The disclosure relates to a method for operating an annealing furnace to anneal a metal strip.
Methods for operating an annealing furnace are generally known in the prior art, for example from the German application document DE 10 2013 225 579 A1. This document discloses a method for controlling and/or regulating an annealing or heat treatment furnace for a metal strip, wherein the furnace is upstream of a roll stand. At least one measuring device makes online recordings of a mechanical material property of the metal strip and generates a corresponding measured value. Such measured value is fed back into the regulator for the annealing or heat treatment furnace.
EP 2 742 158 B1 discloses a method for operating a continuous annealing line for processing a metal strip. A model predictive regulation is proposed, with which at least one property of the metal strip is fed to a computer-aided model as an input variable, and wherein the input variable refers to a point or section of the metal strip before or in the continuous annealing line. With the assistance of the computer-aided model, at least one material property of the rolled material is simulated according to the continuous annealing process. This simulated material property is compared with a predefined target value. If the simulated material property deviates from the target value, at least one process variable, for example the temperature or the speed of the metal strip during the continuous annealing process, is controlled by a control device. This takes place until at least one point or section of the rolled material to which the input variable refers is still in front of or in the continuous annealing line.
The regulation of the material property of a metal strip to a desired target material property claimed in EP patent EP 2 742 158 B1, including a simulation of actual material properties of a metal strip with the assistance of a computer-aided model, requires a lot of computing power and calculation time. The regulation is carried out by an interactive modification of process parameters, temperature and/or speed in such a manner that the desired material properties for the metal strip result from it. The increased calculation time is disadvantageous, because it results in a reduction of the possible calculation cases or iteration steps.
The disclosure is based on the task of further developing a known method for operating an annealing furnace to anneal a metal strip with a view to improving product quality and increasing yield. This task is solved by the claimed method.
The method constitutes a control (open-loop control), but not a regulation (closed-loop control). Within the framework of this control, the calculation and specification of a target temperature distribution and/or a target speed of the metal strip in the annealing furnace is carried out in such a manner that the metal strip has a desired target material property after leaving the annealing furnace. The presence of this desired target material property is not monitored within the framework of the method—unlike in the case of a regulation; in particular, the desired target material property is not compared with a measured actual material property of the metal strip downstream of the annealing output in order to form a material property control difference, and this control difference is not regulated to zero.
Strictly speaking, the term “temperature distribution” refers to a section of the metal strip. However, for the purposes of this description, the term “temperature distribution” also implies a singular temperature value at a particular point on the metal strip.
Within the meaning of this description, the term “annealing furnace” includes not only heating equipment but also cooling equipment downstream in the direction of flow.
The calculation and specification of a target temperature distribution and/or a target speed of the metal strip in the annealing furnace is less time-consuming than the simulation of material properties. In addition, there is no feedback of a process variable within the framework of the control system claimed. As a whole, an increase in output is thus possible.
The method can execute a desired self-correction or self-adaptation. For this purpose, the actual material property of the metal strip is measured after passing through the annealing furnace, and a comparative temperature distribution and/or a comparative speed of the metal strip in the annealing furnace are calculated with the assistance of the computer-aided model of the annealing furnace, as a function of the measured actual material property and provided information relating to the metal strip before or in the annealing furnace. The temperature distribution and/or the speed of the metal strip in the annealing furnace are then adjusted to the previously determined comparative temperature distribution and/or the comparative speed through the suitable adaptation of the computer-aided model.
In other words: within the framework of self-correction or self-adaptation, it is provided to carry out the method for the specification of a temperature distribution and/or the speed of the metal strip in the annealing furnace, with the only difference that the computer model is supplied with, instead of the target material property, the actually measured material property of the metal strip as an input variable after passing through the annealing furnace. For a better conceptual distinction in this case, the output variables of the computer-aided model are called comparative variables, here specifically the comparative temperature distribution and/or the comparative speed. The actual temperature distribution and/or the actual speed of the metal strip in the annealing furnace are recorded as actual values and compared with the previously calculated comparative variables. Such comparison may result in a nonzero deviation for the temperature distribution and/or for the speed of the metal strip in the annealing furnace. In an adaptation value calculation unit, at least one suitable adaptation value is then calculated on the basis of the specified deviations. The computer-aided model is then adapted with the assistance of the calculated adaptation value. The method described above for operating an annealing furnace is then carried out for future metal strips, preferably with the adapted computer-aided model. This results in optimized target temperature distributions and/or target speeds for the metal strip, which are set as control elements in the annealing furnace with the assistance of a furnace control system.
