EP1106713A2 - Method for determining the pickling time of a scaled metal strip - Google Patents

Method for determining the pickling time of a scaled metal strip Download PDF

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Publication number
EP1106713A2
EP1106713A2 EP00126992A EP00126992A EP1106713A2 EP 1106713 A2 EP1106713 A2 EP 1106713A2 EP 00126992 A EP00126992 A EP 00126992A EP 00126992 A EP00126992 A EP 00126992A EP 1106713 A2 EP1106713 A2 EP 1106713A2
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Prior art keywords
information
scale
metal strip
bath
model
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EP00126992A
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German (de)
French (fr)
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EP1106713A3 (en
EP1106713B1 (en
Inventor
Otto Dr. Gramckow
Hans-Ulrich Dr. Löffler
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Siemens AG
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Siemens AG
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    • C—CHEMISTRY; METALLURGY
    • C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
    • C23G—CLEANING OR DE-GREASING OF METALLIC MATERIAL BY CHEMICAL METHODS OTHER THAN ELECTROLYSIS
    • C23G1/00—Cleaning or pickling metallic material with solutions or molten salts
    • C—CHEMISTRY; METALLURGY
    • C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
    • C23G—CLEANING OR DE-GREASING OF METALLIC MATERIAL BY CHEMICAL METHODS OTHER THAN ELECTROLYSIS
    • C23G1/00—Cleaning or pickling metallic material with solutions or molten salts
    • C23G1/02—Cleaning or pickling metallic material with solutions or molten salts with acid solutions
    • C—CHEMISTRY; METALLURGY
    • C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
    • C23G—CLEANING OR DE-GREASING OF METALLIC MATERIAL BY CHEMICAL METHODS OTHER THAN ELECTROLYSIS
    • C23G1/00—Cleaning or pickling metallic material with solutions or molten salts
    • C23G1/02—Cleaning or pickling metallic material with solutions or molten salts with acid solutions
    • C23G1/08—Iron or steel

