WO1999013999A1 - Procede et dispositif pour le refroidissement de metaux dans une usine metallurgique - Google Patents
Procede et dispositif pour le refroidissement de metaux dans une usine metallurgique Download PDFInfo
- Publication number
- WO1999013999A1 WO1999013999A1 PCT/DE1998/002602 DE9802602W WO9913999A1 WO 1999013999 A1 WO1999013999 A1 WO 1999013999A1 DE 9802602 W DE9802602 W DE 9802602W WO 9913999 A1 WO9913999 A1 WO 9913999A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- temperature
- metal
- cooling
- strip
- temperature model
- Prior art date
Links
- 238000001816 cooling Methods 0.000 title claims abstract description 51
- 229910052751 metal Inorganic materials 0.000 title claims abstract description 43
- 239000002184 metal Substances 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 19
- 150000002739 metals Chemical class 0.000 title description 2
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 24
- 239000010959 steel Substances 0.000 claims abstract description 24
- 238000005096 rolling process Methods 0.000 claims abstract description 5
- 238000013528 artificial neural network Methods 0.000 claims description 23
- 239000000956 alloy Substances 0.000 claims description 9
- 229910045601 alloy Inorganic materials 0.000 claims description 9
- 239000002826 coolant Substances 0.000 claims description 7
- 239000000498 cooling water Substances 0.000 claims description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 3
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 claims description 3
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 3
- RTAQQCXQSZGOHL-UHFFFAOYSA-N Titanium Chemical compound [Ti] RTAQQCXQSZGOHL-UHFFFAOYSA-N 0.000 claims description 3
- 229910052799 carbon Inorganic materials 0.000 claims description 3
- 229910052804 chromium Inorganic materials 0.000 claims description 3
- 239000011651 chromium Substances 0.000 claims description 3
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 claims description 3
- 229910052758 niobium Inorganic materials 0.000 claims description 3
- 239000010955 niobium Substances 0.000 claims description 3
- GUCVJGMIXFAOAE-UHFFFAOYSA-N niobium atom Chemical compound [Nb] GUCVJGMIXFAOAE-UHFFFAOYSA-N 0.000 claims description 3
- 229910052710 silicon Inorganic materials 0.000 claims description 3
- 239000010703 silicon Substances 0.000 claims description 3
- 239000010936 titanium Substances 0.000 claims description 3
- 229910052719 titanium Inorganic materials 0.000 claims description 3
- 230000001537 neural effect Effects 0.000 abstract 1
- 230000006978 adaptation Effects 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000002068 genetic effect Effects 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/74—Temperature control, e.g. by cooling or heating the rolls or the product
- B21B37/76—Cooling control on the run-out table
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D11/00—Process control or regulation for heat treatments
- C21D11/005—Process control or regulation for heat treatments for cooling
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D9/00—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
- C21D9/52—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor for wires; for strips ; for rods of unlimited length
- C21D9/54—Furnaces for treating strips or wire
- C21D9/56—Continuous furnaces for strip or wire
- C21D9/573—Continuous furnaces for strip or wire with cooling
Definitions
- the invention relates to a method and a device for cooling steel strips at the exit of a finishing block in a rolling mill, the cooling being carried out by means of a temperature model of the steel strip to be cooled or the cooling device.
- a temperature model of the steel strip to be cooled or the cooling device To e.g. To regulate the outlet temperature of a steel strip, it is necessary to predict the expected outlet temperature for a given cooling by means of a temperature model and to regulate the cooling with this predicted value. A control intervention to influence the outlet temperature at the point in time at which the outlet temperature can be measured is no longer possible, because at this point the metal has already left the cooling section.
- the quality of the temperature control essentially depends on the precision of the values supplied by the temperature model. It is therefore important that the temperature model models the thermal conditions in the metal and the cooling process well. However, it has been shown that with the large number of parameters of such a temperature model, a good adaptation to the real cooling conditions is very difficult.
- the object is achieved according to the invention by a method according to claim 1 or a device according to claim 11.
