CN109299541B - Strip steel withdrawal and straightening processing method and device - Google Patents
Strip steel withdrawal and straightening processing method and device Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 36
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- 239000002253 acid Substances 0.000 description 1
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Abstract
The invention relates to the technical field of steel rolling, in particular to a method and a device for stretching and straightening strip steel, wherein the method comprises the following steps: based on the coupling relation between the tension and the elongation of the tension, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, a mathematical model of the tension is established, based on the tension parameter data in n groups of actual production, a tension parameter matrix is established, based on the tension parameter matrix, the mathematical model of the tension is optimized to obtain an optimized mathematical model of the tension, finally, based on the optimized mathematical model, the strip steel in the cold rolling zinc plating tension process is subjected to tension treatment, and further, based on theory, the actual operation experience is combined to obtain a tension model with higher accuracy, and the tension value is adopted to carry out tension treatment, so that the quality of a finished product is higher, thereby providing tension with higher accuracy, and avoiding the technical problem that different operators have differences when setting the tension value of the tension to cause the influence on the quality of the strip steel.
Description
Technical Field
The invention relates to the technical field of steel rolling, in particular to a method and a device for stretching and straightening strip steel.
Background
The zinc plating withdrawal and straightening process plays a key role in improving the mechanical property of the strip material, improving the shape quality of the product and the like, and by applying a certain withdrawal and straightening elongation to the strip material, the required performance of the finished strip material is achieved on the one hand, and the defects of wave shape and warping of the strip material before withdrawal and straightening can be eliminated, so that the purpose of improving the shape quality of the product is achieved.
Parameters affecting the withdrawal quality include the insertion amount of the straightening roller, the withdrawal elongation and the withdrawal tension, and the use modes of the withdrawal straightener include a tension mode and an elongation mode.
1) When the elongation mode is used, the elongation and the insertion amount determine the tension value of the tension leveler, the tension leveler is stabilized through automatic feedback control, and the tension leveler has a preset value, but when the preset value is larger than the actually required tension value, the tension adjustment process is overlong, the tension leveler has large fluctuation of the tension leveler, and the tension leveler effect is poor.
2) When the tension mode is used, the magnitude of the tension set value of the tension leveler directly determines the magnitude of the tension leveler extension value, so that the tension leveler extension value is critical to the shape and the performance of the final product.
At present, tension values of the tension leveler of the production line are set by experience of operators, and the difference between set values of different operators is large, so that the quality of the final finished product is greatly influenced.
Therefore, how to improve the quality of the finished product of the strip steel is a technical problem to be solved.
Disclosure of Invention
In view of the foregoing, the present invention has been made to provide a method and apparatus for straightening a strip steel that overcomes or at least partially solves the foregoing problems.
The embodiment of the invention provides a method for processing withdrawal and straightening of strip steel, which comprises the following steps:
based on the coupling relation between the tension and the elongation of the straightening, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, a mathematical model of the tension and the elongation is established:
wherein σ' F To calculate the tension of the withdrawal and correction, sigma S The yield strength of the strip, h is the thickness of the strip, epsilon is the withdrawal elongation, delta is the insertion amount of the straightening roller, and a 2 、a 3 Is the thickness influence coefficient; a, a 4 、a 5 、a 6 Is the yield strength influence coefficient; a, a 7 、a 8 、a 9 Is the coefficient of influence of the elongation of the withdrawal and straightening; a, a 10 、a 11 An influence coefficient for the insertion amount of the straightening roller; a, a 1 、a 12 Is the comprehensive influence coefficient;
based on n groups of withdrawal and straightening parameter data in actual production, establishing a withdrawal and straightening parameter matrix, wherein the withdrawal and straightening parameters comprise withdrawal and straightening tension, strip yield strength, strip thickness, withdrawal and straightening elongation and straightening roller insertion amount:
optimizing the mathematical model of the withdrawal and straightening tension based on the withdrawal and straightening parameter matrix, and obtaining the coefficient value of the mathematical model of the optimized tension leveler, and obtaining the mathematical model of the optimized tension leveler.
Preferably, the mathematical model of the tension leveler is established based on the coupling relation between the tension leveler tension and the elongation percentage of the tension leveler, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, and specifically comprises the following steps:
based on the fact that the tension and the yield strength and the tension and straightening elongation of the strip are in a quadratic function relationship, the tension and the straightening tension are in an exponential function relationship with the thickness h of the strip, the tension and the straightening roller insertion amount are in a linear function relationship, and a mathematical model of the tension and the straightening tension is built.
