WO2008012881A1 - Appareil de contrôle de matériaux et de prévision de matériaux pour ligne de laminage - Google Patents

Appareil de contrôle de matériaux et de prévision de matériaux pour ligne de laminage Download PDF

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Publication number
WO2008012881A1
WO2008012881A1 PCT/JP2006/314801 JP2006314801W WO2008012881A1 WO 2008012881 A1 WO2008012881 A1 WO 2008012881A1 JP 2006314801 W JP2006314801 W JP 2006314801W WO 2008012881 A1 WO2008012881 A1 WO 2008012881A1
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WO
WIPO (PCT)
Prior art keywords
rolling
information
function
prediction
model
Prior art date
Application number
PCT/JP2006/314801
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English (en)
Japanese (ja)
Inventor
Hiroyuki Imanari
Kazuhiro Ohara
Original Assignee
Toshiba Mitsubishi-Electric Industrial Systems Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Toshiba Mitsubishi-Electric Industrial Systems Corporation filed Critical Toshiba Mitsubishi-Electric Industrial Systems Corporation
Priority to PCT/JP2006/314801 priority Critical patent/WO2008012881A1/fr
Priority to CN200680001083A priority patent/CN100577315C/zh
Priority to JP2007512360A priority patent/JP5003483B2/ja
Priority to TW095134722A priority patent/TWI312069B/zh
Publication of WO2008012881A1 publication Critical patent/WO2008012881A1/fr

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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
    • B21B37/16—Control of thickness, width, diameter or other transverse dimensions