Definitions

  • the invention relates to a method for determining a Pickling time of a scale layer for removal the scale layer to be treated in a pickling bath.
  • iron oxides are produced in the production of hot strip, i.e. hot-rolled metal strip.
  • the composition of this scale is dependent, among other things, on the specific cooling process, since different iron oxides form or different phases are formed depending on the cooling of the hot metal strip. Primarily these are wustite formation (FeO), magnetite (Fe 3 O 4 ) and hematite (Fe 2 O 3 ), and various Fe (II) and Fe (III) hydroxides also occur.
  • the scale must be removed in a subsequent descaling process. As part of this, mechanical descaling is first carried out and then the scale is removed in a pickling bath.
  • Hot hydrochloric acid (HCl) with a temperature between 80 - 90 ° C is mainly used as the pickling liquid, whereby the bath is usually divided into several zones in which the hydrochloric acid concentration is different. In the beginning there is usually a low concentration (e.g. 4%), in the last bath section the highest concentration (e.g. 15-17 ° C) to carry out the final cleaning there.
  • a stretch straightener is primarily used for mechanical descaling. In this stretcher, the metal strip is guided under tensile stress around several deflection rollers and bent so that the scale layer cracks and in some cases already peels off. The acid penetrates these cracks and comes into contact with the metal, where hydrogen is formed. The hydrogen bubbles then blow off the scale. Due to the direct contact between the acid bath and the metal, descaling is much faster than if there was a closed scale layer and the acid would first have to diffuse through the scale layer to the metal.
  • the time required for complete descaling depends on various factors such as acid temperature, acid concentration, Degree of mechanical descaling and especially from the Amount and type of scale.
  • As a measure of the amount of scale only the reel temperature, i.e. the temperature, with which the hot band e.g. after hot rolling before Descaling is wound on a reel, and experience about the scaling of different types of steel used.
  • the required pickling time is based on some of the roughly estimated values above. The quality control the stained tapes only find visually through one Controller instead.
  • control has a number of disadvantages.
  • the pickling time required is only rough estimated. This can lead to unsatisfactory pickling results lead to a short pickling time.
  • the pickling time is as short as to keep possible in order to achieve the highest possible throughput.
  • Another disadvantage is that it is only visual control. It does not give an objective measure of the degree of scaling the result depends heavily on the respective controller and can vary greatly from layer to layer. On useful assessment criterion for determining a more precise This does not result in pickling time.
  • the invention is therefore based on the problem, one possibility specify how the pickling time is determined more precisely can.
  • one method is the beginning mentioned type provided according to the invention that the Pickling time using a calculation model based on at least one band specific information of the scaled metal band and at least one piece of information that is specific to the bzbad is modeled becomes.
  • the pickling time is used of a calculation model is calculated and modeled and no longer roughly estimated based on the given parameters.
  • the calculation model which is, for example a neural network or a fuzzy controller can act, but any other model can be used, processed at least one band-specific information of the scaled Metal bands, so information that the tinder describes itself or the scale formation and for the to be treated Band is specific. Furthermore, at least one processed information specific to bebebad, as for determination the pickling time, of course, also the specific descaling properties of the pickling bath are relevant.
  • At least one can be formed as band-specific information Scale layer self-descriptive information and / or one for the formation of the scale layer during the Production of the metal strip relevant information and / or one for mechanical treatment of the metal strip Information relevant to mechanical scale removal be used.
  • Each of these individual pieces of information contains a considerable amount of information, which Is evaluated and processed by the calculation model. Although only one of these pieces of information is processed , it has proven to be advantageous if several or all are taken into account because the pickling time is all the more can be modeled more precisely, the more information regarding the scale layer and its pretreatment are available stand.
  • the surface-specific information which is a description of the scaled band surface supplies.
  • this information can be obtained by an optical surface scan by means of an image of the Belt surface supplying camera, the image of which is automatically Determination of a surface describing the surface covered with scale Information value is analyzed, obtained.
  • the information value allows a classification of the different Tinder types and / or the amount of tinder. Any type of scale appears somewhat different in color in an image or structure.
  • the picture taken with the camera can be analyzed in this regard, so that on the basis of this Surface scanning a classification can be made can. Additionally or alternatively, it can be based on the image acquisition the amount of scale per unit area is also determined in this case gives the analytically obtained information value a quantitative measure of the actual Amount of scale.
  • Scale layer Another in the context of modeling the optimized pickling time important information is regarding the formation of the Scale layer itself.
  • one for the manufacturing process of the metal strip specific information can be used, in particular for this the temperature of the metal strip during winding a reel, one related to the cooling process of the metal strip Information relating to the degree of deformation of the metal strip Information, the chemical reaction behavior information relating to scale formation is used.
  • Relevant are also information regarding the steel grade itself, regarding the oxygen partial pressure of the surrounding atmosphere etc. All of this information can be found in the model be taken into account. This is information for indirect information, i.e. information, that do not describe the tinder itself, but indirectly reflect its educational conditions.
  • mechanical pre-descaling is usually carried out carried out. This is usually the closed one Scale layer broken, which facilitates the acid attack. Obviously, descaling can be easier and the faster the mechanical pre-descaling is. Consequently, the related information also provides an important model parameter.
  • the invention can be at least one mechanical as related information Stretcher treatment parameters in which the Metal strip for mechanical pre-descaling machined will be used. The metal strip is in the stretching judge led under tension around several pulleys.
  • Mechanical parameters can be, for example, the applied parameters Tensile stress or the degree of deflection and thus the bend of the metal band can be used.
  • the bath temperature, the Bath composition, the bath concentration, existing in the bath Turbulence or the iron concentration in the bathroom is taken into account become.
  • a first invention can be used for education the scale layer relevant during the manufacturing process Information processed in a scale formation model and a modeled information value describing the tinder can be determined with that in the context of the analysis of the surface scan image determined information value compared and a value describing the degree of scaling is determined the calculation model for modeling the pickling time is given.
  • a scale formation model which also for example a neural network can be a tinder Descriptive modeled information value determines which specifies a measure of the degree of scaling.
  • This Degree of scaling is determined with the information value from the surface scan, which is also a measure of the scale type represents the amount of scale, compared and from it a value describing the actual degree of scaling determined.
  • This value represents a measure of the degree of scaling which, based on the described information parameters was determined. In the event of major deviations between the two The more plausible value can be used when measuring smaller deviations is an, if necessary weighted, Average value makes sense. This value is then the Calculation model for modeling the pickling time given.
  • all information can be the computing model can also be given directly for processing, i.e. a previous determination of the descaling degree The measure is not given here, rather all go Sizes directly into the calculation model.
  • the quality of the pickling process can only checked using the pickled metal strip.
  • the information about the appearance of the stained surface and thus about the presence of any residual scale or the like is also for the optimization of the pickling time modeling relevant.
  • the pickling time modeling relevant As described in the prior art only a visual inspection of the surface of the stained Metal bands, but the information obtained from them remains largely ignored when determining the pickling time.
  • an adaptation of the or used Models based on an automatic surface scan of the pickled metal strip resulting information he follows.
  • Step 1 shows a diagram to illustrate the modeling method according to a first embodiment of the invention.
  • Step 1 is using an optical surface scan a camera that delivers an image which in an analysis model 2, which is a neural Network can act, is prepared.
  • the continuously from the continuously conveyed metal strip will be a first informational value determined in the form of a measure, which is a measure of Art and amount of scale. It is based on the analysis model a classification of the different types of scale as well as a quantitative determination of the amount of scale.
  • step 3 information about the manufacturing process of the metal strip in a scale formation model 4 for Determination of a second information value in the form of a measure processed, this measure also the degree of scaling describes.
  • Indirect information can be used here Measured variables such as the reel temperature, the degree of deformation, the cooling process of the metal strip, for example the cooling steps, the cooling time, etc. or else the storage of the metal strip during cooling and the chemical reaction behavior of the metal itself within the Scale formation are taken into account.
  • step 5 there is a Comparison of the two with the analysis model and the scale formation model determined measures to a measure 6 (it can several measures are also determined) for the degree of scaling to investigate. As shown in Fig.
  • the measure for the degree of scaling determined in step 6 is given a calculation model 7 for determining the pickling time.
  • This calculation model is also, see step 8, information given mechanical pre-descaling, for example in the form of a measure or a parameter regarding the given tensile stress during a stretch judge treatment of the metal band to break the closed Scale layer.
  • All of the information, ie the part of the computational model, which also preferably is formed as a neural network in the steps 6, 8, 9 information contained are processed to determine an optimal pickling time T pickling.
  • the pickling time can be modeled very precisely on the basis of the large amount of processed information recorded in the model.
  • the pickling time is given, for example, to an automatic control system which controls the entire pickling treatment. On the control side, depending on the optimized pickling time, there is an increase or decrease in the conveying speed of the metal strip and thus a change in the residence time of the strip in the pickling bath.
  • step 10 is a Surface scanning of the pickled metal strip for testing of the pickling result.
  • a Be used to continuously take pictures of the camera Surface supplies that are evaluated with an analysis model become.
  • a determination is based on this surface scan of the remaining scale on the pickled belt possible, whereby here too, both the type and the quantity can be determined can.
  • the result can be used to adapt the Models 2, 4, 7 can be used. For example can, if the scaling in exceptional cases the quality specifications should exceed the corrected model become.
  • this can be done Result also used directly to regulate the pickling treatment and are given to the control device
  • Result also used directly to regulate the pickling treatment and are given to the control device
  • Result also used directly to regulate the pickling treatment and are given to the control device
  • a non-negligible arises when scanning Remaining scale quantity can be on the control side the pickling time can be adjusted and extended accordingly.
  • models are also fuzzy Controller can be used.
  • FIG. 2 shows a second embodiment of the invention in the form of a diagram.
  • the same data as described with reference to FIG. 1 are recorded in steps 1, 3, 8 and 9 provided with the same reference symbols.
  • the data of the optical surface scanning are also processed here in the analysis model 2.
  • all the information required directly to the calculation model for modeling the optimal pickling time 7 T pickling It is therefore not, as with respect to FIG. 1, that a measure of the degree of scaling is determined on the basis of the information from the optical surface scanning and the information about the manufacturing process, which is in turn processed in the computing model. Rather, the "raw data" are given directly to the computing model 7 here.
  • This can also be a neural network which, as is preferred but not necessarily all the other models described, is capable of learning.

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  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • General Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Materials Engineering (AREA)
  • Mechanical Engineering (AREA)
  • Metallurgy (AREA)
  • Organic Chemistry (AREA)
  • Cleaning And De-Greasing Of Metallic Materials By Chemical Methods (AREA)

Abstract

The pickling time (TBeiz) is determined using a computer model (7) supplied with information specific to the strip (10), and specific to the pickling bath (9).

Description

Verfahren zur Ermittlung einer Beizzeit eines eine Zunderschicht aufweisenden MetallbandesMethod for determining a pickling time of a scale layer having metal tape

Die Erfindung betrifft ein Verfahren zur Ermittlung einer Beizzeit eines eine Zunderschicht aufweisenden, zur Entfernung der Zunderschicht in einem Beizbad zu behandelnden Metallbandes.The invention relates to a method for determining a Pickling time of a scale layer for removal the scale layer to be treated in a pickling bath.

