EP1558062B1 - Verfahren zur Kontrolle der Abnutzung einer Elektrode - Google Patents

Verfahren zur Kontrolle der Abnutzung einer Elektrode Download PDF

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Publication number
EP1558062B1
EP1558062B1 EP04100169A EP04100169A EP1558062B1 EP 1558062 B1 EP1558062 B1 EP 1558062B1 EP 04100169 A EP04100169 A EP 04100169A EP 04100169 A EP04100169 A EP 04100169A EP 1558062 B1 EP1558062 B1 EP 1558062B1
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EP
European Patent Office
Prior art keywords
electrode
picture
tip
camera
contour lines
Prior art date
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Expired - Lifetime
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EP04100169A
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English (en)
French (fr)
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EP1558062A1 (de
Inventor
Jean-Claude Baumert
Jean-Claude Thibaut
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ArcelorMittal Belval and Differdange SA
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Profilarbed SA
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Priority to AT04100169T priority Critical patent/ATE332621T1/de
Priority to ES04100169T priority patent/ES2268574T3/es
Priority to EP04100169A priority patent/EP1558062B1/de
Priority to DE602004001443T priority patent/DE602004001443T2/de
Publication of EP1558062A1 publication Critical patent/EP1558062A1/de
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    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B7/00—Heating by electric discharge
    • H05B7/02—Details
    • 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
    • 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
    • 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
    • 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
    • F27D21/02—Observation or illuminating devices
    • F27D2021/026—Observation or illuminating devices using a video installation

