CN105404711A - Optimization method and system for process parameters of withdrawal and straightening machine - Google Patents
Optimization method and system for process parameters of withdrawal and straightening machine Download PDFInfo
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Abstract
The invention relates to the technical field of cold rolling, in particular to an optimization method and system for process parameters of a withdrawal and straightening machine. The method comprises: setting parameters of a finite element basic calculation model of the withdrawal and straightening machine according to a first array corresponding to a layer on which pre-withdrawn-and-straightened strip steel is located, inputting at least four second arrays, and storing a calculated torque load into a corresponding second array; calculating a multi-variable regression function with a mathematic regression method, wherein variables of the multi-variable regression function are a first parameter, a second parameter, an elongation rate and a torque load; and presetting the values of a target torque load and a target elongation rate, calculating a relational function of the first parameter and the second parameter, and optimizing the process parameters of the withdrawal and straightening machine. The system comprises a strip steel classification unit, a parameter setting unit, a data generation unit, a first calculation unit, a second calculation unit and a parameter optimization unit. According to the optimization method and system for the process parameters of the withdrawal and straightening machine, provided by the invention, a load of the withdrawal and straightening machine can be controlled to be within a target value, so that a withdrawal and straightening program can be executed stably and reliably.
Description
Technical field
The present invention relates to cold rolling technology field, particularly a kind of optimization method of withdrawal straightening machine technological parameter and system.
Background technology
Cold-strip steel needed to carry out the process of straightening scale breading before carrying out pickling, to carry out physical disturbance process to the iron scale of hot rolled steel plate on the one hand, iron scale is peeled off, is convenient to acid cleaning process acid solution and enters iron scale raising pickling effect, improve plate surface quality; Greatly can improve on the other hand the strip shape quality of cold rolling base, and then the stability improved with steel in cold rolling process and cold-rolled quality.Therefore, in cold-rolled thin steel strip production run, withdrawal straightening machine PROCESS FOR TREATMENT link is the key factor that restriction produces that product quality is produced, improved to line smoothly.Affect withdrawal straightening machine factor of production more, input parameter is except being with the steel grade of steel, width and thickness, also have the extensibility setting, key parameter setting etc. of withdrawal straightening machine, output parameter then has the motor load of withdrawal straightening machine, withdrawal straightening machine tension force and working roll normal load etc.Therefore withdrawal straightening machine production run is the control system of a multiple-input and multiple-output.Without the withdrawal straightening machine of parameter optimization, except affecting withdrawal straightening machine production efficiency, outside influence zone steel quality, working roll roller also can be caused to consume excessive, motor for withdrawal & straightening machine transships, the serious motor that even causes is damaged, and makes straightening be difficult to realize reliable and stable high-speed production, has a strong impact on Yield and quality and the efficiency of unit.
Summary of the invention
The embodiment of the present invention is by providing a kind of optimization method and system of withdrawal straightening machine technological parameter, solve withdrawal straightening machine optimum configurations in prior art unreasonable, cause the technical matters that withdrawal straightening machine load is larger, achieve the optimization of withdrawal straightening machine load, reduce withdrawal straightening machine load, make the operation that straightening program is reliable and stable.
Embodiments provide a kind of optimization method of withdrawal straightening machine technological parameter, the technological parameter of described withdrawal straightening machine comprises the first parameter and the second parameter, and described method comprises:
Obtain the band steel grade of steel, thickness and width information, described band steel is divided into different layers other according to the steel grade of described band steel, thickness and width, it is other that the described band steel of identical steel grade, thickness and width is divided into same layer; Generate the first array, a described first array record described layer not in the steel grade of described band steel, thickness and width data.
Generate at least four the second arrays, each described second array comprises the occurrence of the first parameter described in a group, the second parameter and described band steel extensibility.