Bei der Herstellung von Warmband, also heißgewalztem Metallband entstehen verschiedene Eisenoxide (Zunder). Die Zusammensetzung dieses Zunders ist u.a. abhängig vom konkreten Abkühlvorgang, da sich in Abhängigkeit der Kühlung des heißen Metallbandes unterschiedliche Eisenoxide bilden bzw. verschiedene Phasen entstehen. Vornehmlich handelt es sich dabei um Wüstitbildung (FeO), Magnetit (Fe3O4) und Hämatit (Fe2O3), ferner treten noch verschiedene Fe (II)- und Fe (III)-Hydroxide auf. Der Zunder muss in einem anschließenden Entzunderungsprozess wieder entfernt werden. Im Rahmen dessen wird zunächst eine mechanische Entzunderung und anschließend eine Entfernung des Zunders in einem Beizbad durchgeführt. Als Beizflüssigkeit kommt vornehmlich heiße Salzsäure (HCl) mit einer Temperatur zwischen 80 - 90°C zum Einsatz, wobei das Bad in der Regel in mehrere Zonen aufgeteilt ist, in denen die Salzsäurekonzentration unterschiedlich ist. Am Anfang liegt in der Regel eine geringe Konzentration (z. B. 4%) vor, im letzten Badabschnitt die höchste Konzentration (z. B. 15-17°C), um dort die Endreinigung durchzuführen. Für die mechanische Vorentzunderung wird vornehmlich ein Streckrichter verwendet. In diesem Streckrichter wird das Metallband unter Zugspannung um mehrere Umlenkrollen geführt und gebogen, so dass die Zunderschicht rissig wird und teilweise schon abblättert. Die Säure dringt in diese Risse ein und kommt mit dem Metall in Kontakt, wo sich Wasserstoff bildet. Die Wasserstoffblasen sprengen den Zunder dann ab. Aufgrund des direkten Kontaktes zwischen dem Säurebad und dem Metall geht die Entzunderung wesentlich schneller, als wenn eine geschlossene Zunderschicht vorliegen würde und die Säure erst durch die Zunderschicht hindurch zum Metall diffundieren müsste.Various iron oxides (scale) are produced in the production of hot strip, i.e. hot-rolled metal strip. The composition of this scale is dependent, among other things, on the specific cooling process, since different iron oxides form or different phases are formed depending on the cooling of the hot metal strip. Primarily these are wustite formation (FeO), magnetite (Fe 3 O 4 ) and hematite (Fe 2 O 3 ), and various Fe (II) and Fe (III) hydroxides also occur. The scale must be removed in a subsequent descaling process. As part of this, mechanical descaling is first carried out and then the scale is removed in a pickling bath. Hot hydrochloric acid (HCl) with a temperature between 80 - 90 ° C is mainly used as the pickling liquid, whereby the bath is usually divided into several zones in which the hydrochloric acid concentration is different. In the beginning there is usually a low concentration (e.g. 4%), in the last bath section the highest concentration (e.g. 15-17 ° C) to carry out the final cleaning there. A stretch straightener is primarily used for mechanical descaling. In this stretcher, the metal strip is guided under tensile stress around several deflection rollers and bent so that the scale layer cracks and in some cases already peels off. The acid penetrates these cracks and comes into contact with the metal, where hydrogen is formed. The hydrogen bubbles then blow off the scale. Due to the direct contact between the acid bath and the metal, descaling is much faster than if there was a closed scale layer and the acid would first have to diffuse through the scale layer to the metal.

Die zur vollständigen Entzunderung benötigte Zeit hängt von verschiedenen Faktoren wie Säuretemperatur, Säurekonzentration, Grad der mechanischen Entzunderung und vor allem von der Menge und Art des Zunders ab. Als Maß für die Zundermenge werden lediglich die Haspeltemperatur, also die Temperatur, mit welcher das heiße Band z.B. nach dem Warmwalzen vor der Entzunderung auf eine Haspel aufgewickelt wird, und Erfahrungswerte über die Verzunderung verschiedener Stahlsorten herangezogen. Die benötigte Beizzeit wird anhand einiger der oben genannten Werte grob abgeschätzt. Die Qualitätskontrolle der gebeizten Bänder findet lediglich visuell durch einen Kontrolleur statt.The time required for complete descaling depends on various factors such as acid temperature, acid concentration, Degree of mechanical descaling and especially from the Amount and type of scale. As a measure of the amount of scale only the reel temperature, i.e. the temperature, with which the hot band e.g. after hot rolling before Descaling is wound on a reel, and experience about the scaling of different types of steel used. The required pickling time is based on some of the roughly estimated values above. The quality control the stained tapes only find visually through one Controller instead.

Aus dem geschilderten bisherigen Beizprozess und der anschließenden Kontrolle ergeben sich aber eine Reihe von Nachteilen. Zum einen wird die benötigte Beizzeit lediglich grob geschätzt. Dies kann zu unbefriedigenden Beizergebnissen bei zu kurzer Beizzeit führen. Die Beizzeit ist aber so kurz wie möglich zu halten, um einen möglichst hohen Durchsatz zu erzielen. Nachteilig ist ferner die lediglich visuelle Kontrolle. Sie gibt kein objektives Maß für den Verzunderungsgrad an, das Ergebnis hängt stark von dem jeweiligen Kontrolleur ab und kann von Schicht zu Schicht sehr stark schwanken. Ein brauchbares Beurteilungskriterium zur Bestimmung einer genaueren Beizzeit wird hierdurch nicht erlangt.From the described pickling process and the subsequent one However, control has a number of disadvantages. On the one hand, the pickling time required is only rough estimated. This can lead to unsatisfactory pickling results lead to a short pickling time. The pickling time is as short as to keep possible in order to achieve the highest possible throughput. Another disadvantage is that it is only visual control. It does not give an objective measure of the degree of scaling the result depends heavily on the respective controller and can vary greatly from layer to layer. On useful assessment criterion for determining a more precise This does not result in pickling time.

Der Erfindung liegt damit das Problem zugrunde, eine Möglichkeit anzugeben, wie die Beizzeit genauer ermittelt werden kann.The invention is therefore based on the problem, one possibility specify how the pickling time is determined more precisely can.

Zur Lösung dieses Problems ist bei einem Verfahren der eingangs genannten Art erfindungsgemäß vorgesehen, dass die Beizzeit mittels eines Rechenmodells anhand wenigstens einer bandspezifischen Information des verzunderten Metallbands und wenigstens einer beizbadspezifischen Information modelliert wird.To solve this problem, one method is the beginning mentioned type provided according to the invention that the Pickling time using a calculation model based on at least one band specific information of the scaled metal band and at least one piece of information that is specific to the bzbad is modeled becomes.

