[go: up one dir, main page]

WO2008000845A1 - Procédé et système d'optimisation de laminage d'acier - Google Patents

Procédé et système d'optimisation de laminage d'acier Download PDF

Info

Publication number
WO2008000845A1
WO2008000845A1 PCT/ES2006/000359 ES2006000359W WO2008000845A1 WO 2008000845 A1 WO2008000845 A1 WO 2008000845A1 ES 2006000359 W ES2006000359 W ES 2006000359W WO 2008000845 A1 WO2008000845 A1 WO 2008000845A1
Authority
WO
WIPO (PCT)
Prior art keywords
steel
stage
rolling
parameters
module
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/ES2006/000359
Other languages
English (en)
Spanish (es)
Inventor
Aitor Herrera Celaya
Ana Carrillo Fernandez
Jose Ignacio Barbero Arribas
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fundacion Tecnalia Research and Innovation
Original Assignee
Fundacion Labein
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 Fundacion Labein filed Critical Fundacion Labein
Priority to PCT/ES2006/000359 priority Critical patent/WO2008000845A1/fr
Publication of WO2008000845A1 publication Critical patent/WO2008000845A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/026—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system using a predictor
    • 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
    • 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
    • C21D8/00—Modifying the physical properties by deformation combined with, or followed by, heat treatment
    • C21D8/02—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips

Definitions

  • the present invention relates to a method and system of optimization of steel rolling processes that has application in the steel industry, and more specifically in the field of forming steel sheets, allowing automatic analysis of process variables for select a specific configuration of a rolling mill, prior to the execution of the rolling process, which allows to obtain certain characteristics and properties of the final product, previously selected, avoiding the need for subsequent thermal treatments, with the consequent reduction in production costs.
  • the purpose of steel rolling processes is to achieve a reduction in the thickness or edge of a steel sheet until required dimensions are achieved, which is carried out by means of operations comprising subjecting the sheet to successive mechanical deformations.
  • the main objective in the processes of lamination is to achieve the greatest precision in the geometry, dimensions and shape of the final product, minimizing inconveniences such as the existence of defects in the sheets or the wear suffered by the equipment and the tooling that intervenes in the process.
  • the objective referred to in the previous paragraph does not contemplate the influence that other aspects have on the rolling process, such as the successive microstructural transformations that take place during the process and that occur as a result of deformation and thermal variations to which the sheets are subjected.
  • thermomechanical control of the rolling process that is, towards obtaining certain characteristics and mechanical properties, taking care not only of the thermal component of the process but also of the influence that the mechanical component has on it.
  • a control is made of the thickness reductions that are imposed on the sheet during each pass through the rolling rollers, that is to say in each box, obtaining a more refined microstructure, which results in an improvement of the mechanical properties of the final product.
  • Some of these methods allow obtaining an optimal value for a single parameter or a single variable without considering the rest, there being no method that takes into account the evolution of the microstructure of steel during the rolling process, which is a fundamental aspect that determines the properties of the product finally obtained, as explained above.
  • U.S. Patent No. US 2005267612 refers to a mathematical model for a metallurgical plant, and a method for optimizing the operation of said plant, which optimizes the operation of a metallurgical plant from the point of view of energy consumption, times and costs, but does not consider the mechanical properties of the final product.
  • Chinese Patent No. CN 1556487 refers to a method of hierarchical and planned coordination of steel production, presenting a method of production control and planning based on operation signals collected on the production line, without having predictive models or considering the properties mechanics of the final product.
  • Chinese Patent No. CN 1589986 refers to a method for the optimization and automatic control of technical parameters of a sheet mill, defining an automatic control system that records operational data in the production line for the optimization of the forces of the rolling rollers, not having thermomechanical or mycostructural predictive models, and not taking into account, like the previous patents, the mechanical properties of the product finally obtained.
  • the Russian patent No. 0 . RU 2263552 refers to a calibration method of a continuous rolling plant, in which certain operating parameters are recorded, such as the size of the laminated material or the speed regimes of the rolling rollers, so that depending on these registered parameters, these are predicted for the following laminations in order to minimize the electrical consumption of the installation, without having thermomechanical, microstructural predictive models neither tension, nor having as its object the optimization of the mechanical properties of rolled steel.
  • the possibility of predicting the behavior and properties of steel during rolling processes is especially interesting, taking into account the microstructural evolution of steel, through its modeling, especially in view of the wide variety of microalloyed steels currently available, They are used in many different applications specialized in different industrial fields.
  • the present invention relates to a method and system for optimizing steel rolling processes, which allows to automatically analyze, prior to performing the rolling process, ranges of process variables to select an optimal train configuration of lamination in order to obtain a final product with certain characteristics and properties, which have been previously selected, in accordance with the industrial application of the final product, without the need for subsequent heat treatments to obtain said characteristics.
  • the method and the system that the invention proposes allow to obtain optimum values for process variables that intervene and influence the properties of the steel obtained during the rolling process, while contemplating a series of restrictions, so that it achieves a steel with the required characteristics, notably optimizing production, reducing costs, allowing to dispense with heat treatments after the rolling process, obtaining a final product with characteristics and properties determined prior to the rolling process or final forming of the steel, taking into account from the heat treatment prior to rolling, for example in a reheating furnace, until cooling after rolling .
  • the method and system of the invention allow, in the first place, a precise control of the dimensions of the sheets obtained, as well as their geometry, achieving perfectly flat sheets.
  • the method and system of the invention make it possible to reduce the number of alloying elements, as well as the proportion thereof in the ferrous alloy, required to obtain a steel with certain mechanical properties, thereby reducing Production costs
  • the method of the invention can be applied to any type of sheet steel section, such as slab, round or billet.
  • the system of the invention is configured to automatically analyze plant parameters, steel parameters and process variables involved in the rolling process, and influence the characteristics and properties of the final product, analyzing values or ranges of values than said and process variables.
  • the optimization method allows obtaining optimal values for all process variables at the same time, in order to obtain a rolled steel with certain characteristics and properties, taking into account, in addition to the thermal evolution experienced by the steel during the process of rolling, the changes that occur in the microstructure of steel.
  • the optimization system for steel rolling processes that the invention proposes comprises:
  • an optimization module configured to relate the different process variables to obtain optimum values of said process variables, so that having the process variables said optimum values, a steel is obtained with at least a certain characteristics, and it may be necessary to obtain a steel with more than one specific characteristic, said characteristics constituting to obtain objective functions.
  • the optimization module is configured to use any mathematical function or optimization algorithm, whose objective is to evaluate some variables that minimize at least one objective function, as required, such as for example SQP-Sequential Quadratic Programming algorithms, line, genetic or a cost function
  • the optimization module is configured to be implemented as a program, or software tool, in a mathematical calculation device or a computer, which manages the definition and solution of general optimization problems, that is, those in which the objective is to find certain values of some variables in order to minimize at least one function that needs to be optimized, that is to say at least one objective function.