Preferably, n is in the range of [1500, 2500].
Preferably, the optimizing the mathematical model of the tension leveled by tension leveled based on the tension leveled parameter matrix, to obtain a value of a coefficient of the mathematical model of the tension leveled by optimization, specifically includes:
presetting an initial value for the value of a coefficient of a mathematical model of the tension of the withdrawal and straightening;
substituting the preset initial value and the withdrawal and straightening parameter matrix into a mathematical model of the withdrawal and straightening tension to obtain n groups of calculated withdrawal and straightening tension values;
calculating a tension value of the tension leveler and n groups of actual tension leveler based on the n groups, and obtaining a fitness result based on the preset initial value;
when the fitness result based on the preset initial value is smaller than a preset value, calculating the preset initial value by adopting a genetic algorithm to obtain a first-generation predictive coefficient value after iteration;
obtaining an fitness result based on the first coefficient value of the offspring, the parameter matrix S of the withdrawal and straightening tension mathematical model;
judging whether the fitness result based on the first coefficient value of offspring is larger than a preset value;
when the value is smaller than the preset value, continuing to iterate the first filial generation coefficient value by adopting a genetic algorithm, and obtaining the value of the coefficient of the mathematical model of the optimized tension of the withdrawal and straightening when the obtained fitness result of the Nth coefficient value is larger than the preset value.
Preferably, the calculation formula of the fitness result based on the preset initial value is as follows:
wherein sigma F Is the i-th group of actual withdrawal tension values in n groups of actual withdrawal tension values in actual production, sigma' F And calculating the tension value of the tension correction for the ith group in the tension value of the tension correction for the n groups.
The embodiment of the invention also provides a withdrawal and straightening unit for strip steel, which comprises:
the mathematical model building module of the tension leveler is used for building a mathematical model of the tension leveler based on the coupling relation between the tension leveler and the elongation of the tension leveler, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller respectively:
wherein σ' F To calculate the tension of the withdrawal and correction, sigma S The yield strength of the strip, h is the thickness of the strip, epsilon is the withdrawal elongation, delta is the insertion amount of the straightening roller, and a 2 、a 3 Is the thickness influence coefficient; a, a 4 、a 5 、a 6 Is the yield strength influence coefficient; a, a 7 、a 8 、a 9 Is the coefficient of influence of the elongation of the withdrawal and straightening; a, a 10 、a 11 An influence coefficient for the insertion amount of the straightening roller; a, a 1 、a 12 Is the comprehensive influence coefficient;
the tension leveler parameter matrix building module is used for building a tension leveler parameter matrix based on n groups of tension leveler parameter data in actual production, wherein the tension leveler parameters comprise tension leveler tension, strip yield strength, strip thickness, tension leveler elongation and straightener roll insertion quantity:
and the optimization module is used for optimizing the mathematical model of the tension leveled on the basis of the tension leveled parameter matrix, obtaining the coefficient value of the mathematical model of the tension leveled after optimization, and obtaining the mathematical model of the tension leveled after optimization.
Preferably, the mathematical model building module of the tension leveler is specifically configured to:
based on the quadratic function relation between the tension and the yield strength and the tension and the elongation of the strip, the tension and the thickness of the strip are in the exponential function relation, the tension and the insertion quantity of the straightening roller are in the quadratic function relation, and a mathematical model of the tension and the elongation is built.
Preferably, the optimizing module specifically includes:
an initial value presetting unit for presetting an initial value for the value of the coefficient of the mathematical model of the tension leveler;
the first obtaining unit is used for substituting the preset initial value and the withdrawal and straightening parameter matrix into the mathematical model of the withdrawal and straightening tension to obtain n groups of calculated withdrawal and straightening tension values;
the second obtaining unit is used for obtaining an adaptability result based on the preset initial value based on the n groups of calculated tension values of the tension and the n groups of actual tension values of the tension;
a third obtaining unit, configured to calculate the preset initial value by using a genetic algorithm when the fitness result based on the preset initial value is smaller than the preset value, so as to obtain a first-generation prediction coefficient value after iteration;
a fourth obtaining unit, configured to obtain an fitness result based on the first coefficient value of progeny, the parameter matrix S of withdrawal and the mathematical model of withdrawal and straightening tension;
a judging unit configured to judge whether an fitness result based on the first coefficient of offspring is greater than a preset value;
and a fifth obtaining unit, configured to, when the value is smaller than the preset value, continue iterating the first coefficient value by using a genetic algorithm until the obtained fitness result of the nth coefficient value is greater than the preset value, and obtain the value of the coefficient of the mathematical model of the optimized tension leveled tension.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and is characterized in that the processor realizes the steps of a model building method of the cold-rolling galvanization production line tension-straightening tension when executing the program.