Beim erfindungsgemäßen Verfahren wird die Beizzeit unter Verwendung eines Rechenmodells errechnet und modelliert und nicht mehr wie bisher anhand gegebener Parameter grob abgeschätzt. Das Rechenmodell, bei dem es sich beispielsweise um ein neuronales Netz oder einen Fuzzy Regler handeln kann, aber auch jedes andere Modell eingesetzt werden kann, verarbeitet wenigstens eine bandspezifische Information des verzunderten Metallbands, also eine Information, die den Zunder selbst bzw. die Zunderbildung beschreibt und für das zu beizende Band spezifisch ist. Weiterhin wird wenigstens eine beizbadspezifische Information verarbeitet, da zur Bestimmung der Beizzeit natürlich auch die konkreten Entzunderungseigenschaften des Beizbades relevant sind.In the method according to the invention, the pickling time is used of a calculation model is calculated and modeled and no longer roughly estimated based on the given parameters. The calculation model, which is, for example a neural network or a fuzzy controller can act, but any other model can be used, processed at least one band-specific information of the scaled Metal bands, so information that the tinder describes itself or the scale formation and for the to be treated Band is specific. Furthermore, at least one processed information specific to bebebad, as for determination the pickling time, of course, also the specific descaling properties of the pickling bath are relevant.

Als bandspezifische Information kann wenigstens eine die gebildete Zunderschicht selbst beschreibende Information und/oder eine für die Bildung der Zunderschicht während der Herstellung des Metallbandes relevante Information und/oder eine für eine durchgeführte mechanische Behandlung des Metallbandes zur mechanischen Zunderentfernung relevante Information verwendet werden. Jede dieser einzelnen Informationen birgt für sich einen beachtlichen Informationsgehalt, der Seitens des Rechenmodells bewertet und verarbeitet wird. Wenngleich lediglich eine dieser Informationen verarbeitet werden kann, hat es sich als vorteilhaft erwiesen, wenn mehrere oder alle berücksichtigt werden, da die Beizzeit um so exakter modelliert werden kann, je mehr Informationen betreffend die Zunderschicht und deren Vorbehandlung zur Verfügung stehen.At least one can be formed as band-specific information Scale layer self-descriptive information and / or one for the formation of the scale layer during the Production of the metal strip relevant information and / or one for mechanical treatment of the metal strip Information relevant to mechanical scale removal be used. Each of these individual pieces of information contains a considerable amount of information, which Is evaluated and processed by the calculation model. Although only one of these pieces of information is processed , it has proven to be advantageous if several or all are taken into account because the pickling time is all the more can be modeled more precisely, the more information regarding the scale layer and its pretreatment are available stand.

Eine wichtige Information ist die oberflächenspezifische Information, die eine Beschreibung der verzunderten Bandoberfläche liefert. Diese Information kann erfindungsgemäß durch eine optische Oberflächenabtastung mittels einer ein Bild der Bandoberfläche liefernden Kamera, deren Bild automatisch zur Ermittlung eines die mit Zunder belegte Oberfläche beschreibenden Informationswertes analysiert wird, erhalten werden. Der Informationswert lässt eine Klassifizierung der verschiedenen Zunderarten und/oder der Zundermenge zu. Jede Zunderart erscheint in einer Bildaufnahme etwas anders von ihrer Färbung bzw. Struktur her. Das mit der Kamera aufgenommene Bild kann diesbezüglich analysiert werden, so dass anhand dieser Oberflächenabtastung eine Klassifizierung vorgenommen werden kann. Zusätzlich oder alternativ dazu kann anhand der Bildaufnahme auch die Zundermenge pro Flächeneinheit ermittelt werden, in diesem Fall gibt der analytisch erhaltene Informationswert also ein quantitatives Maß für die tatsächliche Zundermenge an.An important piece of information is the surface-specific information, which is a description of the scaled band surface supplies. According to the invention, this information can be obtained by an optical surface scan by means of an image of the Belt surface supplying camera, the image of which is automatically Determination of a surface describing the surface covered with scale Information value is analyzed, obtained. The information value allows a classification of the different Tinder types and / or the amount of tinder. Any type of scale appears somewhat different in color in an image or structure. The picture taken with the camera can be analyzed in this regard, so that on the basis of this Surface scanning a classification can be made can. Additionally or alternatively, it can be based on the image acquisition the amount of scale per unit area is also determined in this case gives the analytically obtained information value a quantitative measure of the actual Amount of scale.

Eine weitere im Rahmen der Modellierung der optimierten Beizzeit wichtige Information ist die betreffend die Bildung der Zunderschicht selbst. Als eine solche Information kann erfindungsgemäß eine für das Herstellungsverfahren des Metallbands spezifische Information verwendet werden, wobei hierfür insbesondere die Temperatur des Metallbands beim Aufwickeln auf eine Haspel, eine den Kühlvorgang des Metallbandes betreffende Information, eine den Umformungsgrad des Metallbands betreffende Information, eine das chemische Reaktionverhalten zur Zunderbildung betreffende Information verwendet wird. Relevant sind auch Informationen betreffend die Stahlsorte selbst, betreffend den Sauerstoff-Partialdruck der Umgebungsatmosphäre etc. Alle diese Informationen können im Modell berücksichtigt werden. Es handelt sich bei diesen Informationen um indirekte Informationen, also um Informationen, die den Zunder selbst nicht beschreiben, sondern indirekt dessen Bildungsbedingungen reflektieren.Another in the context of modeling the optimized pickling time important information is regarding the formation of the Scale layer itself. As such information, according to the invention one for the manufacturing process of the metal strip specific information can be used, in particular for this the temperature of the metal strip during winding a reel, one related to the cooling process of the metal strip Information relating to the degree of deformation of the metal strip Information, the chemical reaction behavior information relating to scale formation is used. Relevant are also information regarding the steel grade itself, regarding the oxygen partial pressure of the surrounding atmosphere etc. All of this information can be found in the model be taken into account. This is information for indirect information, i.e. information, that do not describe the tinder itself, but indirectly reflect its educational conditions.

Wie beschrieben wird in der Regel eine mechanische Vorentzunderung durchgeführt. Hierbei wird die in der Regel geschlossene Zunderschicht aufgebrochen, was den Säureangriff erleichtert. Ersichtlich kann die Entzunderung um so einfacher und schneller erfolgen, je weitgehender die mechanische Vorentzunderung ist. Folglich stellt auch die diesbezügliche Information einen wichtigen Modellparameter dar. Erfindungsgemäß kann als diesbezügliche Information wenigstens ein mechanischer Parameter der Streckrichterbehandlung, in welchem das Metallband zur mechanischen Vorentzunderung mechanisch bearbeitet wird, verwendet werden. Im Streckrichter wird das Metallband unter Spannung um mehrere Umlenkrollen geführt. Als mechanischer Parameter kann dabei beispielsweise die anliegende Zugspannung oder aber der Grad der Umlenkung und damit der Biegung des Metallbands verwendet werden. Als badspezifische Information kann erfindungsgemäß die Badtemperatur, die Badzusammensetzung, die Badkonzentration, im Bad vorhandene Turbulenzen oder aber die Eisenkonzentration im Bad berücksichtigt werden.As described, mechanical pre-descaling is usually carried out carried out. This is usually the closed one Scale layer broken, which facilitates the acid attack. Obviously, descaling can be easier and the faster the mechanical pre-descaling is. Consequently, the related information also provides an important model parameter. According to the invention can be at least one mechanical as related information Stretcher treatment parameters in which the Metal strip for mechanical pre-descaling machined will be used. The metal strip is in the stretching judge led under tension around several pulleys. As Mechanical parameters can be, for example, the applied parameters Tensile stress or the degree of deflection and thus the bend of the metal band can be used. As bathroom specific According to the invention, the bath temperature, the Bath composition, the bath concentration, existing in the bath Turbulence or the iron concentration in the bathroom is taken into account become.