Definitions

  • the present invention relates to a method for monitoring on line and automatically the wear of electrodes, in particular graphite electrodes in an electric arc furnace (EAF).
  • EAF electric arc furnace
  • Electrode consumption is an important factor to be taken into account in the optimisation of the electrode quality and thus in the optimisation of steelmaking process costs in an EAF. Knowing the wear of the electrodes allows improving the electrode quality and reducing electrode breakage. In fact, in addition to being costly, electrode breakages slow down production. Fishing a broken electrode tip out of the molten steel bath may interrupt production for up to 5 minutes if it settles on top. But a broken electrode could easily cause delays up to 45 minutes if it remains inside the bath. Electrodes are less likely to break later in the melt cycle, but it usually takes longer to get them out of the furnace in a later heat elaboration phase.
  • WO-A-00/74442 discloses a method of determining the electrode length and the bath level in an electric arc furnace. According to this method, the length of the electrode is determined by moving the electrode, at the end of each heat, down towards the top level of the steel bath and stopping the electrode movement when a specified stopping criterion is reached. Accordingly, the distance between the tip of the electrode and the level of the melt is approximately constant for each measurement. In this state a first electrode position (height) measurement is performed. Thereafter the electrode is raised outside the furnace vessel until its tip reaches the level of an optical beam path located at a predetermined height with respect to the bottom of the melt or the vessel. At this position a second measurement is performed.
  • this method does not allow measuring the shape of the electrode, in particular the tip thereof, and the side wear of the electrode, caused for example by oxidation of the electrode graphite material during the steel-making process.
  • a digital electrode observation system of the prior art is disclosed by WO 02/28084.
  • This object is accomplished by providing a method for monitoring wear of an electrode in an electric arc furnace comprising the steps of:
  • the method comprises signaling to a digital camera the passage of the electrode in front of the camera so that the camera may take a picture of the electrode.
  • the picture is sent to a personal computer, which is preferably equipped with a suitable software for the automatic extraction of all the relevant information.
  • the information is extracted by a dedicated software. All the information, e.g. raw pictures and extracted features, may be stored so as to constitute a picture archive and to be used for further analyses.
  • the dedicated software performs a picture analysis of the pixel picture.
  • the picture analysis enables a follow-up of the electrode. In particular, it enables to study and know the influence of the dimensional tolerances, the geometry of the nipples, the applied torque, the mechanical and electric properties as well as the condition of use of the electrode. This information thus allows optimising the quality of the electrode and rendering the use of EAF more economic.
  • the present electric arc furnace installation comprises two electric arc furnace vessels (EAF) 13,14 and a graphite electrode 12 shared between the two EAFs 13,14.
  • EAF electric arc furnace vessels
  • the electrode 12 After melting of one scrap basket, the electrode 12 passes from one EAF 13 to the other EAF 14.
  • a digital camera 1 is arranged so as to be able to take a picture of the electrode 12 as it passes from one EAF to the other.
  • Fig.2 shows the passage of an electrode 12 from a first EAF 13 to a second EAF 14.
  • PLC programmable process controller
  • the PLC 11 is connected to the digital camera 1 so as to be able to trigger the camera 1 when the electrode 12 is in a particular position in-between the two EAFs 13,14.
  • the PLC 11 controls the electrode position 12 and knows where the camera 1 is located, the PLC 11 can control the camera so as to take a picture at exactly that moment when the electrode 12 passes in front of the camera.
  • the camera 1 is preferably attached to stable beam or wall (not shown) of the steel mill building where one or more electric arc furnaces (EAF) are disposed.
  • the camera 1 may be embodied as a CCD or CMOS sensor type digital camera provided with or without a digital signal processor (not shown).
  • the camera 1 is connected for remote control and data transmission purposes to an electronic data transmission box 3 via a link 2.
  • the link 2 may be made of an optical fibre or any other electrical means.
  • an electrical-to-optical converter A is installed close to the camera 1 and a second similar converter B is installed inside the transmission box 3
  • the electro-optical converter B is connected to or provided within an electric transmission box 3 which further contains or is connected to electrical communication modules such as current loop modules 8 and 10 which provide for direct electrical communication to both the PLC 11 and the personal computer (PC) 7 via links 6,15.
  • the personal computer (PC) 7 is used both for electrode image processing, image storage, a display for the furnace operator.
  • the current loop modules 8 and 10 of the electric transmission box 3 are connected via a link 9, preferably a wire link, to provide a direct communication between PC 7 and PLC 11.
  • modules and converters may convey signals according to the RS232 interface standard, although the implementation of other communications standards, such as analog signal transmission, Ethernet, TCP/IP, or FireWire IEEE-1394, is intended to be within the scope of the present invention.
  • the picture taken by the camera 1 is transferred with suitable software to PC 7 for extraction of the relevant information.
  • the software is dedicated program, which will be explained hereinafter in detail.
  • the pictures are stored in PC 7 and constitute a digital picture archive.
  • the comparison between the current and one or more of the former pictures of a specific electrode contributes to establish the electrode consumption.
  • the information extracted from the picture includes electrode wear monitoring information such as electrode tip length, overall wear, tip loss, the form of tip cone and lateral wear, crack forming and crack propagation, side oxidation, nippling problems, overall cracking, "falling off” of the electrode tip, loss of graphite material due to the particles and droplets, and inhomogeneous temperature profiles that are related to the electrical arc deviations.
  • electrode wear monitoring information such as electrode tip length, overall wear, tip loss, the form of tip cone and lateral wear, crack forming and crack propagation, side oxidation, nippling problems, overall cracking, "falling off” of the electrode tip, loss of graphite material due to the particles and droplets, and inhomogeneous temperature profiles that are related to the electrical arc deviations.