Definitions

  • the present invention relates to a rolling line material prediction and material control device for producing a product with a desired size and shape in a line for rolling a metal material and obtaining a desired material.
  • materials such as mechanical properties (strength, formability, toughness, etc.) and electromagnetic properties (permeability, etc.) include heating conditions, processing conditions, It also changes depending on the cooling conditions.
  • the alloy composition is adjusted by controlling the amount of component elements added. At the time of component adjustment, for example, a component adjustment furnace that can hold about 100 tons of molten steel is used. It is not possible to change the amount of supplementary calories for individual products. Therefore, in order to manufacture a product of a desired material, it is important to make the material by making heating conditions, processing conditions, and cooling conditions appropriate.
  • the heating temperature target value, post-processing dimension target value, cooling speed target value, etc. are determined based on many years of experience for each product specification for each condition of heating, processing, and cooling. In order to achieve this, a method of performing temperature control and dimensional control has been generally used. However, in recent years, the target values cannot always be determined properly by the method based on the experience of increasingly sophisticated and diversified requirements for product specifications, resulting in a case where the desired material cannot be obtained. It was.
  • Patent Document 1 Japanese Patent No. 2509481
  • Patent Document 2 Japanese Patent Laid-Open No. 2001-349883
  • the actual values used for the material prediction include the respective values obtained after heating, rough rolling, finish rolling and cooling of the steel material. This is the actual value before and after the process, and information in the middle of the process is not used. In this case, for example, even if the temperature of the rolled material is high before the process and low after the process, the temperature may rise during the process compared to before the process. The result is not always obtained.
  • the present invention has been made to solve the above-described problems. By providing a function of simulating a process change process and complementing information, the prediction accuracy of the material model is improved. Providing material prediction and material control equipment for rolling lines that control materials with high precision The purpose is to serve.
  • the rolling line material prediction and material control device is a rolling material manufactured in a hot rolling line that heats and rolls a metal material to a predetermined temperature.
  • a material prediction function that predicts the material of the rolled material in synchronization with the progress of the rolling performance information and the process intermediate information based on the supplementary function and the rolling performance information and the process intermediate information. And those in which a material control function of controlling so as to match the material to target material.
  • the rolling record information collecting function and the process information complementing function are realized by different computers.
  • the process information complementing function is configured by a simulator based on a rolling model, and is executed as the rolling progresses.
  • the rolling model learns the rolling model using the rolling record information. It has a model learning function.
  • the material prediction function can be executed by the progress of rolling based on a material model that represents a change in the state of the material.
  • material information measured after rolling is used. It has a material model learning function that learns a material model using.
  • FIG. 1 is a block diagram showing an overall configuration of a material prediction and material control device for a rolling line in Embodiment 1 of the present invention.
  • FIG. 2 is a block diagram showing a detailed configuration of a rolling line material prediction and material control device in Embodiment 1 of the present invention.
  • FIG. 3 is a block diagram showing a detailed configuration of a material prediction and material control device for a rolling line in Embodiment 1 of the present invention.
  • FIG. 4 is a block diagram showing a detailed configuration of a rolling line material prediction and material control device according to Embodiment 1 of the present invention.
  • FIG. 5 is a block diagram showing a detailed configuration of a material prediction and material control device for a rolling line in Embodiment 1 of the present invention.
  • FIG. 6 is a block diagram showing a detailed configuration of a material prediction and material control device for a rolling line in Embodiment 1 of the present invention.
  • FIG. 7 is a block diagram showing a detailed configuration of a material prediction and material control device for a rolling line in Embodiment 1 of the present invention.
  • FIG. 8 is a block diagram showing the overall configuration of a rolling line material prediction and material control apparatus according to Embodiment 2 of the present invention.
  • FIG. 1 is a block configuration diagram showing a material prediction and material control device for a rolling line in Embodiment 1 of the present invention.
  • the rolling line 1 the rolled material that also has a metal material strength is heated to a predetermined temperature, and processed through rolling, cooling, and the like to become a product.
  • Rolling line 1 includes a heating device, a motor drive device that drives the roll, and a rolling device that changes the opening of the roll.
  • Equipment, a cooling device, etc. are provided, and the shape and shape such as thickness and width of the rolled material to be produced and the temperature of the rolled material are controlled!
  • the setting control in the rolling line 1 first, what kind of product is manufactured by the host computer 2 is determined, and a rolling command including information on the product specifications, such as thickness, width, cross-sectional shape, etc., is sent to the setting control computer 3. send.
  • the setting control computer 3 controls the rolling line 1 by performing setting calculations and control calculations necessary to achieve the desired product quality.
  • the setting control computer 3 generally requires predictive calculation using a rolling model, etc., so the rolling model is inherent, and the predicted value and the actual rolling value are compared to adaptively correct the model. It is generally done.
  • This rolling performance information collection function 5 collects the position information of the rolled material, and the thermometer, load cell, plate thickness meter, plate width meter, plate crown meter, etc. set in the rolling line according to the progress of the rolled material. Collect the values measured by the sensors. The collected data is stored as data covering the entire length of the rolled material or used to display it as momentary information.
  • This rolling performance information collection function 5 may be realized in the setting control computer 3 or may be realized in another computer. For example, if the existing rolling line 1 already has an equivalent to the rolling performance information collection function 5, it can be used.
  • the necessary condition of the rolling performance information collecting function 5 in the present invention is preferably that data measured by each sensor and position information of the rolled material can be sent to the process information complementing function 6 in real time. However, there may be a slight delay in real time.
  • Process information supplement function 6 simulates phenomena that occur in rolling line 1 such as rolling process, cooling process, etc., which is more detailed than data 'data that can also obtain sensor information' information that cannot be measured only with rolling performance information collection function 5 It is a function.
  • the process information supplement function 6 can be realized by a simulator and reproduces the rolling and cooling processes numerically using a rolling model that can express a dynamic rolling phenomenon.
  • Material prediction function 7 is the data, information and process acquired by rolling performance information collection function 5 Information supplement function 6 Detailed information on rolling and cooling calculated in 6 and data and information on the rolled material (product) that has become a product after the rolling material has undergone processes such as rolling and cooling are input using the material inspection system 4 The material is predicted based on the information.
  • the model that predicts the material is the input / output information force indicated by the sensor information of the rolling line 1 as used in the conventional force. You need to use a model that can.
  • the material prediction function 7 when the rolled material becomes a product through processes such as rolling and cooling, the rolled material (product) is inspected by the material inspection system 4, and the material inspection result is input.
  • the material control function 8 uses the material predicted in the material prediction function 7 to calculate rolling conditions for realizing a desired material, and gives the rolling conditions to the setting control computer 3.
  • FIG. 2 shows an example of how the temperature changes during actual rolling. It is assumed that the water cooling device 11 is installed while the rolled material 9 is rolled on the NO.i rolling stand 10i and conveyed to the NO.i + 1 rolling stand lOi + 1.