Wie beschrieben ist es zweckmäßig, möglichst viele der vorbeschriebenen Informationen und Parameter im Rahmen der Modellierung zu berücksichtigen, um möglichst genau die Beizzeit bestimmen zu können. Hinsichtlich der Verarbeitung der Informationen sind unterschiedliche Möglichkeiten gegeben. Gemäß einer ersten Erfindungsausgestaltung kann die für die Bildung der Zunderschicht während des Herstellungsverfahrens relevante Information in einem Zunderbildungsmodell verarbeitet und ein den Zunder beschreibender modellierter Informationswert ermittelt werden, der mit dem im Rahmen der Analyse des Oberflächenabtastungsbilds ermittelten Informationswert abgeglichen und ein den Verzunderungsgrad beschreibender Wert ermittelt wird, der dem Rechenmodell zur Modellierung der Beizzeit gegeben wird. Gemäß dieser Ausgestaltung wird also zunächst aus den die Zunderbildung beschreibenden Informationen unter Verwendung eines Zunderbildungsmodells, welches ebenfalls beispielsweise ein neuronales Netz sein kann, ein den Zunder beschreibender modellierter Informationswert ermittelt, welcher eine Maßzahl für den Verzunderungsgrad angibt. Dieser Verzunderungsgrad wird mit dem Informationswert aus der Oberflächenabtastung, welcher ebenfalls eine Maßzahl für die Zunderart bzw. Zundermenge darstellt, abgeglichen und hieraus ein den tatsächlichen Verzunderungsgrad beschreibender Wert ermittelt. Dieser Wert stellt eine Maßzahl für den Verzunderungsgrad dar, welche anhand der beschriebenen Informationsparameter ermittelt wurde. Bei größeren Abweichungen der beiden Maßzahlen kann der plausiblere Wert verwendet werden, bei kleineren Abweichungen ist ein, gegebenenfalls gewichteter, Durchschnittswert sinnvoll. Dieser Wert wird anschließend dem Rechenmodell zur Modellierung der Beizzeit gegeben.As described, it is advisable to use as many of the above as possible Information and parameters in the context of modeling to be taken into account in order to determine the pickling time as precisely as possible to be able to determine. Regarding the processing of the information there are different options. According to A first invention can be used for education the scale layer relevant during the manufacturing process Information processed in a scale formation model and a modeled information value describing the tinder can be determined with that in the context of the analysis of the surface scan image determined information value compared and a value describing the degree of scaling is determined the calculation model for modeling the pickling time is given. According to this configuration, therefore, first from the information describing the scale formation under Using a scale formation model, which also for example a neural network can be a tinder Descriptive modeled information value determines which specifies a measure of the degree of scaling. This Degree of scaling is determined with the information value from the surface scan, which is also a measure of the scale type represents the amount of scale, compared and from it a value describing the actual degree of scaling determined. This value represents a measure of the degree of scaling which, based on the described information parameters was determined. In the event of major deviations between the two The more plausible value can be used when measuring smaller deviations is an, if necessary weighted, Average value makes sense. This value is then the Calculation model for modeling the pickling time given.

Alternativ dazu können sämtliche Informationen dem Rechenmodell zur Verarbeitung auch direkt gegeben werden, das heißt, eine vorherige Bestimmung der den Verzunderungsgrad beschreibenden Maßzahl erfolgt hier nicht, vielmehr gehen sämtliche Größen direkt in das Rechenmodell ein.Alternatively, all information can be the computing model can also be given directly for processing, i.e. a previous determination of the descaling degree The measure is not given here, rather all go Sizes directly into the calculation model.

Wie beschrieben kann die Qualität des Beizvorgangs lediglich anhand des gebeizten Metallbands überprüft werden. Die Information über das Aussehen der gebeizten Oberfläche und damit über das Vorhandensein etwaigen Restzunders oder dergleichen ist für die Optimierung der Beizzeitmodellierung ebenfalls relevant. Wie beschrieben erfolgt im Stand der Technik lediglich eine visuelle Begutachtung der Oberfläche des gebeizten Metallbands, die hieraus erhaltene Information bleibt aber bei der Bestimmung der Beizzeit weitgehend unberücksichtigt. Gemäß einer vorteilhaften Erfindungsausgestaltung ist demgegenüber vorgesehen, dass eine Adaption des oder der verwendeten Modelle anhand der aus einer automatischen Oberflächenabtastung des gebeizten Metallbands resultierenden Information erfolgt. Gemäß dieser Erfindungsausprägung wird in Abkehr zum Stand der Technik auch die Oberfläche des gebeizten Metallbandes automatisch abgetastet, beispielsweise wiederum mittels einer Kamera, die entsprechende Bilder liefert, welche hinsichtlich etwaigen Restzunders, dessen Art bzw. Struktur und Menge analysiert werden. Das Analysenergebnis wird zur automatischen Adaption der Modelle verwendet, um diese zu optimieren und resultierend daraus die Genauigkeit der modellierten Beizzeit zu erhöhen.As described, the quality of the pickling process can only checked using the pickled metal strip. The information about the appearance of the stained surface and thus about the presence of any residual scale or the like is also for the optimization of the pickling time modeling relevant. As described in the prior art only a visual inspection of the surface of the stained Metal bands, but the information obtained from them remains largely ignored when determining the pickling time. According to an advantageous embodiment of the invention, in contrast provided that an adaptation of the or used Models based on an automatic surface scan of the pickled metal strip resulting information he follows. In accordance with this embodiment of the invention, in turn, State of the art also the surface of the pickled metal strip automatically scanned, for example again by means of a camera that delivers corresponding images, which with regard to any residual scale, its type or structure and quantity are analyzed. The analysis result becomes automatic adaptation of the models used to optimize them and consequently the accuracy of the modeled Increase pickling time.

Weitere Vorteile, Merkmale und Einzelheiten der Erfindung ergeben sich aus den im Folgenden beschriebenen Ausführungsbeispielen sowie anhand der Zeichnungen. Dabei zeigen:

Fig. 1
ein Diagramm zur Darstellung des Modellierungsverfahrens der Beizzeit gemäß einer ersten Erfindungsausgestaltung, und
Fig. 2
ein Diagramm zur Darstellung des Modellierungsverfahrens gemäß einer zweiten Erfindungsausgestaltung.
Further advantages, features and details of the invention result from the exemplary embodiments described below and from the drawings. Show:
Fig. 1
2 shows a diagram to illustrate the modeling method of the pickling time according to a first embodiment of the invention, and
Fig. 2
a diagram showing the modeling method according to a second embodiment of the invention.

