CN112974543B - Method for optimizing ship-shaped curve of hot-rolled thin strip steel - Google Patents
Method for optimizing ship-shaped curve of hot-rolled thin strip steel Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/16—Control of thickness, width, diameter or other transverse dimensions
- B21B37/18—Automatic gauge control
- B21B37/20—Automatic gauge control in tandem mills
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/16—Control of thickness, width, diameter or other transverse dimensions
- B21B37/22—Lateral spread control; Width control, e.g. by edge rolling
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Abstract
The invention relates to a method for optimizing ship-shaped curves of various hot-rolled thin strip steels, which comprises the following steps: s1, collecting middle width narrow data according to different thicknesses, and deducing an optimization compensation formula in a fitting mode; step S2, judging a strip steel width curve needing optimization compensation; step S3, optimizing and compensating the ship type through a fitting formula; through the steps of data screening, data collection circular fitting, three-section compensation and the like of the method, the width control precision is effectively improved. The method also plays a good role in the practical production of the plum steel. Particularly, the data cycle fitting greatly improves the fitting precision by increasing the exponential control of a fitting function.
Description
Technical Field
The invention relates to an optimization method, in particular to an optimization method for a ship-shaped curve of a hot-rolled thin strip steel, and belongs to the technical field of production control of the hot-rolled thin strip steel.
Background
The following problems exist in the production process of the strip steel: the thin gauge strip steel has the problems of wide strip steel width head and tail and narrow middle part due to the fact that tension does not exist between head and tail racks, the middle part finish rolling tension is large and the like, the finish rolling curve of the thin gauge strip steel is similar to a ship shape, the thin gauge strip steel is poor in rolling stability, large tension is needed for guaranteeing the rolling stability, the middle part width can only be compensated, and the problem cannot be solved properly all the time, so that a new scheme is urgently needed for solving the technical problems.
Disclosure of Invention
The invention provides the optimization method of the ship-shaped curve of the hot-rolled thin strip steel aiming at the problems in the prior art, and the technical scheme effectively improves the width control precision through the steps of data screening, data collection circular fitting, three-section compensation and the like.
In order to achieve the above object, the technical solution of the present invention is a method for optimizing a ship-shaped curve of a hot-rolled thin strip, comprising the steps of:
s1, collecting middle width narrow data according to different thicknesses, and deducing an optimization compensation formula in a fitting mode;
step S2, judging a strip steel width curve needing optimization compensation;
and step S3, carrying out optimization compensation on the ship type through the fitted formula.
As an improvement of the present invention, in step S1, data of the narrow width of the middle part is collected according to different rolling thicknesses, and an optimization compensation formula is derived by a fitting method, specifically as follows:
s11, preliminary screening of data
Rolled thickness H of hot rolling production line 0 The production range is generally 1.3 mm-19.0 mm, and in the rolling process, the heating temperature of the strip steel, the rolling force of the stand, the width expansion and the like are different due to different thicknesses, so that the rolled width curves have great difference. The production ranges of the thickness are classified according to the experience summarized in the production process and the analysis of a large amount of rolling data, and the classification table is as follows:
the tension setting and the width curve among the racks of the strip steel are counted to find that the strip steel width curve with the thickness range less than 2.0mm has the phenomena of narrow middle and wide two ends, the data with the thickness range less than 2.0mm are screened out,
s12, preliminary fitting of data;
according to the thickness grade, three grades of the thickness are respectively fitted, and the fitting method is to fit different width curves caused by different thicknesses:
the method comprises the following steps: during fitting, determining an index of a fitting function, and fitting a preliminary function Y1 ═ f (x) by using a function polyfit (x, w1, i) by collecting a width value w1 corresponding to a middle position x, wherein i represents the index and is gradually increased from 1; compared with other fitting modes, the fitting method increases the index i, so that the index is completely adjusted according to field data, the larger the index is, the closer the fitted curve is to the field control, and the higher the width precision is;
step two: extracting a portion of the collected data, e.g. X 0 Actual corresponding value W 0 If X is 0 Calculated Y 0 Satisfies the condition, | W 0 -Y 0 |<0.1, i is the function index, and Y1 ═ f (x) is the fitting function; through the repeated circulation of the step two, the deviation value of the width control is infinitely close to 0, namely the closer the width control is to the target value, the accuracy of the width control is increased;
step three: and if the condition of the step two is not met, repeating the step one and the step two after the step i is increased in number until the condition is met. The inverse is taken when the width compensation of the curve is performed, i.e. Y2-Y1-f (x).