Setting withdrawal straightening machine Basic Finite Element Method computation model, described first array not corresponding according to the described band steel place layer of pre-straightening sets the correlation parameter of described withdrawal straightening machine Basic Finite Element Method computation model, at least four described second arrays are inputted in described withdrawal straightening machine Basic Finite Element Method computation model, often input a described second array correspondence and obtain a described torque load, the described torque load calculated is saved in corresponding described second array.
Extract described second array of preserving described torque load, adopt the method for mathematical regression, calculate the multivariate regression function that variable is the first parameter, the second parameter, extensibility and described torque load.
The value of goal-selling torque load and target extensibility, brings into the value of the described target torque load preset and described target extensibility in described multivariate regression function, calculates the relation function between described first parameter and the second parameter.
Read described relation function, according to described relation function, in described withdrawal straightening machine, set the value of described first parameter and described second parameter, realize the optimization to described withdrawal straightening machine technological parameter.
Further, described second array is 18.
Further, after generating described first array, otherness numbering is carried out to different described first arrays.
Further, described first parameter set in described withdrawal straightening machine and described second parameter are kept in form document; Described withdrawal straightening machine reads described form document.
The embodiment of the present invention additionally provides a kind of optimization system of withdrawal straightening machine technological parameter, comprising:
Band steel taxon, for obtaining the steel grade of band steel, thickness and width information, to be divided into different layers according to the steel grade of band steel, thickness and width other by described band steel, it is other that the described band steel of identical steel grade, thickness and width is divided into same layer; The steel grade of the described band steel in adopting independent the first array record described layer not, thickness and width data.
Parameter setting unit, for setting at least four the second arrays, each described second array comprises the occurrence of the first parameter described in a group, the second parameter and described band steel extensibility.
Data generating unit, for setting withdrawal straightening machine Basic Finite Element Method computation model and obtaining described first array, described first array not corresponding according to the described band steel place layer of pre-straightening sets the correlation parameter of described withdrawal straightening machine Basic Finite Element Method computation model, at least four described second arrays are inputted in described withdrawal straightening machine Basic Finite Element Method computation model, often input a described second array correspondence and obtain a described torque load, the described torque load calculated is saved in corresponding described second array.
First computing unit, for extracting described second array of preserving described torque load, adopting the method for mathematical regression, calculating the multivariate regression function that variable is the first parameter, the second parameter, extensibility and described torque load.
Second computing unit, for obtaining described multivariate regression function, the value of goal-selling torque load and target extensibility, the value of the described target torque load preset and described target extensibility is brought in described multivariate regression function, calculates the relation function between described first parameter and the second parameter.
Parameter optimization unit, for obtaining described relation function, in described withdrawal straightening machine, set the value of described first parameter and described second parameter, make the value of described first parameter and described second parameter meet described relation function, realize the optimization to described withdrawal straightening machine technological parameter.
Further, described second array inputted in described withdrawal straightening machine Basic Finite Element Method computation model is 18.
Further, described band steel taxon also for after generating described first array, carries out otherness numbering to all described first arrays.
Further, in described parameter optimization unit, described first parameter set in described withdrawal straightening machine and described second parameter are kept in form document; Described withdrawal straightening machine reads described form document.
One or more technical schemes that the embodiment of the present invention provides, at least possess following beneficial effect or advantage:
1, the optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, adopt the method for mathematical regression, calculating variable is the first parameter, second parameter, the multivariate regression function of extensibility and torque load, and utilize multivariate regression function to calculate relation function between the first parameter and the second parameter, the value of the first parameter and the second parameter is made to meet relation function during optimization, can the load of withdrawal straightening machine be controlled within desired value, reduce working roll roller consumption, achieve the carrying out that straightening program is reliable and stable, ensure that the output of withdrawal straightening stands, quality and efficiency.The optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, by setting withdrawal straightening machine Basic Finite Element Method computation model, and the first array and the second array is inputted in withdrawal straightening machine Basic Finite Element Method computation model, simulate the operating mode of straightening really, ensure that the accuracy of torque load data, direct control on withdrawal straightening machine can be avoided again simultaneously to cause damage to band steel and straightening production line.
