the exhaust gas flow must be positioned in the vicinity of the mouth of the crucible, on the one hand to obtain the exhaust gas information relatively quickly and on the other hand to minimize / avoid the falsification of the exhaust gas composition by fresh air entering the crucible mouth area.
  • This method is less suitable for the production of alloyed steels, since metal oxidation is not taken into account and cannot be determined with this method either.
  • the implementation of the method according to the invention can be carried out all the better if the faster the measurement data are available after the measurement has been carried out.
  • temperature measurement as well as for chemical analysis are known measuring methods (WO 97/22859 and WO 02/48661) with which the almost immediately after the measurement measured data are available. So are the temperature values of the melt after ms and a temperature value averaged from several measurements after about one s available.
  • Chemical analysis values are e.g. after 0.05 to 0.1 s and one over about 100 measurements averaged value available after 5 to 10 s.
  • a separate process model module is advantageously found for each variable process variable Application.
  • the process model module a self-contained part of the Understand the process model that is responsible for a certain functional sequence, such as for decarburization, desulfurization, temperature prediction and alloying with alloying elements.
  • the process model modules are, however, as far as the individual Functional processes influence each other, taking these influences into account linked with each other.
  • Process knowledge is automatically and continuously carried out on the process Knowledge gained during production is improved.
  • This self-generating Process knowledge is adopted from a data store as new prior knowledge, i.e. it comes to a constantly improved basis for further adaptation or optimization of the process.
  • the method is expediently carried out in such a way that an existing mode of operation (obtained, for example, based on many years of experience; know how) for different grades is optimized in such a way that changes which are favorable for the process (such as reduction of O 2 , optimization of the process temperature curve are reduced to lower ones) Values; reducing / optimizing gas quantities; shortening process times; ...) for the respective quality can be adopted and saved.
  • changes which are favorable for the process such as reduction of O 2 , optimization of the process temperature curve are reduced to lower ones
  • Values such as reduction of O 2 , optimization of the process temperature curve are reduced to lower ones
  • the optimal execution of the method is at least part of the process time the time difference between two successive surveys of an actual process variable kept very small, preferably the time difference is infinitesimal, i.e. the actual process variable is collected continuously.
  • a particularly simple process model with which very good end results can be achieved let is characterized in that the actual process variables the chemical Composition of the exhaust gas and the chemical composition of charged Material and possibly the chemical composition of the slag collected become.
  • the method according to the invention is based on knowing the actual situation to be determined Points in time during the procedure, whereby, as stated above, permanent knowledge the actual situation is optimal for at least the most important process steps method according to the invention results.
  • the process parameters such as oxygen flow, inert gas flow, Time of addition, chemical composition and quantity of additives, optimized become. Knowing the current situation allows the target points to be approached exactly, e.g. can already with knowledge of the chemical composition and the temperature of the Metal melt the missing and still to be added materials and gas quantities in time precisely introduced in terms of quantity and analysis.
  • the process model is improved with a model adaptation, so that the model behavior matches the actual process behavior as closely as possible.
  • Control variables found that lead to good process behavior For example, at too high steel melt temperature either reduces the oxygen supply or the Time of addition for refrigerated scrap or alloying elements can be changed.