One or more technical solutions in the embodiments of the present invention at least have the following technical effects or advantages:
the invention provides a method for processing the withdrawal and straightening of strip steel, which comprises the following steps: based on the coupling relation between the tension and the elongation of the tension, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, a mathematical model of the tension is established, based on the tension parameter data in n groups of actual production, a tension parameter matrix is established, the mathematical model of the tension is optimized based on the tension parameter matrix, the coefficient value of the mathematical model of the tension after optimization is obtained, finally, the strip steel in the cold rolling galvanization tension-straightening process is subjected to tension-straightening treatment based on the mathematical model after optimization, and further, the actual operation experience is combined on the basis of theory, the tension model with higher accuracy is obtained, so that the tension with higher accuracy is provided, the tension is obtained by adopting the mode to carry out tension-straightening treatment on the strip steel, the quality of a finished product is higher, and the technical problem that the influence on the quality of the strip steel caused by difference when different operators set the tension values of the tension is avoided.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also throughout the drawings, like reference numerals are used to designate like parts. In the drawings:
FIG. 1 is a schematic flow chart showing steps of a method for straightening and withdrawal of a strip steel according to an embodiment of the present invention;
FIG. 2 is a schematic diagram showing a change curve of an objective function value of a preset model in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a model building device for cold rolling galvanization production line withdrawal and straightening tension in an embodiment of the invention;
fig. 4 shows a block diagram of a computer device in an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In the cold rolling process, the raw materials are subjected to acid washing, cold rolling, degreasing, annealing, leveling, galvanization withdrawal straightening, oiling, packaging and inventory.
In the galvanization tension leveler, tension leveler is generally used for setting tension leveler tension of strip steel, and then the set tension leveler is used for leveling the strip steel, so that the strip steel is ensured to have certain tension leveler elongation, the tension leveler elongation is an important index for measuring the straightening capability of the strip steel of the tension leveler, and the reasonable matching of drawing efficiency and bending efficiency is important for improving the product quality.
A first embodiment of the present invention provides a method for straightening and withdrawal of a strip steel, as shown in FIG. 1, the method comprising: s101, establishing a mathematical model of the tension leveler based on the coupling relation between the tension leveler and the tension leveler elongation, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller; s102, based on n groups of withdrawal and straightening parameter data in actual production, establishing a withdrawal and straightening parameter matrix S, wherein the withdrawal and straightening parameters comprise withdrawal and straightening tension, strip yield strength, strip thickness, withdrawal and straightening elongation and straightening roller insertion quantity; s103, optimizing the mathematical model of the tension leveled on the basis of the tension leveled parameter matrix S to obtain the coefficient value of the mathematical model of the tension leveled after optimization, and obtaining the mathematical model of the tension leveled after optimization; s104, carrying out tension leveled treatment on the strip steel in the cold-rolled galvanized tension leveled process based on the mathematical model of the optimized tension leveled tension. That is, the tension leveler sets the tension leveler by using the mathematical model of the optimized tension leveler, and then performs the tension leveler treatment on the strip steel in the cold-rolled galvanization tension leveler process.
In S101, specifically, based on the quadratic function relationship between the tension and the yield strength of the strip and the tension and elongation of the tension, the exponential function relationship between the tension and the thickness h of the strip, the linear function relationship between the tension and the insertion amount of the straightening roller, a mathematical model of the tension is established.
The mathematical model of the specific tension of the withdrawal and straightening is as follows:
wherein σ' F To calculate the tension of the withdrawal and correction, sigma S The yield strength of the strip, h is the thickness of the strip, epsilon is the withdrawal elongation, delta is the insertion amount of the straightening roller, and a 2 、a 3 Is the thickness influence coefficient; a, a 4 、a 5 、a 6 Is the yield strength influence coefficient; a, a 7 、a 8 、a 9 Is the coefficient of influence of the elongation of the withdrawal and straightening; a, a 10 、a 11 An influence coefficient for the insertion amount of the straightening roller; a, a 1 、a 12 Is the integrated influence coefficient.
That is, when the mathematical model of the tension leveler is built, only the coupling relation between the tension leveler and the parameter affecting the tension leveler is known, and a specific actual relation is not determined, and only the mathematical model frame of the tension leveler, that is, the coefficient of the functional relation in the specific mathematical model, is built according to the coupling relation between the tension leveler and the parameter affecting the tension leveler.