  • the optimization module can work in two ways. In the first place, the optimization module is configured to operate from initial values of the process variables, with an initial point being defined in advance from which the optimization module will obtain optimum values of said process variables.
  • the optimization module can work to design experiments.
  • a series of experiments are defined for the evaluation of the simulations taking into account different values of certain data, such as the reductions in each rolling box.
  • the data can be analyzed by a user to study the experiment that best approximates the target value. From this experiment, an optimization is performed as described in the previous paragraph, which is already very close to the optimal value sought. This way of operation allows an approximation to the optimal solution and a faster calculation than in the first mode of the optimal values.
  • the optimization module takes into account the restrictions that exist or are imposed for the process variables and the objective functions.
  • the analyzer module comprises two types of restrictions, for consideration:
  • process restrictions are the restrictions that have the process variables determined by the limits that the rolling plant has, according to its characteristics, such as for example rolling forces, winding temperatures, maximum thickness reduction in the different passes or Maximum and minimum limit input speed.
  • the process variables are defined in a range of variation through the process restrictions, to ensure that the operational operating limits of the installation are not exceeded, which is extremely important to ensure the integrity of the equipment, such as boxes lamination, and
  • the system reduces the operating time of the method and the solutions are filtered so that obtaining an optimal result is achieved before; finally the system comprises
  • a predictive module which in turn comprises different integrated modules that represent different processes that take place together in the lamination process.
  • the deformation of the hot material produces a series of phenomena of thickness reduction, or section, of the product, which have an associated heat generation, which is produced by the friction that occurs between the surface and volumetric heat generation due to deformation, while at the contact with the rollers there is a conduction heat evacuation.
  • some stresses are generated and in the rolled product creep stresses that directly influence the microstructure of the steel.
  • Other parameters that also directly influence the mechanical properties of the final product are the existence of cracks or pores.
  • the predictive module is configured to consider three models of steel behavior during the rolling process, and is configured to calculate the mechanical properties of the final product at from the plant parameters and the steel parameters, for which it includes:
  • thermomechanical module that collects the thermal and mechanical behavior of steel, which includes a theoretical evolution of the temperature and deformation to which the steel is subjected during the rolling process.
  • the thermomechanical module comprises two submodules, each of which is configured to perform a different calculation that is then automatically integrated, a thermal submodule and a deformation submodule, which work as follows.
  • the thermal submodule is configured to calculate, mathematically, a heat conduction in an analytical mesh that characterizes the material to be laminated.
  • the heat transfer inside the piece and between it and the surrounding environment is analyzed, as well as the generation of heat due to the deformations suffered by the piece, such as due to contact with the rollers or friction, for which it is required it takes into account the variation in the thickness of the piece during the rolling process, which is configured to calculate the deformation submodule, according to a deformation rate.
  • the deformation submodule to from the deformation that has been imposed on the sheet, a deformation speed and a speed of the mesh nodes defined above, is configured
  • a tension module that is configured
  • the tension module is configured to calculate and obtain force values of the rollers, determining the rolling forces, a number of necessary pairs of rollers, flatness values at the exit
  • microstructural module that includes a theoretical evolution of the microstructure of the
  • the microstructural module is configured to calculate a microstructural history
  • the microstructural module is configured to record, in the event that it has been required, a growth of a layer of oxide on the sheet material, also called scale, as well as its subsequent elimination in each of the stages.
  • the predictive module is configured to calculate values of the mechanical properties of the final product, such as the elastic modulus, creep stress or elongation, also obtaining another series of results, such as for example thermal and mechanical data, data of rolling forces and torques, flatness and geometric shape of the sheet, as well as data of the microstructure of the piece, such as grain sizes, present or precipitated phases.
  • the predictive module is configured to be implemented as a program, or software tool, in a mathematical calculation device or a computer.
  • the optimization module is configured to define some cases to be analyzed in the predictive module, which is configured to evaluate them based on the constraints included in the analyzer module, said predictive module being configured to rule out cases in which these are not met. restrictions
  • the optimization module is configured to decide the evaluation of new cases until an optimum is achieved.
  • the system of the invention is configured to calculate and arrange, by means of its storage and sample as required, not only results related to the mechanical properties of the laminated material, but also results of intermediate processes, the results obtained being classified into four groups:
  • the system is
  • the system is configured to record the change in size and percentage of phases present in the material.
  • the method of optimizing steel rolling processes comprises the following steps:
  • a stage A which comprises having, obtaining or compiling, some plant parameters whose values are fixed and are determined by technical characteristics of a rolling plant in which the process to be optimized is carried out.
  • the previously defined system can be configured to acquire or collect plant parameters automatically.
  • the plant parameters are classified into three groups:
  • rolling mill parameters for each rolling box the diameter of its rollers, the materials of said rolling mills are available rollers, thickness reduction, positions and distances between boxes, secondary refrigeration arrangement or not,
  • Parameters of thermal processes that is to say a cooling table, during the rolling process, with data relative to flow rates of nozzles comprising each section of the cooling table, allowing the deactivation of sections, flow rates of cooling fluids, positions of the cooling systems inside or outside the train as well as active lengths, characteristics of the cooling fluids such as temperature and composition, position of the furnace, tunnel or equivalent, and temperatures at the exit of the system.
  • Initial and final operating parameters of the product with a steel temperature, initial thickness and target thickness, initial speed at the entrance of the system and temperature at the entrance of the system.
  • the method comprises a step B, which in turn comprises having, obtaining or collecting manually or by means of computer supports, some parameters of the steel to be laminated, which define it, whose values are fixed and are determined by the chemical composition of the steel and therefore related to its properties.
  • the steel parameters comprise other parameters that characterize the steel at different temperatures, such as parameters that define the mechanical behavior of the steel as a function of temperature, such as specific heat, density, modulus of Young's elasticity or modulus and the conductivity of steel.