Fig. 1 zeigt ein Diagramm zur Darstellung des Modellierungsverfahrens gemäß einer erste Erfindungsausgestaltung. Im Schritt 1 wird eine optische Oberflächenabtastung unter Verwendung einer Kamera durchgeführt, die ein Bild liefert, welches in einem Analysemodell 2, bei dem es sich um ein neuronales Netz handeln kann, aufbereitet wird. Anhand der Bilddaten, die kontinuierlich von dem kontinuierlich geförderte Metallband aufgenommen werden, wird ein erster Informationswert in Form einer Maßzahl ermittelt, welcher ein Maß für die Art und Menge des Zunders ist. Es erfolgt also anhand des Analysemodells eine Klassifizierung der verschiedenen Zunderarten sowie eine quantitative Bestimmung der Zundermenge.1 shows a diagram to illustrate the modeling method according to a first embodiment of the invention. in the Step 1 is using an optical surface scan a camera that delivers an image which in an analysis model 2, which is a neural Network can act, is prepared. Based on the image data, the continuously from the continuously conveyed metal strip will be a first informational value determined in the form of a measure, which is a measure of Art and amount of scale. It is based on the analysis model a classification of the different types of scale as well as a quantitative determination of the amount of scale.

Im Schritt 3 werden Informationen über das Herstellungsverfahren des Metallbandes in einem Zunderbildungsmodell 4 zur Ermittlung eines zweiten Informationswerts in Form einer Maßzahl verarbeitet, wobei diese Maßzahl ebenfalls den Verzunderungsgrad beschreibt. Als Informationen können hier indirekte Messgrößen wie beispielsweise die Haspeltemperatur, der Umformungsgrad, das Kühlverfahren des Metallbandes, also beispielsweise die Kühlschritte, die Kühldauer, etc. oder aber die Lagerung des Metallbandes während der Abkühlung sowie das chemische Reaktionverhalten des Metalls selbst im Rahmen der Zunderbildung berücksichtigt werden. Im Schritt 5 erfolgt ein Abgleich der beiden mit dem Analysemodell und dem Zunderbildungsmodell ermittelten Maßzahlen, um eine Maßzahl 6 (es können auch mehrere Maßzahlen ermittelt werden) für den Verzunderungsgrad zu ermitteln. Wie in Fig. 1 gezeigt, kann anhand des Abgleichs bereits eine Adaption des Zunderbildungsmodells 4 erfolgen, da die aus der Oberflächenabtastung gewonnene Maßzahl aufgrund einer direkten Oberflächenanalyse ermittelt wird und nicht wie beim Zunderbildungsmodell anhand indirekter Parameter. Es besteht ferner die Möglichkeit, auch das Analysemodell anhand des Abgleichs zu adaptieren, z.B. wenn durch das Zunderbildungsmodell klar ist, dass die Klassifizierung durch das Analysemodell ungenau ist.In step 3, information about the manufacturing process of the metal strip in a scale formation model 4 for Determination of a second information value in the form of a measure processed, this measure also the degree of scaling describes. Indirect information can be used here Measured variables such as the reel temperature, the degree of deformation, the cooling process of the metal strip, for example the cooling steps, the cooling time, etc. or else the storage of the metal strip during cooling and the chemical reaction behavior of the metal itself within the Scale formation are taken into account. In step 5 there is a Comparison of the two with the analysis model and the scale formation model determined measures to a measure 6 (it can several measures are also determined) for the degree of scaling to investigate. As shown in Fig. 1, based on Alignment of the scale formation model 4 take place because the one obtained from the surface scan Dimensional value determined based on a direct surface analysis and not as with the scale formation model using indirect Parameter. There is also the possibility to do that Adapt the analysis model based on the comparison, e.g. if through the scale formation model it is clear that the classification is inaccurate due to the analysis model.

Die im Schritt 6 bestimmte Maßzahl für den Verzunderungsgrad wird einem Rechenmodell 7 zur Ermittlung der Beizzeit gegeben. Diesem Rechenmodell werden ferner, siehe Schritt 8, Informationen über die mechanische Vorentzunderung gegeben, beispielsweise in Form einer Maßzahl oder eines Parameters betreffend die gegebene Zugspannung während einer Streckrichterbehandlung des Metallbands zum Aufbrechen der geschlossenen Zunderschicht. Ferner werden dem Rechenmodell 7, siehe Schritt 9, Informationen über das Beizbad wie beispielsweise die Badtemperatur, die Säurekonzentration etc. gegeben.The measure for the degree of scaling determined in step 6 is given a calculation model 7 for determining the pickling time. This calculation model is also, see step 8, information given mechanical pre-descaling, for example in the form of a measure or a parameter regarding the given tensile stress during a stretch judge treatment of the metal band to break the closed Scale layer. Furthermore, the computing model 7, see Step 9, information about the pickling bath such as the bath temperature, the acid concentration, etc.

Sämtliche Informationen, also die in den Schritten 6, 8 und 9 enthaltenen Informationen werden seitens des Rechenmodells, welches ebenfalls bevorzugt als neuronales Netz ausgebildet ist, verarbeitet, um eine optimale Beizzeit TBeiz zu ermitteln. Anhand der Vielzahl der im Modell erfassten verarbeiteten Informationen kann die Beizzeit sehr genau modelliert werden. Die Beizzeit wird beispielsweise an eine automatische Steuerung, die die gesamte Beizbehandlung steuert, gegeben. Steuerungsseitig erfolgt in Abhängigkeit der optimierten Beizzeit eine Erhöhung oder Erniedrigung der Fördergeschwindigkeit des Metallbands durch und damit eine Änderung der Verweilzeit des Bandes im Beizbad.All of the information, ie the part of the computational model, which also preferably is formed as a neural network in the steps 6, 8, 9 information contained are processed to determine an optimal pickling time T pickling. The pickling time can be modeled very precisely on the basis of the large amount of processed information recorded in the model. The pickling time is given, for example, to an automatic control system which controls the entire pickling treatment. On the control side, depending on the optimized pickling time, there is an increase or decrease in the conveying speed of the metal strip and thus a change in the residence time of the strip in the pickling bath.