  • FIG. 2 shows the temperature distribution in the thickness direction of the rolled material 9 from position 1 to position 4.
  • the measured value by the inlet side thermometer 12 of the NO.i rolling stand 10i is 945 ° C which is the surface temperature on the upper side of the rolled material 9
  • the internal temperature is high, so as an example, the internal center temperature is + 20 ° C high!
  • the measured value by the delivery side thermometer 13 after rolling at the NO.i rolling stand 10i shows that the entire temperature of the rolling material 9 is lowered at position 2 because heat is taken from the rolling material 9 to the surface of the rolling roll 14.
  • the difference between the surface temperature and the internal temperature widens, indicating that, for example, the upper surface temperature is 925 ° C and the internal center temperature is + 30 ° C higher.
  • the temperature inside the rolled material 9 is conducted to the surface and reheated, so the temperature difference between the surface and the inside becomes small.
  • the surface is cooled by the water cooling device 11, so that the temperature of the entire rolled material 9 is lowered again and the difference between the surface temperature and the internal temperature is increased to + 30 ° C.
  • the process information supplement function 6 calculates detailed information on rolling and cooling.
  • Figure 3 shows an example for calculating the temperature distribution in the thickness direction of the rolled material.
  • Fig. 3 it is divided into four in the direction of the plate thickness, each is represented by a node, and the heat conduction between the nodes is calculated.
  • FIG. 3 the general drawing from node i to node i + 1 is shown.
  • A Area [m 2 ].
  • the heat transfer between the rolled material and the outside is a boundary condition, and is expressed by, for example, equation (3).
  • the subscripts R, W, and A indicate contact with the rolling roll, cooling water, and air, respectively.
  • ⁇ indicates the heat transfer coefficient with the rolling roll
  • r indicates the contact ratio with the rolling roll.
  • RR Equation (3) can also be converted to a difference equation and solved by a computer.
  • the number of nodes in the thickness direction of the rolled material is 5 and in Fig. 3, the number of nodes is only an example. If the number is increased, accurate calculation results can be obtained. However, if the number is too large, the calculation load will only increase and the improvement in accuracy will slow down, so the selection of the number of nodes must be considered in advance.
  • the temperature of the rolled material is calculated as the rolled material is rolled and advanced from the upstream to the downstream.
  • By performing temperature calculation in this way it is possible to know in detail the temperature information that has a large effect on the material of the rolled material.
  • FIG. 2 only the positions from position 1 to position 4 are described as an example, but it goes without saying that temperature calculation at a more detailed position is necessary.
  • the deformation in the roll bit differs depending on the width direction.
  • the rolling roll is squeezed by the rolling load, so that a so-called plate crown is formed on the exit side of the rolling stand. That is, the amount of plastic deformation received at the center in the plate width direction and at the plate edge is different. Since the difference in the amount of plastic deformation affects the material of the rolled material, it must be taken into account.
  • Figure 4 shows the specific configuration of the process information supplement function 6.
  • the process information complementing function 6 has a rolling model 15 and can give a detailed phenomenon of rolling and cooling by giving an appropriate input thereto. Since it is necessary to output the temperature and processing amount of the rolled material according to the progress of the rolled material, for example, the rolling model 15 is realized as a simulator 16 on a computer, and high-speed calculation is performed to perform rolling and cooling. The detailed state is calculated. At this time, for example, in the case of a temperature model, differential equations and differential equations as shown in equations (1) to (3) correspond to the rolling model 15.
  • a rolling model learning function 17 is provided as shown in FIG.
  • the model learning function 17 can also be realized by a publicly disclosed method. Next, the material prediction function 7 will be described in detail.
  • FIG. 5 shows the material model learning function 18 of the material prediction function 7.
  • the measurement of the material of the rolled material is most accurate by a manual test in a laboratory at the steelworks, and the material model 19 is learned with the material measured here as positive.
  • the material prediction model the material quality of the product is finally predicted, and numerical values such as tensile strength and ductility, which are quantitatively evaluated in the laboratory test, are also calculated. Modify model 19 parameters.
  • the input / output information force indicated by the sensor information of the rolling line 1 shown in the above two documents, as used in the past, is not suitable for the model that predicts the material. It is necessary to use a model that can express changes in materials by changing minute times.
  • the following document shows prediction calculations by the decomposition method with a low computer load.
  • the particle size, volume fraction, etc. of each phase of the metal material in each process can be obtained.
  • Each phase is a state of austenite, ferrite, pearlite, martensite, etc. in steel.
  • the particle size, volume fraction, etc. Based on this, it can be converted into numerical values such as tensile strength, ductility, etc. as material indicators and compared with those in actual laboratory tests.
  • Figures 6 and 7 show two modes of material control.
  • the rolling lines in Figs. 6 and 7 are: heating furnace 20, scale breaker 21, rough rolling mill 2 units (Rl) (R2) 22, 23, outlet thermometer 24, crop shear 25, scale breaker 26, finish rolling mill Examples of 7 units 27, run-out table 28, and take-up machine 1 unit 29 are shown.
  • Fig. 6 shows that in one rolled material, sensor information, etc. is collected in the upstream process, for example, the rough rolling process, with sensor information, etc., and detailed intermediate information of the rolling is calculated with the process information complementing function 6.
  • the material prediction function 7 the particle size, volume fraction, etc. are calculated, and this is used as input information to obtain the desired rolling material temperature, Find the target machining amount.
  • the setting control computer 3 recalculates or corrects the already calculated settings * control quantities.
  • FIG. 7 differs slightly from FIG. 6 in that the setting control of the rolled material to be rolled next is corrected using the post-rolling information 30 such as the delivery side thermometer and the thickness gauge 30.
  • the post-rolling information 30 such as the delivery side thermometer and the thickness gauge 30.
  • the configuration of the first embodiment of the present invention has been described.
  • the material prediction function can be executed based on the material model that represents the state change of the material and by the progress of rolling. Therefore, in order to improve the accuracy of the material model, the material information measured after rolling is used. It has a material model learning function that learns material models.
  • the rolling model information is used to learn the rolling model included in the process information supplement function to improve the accuracy of the rolling model. This can eliminate errors in the process intermediate information due to the rolling model, improve the accuracy of the process intermediate information, and improve the accuracy of material prediction and material control.
  • FIG. 8 is a block diagram showing a material prediction and material control device for a rolling line in Embodiment 2 of the present invention.
  • Example 1 Regardless of domestic and overseas, many steelworks have already been built and many hot rolling lines are in operation.
  • Example 1 shown in FIG. 1 the setting control computer 3, the host computer 2, a part of the rolling performance information collection function 5, and the material inspection system 4 are realized in most hot rolling lines 1.
  • part of the material prediction function 7 and part of the material control function 8 may be realized. Therefore, when the process information supplement function 6, the material prediction function 7 and the material control function 8 that use the process information are newly added as control devices for hot rolling lines, it may be difficult to add them to existing computer equipment. is there.
  • the process information supplement function 6 needs to perform many calculations, it may not be possible to execute it with existing computer equipment.
  • the process information complementing function 6 and the material prediction function 7 and the material control function 8 that use the process information complementing function 6 are different from the existing computer 31. Realized on the system 32 and realized an interface with the existing computer 31 to easily add new functions and expand facilities and functions without disturbing operations and existing functions It is.
  • the material prediction and material control device for a rolling line improves the prediction accuracy of the material model and controls the material with high accuracy by simulating the process change process and supplementing the information. can do.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Metal Rolling (AREA)