  • the plant parameters and the steel parameters define the lamination process to be optimized.
  • the method comprises a stage C, which in turn comprises determining, or selecting, certain values, theoretical or arbitrary, for process variables, which in the case of adopting different values different steel characteristics are obtained after the process of lamination.
  • the method of the invention allows obtaining an optimal value for each process variable, according to conditions related to the properties of the steel that are to be obtained after the rolling process, which is the one applied in the execution of the rolling process .
  • the process variables are variables that the The method of the invention is configured to optimize, according to an objective function, that is, to obtain a type of steel to be obtained with certain properties.
  • the method comprises the following process variables:
  • Temperature at the outlet of the reheating furnace it can also be temperature at the inlet of the laminator.
  • Thickness reductions to be applied at each stage, or box, of rolling.
  • Cooling after the lamination process having the type, such as air cooling or cooling through cooling tunnel.
  • the method comprises a step D, which comprises determining, or selecting, at least one objective function, or weighting function, that is required to be optimized, and for which the method is configured to find the optimal values of the process variables.
  • the objective functions represent some characteristics of the rolling process, as well as the characteristics of the steel, which allow the system to be optimized, in view of a particular installation, that is, once the plant parameters are available, in stage A, depending on the characteristics installation techniques, and the parameters of the steel, in stage B, the objective functions that are to be achieved in the final product are selected, depending on the needs of the production, in view of the resources available for its production.
  • the method and the system are configured to allow the determination of a single objective function to optimize, or several at the same time, to obtain certain optimal values for the process variables. These optimal values will be used later for the execution of the rolling process.
  • the objective functions are characteristics and properties of the steel to be obtained that are determined or selected as the objective, and for which the method optimizes the values that the process variables must have.
  • the objective functions included in the method are:
  • an oxide layer also called a scale
  • generation of an oxide layer during the heat treatment process prior to lamination, which can be carried out in a tunnel oven, a furnace or equivalent.
  • Geometry of the final product that is, the shape characteristics such as flatness or deviations from the axis.
  • the method comprises a stage E which in turn comprises determining, or arranging, restrictions that exist or are imposed arbitrarily, both for the process variables and for the objective functions.
  • the optimization module is configured to consider the restrictions through the analyzer module.
  • the method comprises a step F, comprising entering, supplying or entering, the plant parameters, the steel parameters, the process variables and the objective functions in a mathematical calculation device, or a support such as a computer, which Understand the optimization module.
  • the method comprises a step F ', in which the optimization module is configured to calculate optimum values of the process variables.
  • This stage includes analyzing, by the optimization module, according to the objective functions determined in stage D, a lamination process configuration that best meets the defined objectives, by means of a calculation algorithm that manages to obtain values of the process variables that allow to obtain a final product that meets the conditions set, selected, through the objective functions to optimize.
  • the method comprises a stage G, which comprises entering, supplying or entering, the plant parameters of stage A, the steel parameters of stage B and the optimum values obtained in stage F 'in a mathematical calculation device , or a support such as a computer, comprising the predictive module, defined above in the system of the invention.
  • the method comprises a stage G ', in which the predictive module is configured to perform a calculation considering the three steel behavior modules, which as explained above are a thermomechanical module, a microstructural module and a module tensional, and provides as a result theoretical data of the objective functions, that is, theoretical objective functions.
  • the predictive module is configured to perform a calculation considering the three steel behavior modules, which as explained above are a thermomechanical module, a microstructural module and a module tensional, and provides as a result theoretical data of the objective functions, that is, theoretical objective functions.
  • the predictive module is configured to simulate the rolling process and Obtain theoretical results of the objective functions, that is, it is configured to obtain results of the combinations of steel parameters, plant parameters and the optimum values of the process variables.
  • the method of the invention is configured to simulate the rolling process and check the characteristics and properties of the laminated material obtained, in view of a combination of process parameters and variables, all without the need to test and execute in the reality in the process of lamination, with the consequent wear of the installation and loss of material, which is necessary to test to finally obtain the required results.
  • the method of the invention may comprise a stage G '', which comprises entering, introducing or supplying the theoretical objective functions obtained in G ', again in the optimization module, that is to say repeating stage F and stage F', being configured to obtain optimum seconds of the process variables.
  • This serves to check if the second optimal values coincide with the optimal values that were initially obtained after step F, verifying whether the optimal values were valid for the objective functions. Otherwise, that is, if it does not match, the optimization module is configured to calculate optimal third values of the process variables that are subsequently performed again in stage G and stage G ', are analyzed by the predictive module, repeating itself This process, stages FG ', iterative until the optimization module achieves optimal values for the process variables.
  • the process described in the previous paragraph is an iterative process, through which different values for the objective functions are obtained, so that after several iterations, a curve is obtained that represents the values of the objective functions and selects those in the which are maximum or minimum as required.
  • the method comprises a stage H, which comprises having the optimum values of the process variables, obtained in the stages described above, for application in the execution of the steel rolling process.
  • the method and system of optimization of steel rolling processes that the invention proposes constitutes an advance in the optimization methods used up to now, and solves in a fully satisfactory and simple manner the problem set forth above. , in the line of allowing a complete simulation of the rolling process, as well as the prediction of optimal values of some process variables, in order to optimize objective functions, that is to say characteristics and properties of the steel obtained, with the consequent saving in the cost of production, as well as advantages in the investigation of new steels. DESCRIPTION OF THE DRAWINGS
  • Figure 1 shows a scheme of the optimization system of steel rolling processes that the invention proposes.