  • process model is based to a certain percentage on uncertain knowledge the process model is adapted and changed based on the process data obtained. This adaptation takes place with the process model adaptation, which is based on data from past process states. The process results are checked by plausibility queries.
  • FIG. 1 and FIG. 2 The basic structure of the method according to the invention is simplified in FIG. 1 and FIG. 2, each in block diagram form.
  • Processes according to the invention decarburization (DeC process), reduction, addition of alloys and cooling illustrated in block diagram form in Figs. 3, 4, 5 and 6. 7 and 8 show Temperature curve and chemical analysis values on the process flow of the following Example.
  • the initial analysis, analysis of the aggregates and the quantities of gas introduced are can be determined without difficulty and are available at any time.
  • the knowledge the temperature of the molten steel, the exhaust gas composition and the analysis of the Melting steel is based on snapshots, realized by a continuous Working temperature measuring and analysis system for the molten metal, such as e.g. according to WO 97/22859 or WO 02/48661.
  • the exemplary AOD model designed according to the invention takes this into account and became so built that after knowing the actual state, the process model parameters so be adjusted / changed so that the desired values are actually achieved. With This procedure ensures that the FF consumption reduces the flow rates optimized and thus reduced and the ttt time can be shortened. In addition, a targeted application strategy optimizes the amount of aggregates.
  • an AOD converter 1 shown in FIG. 1 oxygen and a Dilution gas (inert gas) both via a top lance 2 and via nozzles 3 which are provided below the molten steel bath level 4 on the converter 1, in the interior thereof 5 introduced.
  • the converter 1 is, as is customary in the case of steelworks converters, tiltably mounted, which is not shown in more detail.
  • the converter 1 is also equipped with a device 6 for Temperature measurement of the molten steel 7 and a device 8 for determining the chemical analysis of the molten steel 7 equipped. You can also use Measuring devices 9 and 10 the flow rates through the top lance 2 and the nozzles 3rd determine the gases introduced.
  • the exhaust gas emerging from the converter 1 is also by means of a device 11 with regard to its chemical composition analyzes which analysis device 11 in the exhaust gas chimney, which is not shown in detail, is provided.
  • the molten steel charged in the converter 1 7 Weight, chemical analysis and temperature determined. Also from the on the Premelt resting slag 12 are weight, chemical composition and Temperature determined. Of the planned aggregates to be introduced are also Weight, chemical composition and temperature known.
  • Tempsoll (t) Tempist (t-Dt) + g (oxidation, gas quantity (Nl / min), heat losses, exhaust gas losses; t-Dt) t-Dt KK the measurement is available at time t-Dt, where Dt is the time step between two calculation steps. The smaller Dt is selected, the more precisely the target curve can be achieved. For short time intervals it is necessary that the measurement data describe the current state in the molten steel.
  • a total (kg or mole) for each element / substance is used for the balancing set up at any time.
  • FIGS. 3 and 4 The sequence of the iteration and calculation process is shown in FIGS. 3 and 4 using a logical plan, with FIG. 3 being decisive for the decarburization process and FIG. 4 for the reduction process.
  • These processes are based on the following forms of calculation.
  • a shift in the timing of alloying between the different ones steps is done to maintain the desired temperature.
  • FeNi or Ni, lime and / or scrap are primarily used for cooling.
  • SiO 2 (kg / t) ⁇ SiO 2j (%) + j addition + 2.14 * ( ⁇ Si% * j addition * + Si Red )
  • the logical plan for calculating the lime / dolo consumption is shown in FIG. 6.
  • the results of the model calculation are continuously updated with the actual values of the Melting steel temperature, slag temperature, analysis of the molten steel and the Exhaust gas measurement compared.
  • the following process flow is used to manufacture the quality AISI 304 illustrated from the raw steel used to the finished product.
  • 7 and 8 show the course of the temperature change and the course of the change in chemical analysis (for C, Mn, Cr, Ni) in this process.
  • step 2 Decarburization stage 2 (step 2)
  • step 3 Decarburization level 3 (step 3)
  • step 5 Decarburization level 5 (step 5)