As an improvement of the present invention, the step S2 of determining the strip steel width curve that needs to be optimized and compensated includes the following steps:
during width control, the ship-shaped curve does not appear in all the strip steel widths, and compensation after judgment is needed. Therefore, control can be realized in the rough rolling logic as early as possible, and the situation that the width-free control means is narrowed due to the loop after finish rolling is avoided. Moreover, by means of the pre-judgment, the following equipment control can be improved, and the finish rolling version control is ensured to be free from worry.
S21, screening and rolling the strip steel with the thickness less than a certain thickness, and extracting a width curve of the strip steel in the previous production process according to the steel type of the strip steel, the rough rolling set width, the rough rolling intermediate blank thickness, the decompression amount and the rolling thickness;
and S22, performing width judgment on the extracted curve, calculating the average value of the middle points, comparing the average value with the target width, narrowing the curve when the average value is less than 2-3 mm, and determining the curve as the strip steel needing optimized compensation.
As an improvement of the present invention, in step S3, the optimal compensation of the ship model is performed by a fitting formula, which is specifically as follows:
determining an object needing optimization compensation through the formula fitting and strip steel judgment, wherein the optimization compensation is realized through the following method:
because the main middle control is difficult and key, the head, the middle and the tail are required to be separated and are controlled one by one according to the curve values of the widths of the head, the middle and the tail, so that the ultra-wide control of the head and the tail can be avoided, and the phenomenon that the middle control is not in place can be avoided.
And S31, dividing the strip steel to be compensated into three sections in the length direction, wherein the three sections are respectively a head section, a middle section and a tail section. The dividing mode is that the whole length is divided into 40 points, 10 heads, 20 middle parts and 10 tails;
and S32, performing separate setting control on the three sections, keeping the head and tail settings unchanged, and performing optimized compensation on the middle setting.
S33, the curve after fitting is optimized and compensated as follows:
and the function Y2-Y1-f (x), wherein x is 0-20.
Compared with the prior art, the method has the advantages that the technical scheme effectively improves the precision of width control through the steps of data screening, data collection cycle fitting, three-section compensation and the like. The method also plays a good role in the practical production of the plum steel. Particularly, the data circulation fitting greatly improves the fitting precision by increasing the exponential control of a fitting function, and the realization of three-section type compensation separately controls the head, the middle and the tail, thereby creating the first case of domestic middle compensation.
The specific implementation mode is as follows:
in order to further understand the present invention, the following detailed description will be given with reference to the specific embodiments.
Example 1: a method for optimizing a boat profile of a hot rolled thin gauge strip, the method comprising the steps of:
s1, collecting middle width narrow data according to different thicknesses, and deducing an optimization compensation formula in a fitting mode; step S2, judging a strip steel width curve needing optimization compensation; and step S3, carrying out optimization compensation on the ship type through the fitted formula.
The method comprises the following specific steps:
s1, in the production process of hot rolling, the width control condition directly influences the quality and the price of the strip steel, the abnormal head and tail widths can be recycled in a flying shear cutting mode, if the middle widths are abnormal, the strip steel cannot be used, the loss is serious, and no good solution exists in the middle control at the present stage, so the method collects the data of the narrow middle widths according to different rolling thicknesses by improving the middle control, and deduces an optimized compensation formula in a fitting mode to ensure the quality of the strip steel.
S11, preliminary screening of data;
the production range of the strip steel of the hot rolling production line is wide, and the rolling thickness H 0 The production range is generally 1.3 mm-19.0 mm, and in the rolling process, the heating temperature of the strip steel, the rolling force of a rack, the width expansion and the like are different due to different thicknesses, so that the rolled width curves have great difference. Therefore, the production range of the thickness is classified according to the experience summarized in the production process and a large amount of rolling data analysis by carrying out fine control according to the thickness classification, and the classification table is as follows:
the tension setting and the width curve among the racks of the strip steel are counted, and the strip steel width curve with the thickness range smaller than 2.0 has the phenomena of narrow middle and wide two ends. In the prior art, the difference between the tilting height of two ends and the middle of the empty belly control condition of a piece of strip steel extracted in the production process reaches 5 mm. Width control of such steels is a major and difficult point in production. Moreover, since such steel is thin, the width is easily narrowed by the tension of the loop in the finish rolling area. Through early compensation in the rough rolling width control area, the narrowing can be effectively reduced.