In one embodiment, the computer-aided model can work, for example, with an experience database or with a statistical model or with stored annealing curves, and can therefore be used for any steel grade. This model can be used immediately, especially for newly developed steel grades. In contrast to a physical model, which must first be implemented for each new steel grade, the statistical model used is easier to generate.
In accordance with another preferred exemplary embodiment, the adaptation of the computer-assisted model does not take place during the passing through the annealing surface of that metal strip on the basis of whose measured or simulated actual material properties the calculation of the at least one adaptation value or the adaptation of the computer-assisted model was carried out. Instead, the adaptation preferably takes place only for metal strips to be annealed in the future.
The term “material property of the metal strip,” whether target or actual variable, within the framework of this description refers, for example, to the yield strength, tensile strength, elongation at break or uniform elongation of the metal strip after it has passed through the annealing furnace.
The term “information relating to the metal strip” includes, for example, its tensile strength and/or yield strength before a continuous galvanizing line (CGL), before a continuous annealing line (CAL), in a pickling line or before a reel. The information can also refer to
This enumeration does not claim to be complete; rather, other or further information can be added to the computer-aided model as input variables.
Exemplary embodiments are described in detail below with reference to the specified figures. In all figures, the same technical elements are designated with the same reference signs.
After the calculation of the target temperature distribution TTarget and/or the target speed VTarget by the computer-aided model 220, the corresponding values are output to a furnace control system 230 as control elements and implemented or set by this in the annealing furnace 200. The specified setting of the target temperature distribution TTarget and/or the target speed VTarget of the metal strip in the annealing furnace is carried out with the aim of transferring the actual material property MPActual of the metal strip behind the annealing furnace to the specified desired target material property MPTarget, likewise behind the annealing furnace.
The calculation of the target temperature distribution TTarget and/or the target speed VTarget of the metal strip in the annealing furnace is carried out as long as at least one point or section of the metal strip to which the specified target material property MPTarget of the metal strip refers is still in front of or in the annealing furnace.
The computer-aided model 220 can use an experience database, a statistical model and/or stored annealing curves when calculating the target temperature distribution TTarget in the annealing furnace 200 and/or when calculating the target speed VTarget with which the metal strip passes through the annealing furnace 200.
In order to continuously improve the quality of the method for operating the annealing furnace 200, the method optionally provides for an occasional adaptation of the computer-aided model 220, see
The comparative temperature distribution TComp and comparative speed VComp are calculated with the same computer model 220, taking into account the same information E on the metal strip as the first input variable, such as the target temperature distribution and the target speed of the metal strip in the annealing furnace as shown in
Specifically, the specified adjustment comprises the following sub-steps; see
The actual temperature distribution TActual and/or actual speed VActual of the metal strip 100 in the annealing furnace 200 is/are measured; see
At least one of these deviations is included in an adaptation value calculation device 240, which calculates from these input variables at least one suitable adaptation value a for adjusting or adapting the computer-aided model 220. The computer-aided model 220 is then adapted with such adaptation value. Such adaptation of the computer model 220 does not take place during the passing of a metal strip through the annealing furnace, but preferably only after the passing through of a complete metal strip. For this reason, the adaptation of the computer-aided model 220 will only have an effect on future metal strips. In this respect, the adjustment to the comparative value is extremely slow. Advantageously, the adaptation and the measured value acquisition carried out for it enables good documentation and thus also conclusive proof of the production conditions in the past; this is valuable quality documentation for further processors.
After the computer model 220 has been adapted, future calculations of the target temperature distribution TTarget and/or the target speed VTarget of the metal strip are performed with the assistance of the adapted computer-aided model. The annealing furnace 200 is then operated with the newly calculated target values for temperature distribution or speed distribution.
Number | Date | Country | Kind |
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10 2017 210 230.6 | Jun 2017 | DE | national |
Filing Document | Filing Date | Country | Kind |
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PCT/EP2018/064722 | 6/5/2018 | WO | 00 |
Publishing Document | Publishing Date | Country | Kind |
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WO2018/234028 | 12/27/2018 | WO | A |
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