- the cooling is set as a function of the temperature of the metal or steel strip in such a way that it reaches a desired target temperature, and the temperature of the metal or steel strip is determined using a temperature model or is estimated, and the parameters of the temperature model, in particular heat transfer coefficients, specific heat and thermal conductivity of the metal or correction values for parameters of the temperature model, are determined by means of a neural network. In this way, the parameters of the cooling model can be calculated particularly precisely. If the cooling is set as a function of the outlet temperature of the metal or steel strip from the finished block, which is determined or estimated using the temperature model, this results in a particularly precise regulation of the outlet temperature of the metal or steel strip.
- correction values for the parameters of the temperature model are determined instead of the parameters of the temperature model, it has proven to be particularly advantageous to multiply correction values for the parameters of the temperature model by the corresponding parameters of the temperature model, the result being a corrected parameter of the temperature model.
- corrected parameters of the temperature model can also be determined directly by the neural network.
- the neural network forms the parameters of the temperature model or the correction values for the parameters of the temperature model as a function of at least one of the sizes strip thickness, strip width, strip temperature before the cooling section, strip temperature after the cooling section, strip speed, temperature of the coolant, in particular cooling water , and the sum of the alloy proportions, carbon, manganese, chromium, silicon, niobium and titanium being taken into account in particular. It has also proven to be advantageous to adapt the neural network to the actual process by means of online adaptation.
- the method according to the invention and the device according to the invention have proven to be particularly advantageous when used for the cooling of metal sheets which are wound onto a reel after they have left a cooling section, since it is particularly important during reeling that the reeled-up metal has the right temperature. If there are too large deviations from the desired target temperature, the quality of the metal is impaired.
- FIG. 1 shows a device for cooling a metal strip 2 shows an advantageous structure of the cooling method according to the invention
- FIG. 1 shows a device for cooling a steel or metal strip 1, 2, 3, which runs out of a finishing train 8 in the direction of the arrow identified by reference number 4 and that is wound on a reel 5.
- a cooling section which has cooling nozzle arrangements 6 and 7, lies between the finishing train 8 and the reel 5. Coolant, in particular water, emerges from the cooling nozzles, by means of which the steel strip 1, 2, 3 is cooled.
- the cooling nozzle blocks 6 and 7 are controlled or regulated by means of a computing device 90 to which they are connected by means of a data line 92.
- the computing device 90 also receives measured values about the outlet temperature of the metal strips 3, which is measured by means of a measuring device 91.
- the computing device 90 can be made in one or more pieces.
- the regulation or control of the outlet temperature of the metal strip is a temperature model, a neural network for correcting selected parameters of the temperature model and the adaptation of a neural network for correcting parameters of the temperature model on one and the same hardware Platform implemented.
- these tasks are only partially implemented on the same hardware. It is advantageously provided that all parameters of the temperature model are not necessarily corrected by means of the neural network. In some cases it is sufficient to correct only a few parameters of the correction model, in particular the heat transfer coefficient between metal and coolant. Provision can also be made to optimize the temperature model beforehand using genetic algorithms.
- a cooling section 16, into which metal 17 runs and cooled metal 18 runs out, is regulated by means of a control 9, which specifies setpoints 13 for cooling. These setpoints 13 for the cooling are regulated by the control 9 as a function of the desired setpoint outlet temperature 19 of the cooled metal 18 and an estimated outlet temperature 10 of the metal 18.
- the estimated outlet temperature 10 is determined by means of a temperature model 11 as a function of the setpoints 13 for cooling.
- the parameters of the temperature model are corrected using correction values 14 or corrected parameters 14 of the temperature model 11 are determined. All parameters of the temperature model 11 can be corrected. However, it has proven to be advantageous to correct only a selection of parameters of the temperature model 11.
- the correction values 14 of the parameters of the temperature model 11 are formed as a function of the input variables 15 of a neural network 12.