The coefficients of the functional relationship directly affect the accuracy of the mathematical model of the withdrawal tension and therefore the value of the coefficients needs to be determined.
In S102, n groups of withdrawal and straightening parameter data in actual production are collected, and a withdrawal and straightening parameter matrix is established.
Specifically, each factor that affects the tension of the withdrawal and straightening includes: yield strength of the strip, thickness of the strip, elongation of the withdrawal and straightening roll insertion. Therefore, a withdrawal and straightening parameter matrix S is constructed according to each group of withdrawal and straightening parameter data.
Wherein sigma F1 =f(σ S1 h 1 ε 1 δ 1 )……σ Fn =f(σ Sn h n ε n δ n )。
σ Fn For the actual tension in the nth group of actual production, sigma Sn For the actual strip yield strength in the nth set of actual productions, h n Epsilon for the actual strip thickness in actual production of the nth group n For the actual withdrawal elongation in the actual production of the nth group, delta n The insertion amount of the actual straightening roll in the actual production of the nth group.
Obtaining a withdrawal and straightening parameter matrix S
Where n is in the range of [1500, 2500], the specific value 2002 is available, i.e. volume 2002 data may be used.
In S103, based on the withdrawal parameter matrix S, the mathematical model of the withdrawal tension is optimized, and the coefficient value of the mathematical model of the withdrawal tension after optimization is obtained, thereby obtaining the mathematical model of the withdrawal tension after optimization.
Specifically, first, an initial value is preset for the value of the coefficient of the mathematical model of the tension of the withdrawal string, for example, a is preset 1 =1、α 2 =2、α 3 =3、α 4 =4、α 5 =5、α 6 =6、α 7 =7、α 8 =8、α 9 =9、α 10 =10、α 11 =11、α 12 =12。
And substituting the preset initial value and the tension-straightening parameter matrix S into a mathematical model of the tension-straightening tension to obtain n groups of calculated tension-straightening tension values. The mathematical model of the tension is made into a complete mathematical model by using the preset initial value, and then other influencing parameter values except the tension value in the tension parameter matrix S are substituted into the complete mathematical model to obtain a calculated tension value, wherein the calculated tension value is different from an actual tension value (the tension value corresponding to the substituted other influencing parameter values in the tension parameter matrix S).
Therefore, based on n groups of calculated tension values of the tension leveled and n groups of actual tension leveled tension values of the tension leveled, a fitness result based on the preset initial value is obtained.
The calculation formula of the fitness result of the preset initial value is as follows:
wherein sigma F Is the i-th group of actual withdrawal tension values in n groups of actual withdrawal tension values in actual production, sigma' F And calculating the tension value of the tension correction for the ith group in the tension value of the tension correction for the n groups. The i-th set of actual tension values and the i-th set of calculated tension values correspond to the same set of values of parameters affecting the tension of the tension.
Before obtaining the fitness result based on the preset initial value, an objective function expression of a preset model of coefficients of a mathematical model of the tension leveler is also obtained:
if the difference between the calculated tension value of the ith group and the corresponding actual tension value of the ith group is smaller, namely the objective function value is smaller, the adaptation degree result of the preset initial value of the coefficient is higher, and the accuracy of the mathematical model of the tension corresponding to the coefficient value is higher.
In order to verify whether the preset initial value at the moment can enable the accuracy of the mathematical model of the withdrawal and straightening tension to be higher, whether the fitness result of the preset initial value is larger than a preset value is judged, and when the fitness result is larger than the preset value, the mathematical model of the withdrawal and straightening tension corresponding to the preset initial value is determined to be accurate. When the value is smaller than the preset value, determining that the mathematical model of the tension of the withdrawal and straightening corresponding to the preset initial value is inaccurate, the values of the coefficients of the mathematical model of the withdrawal tension need to be predicted again.
In predicting the value of the coefficient of the mathematical model of the tension of the withdrawal and straighteningPredicting by genetic algorithm, specifically predicting scale nind=300-500, specifically selecting value nind=500, maximum genetic algebra maxgen=200-300, specifically selecting value maxgen=300, parent and offspring groove ggap=0.7-0.9, specifically selecting value ggap=0.8, and crossover probability P C =0.6 to 0.7, and can be specifically taken as the value P C Probability of variation P =0.65 m =0.01 to 0.035, and may be specifically the value P m =0.035。
And when the fitness result based on the preset initial value is smaller than the preset value, adopting a genetic algorithm to calculate the preset initial value to obtain the first-generation predictive coefficient value after iteration.
