US20080307926A1 - Method for Determining the Properties of the Content of an Arc Furnace - Google Patents

Method for Determining the Properties of the Content of an Arc Furnace Download PDF

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Publication number
US20080307926A1
US20080307926A1 US11/916,908 US91690806A US2008307926A1 US 20080307926 A1 US20080307926 A1 US 20080307926A1 US 91690806 A US91690806 A US 91690806A US 2008307926 A1 US2008307926 A1 US 2008307926A1
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United States
Prior art keywords
arc furnace
furnace
batch material
acoustic
measurement values
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Abandoned
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US11/916,908
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English (en)
Inventor
Thomas Matschullat
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Siemens AG
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Siemens AG
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Filing date
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Assigned to SIEMENS AKTIENGESELLSCHAFT reassignment SIEMENS AKTIENGESELLSCHAFT ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MATSCHULLAT, THOMAS, DR.
Publication of US20080307926A1 publication Critical patent/US20080307926A1/en
Abandoned legal-status Critical Current

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    • 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
    • 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
    • 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
    • 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
    • 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
    • Y02P10/25—Process efficiency

Definitions

  • the invention relates to a method for determining the status of the content of an arc furnace for melting a batch material.
  • a batch material for example scrap metal
  • energy is supplied to the batch material by forming an arc discharge with the aid of electrodes.
  • Chemical energy is in this case preferably also put in using additional combustible materials which, for example, at least partially comprise coal and/or oxygen.
  • the process taking place in the arc furnace depends essentially on the status of the content of the electric arc furnace. It is known to sort and classify scrap metal, and to supply scrap metal to the electric arc furnace in a sorted fashion while following a loading plan. Conclusions can then be made regarding the state inside the furnace based on the scrap metal sorting and based on the loading plan, although these suffer from a comparatively high level of uncertainty and susceptibility to error.
  • a method for determining a dividedness and/or position of a batch material existing essentially in the solid phase in an arc furnace having a furnace vessel may comprise the steps of: generating acoustic signals by an arc discharge between an electrode and the batch material, and measuring the acoustic signals reflected and/or transmitted through by the batch material by means of acoustic sensors, wherein at least one acoustic sensor is provided per segment of the furnace vessel subdivided into a plurality of segments, and wherein the dividedness and/or position of the batch material in the arc furnace is determined by evaluating the measured acoustic signals.
  • a device for determining a dividedness and/or position of a batch material existing essentially in the solid phase in an arc furnace having a furnace vessel may comprise: means for generating acoustic signals by an arc discharge between an electrode and the batch material, and acoustic sensors for measuring the acoustic signals reflected and/or transmitted through by the batch material, wherein at least one acoustic sensor is provided per segment of the furnace vessel subdivided into a plurality of segments, and wherein the dividedness and/or position of the batch material in the arc furnace is determined by evaluating the measured acoustic signals.
  • At least one acoustic sensor which is arranged on the furnace vessel and/or on other parts of the arc furnace, can be used for measuring the acoustic signals.
  • electrical signals can be additionally measured with the aid of at least one electrical sensor in order to determine the dividedness and/or position in the arc furnace.
  • electrical signals can be measured between at least two electrodes of the arc furnace by means of an electrical sensor.
  • measurement values and data obtained from the measurement values can be stored in a database for early detection of a collapse of the batch material.
  • measurement values and data obtained from the measurement values can be compared with measurement values and with data which are stored in the database.
  • the method may further comprise the step of: using the determined dividedness and/or position of the batch material of the arc furnace for controlling or regulating the arc furnace.
  • the energy supply to the electrodes can be regulated.
  • the position of the electrodes can be regulated.
  • the arc furnace may be deliberately operated asymmetrically.
  • the supply of chemical energy into the arc furnace can be regulated.
  • FIG. 1 schematically shows an arc furnace coupled to a computing device and having a furnace vessel
  • FIG. 2 shows the furnace vessel in a schematic representation
  • FIG. 3 shows a segment of the furnace vessel
  • FIG. 4 schematically shows an example of the propagation of acoustic signals in the furnace vessel.
  • acoustic signals from the arc furnace are measured.
  • the status of the content of the arc furnace, in particular of the electric arc furnace can be determined substantially more accurately and reliably.
  • the energy input into the arc furnace, in particular an electric arc furnace can be better regulated locally and quantitatively.
  • At least one acoustic sensor which may be arranged on the furnace vessel and/or on other parts of the arc furnace, in particular the electric arc furnace, can be advantageously used for measuring the acoustic signals.
  • Advantageously electrical signals in particular current, voltage and/or energy, can be additionally measured with the aid of at least one electrical sensor in order to determine the status of the content of the arc furnace, in particular the electric arc furnace.