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Materials Engineering (AREA)
  • Metallurgy (AREA)
  • Organic Chemistry (AREA)
  • Manufacturing & Machinery (AREA)
  • Carbon Steel Or Casting Steel Manufacturing (AREA)
  • Treatment Of Steel In Its Molten State (AREA)
EP02450259A 2001-11-13 2002-11-11 Procédé pour la production d'une fonte de métal à base d'un modèle de processus dynamique, inclus un modèle de correction Revoked EP1310573B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AT17842001 2001-11-13
AT0178401A AT411068B (de) 2001-11-13 2001-11-13 Verfahren zur herstellung einer metallschmelze in einer hüttentechnischen anlage

Publications (3)

Publication Number Publication Date
EP1310573A2 true EP1310573A2 (fr) 2003-05-14
EP1310573A3 EP1310573A3 (fr) 2008-01-23
EP1310573B1 EP1310573B1 (fr) 2012-09-26

Family

ID=3688935

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Application Number Title Priority Date Filing Date
EP02450259A Revoked EP1310573B1 (fr) 2001-11-13 2002-11-11 Procédé pour la production d'une fonte de métal à base d'un modèle de processus dynamique, inclus un modèle de correction

Country Status (5)

Country Link
EP (1) EP1310573B1 (fr)
KR (1) KR100904006B1 (fr)
AT (1) AT411068B (fr)
BR (1) BRPI0206891B1 (fr)
ES (1) ES2396053T3 (fr)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006050963A3 (fr) * 2004-11-12 2006-09-28 Sms Demag Ag Production d'acier inoxydable faisant partie du groupe des aciers ferritiques aisi 4xx dans un convertisseur aod
CN100507770C (zh) * 2006-05-30 2009-07-01 宝山钢铁股份有限公司 热轧加热炉板坯剩余在炉时间确定方法
US8048196B2 (en) 2006-11-30 2011-11-01 Sms Siemag Aktiengesellschaft Method and device for producing stainless steel without using a supply of electrical energy, based on pig-iron that has been pre-treated in a DDD installation
EP2423336A1 (fr) * 2010-08-25 2012-02-29 SMS Siemag AG Procédé de contrôle de température du bain de métal lors du processus de soufflage dans un convertisseur
US8430945B2 (en) 2006-11-30 2013-04-30 Sms Siemag Aktiengesellschaft Method and device for producing pig-iron based stainless steel without using a supply of electrical energy
EP2789960A1 (fr) * 2013-04-12 2014-10-15 Refractory Intellectual Property GmbH & Co. KG Procédé en particulier destiné à déterminer l'état d'un revêtement réfractaire d'une cuve de fusion métallurgique
US10935320B2 (en) 2013-04-12 2021-03-02 Refractory Intellectual Property Gmbh & Co. Kg Method for determining the state of a refractory lining of a metallurgical vessel for molten metal in particular
CN115261549A (zh) * 2022-06-22 2022-11-01 包头钢铁（集团）有限责任公司 一种150t转炉高磷高硅单渣模型控制方法

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004055206B4 (de) * 2004-11-16 2012-08-30 Sms Siemag Aktiengesellschaft Verfahren zum Herstellen von Stahl mit hohem Mangan- und niedrigem Kohlenstoffgehalt

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JPS5855519A (ja) * 1981-09-29 1983-04-01 Nippon Yakin Kogyo Co Ltd コンピユ−タ−・シミユレ−シヨンによるａｏｄ炉操業の制御方法
SE452475B (sv) * 1983-03-21 1987-11-30 Nippon Yakin Kogyo Co Ltd Forfarande for datorstyrd avkolning av en stalsmelta
US5327357A (en) * 1991-12-03 1994-07-05 Praxair Technology, Inc. Method of decarburizing molten metal in the refining of steel using neural networks
JPH05195035A (ja) * 1992-01-24 1993-08-03 Nippon Steel Corp 転炉吹錬制御装置
JPH05339617A (ja) * 1992-06-04 1993-12-21 Nkk Corp 転炉吹錬方法
EP0642019A3 (fr) * 1993-09-03 1996-09-25 Heraeus Electronite Co Ltd Méthode et appareil pour la détermination séquentielle et continue de concentrations de carbone, hydrogène et azote dans l'acier fondu, et méthode et appareil pour déterminer rapidement des quantités de trace de carbone dans l'acier fondu.
US6017143A (en) * 1996-03-28 2000-01-25 Rosemount Inc. Device in a process system for detecting events
CN1138193C (zh) * 1996-12-31 2004-02-11 罗斯蒙德公司 在处理系统用于确认来自现场装置的控制信号的装置
JP2000144229A (ja) * 1998-11-09 2000-05-26 Nkk Corp 転炉スロッピング予測方法及び装置
JP3580177B2 (ja) * 1999-04-23 2004-10-20 住友金属工業株式会社 含Ｃｒ溶鋼の脱炭精錬方法
EP1307597A2 (fr) * 2000-08-11 2003-05-07 Dofasco Inc. Systeme et procede de regulation de reactif de desulfuration