  • a preferred picture extraction method will be disclosed with reference to the following description. It is noted that the extraction method can be performed both in real time so to say “on-line” or at a later stage, namely "offline”.
  • the digital filtering is defined as convolution product between two matrixes, the first matrix being defined by the picture such as and having a dimension (number of pixel) equal to that of the analysed picture, and the second matrix containing the weighted coefficients of the used filter.
  • An original picture contains 632 x 480 pixels, each pixel being encoded by 8 bits, which permit 256 (2 8 ) shades of grey, wherein the value of 0 corresponds to black, or no exposure, and the value of 255 corresponds to white, or maximum exposure.
  • the pictures supplied by a (digital) CCD camera, with integrated digital signal processor generally contain two types of information, namely the pictures per se captured by the CCD camera which are used during the picture analysis and annotations added by the digital signal processor of the camera after the detection of the tip of the electrode.
  • the picture is rotated by 90 degrees in the anticlockwise direction without distortion of its physical dimensions. This step is indicated in Fig.3.
  • the present method provides for a step of converting the annotation areas to a uniform dark grey shade.
  • the grey scale value of the converted annotation areas may be comprised between the values of 0 though 10.
  • an artificially coloured picture of the electrode is obtained (indicated as step 108 in the flow chart of Fig.16).
  • the light intensity of the electrode as shown by the camera picture, is associated with a surface temperature of the electrode.
  • the artificial colouring step allows a better visualisation of the temperature gradient that is present on the electrode surface when the picture is captured by the camera.
  • this step of cartographing the light intensity emitted by the surface of the electrode advantageously allows to quickly estimate an asymmetry in the temperature resulting from a deviation of the arc during the melting process of the batch (indicated as step 109 in the flow chart of Fig.16).
  • the 256 grey shades are converted to 8 colours in the artificial colouring step, according to Table 1.
  • Table 1 Grey Shade Level Colour 0-31 Black 32-63 Brown 64-95 Green 96-127 Olive 128-159 Navy 160-191 Purple 192-223 Teal 224-255 Grey
  • Fig.4 shows the artificial colouring step, without arc deviation
  • Fig.5 shows the artificial colouring step, with arc deviation.
  • the figures are shown exclusively in grey shades, the colouring cannot be seen.
  • the electrode is brighter (hotter) at its left side, namely at the side of EAF 13.
  • the deviation of the hotter zone is shown to be computed at about 20% from the left edge of the figure.
  • the vertical line provided within the surface of the electrode picture facilitates visualizing the arc deviation. Note that in Fig.4 the vertical line is running approximately at the centre of the electrode (about the axis thereof) while in Fig.5 the vertical line is displaced to the left side.
  • a step of computing the average light intensity may be provided within the context of the above artificial colouring step and after the rotation and annotation removal step.
  • the latter average light intensity computing step provides for particular advantages when the average light intensity value provided therein is used in a threshold detection step which will be described hereinafter.
  • an electrode edge detection step (indicated as step 102 in the flow chart of Fig.16).
  • the electrode edge detection step is preferably carried out on a copy of the picture or pictures provided, following the rotation and annotation removal step.
  • the electrode edge detection step is carried out based on a digital edge detection filter comprising two digital filters of the type described hereinabove.
  • each of the digital filters is comprised by a 3 x 3 matrix.
  • the first (N-S) of the digital filters detects the edges in a North-South orientation and the second (E-W) of the digital filters detects the edges in an East-West orientation.
  • the RMS value of the filtering by the two filters provides for an edges detection of the electrode in the above-mentioned orientations.
  • N-S and E-W filters are preferably chosen as indicated below: N ⁇ S [ 1 1 1 0 0 0 ⁇ 1 ⁇ 1 ⁇ 1 ] E ⁇ W [ 1 0 ⁇ 1 1 0 ⁇ 1 1 0 ⁇ 1 0 ⁇ 1 ]
  • the row transitions of the light intensities (edges) obtained by electrode edge detection step are shown in Fig.6.
  • the results of the edge detection step are important for the subsequent handling of the picture analysis.
  • a threshold-detecting step is provided, which is illustrated in Fig.7 (and indicated as step 103 in the flow chart of Fig.16).
  • the threshold for the light intensity is preferably defined as being average light intensity multiplied by 2.
  • the average light intensity may be provided after the rotation and annotation removal step.
  • the detected threshold is applied to the picture obtained at the end of electrode edge detection step.
  • a step for removing the light "grains” or spots (indicated as step 104 in the flow chart of Fig.16), as illustrated in Fig.8 and 9.
  • the "grains" at the inner side of the electrode which are apparent both in the right hand section of Fig.7 and in the left hand side of Fig.9, are understood to be a consequence of a significant temperature gradient on small surfaces, while the "grains" outside the electrode are believed to be caused by droplets of water illuminated by the tip of the electrode and by glowing graphite particles falling therefrom.
  • the step of removing the light "grains" is preferably carried out by means of a non-linear digital filter which is recomputed for each new light intensity which, for instance, for a pixel having the original light intensity c will be a function of the maximal and minimal light intensity of two neighbouring pixels, as shown in Fig.9.
  • I C min ( max ( a , b , c ) , max ( b , c , d ) , max ( c , d , e ) , ... , max ( c , h , i ) ) wherein a through i are the light intensities of the pixels shown in Fig.8.
  • the step of removing grains is repeated up to 15 times to obtain the result shown in the right hand side of Fig.9.
  • the picture preferably the picture obtained after the removing of the light grains, is scanned (swept), for instance from bottom to top and from left to right to detect the tip zone of the electrode, as shown in Fig.10.
  • the exterior boundaries of the tip of the electrode are determined by an algorithm, which computes the variables Tip_i_Min, Tip_i_Max, Tip_j_Min and Tip_j_Max .
  • the sweeping or scanning of the picture is started from the left bottom side of Fig.10, and when the first 3 successive white pixels are detected on the same horizontal line the algorithm, which is familiar to those skilled in the art, detects Tip_j_Max which represents the lowest point of the electrode tip zone.