  • Substantially more accurate information regarding the status of the content of the arc furnace can be obtained in this way, in particular by combined evaluation of the measurement data obtained both from acoustic measurement and from electrical measurement.
  • Electrical signals in particular current, voltage and/or energy, can be advantageously measured between at least two electrodes of the arc furnace by means of an electrical sensor.
  • the status of the batch material which advantageously consists at least partially of scrap metal, may be advantageously determined.
  • Measurement values and/or data obtained from the measurement values may be advantageously stored in a database for early detection of collapses of the batch material.
  • Instantaneous measurement values and/or data obtained from the measurement values may be advantageously compared with measurement values and/or with corresponding data which are stored in the database.
  • a status of the content of the arc furnace which with a high likelihood will lead to a collapse of the batch material and/or to damage at the electrodes, can thereby be detected particularly promptly. It is therefore possible to counteract such events in time.
  • the information can be used for controlling or regulating the arc furnace.
  • the energy supply to the electrodes may be advantageously regulated in order to avoid breakage of one or more of the electrodes.
  • the position of the electrodes can be advantageously regulated.
  • the arc furnace can be deliberately operated asymmetrically, i.e. the position of the electrodes and/or the energy supply to the electrodes is at least temporarily set non-symmetrically.
  • the supply of chemical energy into the arc furnace can be advantageously regulated.
  • a device may have means suitable for carrying out a method as described above, the device comprising an arc furnace with acoustic sensors.
  • FIG. 1 shows an arc furnace 1 , which is designed as an electric arc furnace in the exemplary embodiment.
  • the arc furnace 1 comprises a plurality of electrodes, three electrodes 3 a , 3 b , 3 c in the example shown, which preferably are arranged so that their position can be modified and which extend at least partially into the furnace vessel 2 of the electric arc furnace.
  • Electrical current can preferably flow between the electrodes 3 a , 3 b , 3 c and/or between the electrodes 3 a , 3 b , 3 c and the furnace container 2 .
  • an electric arc discharge 6 is formed in the furnace vessel 2 .
  • the arc discharge 6 is indicated merely symbolically in the drawing.
  • an electrical sensor 4 a is provided in order to measure electrical signals ES, for example in order to measure the current between the electrodes 3 a , 3 b , 3 c .
  • Measurement data of the acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t are delivered to suitable evaluation means 11 .
  • measurement data of the at least one electrical sensor 4 a are also delivered to the suitable evaluation means 11 .
  • the acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t are arranged around the furnace vessel 2 in the example shown. Acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t may be arranged not only on the furnace vessel 2 but also, as an alternative or in addition, for example on a cover (not represented in detail) of the arc furnace 1 .
  • Acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t may, for example, be arranged so that they are connected indirectly and/or directly to the furnace vessel 2 and/or to the arc furnace 1 .
  • acoustic sensor 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t directly on the furnace container 2 and/or on the cover (not represented in detail) of the arc furnace 1 .
  • a computing device 10 is advantageously provided, to which the arc furnace 1 is coupled.
  • the computing device 10 sends control signals CS to the arc furnace, for example in order to influence the position of the electrodes 3 a , 3 b , 3 c and/or the energy supply to the electrodes 3 a , 3 b , 3 c .
  • the computing device 10 comprises a control module 12 .
  • the computing device 10 preferably comprises evaluation means 11 with the aid of which measurement data, which are communicated from the plurality of acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t and/or the at least one electrical sensor 4 a , are optionally processed and analyzed.
  • a structure-borne noise analysis is carried out by evaluating the signals of the acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t.
  • the furnace vessel 2 may be subdivided into one or more segments S n with an angle ⁇ n .
  • the segments S n preferably have a uniform angle ⁇ n .
  • the angle ⁇ n may differ from segment S m to segment S n . It is, for example, possible to divide the furnace vessel 2 into segments S n so that the segments S n are arranged at least approximately with point symmetry.
  • at least one acoustic sensor 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t is provided per segment S n .
  • no acoustic sensor 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t it is possible for no acoustic sensor 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t to be provided in one or more segments S n .
  • at least one acoustic sensor 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t is provided.
  • at least two acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t are provided.
  • a segment S n with an angle ⁇ n may be further decomposed into a horizontal segments h s1 , h s2 , . . . , h sn and/or vertical segments v s1 , v s2 , . . . v sn , in order to establish the arrangement of the acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t.
  • FIG. 4 schematically shows a detail of an arc furnace 1 , and in particular the content of the furnace vessel 2 and the electrode 3 a are represented merely schematically.
  • the furnace vessel 2 contains the batch material 7 , in particular scrap metal, which is melted with the aid of at least one electrode 3 a to form a melt 8 , in particular liquid steel.
  • the batch material 7 is melted in particular by supplying energy to the interior of the arc furnace 1 by the action of the arc discharge 6 (represented merely schematically), which is formed in particular between the electrode 3 a and the batch material 7 or the melt 8 .
  • Slag 9 may be formed above the melt 8 inside the arc furnace 1 .