2, the optimization method of withdrawal straightening machine technological parameter that provides of the embodiment of the present invention and system, second array is 18, ensure that variable is the accuracy of the multivariate regression function of the first parameter, the second parameter, extensibility and torque load, guarantee that the relation function between the first parameter and the second parameter is tending towards actual value, improve the effect of optimization of withdrawal straightening machine parameter.
3, the optimization method of withdrawal straightening machine technological parameter that provides of the embodiment of the present invention and system, carry out otherness numbering to the first different arrays, conveniently carries out identification and extraction to the first array.
Accompanying drawing explanation
The optimization method process flow diagram of the withdrawal straightening machine technological parameter that Fig. 1 provides for the embodiment of the present invention;
The optimization system structural representation of the withdrawal straightening machine technological parameter that Fig. 2 provides for the embodiment of the present invention.
Embodiment
The embodiment of the present invention is by providing a kind of optimization method and system of withdrawal straightening machine technological parameter, solve withdrawal straightening machine optimum configurations in prior art unreasonable, cause the technical matters that withdrawal straightening machine load is larger, achieve the optimization of withdrawal straightening machine load, reduce withdrawal straightening machine load, make the operation that straightening program is reliable and stable.
Embodiments provide a kind of optimization method of withdrawal straightening machine technological parameter, the technological parameter of withdrawal straightening machine comprises the first parameter and the second parameter, and see Fig. 1, the method comprises:
Step 10, obtain the band steel grade of steel, thickness and width information, according to the steel grade of band steel, thickness and width, band steel is divided into different layers other, it is other that the band steel of identical steel grade, thickness and width is divided into same layer; Generate the first array, first array record layer not in the steel grade of band steel, thickness and width data; Otherness numbering is carried out to the first all arrays.
Step 20, generation at least four (the present embodiment adopts 18) second arrays, each second array comprises the occurrence of one group of first parameter, the second parameter and band steel extensibility.
Step 30, setting withdrawal straightening machine Basic Finite Element Method computation model, first array corresponding according to the band steel place layer of pre-straightening sets the correlation parameter of withdrawal straightening machine Basic Finite Element Method computation model, at least four the second arrays are inputted in withdrawal straightening machine Basic Finite Element Method computation model, often input a second array correspondence and obtain a torque load, the torque load of calculating is saved in the second corresponding array.
Step 40, extraction preserve described second array of torque load, adopt the method for mathematical regression, calculate the multivariate regression function that variable is the first parameter, the second parameter, extensibility and torque load.
The value of step 50, goal-selling torque load and target extensibility, brings into the value of default target torque load and target extensibility in multivariate regression function, calculates the relation function between the first parameter and the second parameter.
Step 60, reading relation function, according to relation function, set the value of the first parameter and the second parameter in withdrawal straightening machine, the first parameter set in withdrawal straightening machine and the second parameter are kept in form document, withdrawal straightening machine reads form document, realizes the optimization to withdrawal straightening machine technological parameter.
Such as:
For the band steel of yield strength >=100Mpa, width >=900mm, thickness >=3mm, first array corresponding according to the band steel place layer of pre-straightening sets the correlation parameter of withdrawal straightening machine Basic Finite Element Method computation model, and inputs 18 the second arrays in withdrawal straightening machine Basic Finite Element Method computation model.
Set that the first parameter is B1, the second parameter is B2, extensibility is E, the torque load calculated is T, and the described second array distribution situation of preserving torque load is as shown in table 1:
Table 1
As shown in table 1, extract second array of preserving torque load, adopt the method for mathematical regression, calculate the multivariate regression function T=-7.885*B1-11.916*B2+153.779*E+0.288*B1*B2-3.161*B1*E+5 27.063 that variable is the first parameter B1, the second parameter B2, extensibility E and torque load T.