And obtaining a fitness result based on the first coefficient value of offspring, the parameter matrix S of withdrawal and the mathematical model of the withdrawal tension. The procedure of obtaining the fitness result based on the preset initial value is similar.
And judging the fitness result of the first daughter coefficient value, and when the first daughter coefficient value is smaller than a preset value, continuing to iterate the first daughter coefficient value by adopting a genetic algorithm until the fitness result of the Nth daughter coefficient value is larger than the preset value, and obtaining the value of the coefficient of the mathematical model of the optimized tension of the tension leveler. Thereby obtaining a mathematical model of the optimized withdrawal tension.
In the embodiment of the invention, the objective function tends to be stable when genetic iteration is adopted to 300 generations, and a better optimization effect is achieved, as shown in fig. 2. The coefficient of the mathematical model of the obtained tension of the withdrawal and correction is alpha 1 =6.34、α 2 =-0.99、α 3 =-11.05、α 4 =-3.80、α 5 =19.90、α 6 =-0.24、α 7 =0.008、α 8 =14.95、α 9 =0.56、α 10 =2.75、α 11 =20.25、α 12 =28.69. Mathematical model of the optimized tension of withdrawal:
σ' F =6.34e -0.99h-11.1 (3.80σ S 2 +19.9σ S -0.24)(0.008ε 2 +14.95ε+0.56)(2.75δ-20.25)+28.69
the mathematical model of the optimized tension leveled tension is adopted, and the calculated tension leveled tension value and the actual tension leveled tension value corresponding to each tension leveled process parameter are basically consistent. When the adopted drawing and straightening parameter data in actual production is within 500 groups, the calculated drawing and straightening tension value and the actual drawing and straightening tension value have deviation, when the drawing and straightening parameter data in actual production reaches about 1000 groups, the calculated drawing and straightening tension value and the deviation of the actual drawing and straightening tension value gradually shrink, when the drawing and straightening parameter data in actual production reaches about 2000 groups, the calculated drawing and straightening tension value and the deviation of the actual drawing and straightening tension value are reduced again, and therefore, the mathematical model of the drawing and straightening tension is optimized by adopting about 2000 groups of drawing and straightening parameter data in actual production, so that the calculated drawing and straightening tension value and the actual drawing and straightening tension value obtained by the model are basically consistent.
And finally, executing S104, and carrying out tension leveler treatment on the strip steel in the cold-rolling galvanization process based on the mathematical model of the optimized tension leveler.
In practical application, the mathematical model of the optimized tension leveler is applied to a 1970 galvanization tension leveler unit, namely, the strip steel in the cold rolling galvanization process is subjected to tension leveler treatment, so that the setting precision of the tension leveler is greatly improved, the overall model precision reaches more than 92%, meanwhile, the tension leveler elongation control precision is ensured, the problems of tension leveler elongation fluctuation and elongation difference caused by subjective setting of operators are eliminated, and the overall shape and performance quality of the finished strip steel are improved.
Based on the same inventive concept, a second embodiment of the present invention provides a withdrawal and straightening unit for strip steel, as shown in fig. 3, including:
the mathematical model building module 301 for building a mathematical model of the tension leveler based on the coupling relationship between the tension leveler and the elongation of the tension leveler, the yield strength of the strip, the thickness of the strip, and the insertion amount of the straightening roller, respectively:
wherein σ' F To calculate the tension of the withdrawal and correction, sigma S The yield strength of the strip, h is the thickness of the strip, epsilon is the withdrawal elongation, delta is the insertion amount of the straightening roller, and a 2 、a 3 Is the thickness influence coefficient; a, a 4 、a 5 、a 6 Is the yield strength influence coefficient; a, a 7 、a 8 、a 9 Is the coefficient of influence of the elongation of the withdrawal and straightening; a, a 10 、a 11 An influence coefficient for the insertion amount of the straightening roller; a, a 1 、a 12 Is the comprehensive influence coefficient;
the withdrawal and straightening parameter matrix establishing module 302 is configured to establish a withdrawal and straightening parameter matrix based on n groups of withdrawal and straightening parameter data in actual production, where the withdrawal and straightening parameters include withdrawal and straightening tension, strip yield strength, strip thickness, withdrawal and straightening elongation, and straightening roll insertion amount;
specifically, the withdrawal and straightening parameter matrix S:
the optimizing module 303 is configured to optimize the mathematical model of the tension leveled according to the tension leveled parameter matrix, obtain a value of a coefficient of the mathematical model of the tension leveled after optimization, and obtain the mathematical model of the tension leveled after optimization;
and the processing module 304 is used for carrying out tension leveled processing on the strip steel in the cold-rolled galvanized tension leveled process based on the mathematical model of the optimized tension leveled tension.