  • the batch material 7 is formed by a plurality of pieces, and preferably exists essentially in the solid phase.
  • the status of the content of the arc furnace 1 in particular the status of the batch material 7 , is characterized above all by the dividedness of the batch material 7 .
  • the dividedness of the batch material 1 is characterized for example by length, width, height, position, shape, weight and/or density of the batch material 7 , or of the pieces forming the batch material 7 .
  • the dividedness and in particular the position of the batch material 7 influences the input of energy into the arc furnace 1 . Said features, or the characteristics of the batch material 7 , i.e.
  • the status of the content of the arc furnace 1 may cause scrap metal collapses which can lead to electrode breakages and therefore to shutdown of the arc furnace 1 .
  • the input of energy into the arc furnace 1 varies owing to inhomogeneity and/or inconsistency of the batch material 7 , for which reason the performance capacity of one or more furnace transformers (not represented in detail in the drawings), which are coupled to the electrodes 3 a , 3 b , 3 c , cannot fully be utilized. According to an embodiment, it is possible to substantially avoid collapses of the batch material 7 , electrode breakages and furnace shutdowns.
  • a plurality of acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t are preferably arranged on the furnace vessel 2 , in particular on the wall of the furnace vessel 2 .
  • the acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t are arranged at suitable measurement positions around the furnace, and optionally also on the furnace cover.
  • a structure-borne noise analysis can be carried out.
  • available current signals i.e. electrical signals ES (see FIG. 1 )
  • the signals available from both measurement methods are preferably processed with the aid of one or more algorithms in the form of a hybrid system to obtain evaluation data.
  • the acoustic signals N d , N e , N g are generated in particular by the arc discharge 6 between the electrode and the batch material 7 or melt 8 . Some of the acoustic signals N g , N e are deflected by the batch material 7 , in particular scrap metal. This gives rise to reflected acoustic signals N d . Acoustic signals are transmitted through the batch material 7 and/or reflected by it. Both may possibly take place repeatedly and in a different way for various acoustic signals N d , N e , N g . The acoustic signals are transmitted further at the wall (sidewalls, panels and also cover) of the furnace container 2 , in particular through the solid body of the batch material 7 .
  • the electrical signals ES are also taken into account for the evaluation.
  • the arc furnace may deliberately be operated asymmetrically, in particular based on the determination of a scrap metal density, i.e. energy may be delivered asymmetrically to the electrodes 3 a , 3 b , 3 c and/or the position of the electrodes 3 a , 3 b , 3 c may be modified asymmetrically.
  • the electrodes 3 a , 3 b , 3 c are preferably arranged so that they can be displaced vertically.
  • the scrap metal density is particularly relevant information in particular because lower-density scrap metal melts more rapidly than higher-density scrap metal.
  • the input of energy may be reduced, for example inter alia owing to the absence of foam slag.
  • the energy input may be increased by a corresponding amount in zones with a higher scrap metal density.
  • the supply of chemical energy into the arc furnace 1 may be regulated.
  • the supply of chemical energy influences or causes a combustion process inside the arc furnace 1 .
  • the chemical energy may for example be supplied into the arc furnace 1 by manipulating a lance (not represented in detail in the figures) and/or with the aid of so-called coherent jets.
  • the measurement data obtained from the acoustic measurements are processed with the aid of evaluation means 11 to form evaluation data.
  • Evaluation data may for example be employed, as described above, in order to optimize the input of energy into the arc furnace 1 .
  • With the aid of the evaluation data likely scrap metal collapses may also be predicted in advance.
  • Evaluation data are preferably also determined with the aid of electrical measurements.
  • Measurement data and/or evaluation data may be stored in a database (not represented in detail), and may advantageously be used for predictive regulation of the arc furnace 1 .
  • Data characteristic of the status of the content of the arc furnace referred to below as characteristics, are preferably stored in the database. Signal sequences leading up to a scrap metal collapse may, for example, be stored as a collapse characteristic.
  • a preferably self-learning system is formed with the aid of which the energy supply to the electric arc furnace, in particular to the electrodes 3 a , 3 b , 3 c , can be regulated so that future scrap metal collapses or electrode breakages can be avoided.
  • the furnace vessel 2 is decomposed into segments S n as indicated in FIGS. 2 and 3 , preferably by being idealized as a cylindrical vessel.
  • the number of segments S n and horizontal or vertical segments h s1 , h s2 , . . . , h sn and v s1 , v s2 , . . . , v sn respectively, is determined by the representation of the accuracy, or by the accuracy required for a certain reliability value for the operation of the arc furnace 1 , or for a certain quality of the melt 8 .
  • acoustic signals N e , N g , N d which are measured by at least one, preferably a plurality of acoustic sensors 5 a , 5 b , 5 c , 5 e , 5 g , 5 h , 5 s , 5 t , are evaluated preferably in conjunction with electrical signals which are measured with the aid of at least one electrical sensor 4 a , particularly in order to avoid electrode breakages.
  • the productivity of the arc furnace 1 is increased by achieving a higher specific melting power via corresponding regulation of the arc furnace 1 , and shutdown times are reduced.
  • the specific melt energy is reduced by redistributing energy in the arc furnace 1 .
  • the wall wear in the arc furnace 1 is decreased by reducing the radiation energy on the inner walls of the furnace vessel 2 of the arc furnace 1 .
  • the electrode consumption can also be reduced according to an embodiment.