- the input variables 15 of the neural network can be parameters of the metal or the cooling section, such as the strip thickness, the strip width, the strip temperature before the cooling section, the strip temperature after the cooling section, the strip speed, the temperature of the cooling water, alloy fractions, in particular of carbon, manganese, Chromium, silicon, niobium or titanium, as well as the sum of all alloys.
- the parameters can be measured variables, such as the strip temperature before the cooling section, the strip temperature after the cooling section or the temperature of the cooling water, or data that come from a higher-level system and are stored, for example, in pass schedules.
- Such sizes which are known to a higher-level system, are, for example, the strip thickness, the strip width, the strip speed and the alloy proportions.
- the neural network has a layer with input nodes 20, a layer with hidden nodes 21 and a layer with output nodes 22.
- the inputs for the input nodes 20 can be the bandwidth, the strip thickness, the strip temperature before the cooling section, the strip temperature after the cooling section, the strip speed and the alloy components.
- An output node 22 is provided in the present exemplary embodiment. This outputs, for example, a corrected heat transfer coefficient or a corresponding correction value.
Landscapes
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Crystallography & Structural Chemistry (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Control Of Metal Rolling (AREA)
- Heat Treatment Of Strip Materials And Filament Materials (AREA)
Abstract
L'invention concerne un procédé et un dispositif pour le refroidissement de feuillards de métal et d'acier en sortie d'un bloc préfabriqué d'un train de laminoir. Le refroidissement est ajusté en fonction de la température du feuillard de métal ou d'acier de manière à atteindre une température théorique souhaitée, la température du feuillard de métal ou d'acier est déterminée ou préévaluée au moyen d'un modèle de température, et les paramètres de ce dernier, notamment les coefficients de transmission thermique, la chaleur massique et la conductibilité thermique du métal, ou bien les valeurs de correction des paramètres du modèle de température sont déterminés au moyen d'un réseau neuronal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19881325T DE19881325D2 (de) | 1997-09-16 | 1998-09-03 | Verfahren und Einrichtung zur Kühlung von Metallen in einem Hüttenwerk |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE1997140691 DE19740691A1 (de) | 1997-09-16 | 1997-09-16 | Verfahren und Einrichtung zur Kühlung von Metallen in einem Hüttenwerk |
DE19740691.2 | 1997-09-16 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO1999013999A1 true WO1999013999A1 (fr) | 1999-03-25 |
Family
ID=7842514
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/DE1998/002602 WO1999013999A1 (fr) | 1997-09-16 | 1998-09-03 | Procede et dispositif pour le refroidissement de metaux dans une usine metallurgique |
Country Status (2)
Country | Link |
---|---|
DE (2) | DE19740691A1 (fr) |
WO (1) | WO1999013999A1 (fr) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6860950B2 (en) | 2001-06-20 | 2005-03-01 | Siemens Aktiengesellschaft | Method for cooling a hot-rolled material and corresponding cooling-line models |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19963186B4 (de) * | 1999-12-27 | 2005-04-14 | Siemens Ag | Verfahren zur Steuerung und/oder Regelung der Kühlstrecke einer Warmbandstrasse zum Walzen von Metallband und zugehörige Vorrichtung |