S12, preliminary fitting of data
In order to improve the control precision, the strip steel with the thickness range smaller than 2.0mm is divided into three levels according to the thickness, the three levels of the thickness are respectively fitted, and the fitting method is to fit different width curves caused by different thicknesses.
The method comprises the following steps: during fitting, determining an index of a fitting function, and fitting a preliminary function Y1 ═ f (x) by using a function polyfit (x, w1, i) by collecting a width value w1 corresponding to a middle position x, wherein i represents the index and gradually increases from 1; compared with other fitting methods, the fitting method increases the index i, so that the index is completely adjusted according to field data, and the larger the index is, the closer the fitted curve is to the field control, and the higher the width precision is.
Step two: extracting collected partial data such as X 0 Actual corresponding value W 0 If X is 0 Calculated Y 0 Satisfies the condition, | W 0 -Y 0 |<0.1, i is the function index, Y1 ═ f (x) is the fitting function; by repeating the loop of step two, the deviation value of the width control is infinitely close to 0, that is, the accuracy of the width control is increased as the width control approaches the target value.
Step three: and if the condition of the step two is not met, repeating the step one and the step two after the step i is increased in number until the condition is met. Taking the inverse when the width compensation of the curve is carried out, namely Y2-Y1-f (x);
s2, judging a strip steel width curve needing to be optimized and compensated;
during width control, the ship-shaped curve does not appear in all the strip steel widths, and compensation after judgment is needed. Therefore, control can be realized in the rough rolling logic as early as possible, and the situation that no width control means is narrowed due to the loop after finish rolling is avoided. Moreover, the subsequent equipment control can be improved by a pre-judging mode, and the control of the finish rolling type is ensured to be free from worry;
s21, screening and rolling the strip steel with the thickness less than a certain thickness, and extracting a width curve of the strip steel in the previous production process according to the steel type of the strip steel, the set width of rough rolling, the thickness of a rough rolling intermediate blank, the decompression amount and the rolling thickness;
and S22, performing width judgment on the extracted curve, calculating the average value of the middle points, comparing the average value with the target width, narrowing the curve when the average value is less than 2-3 mm, and determining the curve as the strip steel needing optimized compensation.
S3, carrying out optimization compensation on the ship type through a fitting formula;
and determining an object needing optimization compensation through the formula fitting and strip steel judgment. The optimization compensation is carried out by the following method:
because the main middle control is difficult and key, the head, the middle and the tail are required to be separated and are controlled one by one according to the curve values of the widths of the head, the middle and the tail, so that the ultra-wide control of the head and the tail can be avoided, and the phenomenon that the middle control is not in place can be avoided.
And S31, dividing the strip steel to be compensated into three sections in the length direction, wherein the three sections are respectively a head section, a middle section and a tail section. The division mode is that the total length is divided into 40 points in average, 10 heads, 20 middle parts and 10 tails.
And S32, performing separate setting control on the three sections. The head and tail settings are kept unchanged, and the middle settings are optimized and compensated.
S33, the curve after fitting is optimized and compensated as follows:
the function Y2-Y1-f (x), wherein x is 0-20 ═ f (x)
Through the steps of data screening, data collection circular fitting, three-section compensation and the like of the method, the width control precision is effectively improved. The method also plays a good role in the practical production of the plum steel. Particularly, the data circulation fitting greatly improves the fitting precision by increasing the exponential control of a fitting function, and the realization of three-section type compensation separately controls the head, the middle and the tail, thereby creating the first case of domestic middle compensation.
The application example is as follows:
the deviation between the actual width and the target width of the hot-rolled strip steel is controlled within 2mm, and the strip steel meets the requirements. Before the process, the deviation of the strip steel with the thickness less than 2.0mm is at least more than 5mm, no good lifting means is provided, and the width control difficulty is extremely high.