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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)
  • Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
US11/916,908 2005-07-22 2006-06-28 Method for Determining the Properties of the Content of an Arc Furnace Abandoned US20080307926A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102005034378.3 2005-07-22
DE102005034378A DE102005034378A1 (de) 2005-07-22 2005-07-22 Verfahren zur Bestimmung der Beschaffenheit des Inhalts eines Lichtbogenofens
PCT/EP2006/063643 WO2007009861A2 (de) 2005-07-22 2006-06-28 Verfahren zur bestimmung der beschaffenheit des inhalts eines lichtbogenofens

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US20080307926A1 true US20080307926A1 (en) 2008-12-18

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US11/916,908 Abandoned US20080307926A1 (en) 2005-07-22 2006-06-28 Method for Determining the Properties of the Content of an Arc Furnace

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US (1) US20080307926A1 (de)
EP (1) EP1907594A2 (de)
CN (1) CN101228284A (de)
BR (1) BRPI0613762A2 (de)
CA (1) CA2615927A1 (de)
DE (1) DE102005034378A1 (de)
MX (1) MX2008000311A (de)
RU (1) RU2378390C2 (de)
WO (1) WO2007009861A2 (de)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100327888A1 (en) * 2008-01-31 2010-12-30 Siemens Aktiengesellschaft Method for determining the size and shape measure of a solid material in an arc furnace, an arc furnace, a signal processing device and program code and a memory medium
US20110007773A1 (en) * 2008-01-31 2011-01-13 Doebbeler Arno Method for operating an arc furnace comprising at least one electrode, regulating and/or control device, machine-readable program code, data carrier and arc furnace for carrying out said method
US20110292961A1 (en) * 2009-02-03 2011-12-01 Thomas Matschullat Method and device for controlling a carbon monoxide output of an electric arc light oven
WO2012159208A1 (en) * 2011-05-20 2012-11-29 Hatch Ltd. Furnace structural integrity monitoring systems and methods
US8412474B2 (en) 2008-01-31 2013-04-02 Siemens Aktiengesellschaft Method for determining a radiation measurement for thermal radiation, arc furnace, a signal processing device programme code and storage medium for carrying out said method
US20140185645A1 (en) * 2011-07-19 2014-07-03 Siemens Aktiengesellschaft Method for operating an electric arc furnace and melting plant having an electric arc furnace operated according to said method
US9370053B2 (en) 2009-09-28 2016-06-14 Siemens Aktiengesellschaft Method for controlling a melt process in an arc furnace and signal processing component, program code and data medium for performing said method