  • Tip_j_Min which is the highest point of the electrode tip zone, is set to be, for instance, about 50 pixels higher.
  • Tip_i_Min , Tip_i_Max which represent the respective left and right boundaries of the electrode tip zone, are determined by sweeping about 50 lines from left to right and upwards, after detecting the value Tip_j_Max . Again, 3 successive white pixels of the same vertical line are indicative of the detection of Tip_i_Min and Tip_i_Max .
  • Fig.12 shows by way of example the extraction step of the pixels of the electrode at the height of the electrode tip so as to obtain the representation of the electrode tip shown in Fig.13 (and indicated as step 105 in the flow chart of Fig.16). Note that the pixels representing the electrode tip are extracted preferably following the step of light "grain" or spot removing.
  • the white squares represent the white pixels of the picture.
  • the picture zone is swept, from left to right and from bottom to top, in line 5 all of the four white squares (pixels) are marked (crossed), as the condition of at least 3 successive pixels on a line is met. The same occurs in line 4.
  • the pixels in an already marked column namely the pixels M4, N4, 04, and P4 will not be marked (crossed).
  • line 3 the condition of 3 successive pixels on a line is not met, and therefore no pixel will be marked.
  • all of the pixels will be marked as the condition of 3 successive pixels on a line is met and the pixels do not belong to an already marked column.
  • line 1 the condition of 3 successive pixels on a line is not met, and therefore no pixel will be marked.
  • the coefficients k 0 , k 1 and k 2 , as well as the coefficient y representing the quality of the approximation, are computed on the basis of the coordinates of the retained (crossed) pixels.
  • the results of the parabolic approximation of the electrode tip are shown in the right hand section of Fig.13.
  • the present invention also advantageously provides for the feature of the detection of the flanks of the electrode cone (indicated as step 110 in the flow chart of Fig.16).
  • the starting point for the latter electrode flank detection feature may be envisaged the "grainless" picture shown in the right hand side section of Fig.9.
  • the sweeping zone for the flank detection comprises an area starting from Tip_j_Min up to the top of the picture and from Tip_i_Min-10 (pixels) to Tp_i_Max+ 10 (pixels) - see also Fig.10. This zone is swept from top to bottom and from left to right.
  • the angular coefficients of the straight lines allow estimating the lateral wear of the electrode.
  • the more the electrode is worn the steeper is the slope of the straight line.
  • Fig.14 shows the result of the linear approximation of the flanks of the electrode.
  • the present invention further provides for a step of determining the size of the tip of the electrode (which is indicated as step 107 in the flow chart of Fig.16).
  • x 1 ( ( k 1 ⁇ k Left ) + ( k Left ⁇ k 1 ) 2 + 4 k 2 ( d Left ⁇ k 0 ) ) / ( ⁇ 2 k 2 )
  • x 2 ( ( k 1 ⁇ k Left ) + ( k Left ⁇ k 1 ) 2 + 4 k 2 ( d Left ⁇ k 0 ) ) / ( ⁇ 2 k 2 )
  • x 3 ( ( k 1 ⁇ k Right t ) + ( k Right ⁇ k 1 ) 2 + 4 k 2 ( d Right ⁇ k 0 ) ) / ( ⁇ 2 k 2 )
  • x 4 ( ( k 1 ⁇ k Right ) + ( k Right ⁇ k 1 ) 2 + 4 k 2 ( d Right ⁇ k 0 ) ) / ( ⁇ 2 k 2 )
  • the present invention also provides for the calculation of the length of the oxidised part of the electrode (also indicated as step 107 in the flow chart of Fig.16).
  • the conical shape of the electrode is subject to changes during its lifetime.
  • the length of the cracks appearing on the electrode surface is envisaged in the provision of the length of the cracks appearing on the electrode surface (indicated as step 112 in the flow chart of Fig.16). Accordingly the latter length of the cracking detecting step is based on the edge detection step, in a zone spaced by 10 pixels from the detected flanks and extending from the tip of the electrode. A sweeping of this zone provides for an accurate detection of the total cracking length of the electrode.
  • the step of detecting the length of the cracking of the electrode may advantageously be performed by setting a threshold such that all pixels having a light intensity higher than, for instance, 96 are counted.
  • the count number is divided by 2 (as the cracks are detected on the 2 edges of the electrode) and multiplied by (in the presently envisaged non-limitative specific embodiment) 5,04 mm - see JPG picture data - to yield the total length of the cracks.
  • FIG.16 A block flow chart showing an advantageous implementation of a picture analysis method according to the present invention is shown in Fig.16.
  • the person skilled in the art will readily understand that some of the steps shown in the flow chart of Fig.16 may be omitted and/or the order thereof changed. Such steps may be advantageously implemented on a personal computer such as PC 7.
  • the original picture preferably in JPG format as explained above, is inputted from the camera 1 to the PC 7.
  • the original picture is subjected to the electrode rotation and annotation removal step.
  • the flow chart branches off to the electrode artificial colouring step 108 and to the electrode edge detection step 102.
  • the result of the electrode edge detection step 102 is used by the subsequent electrode threshold detection step 103.
  • the resultant of the electrode threshold detection step 103 is provided to the grain- or spot-removing step 104.
  • the tip of the electrode may be detected in step 105. Based on the latter data, the parabolic approximation is performed in step 106.
  • step 106 The resultant of the parabolic approximation, step 106, is used along with the electrode artificial colouring step 108 to obtain the arc deviation of the electrode in step 109.
  • Step 105 can also branch off to the electrode (left and right) flanks detection step 110, which is followed by a linear approximation step 111 of the left and right electrode flanks.
  • the resultant of step 111 can also be used in step 109.
  • step 107 based on steps 106 and 111 the size of the tip of the electrode and the oxidation length can be computed in step 107.
  • the total length of the cracks of the electrodes is computed in step 112 based on steps 105, 106, and 111.
  • the "falling off" of the electrode tip could be detected by analysing its cross sectional shape and the cracks thereof.
  • the fall of the electrode tip could be detected by analysing at the same time the length of the tip and the slope of the flanks thereof.
  • the temperature of the electrode surface could be analysed to provide the furnace operator with data necessary to achieve optimal operation.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Plasma & Fusion (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Electrical Discharge Machining, Electrochemical Machining, And Combined Machining (AREA)
  • Discharge Heating (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Claims (9)