  • Figure 2. Shows a perspective view of a steel rolling plant, in which a plurality of rolling boxes can be seen.
  • Figure 3 shows a phase diagram of the steel, in which the phase change from austenite (Y) to ferrite ( ⁇ ) can be seen, depending on the temperature and the percentage of carbon present in the alloy.
  • Figure 4.- Shows a flow chart of the steps comprising the method of optimization of steel rolling processes of the invention.
  • the system for optimizing steel rolling processes comprises: - an optimization module, configured to calculate optimal values of process variables from plant parameters, steel parameters, process variables, restrictions and objective functions, which include characteristics and properties of steel to be obtained after the rolling process, in which the plant parameters are fixed values and are determined by technical characteristics of a rolling plant in which the process to be optimized is carried out, comprising:
  • the system can be configured to acquire or collect plant parameters automatically.
  • the parameters of the steel to be rolled comprise fixed values and are determined by the chemical composition of the steel and parameters that characterize the behavior of the steel at different temperatures, as well as the behavior of the microstructure as a function of temperature.
  • the process variables also include:
  • Temperature at the outlet of the reheating furnace can also be Laminator inlet temperature. - Thickness reductions to be applied at each lamination stage.
  • the objective functions which include characteristics and properties of the steel to be obtained after the rolling process, include:
  • the optimization module is configured to use any mathematical function or optimization algorithm, whose objective is to evaluate some variables that minimize at least one objective function, as required, such as for example SQP-Sequential algorithms
  • the optimization module is configured to be implemented as a program, or software tool, in a mathematical calculation device or a computer.
  • the optimization module can work in two ways. First, the optimization module is configured to operate from initial values of the process variables from which the optimization module will obtain optimum values of said process variables.
  • the optimization module can work to design experiments.
  • a series of experiments are defined for the evaluation of the simulations taking into account different values of certain data, such as the reductions in each rolling box.
  • the data can be analyzed by a user to study the experiment that best approximates the target value. From this experiment, an optimization is performed as described in the previous paragraph, which is already very close to the optimal value sought. This way of operation allows an approximation to the optimal solution and a faster calculation than in the first mode of the optimal values.
  • system of the invention comprises:
  • an analyzer module configured to consider lamination process restrictions, which are limitations for obtaining the optimum values of the process variables that maximize or minimize an objective function.
  • the analyzer module comprises two types of restrictions: process restrictions, are the restrictions that have the process variables determined by the limits that the rolling plant has, and objective restrictions, are the restrictions for each objective function.
  • system of the invention comprises:
  • a predictive module configured to consider three models of steel behavior during the rolling process, and configured to calculate the mechanical properties of the final product from the plant parameters and the steel parameters, for which it comprises:
  • thermomechanical module that collects the thermal and mechanical behavior of steel, which comprises a thermal submodule and a deformation submodule, configured to calculate a heat conduction in an analytical mesh that characterizes the material to be laminated and to calculate a deformation velocity and a velocity of the mesh nodes defined above, is configured to calculate a heat generation in the sheet, with the combined calculation of both thermal and deformation submodules a thermal history of the sheet under analysis is obtained, a tension module that is configured to calculate stresses to which the steel sheet is subjected as well as train roller forces of rolling, and a microstructural module comprising a theoretical evolution of the microstructure of steel during the rolling process.
  • the predictive module is configured to be implemented as a program, or software tool, in a mathematical calculation device or a computer.
  • the system of the invention is configured to calculate and arrange, by means of its storage and sample as required, not only results related to the mechanical properties of the laminated material, but also results of intermediate processes, the results obtained being classified into four groups:
  • Configuration results which are the process variables and define the optimal configuration, are also the values of the objective functions.
  • thermomechanical results of the thermomechanical history of the material Thermomechanical results of the thermomechanical history of the material.
  • a second aspect of the invention relates to a method of optimizing steel rolling processes, which comprises the system above. defined, and which, as can be seen in Figure 4, comprises the following stages:
  • stage A that includes having, obtaining or compiling some plant parameters.
  • stage B comprising arranging, obtaining or collecting manually or by means of computer supports, some parameters of the steel to be rolled.
  • a stage C which comprises determining, or selecting, certain values, theoretical or arbitrary, for process variables.
  • stage D which comprises determining, or selecting, at least one objective function, or weighting function, that is required to optimize, and for which the method is configured to find the optimal values of the process variables.
  • stage E which in turn comprises determining, or arranging, restrictions that exist or are imposed arbitrarily, both for process variables and for objective functions.
  • stage F comprising entering, supplying or entering, the plant parameters, the steel parameters, the process variables and the objective functions in a mathematical calculation device, or a support such as a computer, comprising the module of optimization
  • a stage F ' in which the optimization module is configured to calculate optimum values of the process variables.
  • This stage includes analyze, by the optimization module, according to the objective functions determined in stage D, a configuration of the lamination process that best meets the defined objectives, by means of a calculation algorithm that manages to obtain values of the process variables that allow to obtain a final product that meets the conditions set, selected, through the objective functions to optimize.
  • stage G comprising entering, supplying or entering, the plant parameters of stage A, the steel parameters of stage B and the optimal values obtained in stage F 'in a mathematical calculation device, or a support as a computer, comprising the predictive module, defined above in the system of the invention.
  • the predictive module is configured to perform a calculation considering the three steel behavior modules, which as explained above are a thermomechanical module, a microstructural module and a tension module, and provides as Theoretical data of the objective functions, that is, theoretical objective functions.
  • the method of the invention may comprise a stage G '', comprising entering, introducing or supplying the theoretical objective functions obtained in G ', again in the optimization module, that is to say repeating stage F and stage F', being configured to obtain optimum seconds of the process variables.
  • stage H which It comprises having the optimum values of the process variables, obtained in the stages described above, for application in the execution of the steel rolling process.