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006050963A3 (fr) * 2004-11-12 2006-09-28 Sms Demag Ag Production d'acier inoxydable faisant partie du groupe des aciers ferritiques aisi 4xx dans un convertisseur aod
CN100507770C (zh) * 2006-05-30 2009-07-01 宝山钢铁股份有限公司 热轧加热炉板坯剩余在炉时间确定方法
US8765051B2 (en) 2006-11-30 2014-07-01 Sms Siemag Aktiengesellschaft Method and device for producing pig-iron based stainless steel without using a supply of electrical energy
US8048196B2 (en) 2006-11-30 2011-11-01 Sms Siemag Aktiengesellschaft Method and device for producing stainless steel without using a supply of electrical energy, based on pig-iron that has been pre-treated in a DDD installation
US8425831B2 (en) 2006-11-30 2013-04-23 Sms Siemag Aktiengesellschaft Method and device for producing stainless steel without using a supply of electrical energy, based on pig-iron that has been pre-treated in a DDD installation
US8430945B2 (en) 2006-11-30 2013-04-30 Sms Siemag Aktiengesellschaft Method and device for producing pig-iron based stainless steel without using a supply of electrical energy
EP2423336A1 (fr) * 2010-08-25 2012-02-29 SMS Siemag AG Procédé de contrôle de température du bain de métal lors du processus de soufflage dans un convertisseur
EP2789960A1 (fr) * 2013-04-12 2014-10-15 Refractory Intellectual Property GmbH & Co. KG Procédé en particulier destiné à déterminer l'état d'un revêtement réfractaire d'une cuve de fusion métallurgique
EP2789961A1 (fr) * 2013-04-12 2014-10-15 Refractory Intellectual Property GmbH & Co. KG Procédé, en particulier pour la détermination de l'état de la coulée d'un récipient métallurgique
WO2014166679A1 (fr) * 2013-04-12 2014-10-16 Refractory Intellectual Property Gmbh & Co. Kg Procédé servant en particulier à déterminer l'état d'un revêtement réfractaire d'un creuset de fusion métallurgique
WO2014166678A1 (fr) * 2013-04-12 2014-10-16 Refractory Intellectual Property Gmbh & Co. Kg Procédé servant en particulier à déterminer l'état du trou de coulée d'un creuset métallurgique
US10935320B2 (en) 2013-04-12 2021-03-02 Refractory Intellectual Property Gmbh & Co. Kg Method for determining the state of a refractory lining of a metallurgical vessel for molten metal in particular
CN115261549A (zh) * 2022-06-22 2022-11-01 包头钢铁（集团）有限责任公司 一种150t转炉高磷高硅单渣模型控制方法
CN115261549B (zh) * 2022-06-22 2023-09-26 包头钢铁（集团）有限责任公司 一种150t转炉高磷高硅单渣模型控制方法

Also Published As

Publication number Publication date
ATA17842001A (de) 2003-02-15
BR0206891A (pt) 2004-06-15
KR100904006B1 (ko) 2009-06-22
ES2396053T3 (es) 2013-02-18
AT411068B (de) 2003-09-25
BRPI0206891B1 (pt) 2016-07-05
KR20030040135A (ko) 2003-05-22
EP1310573A3 (fr) 2008-01-23
EP1310573B1 (fr) 2012-09-26

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