  1. Verfahren zur Überwachung der Abnutzung einer Elektrode in einem Lichtbogenofen, umfassend die Schritte zur:
    Aufnahme eines Digitalbilds der noch glühenden Spitze der Elektrode;
    gekennzeichnet durch die Schritte zur
    Anwendung eines numerischen Randerkennungs-Filteralgorithmus auf das Digitalbild, um so ein gefiltertes Bild zu erhalten, bei dem abrupte Änderungen in der Lichtintensität als Konturlinien dargestellt sind; und
    Analyse der Konturlinien, um die Form der Elektrodenspitze und das Vorhandensein von Rissen zu bestimmen.
  2. Verfahren nach Anspruch 1, wobei:
    ein Schwellenwertfilter auf das gefilterte Bild angewendet wird, bevor die Konturlinien analysiert werden.
  3. Verfahren nach Anspruch 1 oder 2, umfassend den Schritt zum:
    Entfernen von Lichtkörnern durch einen numerischen Filter, bevor die Konturlinien analysiert werden.
  4. Verfahren nach irgendeinem der Ansprüche 1 bis 3, wobei der Schritt zur Analyse der Konturlinien zur Bestimmung der Form der Elektrodenspitze die Schritte umfasst:
    zur Erkennung der unteren Konturlinie der Elektrodenspitze und ihre Approximierung an eine parabolische Kurve; und
    zur Erkennung der Konturlinie, die jeder der Flanken der Elektrodenspitze entspricht, und ihre Approximierung an eine gerade Linie.
  5. Verfahren nach irgendeinem der Ansprüche 1 bis 4, ferner umfassend den Schritt zur:
    Erkennung von Asymmetrien in der Lichtintensität der Elektrodenspitze, um Lichtbogenablenkungen zu erfassen.
  6. Verfahren nach irgendeinem der Ansprüche 1 bis 5, ferner umfassend die Schritte zur:
    a) Positionierung einer Kamera beim Lichtbogenofen;
    b) Bereitstellung einer Verbindung zwischen der Kamera und einem Prozessrechner der Elektrode;
    c) Aktivierung der Kamera zusammen mit der Bewegung der Elektrode, so dass ein Bild der Elektrode von der Kamera aufgenommen werden kann, nachdem jeder Schrottkorb des Lichtbogenofens geschmolzen ist; und
    d) Bereitstellung des aufgenommenen Bilds über eine weitere Verbindung zu einem das Bild speichernden und verarbeitenden Mittel.
  7. Verfahren nach Anspruch 6, ferner umfassend den Schritt, bei dem der Kamera durch den Prozessrechner die Bewegung der Elektrode vor der Kamera signalisiert wird
  8. Verfahren nach irgendeinem der Ansprüche 6 und 7, ferner umfassend den Schritt zur Speicherung des aufgenommenen Bilds in dem das Bild speichernden und verarbeitenden Mittel.
  9. Verfahren nach irgendeinem der Ansprüche 1 bis 8, ferner umfassend den Schritt zum Vergleichen der aufgenommenen Bilder der Elektrode mit dem Bild einer unbenutzten Elektrode.
EP04100169A 2004-01-20 2004-01-20 Verfahren zur Kontrolle der Abnutzung einer Elektrode Expired - Lifetime EP1558062B1 (de)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AT04100169T ATE332621T1 (de) 2004-01-20 2004-01-20 Verfahren zur kontrolle der abnutzung einer elektrode
ES04100169T ES2268574T3 (es) 2004-01-20 2004-01-20 Procedimiento para controlar el desgaste de un electrodo.
EP04100169A EP1558062B1 (de) 2004-01-20 2004-01-20 Verfahren zur Kontrolle der Abnutzung einer Elektrode
DE602004001443T DE602004001443T2 (de) 2004-01-20 2004-01-20 Verfahren zur Kontrolle der Abnutzung einer Elektrode