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Publication number Priority date Publication date Assignee Title
DE102009034353A1 (de) 2008-12-15 2010-06-24 Siemens Aktiengesellschaft Schmelzofen
FI125220B (en) 2013-12-30 2015-07-15 Outotec Finland Oy Method and arrangement for measuring electrode paste in an electrode column in an arc furnace
DE102016219261B3 (de) * 2016-10-05 2017-10-05 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Verfahren zur Positionsbestimmung der Spitze einer Elektroofen-Elektrode, insbesondere einer Söderberg-Elektrode

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US6039472A (en) * 1998-05-13 2000-03-21 Accusteel Ltd. Method for measuring the temperature of a metallurgical furnace using an acoustic noise parameter and rate of consumption of electrical power
US6969416B2 (en) * 2003-04-01 2005-11-29 American Air Liquide, Inc. Method for controlling slag characteristics in an electric arc furnace

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ATA155793A (de) * 1993-08-04 1996-04-15 Voest Alpine Ind Anlagen Verfahren zum herstellen einer metallschmelze und anlage zur durchführung des verfahrens
DE4425089C1 (de) * 1994-07-15 1996-01-11 Hamburger Stahlwerke Gmbh Verfahren zur Steuerung der Schaumschlackebildung im Drehstromlichtbogenofen
DE19801295B4 (de) * 1998-01-16 2007-06-06 Siemens Ag Einrichtung zur Regelung eines Lichtbogenofens

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US6039472A (en) * 1998-05-13 2000-03-21 Accusteel Ltd. Method for measuring the temperature of a metallurgical furnace using an acoustic noise parameter and rate of consumption of electrical power
US6969416B2 (en) * 2003-04-01 2005-11-29 American Air Liquide, Inc. Method for controlling slag characteristics in an electric arc furnace

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100327888A1 (en) * 2008-01-31 2010-12-30 Siemens Aktiengesellschaft Method for determining the size and shape measure of a solid material in an arc furnace, an arc furnace, a signal processing device and program code and a memory medium
US20110007773A1 (en) * 2008-01-31 2011-01-13 Doebbeler Arno Method for operating an arc furnace comprising at least one electrode, regulating and/or control device, machine-readable program code, data carrier and arc furnace for carrying out said method
US8412474B2 (en) 2008-01-31 2013-04-02 Siemens Aktiengesellschaft Method for determining a radiation measurement for thermal radiation, arc furnace, a signal processing device programme code and storage medium for carrying out said method
US8410800B2 (en) 2008-01-31 2013-04-02 Siemens Aktiengesellschaft Method for determining the size and shape measure of a solid material in an arc furnace, an arc furnace, a signal processing device and program code and a memory medium
US9175359B2 (en) 2008-01-31 2015-11-03 Siemens Aktiengesellschaft Method for operating an arc furnace comprising at least one electrode, regulating and/or control device, machine-readable program code, data carrier and arc furnace for carrying out said method
US20110292961A1 (en) * 2009-02-03 2011-12-01 Thomas Matschullat Method and device for controlling a carbon monoxide output of an electric arc light oven
US9370053B2 (en) 2009-09-28 2016-06-14 Siemens Aktiengesellschaft Method for controlling a melt process in an arc furnace and signal processing component, program code and data medium for performing said method
WO2012159208A1 (en) * 2011-05-20 2012-11-29 Hatch Ltd. Furnace structural integrity monitoring systems and methods
AU2012260392B2 (en) * 2011-05-20 2015-03-12 Hatch Ltd. Furnace structural integrity monitoring systems and methods
US9791416B2 (en) 2011-05-20 2017-10-17 Hatch Ltd. Furnace structural integrity monitoring systems and methods
US20140185645A1 (en) * 2011-07-19 2014-07-03 Siemens Aktiengesellschaft Method for operating an electric arc furnace and melting plant having an electric arc furnace operated according to said method
US9949322B2 (en) * 2011-07-19 2018-04-17 Primetals Technologies Germany Gmbh Method for operating an electric arc furnace and melting plant having an electric arc furnace operated according to said method

Also Published As

Publication number Publication date
DE102005034378A1 (de) 2007-01-25
EP1907594A2 (de) 2008-04-09
RU2378390C2 (ru) 2010-01-10
CN101228284A (zh) 2008-07-23
CA2615927A1 (en) 2007-01-25
BRPI0613762A2 (pt) 2011-02-01
RU2008106784A (ru) 2009-08-27
MX2008000311A (es) 2008-04-07
WO2007009861A2 (de) 2007-01-25

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