Goal-selling torque load is 400, target extensibility is 1.1, the value of default target torque load and target extensibility brought in multivariate regression function T=-7.885*B1-11.916*B2+153.779*E+0.288*B1*B2-3.161*B1*E+5 27.063, the relation function calculated between the first parameter and the second parameter is B2=(296.22-11.362*B1)/(11.916-0.288*B1).
The value of the first parameter and the second parameter is set in withdrawal straightening machine, make the value of the first parameter and the second parameter meet relation function B2=(296.22-11.362*B1)/(11.916-0.288*B1), the corresponding relation obtained between withdrawal straightening machine setting load, extensibility and the first parameter and the second parameter is as shown in table 2:
| Yield strength | Width | Thickness | Target extensibility | Target load | B1 | B2 |
| 100 | 900 | 3 | 1.1 | 400 | 0 | 24 |
| 100 | 900 | 3 | 1.1 | 400 | 5 | 22 |
| 100 | 900 | 3 | 1.1 | 400 | 10 | 20 |
| 100 | 900 | 3 | 1.1 | 400 | 15 | 16 |
| 100 | 900 | 3 | 1.1 | 400 | 20 | 11 |
| 100 | 900 | 3 | 1.1 | 400 | 25 | 2 |
| 100 | 900 | 3 | 1.1 | 400 | 30 | 0 |
Table 2
As shown in Table 2, the band steel of yield strength >=100Mpa, width >=900mm, thickness >=3mm, when target torque load is 400, target extensibility is 1.1, first parameter can be optimized for the 15, second parameter B2 can be optimized for 16, the value of the first parameter B1 and the second parameter B2 is kept in form document, withdrawal straightening machine reads form document, realizes the optimization to withdrawal straightening machine technological parameter.
See Fig. 2, the embodiment of the present invention additionally provides a kind of optimization system of withdrawal straightening machine technological parameter, comprising: band steel taxon, parameter setting unit, data generating unit, the first computing unit, the second computing unit and parameter optimization unit.
With steel taxon for obtaining the band steel grade of steel, thickness and width information, according to the steel grade of band steel, thickness and width, band steel is divided into different layers other, it is other that the band steel of identical steel grade, thickness and width is divided into same layer; The steel grade of the band steel in adopting independent the first array record layer not, thickness and width data; And otherness numbering is carried out to the first all arrays.
Parameter setting unit is used for setting at least four (the present embodiment adopts 18) second arrays, and each second array comprises the occurrence of one group of first parameter, the second parameter and band steel extensibility.
Data generating unit is for setting withdrawal straightening machine Basic Finite Element Method computation model and obtaining the first array, first array corresponding according to the band steel place layer of pre-straightening sets the correlation parameter of withdrawal straightening machine Basic Finite Element Method computation model, at least four the second arrays are inputted in withdrawal straightening machine Basic Finite Element Method computation model, often input a second array correspondence and obtain a torque load, the torque load of calculating is saved in the second corresponding array.
First computing unit preserves the second array of torque load for extracting, adopt the method for mathematical regression, calculate the multivariate regression function that variable is the first parameter, the second parameter, extensibility and torque load.
Second computing unit is for obtaining multivariate regression function, and the value of predetermined torque load and extensibility, brings into the value of default torque load and extensibility in multivariate regression function, calculate the relation function between the first parameter and the second parameter.
Parameter optimization unit is for obtaining relation function, the value of the first parameter and the second parameter is set in withdrawal straightening machine, the value of the first parameter and the second parameter is made to meet relation function, the first parameter set in withdrawal straightening machine and the second parameter are kept in form document, withdrawal straightening machine reads form document, realizes the optimization to withdrawal straightening machine technological parameter.
The optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, at least possess following beneficial effect:
The optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, adopt the method for mathematical regression, calculating variable is the first parameter, second parameter, the multivariate regression function of extensibility and torque load, and utilize multivariate regression function to calculate relation function between the first parameter and the second parameter, the value of the first parameter and the second parameter is made to meet relation function during optimization, can the load of withdrawal straightening machine be controlled within desired value, reduce working roll roller consumption, achieve the carrying out that straightening program is reliable and stable, ensure that the output of withdrawal straightening stands, quality and efficiency.The optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, by setting withdrawal straightening machine Basic Finite Element Method computation model, and the first array and the second array is inputted in withdrawal straightening machine Basic Finite Element Method computation model, simulate the operating mode of straightening really, ensure that the accuracy of torque load data, direct control on withdrawal straightening machine can be avoided again simultaneously to cause damage to band steel and straightening production line.
The optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, second array is 18, ensure that variable is the accuracy of the multivariate regression function of the first parameter, the second parameter, extensibility and torque load, guarantee that the relation function between the first parameter and the second parameter is tending towards actual value, improve the effect of optimization of withdrawal straightening machine parameter.
The optimization method of the withdrawal straightening machine technological parameter that the embodiment of the present invention provides and system, carry out otherness numbering to the first all arrays, conveniently carries out identification and extraction to the first array.
It should be noted last that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to example to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (8)
1. an optimization method for withdrawal straightening machine technological parameter, the technological parameter of described withdrawal straightening machine comprises the first parameter and the second parameter, and it is characterized in that, described method comprises:
Obtain the band steel grade of steel, thickness and width information, described band steel is divided into different layers other according to the steel grade of described band steel, thickness and width, it is other that the described band steel of identical steel grade, thickness and width is divided into same layer; Generate the first array, a described first array record described layer not in the steel grade of described band steel, thickness and width data;
Generate at least four the second arrays, each described second array comprises the occurrence of the first parameter described in a group, the second parameter and described band steel extensibility;
Setting withdrawal straightening machine Basic Finite Element Method computation model, described first array not corresponding according to the described band steel place layer of pre-straightening sets the correlation parameter of described withdrawal straightening machine Basic Finite Element Method computation model, at least four described second arrays are inputted in described withdrawal straightening machine Basic Finite Element Method computation model, often input a described second array correspondence and obtain a described torque load, the described torque load calculated is saved in corresponding described second array;
Extract described second array of preserving described torque load, adopt the method for mathematical regression, calculate the multivariate regression function that variable is the first parameter, the second parameter, extensibility and described torque load; The value of goal-selling torque load and target extensibility, brings into the value of described target torque load and described target extensibility in described multivariate regression function, calculates the relation function between described first parameter and the second parameter;
Read described relation function, according to described relation function, in described withdrawal straightening machine, set the value of described first parameter and described second parameter, realize the optimization to described withdrawal straightening machine technological parameter.
2. the optimization method of withdrawal straightening machine technological parameter as claimed in claim 1, it is characterized in that, described second array is 18.
3. the optimization method of withdrawal straightening machine technological parameter as claimed in claim 1, is characterized in that, after generating described first array, carry out otherness numbering to different described first arrays.
4. the optimization method of the withdrawal straightening machine technological parameter as described in any one of claims 1 to 3, is characterized in that, described first parameter set in described withdrawal straightening machine and described second parameter are kept in form document;
Described withdrawal straightening machine reads described form document.
5. an optimization system for withdrawal straightening machine technological parameter, is characterized in that, comprising:
Band steel taxon, for obtaining the steel grade of band steel, thickness and width information, to be divided into different layers according to the steel grade of described band steel, thickness and width other by described band steel, it is other that the described band steel of identical steel grade, thickness and width is divided into same layer; Generate the first array, a described first array record described layer not in the steel grade of described band steel, thickness and width data;
Parameter setting unit, for generating at least four the second arrays, each described second array comprises the occurrence of the first parameter described in a group, the second parameter and described band steel extensibility;
Data generating unit, for setting withdrawal straightening machine Basic Finite Element Method computation model and obtaining described first array, described first array not corresponding according to the described band steel place layer of pre-straightening sets the correlation parameter of described withdrawal straightening machine Basic Finite Element Method computation model, at least four described second arrays are inputted in described withdrawal straightening machine Basic Finite Element Method computation model, often input a described second array correspondence and obtain a described torque load, the described torque load calculated is saved in corresponding described second array;
First computing unit, for extracting described second array of preserving described torque load, adopting the method for mathematical regression, calculating the multivariate regression function that variable is the first parameter, the second parameter, extensibility and described torque load;
Second computing unit, for obtaining described multivariate regression function, the value of goal-selling torque load and target extensibility, the value of the described target torque load preset and described target extensibility is brought in described multivariate regression function, calculates the relation function between described first parameter and the second parameter;
Parameter optimization unit, reads described relation function, according to described relation function, sets the value of described first parameter and described second parameter in described withdrawal straightening machine, realizes the optimization to described withdrawal straightening machine technological parameter.