Wie Fig. 1 ferner zu entnehmen ist wird im Schritt 10 eine Oberflächenabtastung des gebeizten Metallbandes zur Prüfung des Beizergebnisses durchgeführt. Hierzu kann wiederum eine Kamera verwendet werden, die kontinuierlich Bilder von der Oberfläche liefert, die mit einem Analysemodell ausgewertet werden. Anhand dieser Oberflächenabtastung ist eine Bestimmung des Restzunders auf dem gebeizten Band möglich, wobei auch hier sowohl die Art als auch die Menge bestimmt werden kann. Es bestehen nun mehrere Möglichkeiten, das Ergebnis zu verwenden. Zum einen kann das Ergebnis zur Adaption der verwendeten Modelle 2, 4, 7 verwendet werden. Beispielsweise kann, wenn die Verzunderung in Ausnahmefällen die Qualitätsvorgaben überschreiten sollte, das jeweilige Modell korrigiert werden. Alternativ hierzu oder auch zusätzlich kann das Ergebnis auch direkt zur Regelung der Beizbehandlung verwendet werden und an die Steuerungseinrichtung gegeben werden Stellt sich bei der Abtastung beispielsweise eine nicht vernachlässigbare Restzundermenge heraus, so kann steuerungsseitig entsprechend die Beizzeit angepasst und verlängert werden. Anstelle neuronaler Netze sind als Modelle auch Fuzzy Regler verwendbar.As can also be seen in FIG. 1, step 10 is a Surface scanning of the pickled metal strip for testing of the pickling result. For this purpose, a Be used to continuously take pictures of the camera Surface supplies that are evaluated with an analysis model become. A determination is based on this surface scan of the remaining scale on the pickled belt possible, whereby here too, both the type and the quantity can be determined can. There are now several ways to get the result use. On the one hand, the result can be used to adapt the Models 2, 4, 7 can be used. For example can, if the scaling in exceptional cases the quality specifications should exceed the corrected model become. Alternatively, or in addition, this can be done Result also used directly to regulate the pickling treatment and are given to the control device For example, a non-negligible arises when scanning Remaining scale quantity can be on the control side the pickling time can be adjusted and extended accordingly. Instead of neural networks, models are also fuzzy Controller can be used.

Fig. 2 zeigt in Form eines Diagramms eine zweite Erfindungsausgestaltung. Bei dieser werden in den mit denselben Bezugszeichen versehenen Schritten 1, 3, 8 und 9 die gleichen Daten wie bezüglich Fig. 1 beschrieben erfasst. Die Daten der optischen Oberflächenabtastung werden auch hier im Analysemodell 2 aufbereitet. Jedoch werden hier sämtliche Informationen direkt an das Rechenmodell 7 zur Modellierung der optimalen Beizzeit TBeiz gegeben. Es wird also nicht wie bezüglich Fig. 1 anhand der Informationen der optischen Oberflächenabtastung sowie der Informationen über das Herstellungsverfahren eine Maßzahl für den Verzunderungsgrad ermittelt, die ihrerseits im Rechenmodell verarbeitet wird. Vielmehr werden hier die "Rohdaten" direkt dem Rechenmodell 7 gegeben. Bei diesem kann es sich ebenfalls um ein neuronales Netz handeln, welches, wie bevorzugt aber nicht notwendigerweise auch sämtliche andere beschriebenen Modelle, lernfähig ist.2 shows a second embodiment of the invention in the form of a diagram. In this, the same data as described with reference to FIG. 1 are recorded in steps 1, 3, 8 and 9 provided with the same reference symbols. The data of the optical surface scanning are also processed here in the analysis model 2. Here, however, all the information required directly to the calculation model for modeling the optimal pickling time 7 T pickling. It is therefore not, as with respect to FIG. 1, that a measure of the degree of scaling is determined on the basis of the information from the optical surface scanning and the information about the manufacturing process, which is in turn processed in the computing model. Rather, the "raw data" are given directly to the computing model 7 here. This can also be a neural network which, as is preferred but not necessarily all the other models described, is capable of learning.

Auch hier kann eine nachgeschaltete Oberflächenabtastung des gebeizten Metallbandes erfolgen, wobei das hieraus resultierende Analyseergebnis wiederum zur Adaption des Rechenmodells 7 dienen kann. Selbstverständlich ist auch hier eine direkte Rückkopplung im Rahmen einer Regelung des Badbetriebs möglich.A subsequent surface scan of the pickled metal strip, the resulting Analysis result in turn for the adaptation of the calculation model 7 can serve. Of course, there is also a direct one Feedback possible as part of a regulation of the bathroom operation.

Claims (14)