Abstract

Appareil de contrôle de matériaux et de prévision de matériaux pour ligne de laminage pour contrôler les matériaux avec une précision élevée en ayant une fonction permettant de simuler le cours de variation d'un procédé et de compléter les informations pour améliorer la précision de prévision d'un modèle de matériau. L'appareil comprend une fonction de collecte d'informations relatives au laminage pour collecter les informations relatives au laminage, obtenues par un capteur pour mesurer l'état d'une ligne de laminage à chaud et l'état d'une feuille d'acier laminée, et par le contrôleur pour contrôler la ligne de laminage à chaud. L'appareil comprend également une fonction de complément concernant les informations relatives au procédé pour prévoir les informations intermédiaires relatives au procédé représentant l'état intermédiaire de la ligne de laminage ne pouvant être collectées comme des informations relatives au laminage sur la base des informations relatives au laminage, des informations fixes telles que les dimensions de la machine, et des informations cibles telles que celles concernant l'épaisseur et la largeur de la feuille d'acier laminé. L'appareil comprend en outre une fonction de prévision des matériaux pour prévoir les matériaux de la feuille d'acier laminée en synchronisme avec la progression des informations relatives au laminage et des informations intermédiaires relatives au procédé sur la base des informations relatives au laminage et des informations intermédiaires relatives au procédé, et une fonction de contrôle des matériaux pour effectuer un contrôle de sorte que le matériau prévu soit conforme au matériau cible.
PCT/JP2006/314801 2006-07-26 2006-07-26 Appareil de contrôle de matériaux et de prévision de matériaux pour ligne de laminage WO2008012881A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
PCT/JP2006/314801 WO2008012881A1 (fr) 2006-07-26 2006-07-26 Appareil de contrôle de matériaux et de prévision de matériaux pour ligne de laminage
CN200680001083A CN100577315C (zh) 2006-07-26 2006-07-26 轧制线的材质预测及材质控制装置
JP2007512360A JP5003483B2 (ja) 2006-07-26 2006-07-26 圧延ラインの材質予測および材質制御装置
TW095134722A TWI312069B (en) 2006-07-26 2006-09-20 Rolling line material quality prediction and control apparatus