In a preferred embodiment, the mathematical model building module of the tension leveler is specifically configured to:
based on the quadratic function relation between the tension and the yield strength and the tension and the elongation of the strip, the tension and the thickness of the strip are in the exponential function relation, the tension and the insertion quantity of the straightening roller are in the quadratic function relation, and a mathematical model of the tension and the elongation is built.
In a preferred embodiment, n is in the range of [1500, 2500].
In a preferred embodiment, the optimization module specifically includes:
an initial value presetting unit for presetting an initial value for the value of the coefficient of the mathematical model of the tension leveler;
the first obtaining unit is used for substituting the preset initial value and the withdrawal and straightening parameter matrix S into the mathematical model of the withdrawal and straightening tension to obtain n groups of calculated withdrawal and straightening tension values;
the second obtaining unit is used for obtaining an adaptability result based on the preset initial value based on the n groups of calculated tension values of the tension and the n groups of actual tension values of the tension;
a third obtaining unit, configured to calculate the preset initial value by using a genetic algorithm when the fitness result based on the preset initial value is smaller than the preset value, so as to obtain a first-generation prediction coefficient value after iteration;
a fourth obtaining unit, configured to obtain an fitness result based on the first coefficient value of progeny, the parameter matrix S of withdrawal and the mathematical model of withdrawal and straightening tension;
a judging unit configured to judge whether an fitness result based on the first coefficient of offspring is greater than a preset value;
and a fifth obtaining unit, configured to, when the value is smaller than the preset value, continue iterating the first coefficient value by using a genetic algorithm until the obtained fitness result of the nth coefficient value is greater than the preset value, and obtain the value of the coefficient of the mathematical model of the optimized tension leveled tension.
In a preferred embodiment, the calculation formula of the fitness result based on the preset initial value obtained in the fourth obtaining unit is as follows:
wherein sigma F Is the i-th group of actual withdrawal tension values in n groups of actual withdrawal tension values in actual production, sigma' F And calculating the tension value of the tension correction for the ith group in the tension value of the tension correction for the n groups.
One or more technical solutions in the embodiments of the present invention at least have the following technical effects or advantages:
the invention provides a method for processing the withdrawal and straightening of strip steel, which comprises the following steps: based on the coupling relation between the tension and the elongation of the tension, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, a mathematical model of the tension is established, based on the tension parameter data in n groups of actual production, a tension parameter matrix is established, based on the tension parameter matrix, the mathematical model of the tension is optimized, the coefficient value of the mathematical model of the tension after optimization is obtained, finally, the strip steel in the cold rolling galvanization tension-straightening process is subjected to tension-straightening treatment based on the mathematical model after optimization, and further, the tension model with higher accuracy is obtained by combining actual operation experience on the basis of theory, so that the tension with higher accuracy is provided, and the technical problem that the influence on the quality of the strip steel is caused due to the difference in the setting of tension values by different operators is avoided.
Based on the same inventive concept, the third embodiment of the present invention further provides a computer device, as shown in fig. 4, for convenience of explanation, only the portion related to the embodiment of the present invention is shown, and specific technical details are not disclosed, please refer to the method portion of the embodiment of the present invention. The computer device may be any terminal device including a personal computer, a mobile phone, a tablet computer, a PDA (Personal Digital Assistant ), a POS (Point of Sales) device, and the like, taking the personal computer as an example of the computer device:
fig. 4 is a block diagram showing a part of the structure related to the computer device provided by the embodiment of the present invention. Referring to fig. 4, the computer apparatus includes: a memory 401 and a processor 402. Those skilled in the art will appreciate that the computer device structure shown in FIG. 4 is not limiting of the computer device and may include more or fewer components than shown, or may be combined with certain components, or a different arrangement of components.