Verfahren zur Ermittlung einer Beizzeit eines eine Zunderschicht aufweisenden, zur Entfernung der Zunderschicht in einem Beizbad zu behandelnden Metallbandes, bei welchem Verfahren die Beizzeit mittels eines Rechenmodells anhand wenigstens einer bandspezifischen Information des verzunderten Metallbands und wenigstens einer beizbadspezifischen Information modelliert wird.Method for determining a pickling time of a scale layer having to remove the scale layer in one Pickling bath metal strip to be treated, in which process the pickling time using at least one calculation model a band-specific information of the scaled metal band and at least one bzbad-specific information is modeled. Verfahren nach Anspruch 1, bei welchem als bandspezifische Information wenigstens eine die gebildete Zunderschicht selbst beschreibende Information und/oder eine für die Bildung der Zunderschicht während der Herstellung des Metallbands relevante Information und/oder eine für eine durchgeführte mechanische Behandlung des Metallbands zur mechanischen Zunderentfernung relevante Information verwendet wird.A method according to claim 1, in which as a band-specific Information at least one the scale layer formed self-descriptive information and / or one for education the scale layer during the manufacture of the metal strip relevant information and / or one that has been carried out mechanical treatment of the metal strip for mechanical Scale relevant information is used. Verfahren nach Anspruch 2, bei welchem als die die Zundeschicht beschreibende Information eine durch eine automatische Abtastung der Oberfläche des zu beizenden Metallbands erhaltenen oberflächenspezifischen Information verwendet wird.A method as claimed in claim 2, in which the scale layer is used descriptive information by an automatic Scanning the surface of the metal strip to be pickled obtained surface-specific information used becomes. Verfahren nach Anspruch 3, bei welchem zur Erzeugung der oberflächenspezifischen Information durch eine optische Oberflächenabtastung eine ein Bild der Bandoberfläche liefernde Kamera verwendet wird, deren Bild automatisch zur Ermittlung eines die mit Zunder belegten Oberfläche beschreibenden Informationswerts analysiert wird.A method according to claim 3, wherein to generate the surface-specific information through an optical surface scan a providing an image of the tape surface Camera is used, the image of which is automatically determined an informational value describing the surface covered with scale is analyzed. Verfahren nach Anspruch 4, bei welchem als Informationswert ein die Zunderart angebender Informationswert und/oder ein die Zundermenge pro Flächeneinheit angebender Informationswert ermittelt wird. A method according to claim 4, wherein the information value an information value indicating the type of scale and / or an information value indicating the amount of scale per unit area is determined. Verfahren nach einem der Ansprüche 2 bis 5, bei welchem als für die Bildung der Zunderschicht relevante Information eine für das Herstellungsverfahren des Metallbands spezifischen Information verwendet wird.A method according to any one of claims 2 to 5, in which as information relevant for the formation of the scale layer one specific to the manufacturing process of the metal strip Information is used. Verfahren nach Anspruch 6, bei welchem als für das Herstellungsverfahren spezifische Information die Temperatur des Metallbands beim Aufwickeln auf eine Haspel, eine den Kühlvorgang des Metallbands betreffende Information, eine der Lagerung des Metallbands während der Abkühlung betreffende Information, eine das chemische Reaktionsverhalten zur Zunderbildung betreffende Information verwendet wird.A method according to claim 6, wherein as for the manufacturing process specific information the temperature of the Metal strips when winding on a reel, the cooling process information related to the metal strip, one of storage information related to the metal strip during cooling, the chemical reaction behavior for scale formation relevant information is used. Verfahren nach einem der Ansprüche 2 bis 7, bei welchem das Metallband zur mechanischen Zunderentfernung mit einem Streckrichter behandelt wird und als für die durchgeführte mechanische Behandlung des Metallbands zur mechanischen Zunderentfernung relevante Information wenigstens ein mechanischer Parameter der Streckrichterbehandlung verwendet wird.A method according to any one of claims 2 to 7, in which the metal tape for mechanical scale removal with a Stretching judge is treated and performed as for the mechanical treatment of the metal strip for mechanical scale removal relevant information at least one mechanical Stretch judge treatment parameters is used. Verfahren nach einem der vorangehenden Ansprüche, bei welchem als badspezifische Information die Badtemperatur, die Badzusammensetzung, die Badkonzentration, im Bad vorhandene Turbulenzen, die Eisenkonzentration im Bad berücksichtigt werden.Method according to one of the preceding claims, in which as bath-specific information the bath temperature, the Bath composition, the bath concentration, existing in the bath Turbulence, the iron concentration in the bathroom is taken into account become. Verfahren nach einem der Ansprüche 2 bis 9, bei welchem die für die Bildung der Zunderschicht während des Herstellungsverfahrens relevante Information in einem Zunderbildungsmodell verarbeitet und ein den Zunder beschreibender modellierter Informationswert ermittelt wird, der mit dem im Rahmen der Analyse des Oberflächenabtastungsbilds ermittelten Informationswert abgeglichen und ein den Verzunderungsgrad beschreibender Wert ermittelt wird, der dem Rechenmodell zur Modellierung der Beizzeit gegeben wird. A method according to any one of claims 2 to 9, in which those for the formation of the scale layer during the manufacturing process relevant information in a scale formation model processed and a model describing the tinder Information value is determined, which with the in Determined as part of the analysis of the surface scan image Information value compared and a degree of scaling descriptive value is determined that the calculation model for Modeling the pickling time is given. Verfahren nach einem der Ansprüche 1 bis 9, bei welchem die Informationen dem Rechenmodell zur Verarbeitung direkt gegeben werden.A method according to any one of claims 1 to 9, in which the information directly to the computing model for processing are given. Verfahren nach einem der vorangehenden Ansprüche, bei welchem eine Adaption des oder der verwendeten Modelle anhand der aus einer automatischen Oberflächenabtastung des gebeizten Metallbands resultierenden Information erfolgt.Method according to one of the preceding claims, which is based on an adaptation of the model or models used from an automatic surface scan of the pickled Metal tape resulting information is done. Verfahren nach einem der vorangehenden Ansprüche, bei welchem als Modelle neuronale Netze verwendet werden.Method according to one of the preceding claims, which are used as models of neural networks. Verfahren nach einem der Ansprüche 1 bis 12, bei welchem als Modelle Fuzzy Regler verwendet werden.A method according to any one of claims 1 to 12, in which Fuzzy controllers are used as models.
EP00126992A 1999-12-08 2000-12-08 Method for determining the pickling time of a scaled metal strip Expired - Lifetime EP1106713B1 (en)

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DE (2) DE19959204A1 (en)
ES (1) ES2244389T3 (en)

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EP1167577A2 (en) * 2000-06-30 2002-01-02 SMS Demag AG Process and apparatus for automatically detecting scale on metallic strip surfaces, in particular hot rolled steel or stainless steel strip
FR2925530A1 (en) * 2007-12-21 2009-06-26 Siemens Vai Metals Tech Sas INSTALLATION AND METHOD FOR CONTINUOUS STRIPPING OF STEEL BANDS
WO2010006895A1 (en) * 2008-07-16 2010-01-21 Siemens Aktiengesellschaft Operating method for a processing device processing a metal strip and system for processing a metal strip
WO2021058044A1 (en) * 2019-09-26 2021-04-01 Siedentop Gmbh Automated pickling time selection

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DE102011017371B3 (en) * 2011-04-16 2012-07-19 Technische Universität Bergakademie Freiberg Improving surface quality of semi-finished product made of steel during hot deformation by influencing scale layer, comprises pressing one of three scale components e.g. magnetite and deforming obtained cylindrical and rectangular samples

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1167577A2 (en) * 2000-06-30 2002-01-02 SMS Demag AG Process and apparatus for automatically detecting scale on metallic strip surfaces, in particular hot rolled steel or stainless steel strip
EP1167577B1 (en) * 2000-06-30 2008-04-16 SMS Demag AG Process and apparatus for automatically detecting scale on metallic strip surfaces, in particular hot rolled steel or stainless steel strip
FR2925530A1 (en) * 2007-12-21 2009-06-26 Siemens Vai Metals Tech Sas INSTALLATION AND METHOD FOR CONTINUOUS STRIPPING OF STEEL BANDS
US20100269854A1 (en) * 2007-12-21 2010-10-28 Siemens Vai Metals Technologies Sas Apparatus and Method for the Continuous Pickling of Steel Strip
RU2451772C2 (en) * 2007-12-21 2012-05-27 Сименс Фаи Металз Текнолоджиз Сас Apparatus and method for continuous steel strip etching
KR101227282B1 (en) * 2007-12-21 2013-01-28 지멘스 바이 메탈스 테크놀로지 에스에이에스 Apparatus and method for the continuous pickling of steel strip
US8834636B2 (en) * 2007-12-21 2014-09-16 Siemens Vai Metals Technologies Sas Apparatus and method for the continuous pickling of steel strip
WO2010006895A1 (en) * 2008-07-16 2010-01-21 Siemens Aktiengesellschaft Operating method for a processing device processing a metal strip and system for processing a metal strip
WO2021058044A1 (en) * 2019-09-26 2021-04-01 Siedentop Gmbh Automated pickling time selection

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EP1106713A3 (en) 2002-07-31
DE50010598D1 (en) 2005-07-28
EP1106713B1 (en) 2005-06-22
DE19959204A1 (en) 2001-07-12
ES2244389T3 (en) 2005-12-16
ATE298375T1 (en) 2005-07-15

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