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Application Number Priority Date Filing Date Title
EP04100169A EP1558062B1 (de) 2004-01-20 2004-01-20 Verfahren zur Kontrolle der Abnutzung einer Elektrode

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EP1558062A1 EP1558062A1 (de) 2005-07-27
EP1558062B1 true EP1558062B1 (de) 2006-07-05

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AT (1) ATE332621T1 (de)
DE (1) DE602004001443T2 (de)
ES (1) ES2268574T3 (de)

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US11678412B1 (en) * 2019-03-04 2023-06-13 AMI International, S. De R.L. De C.V Method for determining electrode consumption with machine vision
CN111076664A (zh) * 2019-12-27 2020-04-28 大连华锐重工集团股份有限公司 一种非接触式自焙电极压放量测量系统和方法
EP4047304B1 (de) * 2021-02-19 2023-12-20 Inrema, S.L. Maschine und verfahren zur dreidimensionalen messung von graphitelektroden
US20250257946A1 (en) * 2024-02-09 2025-08-14 Chemtreat, Inc. Systems and methods to measure oxidation losses of furnace electrodes

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DE3120856A1 (de) * 1981-05-26 1982-12-23 Leybold-Heraeus GmbH, 5000 Köln Verfahren zur ueberwachung des schmelzvorgangs in vakuumlichtbogenoefen
AUPQ755800A0 (en) * 2000-05-17 2000-06-08 Qni Technology Pty Ltd Method for measurement of a consumable electrode
JP4191885B2 (ja) * 2000-06-29 2008-12-03 三菱重工環境エンジニアリング株式会社 プラズマ式灰溶融炉及びその運転方法
US6804582B1 (en) * 2000-09-25 2004-10-12 Ucar Carbon Company Inc. Digital electrode observation
JP3926167B2 (ja) * 2002-02-13 2007-06-06 東芝セラミックス株式会社 アーク溶融装置

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ATE332621T1 (de) 2006-07-15
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ES2268574T3 (es) 2007-03-16
DE602004001443D1 (de) 2006-08-17

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