6. the optimization system of withdrawal straightening machine technological parameter as claimed in claim 5, it is characterized in that, described second array inputted in described withdrawal straightening machine Basic Finite Element Method computation model is 18.
7. the optimization system of withdrawal straightening machine technological parameter as claimed in claim 5, is characterized in that, described band steel taxon also for after generating described first array, carries out otherness numbering to different described first arrays.
8. the optimization system of the withdrawal straightening machine technological parameter as described in any one of claim 4 ~ 7, is characterized in that, in described parameter optimization unit, described first parameter set in described withdrawal straightening machine and described second parameter are kept in form document;
Described withdrawal straightening machine reads described form document.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107908836A (en) * | 2017-10-31 | 2018-04-13 | 首钢京唐钢铁联合有限责任公司 | A kind of rolling parameter optimization method and device |
| CN108817103A (en) * | 2018-06-06 | 2018-11-16 | 武汉科技大学 | A kind of other Classified optimization method of steel rolling model steel group layer |
| CN113589760A (en) * | 2021-07-30 | 2021-11-02 | 武汉科技大学 | Integrated control system and method for parameters of withdrawal and straightening unit |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5630467A (en) * | 1994-09-30 | 1997-05-20 | Hitachi, Ltd. | Thin slab continuous casting machine and method |
| CN101097581A (en) * | 2006-06-27 | 2008-01-02 | 宝山钢铁股份有限公司 | Processing parameter setting method of tension straightening machine set correct roller |
| CN102455662A (en) * | 2010-10-26 | 2012-05-16 | 宝山钢铁股份有限公司 | Optimized setting method and system for straightening parameters of hot rolled strip straightener |
| 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 |
-
2015
- 2015-10-23 CN CN201510698872.4A patent/CN105404711B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5630467A (en) * | 1994-09-30 | 1997-05-20 | Hitachi, Ltd. | Thin slab continuous casting machine and method |
| CN101097581A (en) * | 2006-06-27 | 2008-01-02 | 宝山钢铁股份有限公司 | Processing parameter setting method of tension straightening machine set correct roller |
| CN102455662A (en) * | 2010-10-26 | 2012-05-16 | 宝山钢铁股份有限公司 | Optimized setting method and system for straightening parameters of hot rolled strip straightener |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 常铁柱，等: "拉矫机结构优化和工艺参数设定分析", 《第七届压力加工设备学术研讨会论文集》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107908836A (en) * | 2017-10-31 | 2018-04-13 | 首钢京唐钢铁联合有限责任公司 | A kind of rolling parameter optimization method and device |
| CN107908836B (en) * | 2017-10-31 | 2021-11-19 | 首钢京唐钢铁联合有限责任公司 | Rolling parameter optimization method and device |
| CN108817103A (en) * | 2018-06-06 | 2018-11-16 | 武汉科技大学 | A kind of other Classified optimization method of steel rolling model steel group layer |
| CN108817103B (en) * | 2018-06-06 | 2020-01-14 | 武汉科技大学 | Steel rolling model steel family layer classification optimization method |
| CN113589760A (en) * | 2021-07-30 | 2021-11-02 | 武汉科技大学 | Integrated control system and method for parameters of withdrawal and straightening unit |
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