The following describes the respective constituent elements of the computer apparatus in detail with reference to fig. 4:
the memory 401 may be used to store software programs and modules, and the processor 402 executes various functional applications and data processing by executing the software programs and modules stored in the memory 401. The memory 401 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebooks, etc.), etc. In addition, memory 401 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
In an embodiment of the present invention, the processor 402 included in the computer device may have functions corresponding to the steps of any of the methods in the first embodiment.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. A method of tension leveler treatment of a strip steel, the method comprising:
based on the coupling relation between the tension and the elongation of the straightening, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, a mathematical model of the tension and the elongation is established:
wherein σ' F To calculate the tension of the withdrawal and correction, sigma S The yield strength of the strip, h is the thickness of the strip, epsilon is the withdrawal elongation, delta is the insertion amount of the straightening roller, and a 2 、a 3 Is the thickness influence coefficient; a, a 4 、a 5 、a 6 Is the yield strength influence coefficient; a, a 7 、a 8 、a 9 Is the coefficient of influence of the elongation of the withdrawal and straightening; a, a 10 、a 11 An influence coefficient for the insertion amount of the straightening roller; a, a 1 、a 12 Is the comprehensive influence coefficient;
based on n groups of withdrawal and straightening parameter data in actual production, establishing a withdrawal and straightening parameter matrix, wherein the withdrawal and straightening parameters comprise withdrawal and straightening tension, strip yield strength, strip thickness, withdrawal and straightening elongation and straightening roller insertion quantity;
optimizing the mathematical model of the withdrawal and straightening tension based on the withdrawal and straightening parameter matrix, obtaining the coefficient value of the mathematical model of the optimized tension leveler, and obtaining the mathematical model of the optimized tension leveler;
the method comprises the steps of optimizing the mathematical model of the tension leveled on the basis of the tension leveled parameter matrix to obtain the coefficient value of the mathematical model of the tension leveled after optimization, and specifically comprises the following steps:
presetting an initial value for the value of a coefficient of a mathematical model of the tension of the withdrawal and straightening;
substituting the preset initial value and the withdrawal and straightening parameter matrix into a mathematical model of the withdrawal and straightening tension to obtain n groups of calculated withdrawal and straightening tension values;
calculating a tension value of the tension leveler and n groups of actual tension leveler based on the n groups, and obtaining a fitness result based on the preset initial value;
when the fitness result based on the preset initial value is smaller than a preset value, calculating the preset initial value by adopting a genetic algorithm to obtain a first-generation predictive coefficient value after iteration;
obtaining an fitness result based on the first coefficient value of progeny, the parameter matrix S of withdrawal and straightening tension mathematical model;
judging whether the fitness result based on the first coefficient value of offspring is larger than a preset value;
when the value is smaller than the preset value, continuing to iterate the first coefficient value of offspring by adopting a genetic algorithm until the obtained fitness result of the coefficient value of the Nth coefficient of offspring is larger than the preset value, and obtaining the value of the coefficient of the mathematical model of the optimized tension of withdrawal and correction
And carrying out tension leveled treatment on the strip steel in the cold rolling galvanization tension leveled process based on the mathematical model of the optimized tension leveled tension.
2. The method according to claim 1, wherein the mathematical model of the tension leveler is established based on the coupling relation between the tension leveler tension and the tension leveler elongation, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller, respectively, specifically:
based on the fact that the tension and the yield strength and the tension and straightening elongation of the strip are in a quadratic function relationship, the tension and the straightening tension are in an exponential function relationship with the thickness h of the strip, the tension and the straightening roller insertion amount are in a linear function relationship, and a mathematical model of the tension and the straightening tension is built.
3. The method of claim 1, wherein n has a value in the range of [1500, 2500].
4. The method of claim 1, wherein the fitness result based on the preset initial value is calculated as follows:
wherein sigma F Is the i-th group of actual withdrawal tension values in n groups of actual withdrawal tension values in actual production, sigma' F And calculating the tension value of the tension correction for the ith group in the tension value of the tension correction for the n groups.