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Organic Chemistry (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Mechanical Engineering (AREA)
  • Materials Engineering (AREA)
  • Metallurgy (AREA)
  • Thermal Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Metal Rolling (AREA)

Abstract

Un procédé et un système d'optimation du laminage d'acier à application dans l'industrie sidérurgique, qui permettent d'analyser automatiquement les variables de processus afin de sélectionner une configuration déterminée d'un train de laminage avant l'exécution du laminage assurant des caractéristiques et propriétés spécifiques pour le produit final, préalablement sélectionnées, en vue d'éviter de recourir à des traitements thermiques ultérieurs, avec pour effet une réduction des coûts de production.
PCT/ES2006/000359 2006-06-19 2006-06-19 Procédé et système d'optimisation de laminage d'acier Ceased WO2008000845A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/ES2006/000359 WO2008000845A1 (fr) 2006-06-19 2006-06-19 Procédé et système d'optimisation de laminage d'acier

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/ES2006/000359 WO2008000845A1 (fr) 2006-06-19 2006-06-19 Procédé et système d'optimisation de laminage d'acier

Publications (1)

Publication Number Publication Date
WO2008000845A1 true WO2008000845A1 (fr) 2008-01-03

Family

ID=38845149

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/ES2006/000359 Ceased WO2008000845A1 (fr) 2006-06-19 2006-06-19 Procédé et système d'optimisation de laminage d'acier