RU2184632C2 (ru) * | 2000-07-27 | 2002-07-10 | Морозов Андрей Андреевич | Способ управления условиями охлаждения проката |
RU2183522C1 (ru) * | 2001-04-26 | 2002-06-20 | Урцев Владимир Николаевич | Способ управления процессом охлаждения проката |
DE10156008A1 (de) * | 2001-11-15 | 2003-06-05 | Siemens Ag | Steuerverfahren für eine einer Kühlstrecke vorgeordnete Fertigstraße zum Walzen von Metall-Warmband |
DE10251716B3 (de) * | 2002-11-06 | 2004-08-26 | Siemens Ag | Modellierverfahren für ein Metall |
JP4767544B2 (ja) * | 2005-01-11 | 2011-09-07 | 新日本製鐵株式会社 | 鋼板の冷却制御方法 |
RU2299916C1 (ru) * | 2005-11-24 | 2007-05-27 | Общество с ограниченной ответственностью "СЛОТ" | Способ управления процессом термообработки сортового проката в многосекционных термоупрочняющих установках |
FR2897620B1 (fr) * | 2006-02-21 | 2008-04-04 | Stein Heurtey | Procede et dispositif de refroidissement et de stabilisation de bande dans une ligne continue |
CN101480669B (zh) * | 2008-01-07 | 2011-04-13 | 宝山钢铁股份有限公司 | 高速线材轧机斯太尔摩线冷却方法及冷却装置 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04232214A (ja) * | 1990-12-28 | 1992-08-20 | Nippon Steel Corp | 鋼板の冷却制御方法及びその装置 |
JPH04339511A (ja) * | 1991-05-10 | 1992-11-26 | Nippon Steel Corp | 鋼板の冷却制御方法 |
JPH07214132A (ja) * | 1994-02-07 | 1995-08-15 | Nippon Steel Corp | 熱延鋼帯の捲取温度制御方法 |
DE19637916A1 (de) * | 1996-09-17 | 1998-03-19 | Siemens Ag | Verfahren und Vorrichtung zum Kühlen eines Walzgutes |
WO1998049354A1 (fr) * | 1997-04-25 | 1998-11-05 | Siemens Aktiengesellschaft | Procede et dispositif pour refroidir des metaux dans une usine metallurgique |
-
1997
- 1997-09-16 DE DE1997140691 patent/DE19740691A1/de not_active Withdrawn
-
1998
- 1998-09-03 WO PCT/DE1998/002602 patent/WO1999013999A1/fr active Application Filing
- 1998-09-03 DE DE19881325T patent/DE19881325D2/de not_active Ceased
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04232214A (ja) * | 1990-12-28 | 1992-08-20 | Nippon Steel Corp | 鋼板の冷却制御方法及びその装置 |
JPH04339511A (ja) * | 1991-05-10 | 1992-11-26 | Nippon Steel Corp | 鋼板の冷却制御方法 |
JPH07214132A (ja) * | 1994-02-07 | 1995-08-15 | Nippon Steel Corp | 熱延鋼帯の捲取温度制御方法 |
DE19637916A1 (de) * | 1996-09-17 | 1998-03-19 | Siemens Ag | Verfahren und Vorrichtung zum Kühlen eines Walzgutes |
WO1998049354A1 (fr) * | 1997-04-25 | 1998-11-05 | Siemens Aktiengesellschaft | Procede et dispositif pour refroidir des metaux dans une usine metallurgique |
Non-Patent Citations (5)
Title |
---|
AUZINGER D ET AL: "NEUE ENTWICKLUNGEN BEI PROZESSMODELLEN FUER WERMBREITBANDSTRASSEN", STAHL UND EISEN, vol. 116, no. 7, 15 July 1996 (1996-07-15), pages 59 - 65, 131, XP000629440 * |
PATENT ABSTRACTS OF JAPAN vol. 016, no. 581 (C - 1012) 21 December 1992 (1992-12-21) * |
PATENT ABSTRACTS OF JAPAN vol. 017, no. 191 (M - 1396) 14 April 1993 (1993-04-14) * |
PATENT ABSTRACTS OF JAPAN vol. 095, no. 011 26 December 1995 (1995-12-26) * |
PICHLER R ET AL: "ON-LINE OPTIMISATION OF THE ROLLING PROCESS - A CASE OF NEURAL NETWORKS", STEEL TIMES - INCORPORATING IRON & STEEL, vol. 224, no. 9, September 1996 (1996-09-01), pages 310/311, XP000633287 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6860950B2 (en) | 2001-06-20 | 2005-03-01 | Siemens Aktiengesellschaft | Method for cooling a hot-rolled material and corresponding cooling-line models |
Also Published As
Publication number | Publication date |
---|---|
DE19740691A1 (de) | 1999-03-18 |
DE19881325D2 (de) | 2000-10-26 |
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