5. A tension leveler for strip steel, comprising:
the mathematical model building module of the tension leveler is used for building a mathematical model of the tension leveler based on the coupling relation between the tension leveler and the elongation of the tension leveler, the yield strength of the strip, the thickness of the strip and the insertion amount of the straightening roller respectively:
wherein σ' F To calculate the tension of the withdrawal and correction, sigma S The yield strength of the strip, h is the thickness of the strip, epsilon is the withdrawal elongation, delta is the insertion amount of the straightening roller, and a 2 、a 3 Is the thickness influence coefficient; a, a 4 、a 5 、a 6 Is the yield strength influence coefficient; a, a 7 、a 8 、a 9 Is the coefficient of influence of the elongation of the withdrawal and straightening; a, a 10 、a 11 An influence coefficient for the insertion amount of the straightening roller; a, a 1 、a 12 Is the comprehensive influence coefficient;
the tension leveler parameter matrix building module is used for building a tension leveler parameter matrix based on n groups of tension leveler parameter data in actual production, wherein the tension leveler parameters comprise tension leveler tension, strip yield strength, strip thickness, tension leveler elongation and straightener roll insertion quantity:
the optimization module is used for optimizing the mathematical model of the tension leveled on the basis of the tension leveled parameter matrix, obtaining the coefficient value of the mathematical model of the tension leveled after optimization, and obtaining the mathematical model of the tension leveled after optimization;
the optimization module specifically comprises:
an initial value presetting unit for presetting an initial value for the value of the coefficient of the mathematical model of the tension leveler;
the first obtaining unit is used for substituting the preset initial value and the withdrawal and straightening parameter matrix into the mathematical model of the withdrawal and straightening tension to obtain n groups of calculated withdrawal and straightening tension values;
the second obtaining unit is used for obtaining an adaptability result based on the preset initial value based on the n groups of calculated tension values of the tension and the n groups of actual tension values of the tension;
a third obtaining unit, configured to calculate the preset initial value by using a genetic algorithm when the fitness result based on the preset initial value is smaller than the preset value, so as to obtain a first-generation prediction coefficient value after iteration;
a fourth obtaining unit, configured to obtain an fitness result based on the first coefficient of progeny value based on a mathematical model of the first coefficient of progeny value, the tension-leveled parameter matrix S, and the tension-leveled tension;
a judging unit configured to judge whether an fitness result based on the first coefficient of offspring is greater than a preset value;
a fifth obtaining unit, configured to, when the value is smaller than the preset value, continue iterating the first coefficient value by using a genetic algorithm until the fitness result of the obtained nth coefficient value is greater than the preset value, and obtain a value of a coefficient of the mathematical model of the optimized tension leveled tension;
and the processing module is used for carrying out tension leveled treatment on the strip steel in the cold-rolled galvanized tension leveled process based on the mathematical model of the optimized tension leveled tension.
6. The apparatus of claim 5, wherein the mathematical model of tension of the withdrawal string is configured to:
based on the quadratic function relation between the tension and the yield strength and the tension and the elongation of the strip, the tension and the thickness of the strip are in the exponential function relation, the tension and the insertion quantity of the straightening roller are in the quadratic function relation, and a mathematical model of the tension and the elongation is built.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method steps of any of claims 1-4 when the program is executed.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3839888A (en) * | 1972-11-06 | 1974-10-08 | Wean United Inc | Tension levelling of strip |
CN102672003A (en) * | 2011-03-07 | 2012-09-19 | 宁波宝新不锈钢有限公司 | Method for setting process parameters of stainless steel strip steel withdrawal and straightening machine unit |
CN106270001A (en) * | 2016-08-30 | 2017-01-04 | 中冶南方工程技术有限公司 | The acquisition methods of upper row's roller drafts of a kind of roll-type stretch bending-straightening machine and device |
CN106540990A (en) * | 2016-07-06 | 2017-03-29 | 太原科技大学 | A kind of distribution method of strip steel stretch bending-straightening machine tension force and Bent mirror |
-
2018
- 2018-09-25 CN CN201811119797.1A patent/CN109299541B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3839888A (en) * | 1972-11-06 | 1974-10-08 | Wean United Inc | Tension levelling of strip |
CN102672003A (en) * | 2011-03-07 | 2012-09-19 | 宁波宝新不锈钢有限公司 | Method for setting process parameters of stainless steel strip steel withdrawal and straightening machine unit |
CN106540990A (en) * | 2016-07-06 | 2017-03-29 | 太原科技大学 | A kind of distribution method of strip steel stretch bending-straightening machine tension force and Bent mirror |
CN106270001A (en) * | 2016-08-30 | 2017-01-04 | 中冶南方工程技术有限公司 | The acquisition methods of upper row's roller drafts of a kind of roll-type stretch bending-straightening machine and device |
Non-Patent Citations (5)
Title |
---|
冷轧拉伸弯曲矫直机工艺参数设定影响因素研究;张亮等;《轧钢》;20141215(第06期);全文 * |
冷轧连退线张力控制模型优化策略;齐海英;《轧钢》;20120615(第03期);全文 * |
基于Abaqus的带材拉矫过程中张力损失的验证分析;傅玉勇等;《冶金设备》;20130415(第02期);全文 * |
张亮等.冷轧拉伸弯曲矫直机工艺参数设定影响因素研究.《轧钢》.2014,(第06期), * |
拉弯矫直理论和酸洗拉矫机工艺设定的研究;李同庆;《冶金设备》;20110215(第01期);全文 * |
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