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PCT/JP2006/314801 WO2008012881A1 (fr) 2006-07-26 2006-07-26 Appareil de contrôle de matériaux et de prévision de matériaux pour ligne de laminage

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TW (1) TWI312069B (fr)
WO (1) WO2008012881A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010172962A (ja) * 2009-02-02 2010-08-12 Toshiba Mitsubishi-Electric Industrial System Corp 圧延製品の特性予測方法
CN102814340A (zh) * 2011-06-08 2012-12-12 鞍钢股份有限公司 热轧带钢宽度控制模型智能学习系统及计算学习方法
JP2014133246A (ja) * 2013-01-10 2014-07-24 Toshiba Mitsubishi-Electric Industrial System Corp 設定値計算装置、設定値計算方法、及び設定値計算プログラム
WO2016038705A1 (fr) * 2014-09-10 2016-03-17 東芝三菱電機産業システム株式会社 Dispositif de simulation de laminage
TWI798047B (zh) * 2022-04-08 2023-04-01 中國鋼鐵股份有限公司 鋼板軋延力預測方法與軋延系統

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JP5666338B2 (ja) * 2011-02-18 2015-02-12 東芝三菱電機産業システム株式会社 エネルギー消費量予測装置
JP5616817B2 (ja) * 2011-02-18 2014-10-29 東芝三菱電機産業システム株式会社 熱間圧延ラインの制御装置
CN103752621B (zh) * 2014-01-09 2016-06-01 鞍钢股份有限公司 一种热轧线紧急改规格物料自动互换转用的方法
JP6487786B2 (ja) * 2015-06-16 2019-03-20 株式会社日立製作所 熱間圧延鋼板の材質管理システムおよびその方法
JP7027536B2 (ja) * 2019-01-15 2022-03-01 Ｊｆｅスチール株式会社 解析システム及び解析方法
DE102020206114A1 (de) 2020-05-14 2021-11-18 Sms Group Gmbh System und Verfahren zur Steuerung einer aus mehreren Anlagenteilen bestehenden Produktionsanlage, insbesondere einer Produktionsanlage zur Erzeugung von Industriegütern wie metallischem Halbzeug
TWI792240B (zh) * 2021-03-24 2023-02-11 中國鋼鐵股份有限公司 用於軋延製程的控制參數的調整方法

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JPS62158816A (ja) * 1985-12-28 1987-07-14 Nippon Steel Corp 熱間圧延鋼材の製造方法
JP2001025805A (ja) * 1999-07-13 2001-01-30 Kobe Steel Ltd 圧延シミュレーション装置，及び圧延シミュレーションプログラムを記録したコンピュータ読み取り可能な記録媒体

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JPS62158816A (ja) * 1985-12-28 1987-07-14 Nippon Steel Corp 熱間圧延鋼材の製造方法
JP2001025805A (ja) * 1999-07-13 2001-01-30 Kobe Steel Ltd 圧延シミュレーション装置，及び圧延シミュレーションプログラムを記録したコンピュータ読み取り可能な記録媒体

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010172962A (ja) * 2009-02-02 2010-08-12 Toshiba Mitsubishi-Electric Industrial System Corp 圧延製品の特性予測方法
CN102814340A (zh) * 2011-06-08 2012-12-12 鞍钢股份有限公司 热轧带钢宽度控制模型智能学习系统及计算学习方法
JP2014133246A (ja) * 2013-01-10 2014-07-24 Toshiba Mitsubishi-Electric Industrial System Corp 設定値計算装置、設定値計算方法、及び設定値計算プログラム
WO2016038705A1 (fr) * 2014-09-10 2016-03-17 東芝三菱電機産業システム株式会社 Dispositif de simulation de laminage
JPWO2016038705A1 (ja) * 2014-09-10 2017-06-15 東芝三菱電機産業システム株式会社 圧延シミュレーション装置
TWI798047B (zh) * 2022-04-08 2023-04-01 中國鋼鐵股份有限公司 鋼板軋延力預測方法與軋延系統

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JP5003483B2 (ja) 2012-08-15
TW200806984A (en) 2008-02-01
CN100577315C (zh) 2010-01-06
JPWO2008012881A1 (ja) 2009-12-17
CN101253005A (zh) 2008-08-27
TWI312069B (en) 2009-07-11

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