Country Status (1)

Country Link
WO (1) WO2008000845A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102069094A (zh) * 2010-11-16 2011-05-25 北京首钢自动化信息技术有限公司 一种基于数据挖掘的板形控制关键工艺参数优化系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5778151A (en) * 1993-05-17 1998-07-07 Siemens Aktiengesellschaft Method and control device for controlling a material-processing process
US6233500B1 (en) * 1997-06-19 2001-05-15 The United States Of America As Represented By The Secretary Of The Air Force Optimization and control of microstructure development during hot metal working
US6430461B1 (en) * 1996-10-30 2002-08-06 Voest-Alpine Industrieanlagenbau Gmbh Process for monitoring and controlling the quality of rolled products from hot-rolling processes
US6546310B1 (en) * 1997-11-10 2003-04-08 Siemens Aktiengesellschaft Process and device for controlling a metallurgical plant

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5778151A (en) * 1993-05-17 1998-07-07 Siemens Aktiengesellschaft Method and control device for controlling a material-processing process
US6430461B1 (en) * 1996-10-30 2002-08-06 Voest-Alpine Industrieanlagenbau Gmbh Process for monitoring and controlling the quality of rolled products from hot-rolling processes
US6233500B1 (en) * 1997-06-19 2001-05-15 The United States Of America As Represented By The Secretary Of The Air Force Optimization and control of microstructure development during hot metal working
US6546310B1 (en) * 1997-11-10 2003-04-08 Siemens Aktiengesellschaft Process and device for controlling a metallurgical plant

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102069094A (zh) * 2010-11-16 2011-05-25 北京首钢自动化信息技术有限公司 一种基于数据挖掘的板形控制关键工艺参数优化系统

Similar Documents

Publication Publication Date Title
Zhao Understanding and design of metallic alloys guided by phase-field simulations
Kar et al. Quantitative microstructural characterization of a near beta Ti alloy, Ti-5553 under different processing conditions
Edgar et al. Smart manufacturing and energy systems
Zhang et al. Recent progress in the simulation of microstructure evolution in titanium alloys
Chen et al. Modeling the dynamic recrystallization in austenitic stainless steel using cellular automaton method
Sellars et al. Microstructural modelling of aluminium alloys during thermomechanical processing
CN104915518B (zh) 一种高炉铁水硅含量二维预报模型的构建方法及应用
CN107121992A (zh) 一种基于热加工图的筒形件热强旋形/性一体化控制方法
ES2779313T3 (es) Método y sistema para proporcionar resultados de analítica de datos
Lin et al. Study of microstructural evolution during static recrystallization in a low alloy steel
Cui et al. Machine learning model for thickness evolution of oxide scale during hot strip rolling of steels
Yang et al. Application of machine learning to assess the influence of microstructure on twin nucleation in Mg alloys
Yang et al. Mechanism of twist in incremental sheet forming of thermoplastic polymer
Naumov et al. Novel physical simulation technique development for multistage metal plastic deformation processing
Thakur et al. Application of machine learning methods for the prediction of roll force and torque during plate rolling of micro-alloyed steel
Izadpanah et al. One step forward to electrically assisted forming mechanisms and computer simulation: A review
Malitckii et al. Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network
Jo et al. Modeling and simulation of steel rolling with microstructure evolution: an overview
Wang et al. A novel strategy based on machine learning of selective cooling control of work roll for improvement of cold rolled strip flatness
CN112053748A (zh) 一种奥氏体化组织演变的双尺度元胞自动机模型模拟方法
Buonomano et al. Energy efficiency and indoor thermal comfort of railway carriages: Development of an innovative passenger-centric-control framework for HVAC systems
WO2008000845A1 (fr) Procédé et système d'optimisation de laminage d'acier
Gondo et al. Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning
Zhong et al. Prediction of energy consumption in horizontal roughing process of hot rolling strip based on TDADE algorithm
Wu et al. Coupling a cellular automaton model with a finite element model for simulating deformation and recrystallization of a low-carbon micro-alloyed steel during hot compression

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 06794034

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

NENP Non-entry into the national phase

Ref country code: RU

122 Ep: pct application non-entry in european phase

Ref document number: 06794034

Country of ref document: EP

Kind code of ref document: A1