The optimization method of the ship-shaped curve of the hot-rolled thin strip steel comprises the following steps:
s1, collecting data of narrow width of the middle part according to different rolling thicknesses, and deducing an optimization compensation formula in a fitting mode
The thickness of the produced strip steel is 1.3-9.0 mm, and the condition that two ends of the strip steel are wide and the middle part of the strip steel is narrow is generally concentrated in the strip steel with the thickness of less than 1.8 mm. The actual width data of the field is collected for screening analysis, and the data of the middle width curve is shown in the following table:
the curve optimization compensation formula is fitted according to the table as follows:
(1) thickness: 1.6mm < H0 [ < 1.8mm [ ]
Y2＝-Y1＝-f(x)＝-0.0222*X*X+0.4667*X-0.4444；
(2) Thickness: h0 ═ 1.6mm
Y2＝-Y1＝-f(x)＝-0.0444*X*X+0.9333*X-0.8889；
Case 1:
s2, judging that the strip width curve hot rolling in-situ rolling which needs the optimization compensation, and the strip 20342301800 rolling, the rolling thickness is 1.7, so the compensation is performed by using Y2 ═ -Y1 ═ -f (X) ═ -0.0222 ═ X +0.4667 × -0.4444. Find the corresponding classification information, as shown in the following table:
| categorizing items | SFC | WC | HC | REDU |
| Classification value | 1011 | 3 | 1 | 3 |
Finding out corresponding information 20176000900 of the previous strip steel, rolling data of the strip steel,
actual mean value in the middle of the curve: 1140.35mm
Target value: 1146.48mm
Deviation: -6.1mm
And (5) concluding that the deviation of the previous strip is overlarge, and the strip needs to be corrected when being rolled.
S3, carrying out optimization compensation on the ship type through a fitting formula
Determining the width of the strip steel needing optimization compensation through optimizing a compensation function:
Y supplement device ＝-0.0222*X*X+0.4667*X-0.4444；
Wherein X is 1-20, Y Supplement device For corresponding values, the final middle width setting data W In The following were used:
W in ＝W Eyes of a user +Y Supplement device ；
Wherein W is Eyes of a user Target width calculated for the beginning of the model
The values of the compensated curves are shown in the following table:
| X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Y supplement device | 0.0001 | 0.4002 | 0.7559 | 1.0672 | 1.3341 | 1.5566 | 1.7347 | 1.8684 | 1.9577 | 2.0026 |
| X | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| Y Supplement device | 2.0031 | 1.9592 | 1.8709 | 1.7382 | 1.5611 | 1.3396 | 1.0737 | 0.7634 | 0.4087 | 0.0096 |
After the compensation, the process is carried out,
actual mean value in the middle of the curve: 1147.22mm
Target value: 1146.48mm
Compared with the previous block, the width deviation is from-6.1 mm to-0.74 mm, the deviation range of the actual value and the target value is controlled within 1mm, and the control target is achieved
Case 2:
s2, judging that the rolling thickness is 1.5 when the strip steel 21789001400 is rolled in the hot rolling field of the strip steel width curve needing the optimization compensation, so that the Y2 is-Y1 (f) (X) is-0.0444 (X) X +0.9333 (X-0.8889); compensation is performed. Find the corresponding classification information, as shown in the following table:
| classification item | SFC | WC | HC | REDU |
| Classification value | 2002 | 4 | 1 | 4 |
Finding out the corresponding information 21789001300 of the previous rolling strip steel, the rolling data of the strip steel,
actual mean value in the middle of the curve: 1035.7mm
Target value: 1041.5mm
Deviation: -5.8mm
And (5) concluding that the deviation of the previous strip is overlarge, and the strip needs to be corrected when being rolled.
S3, carrying out optimization compensation on the ship type through a fitting formula
Determining the width of the strip steel needing the optimization compensation through optimizing a compensation function:
Y supplement device ＝-0.0444*X*X+0.9333*X-0.8889；
Wherein X is 1-20, Y Supplement device For corresponding values, the final middle width setting data W In The following were used:
W in (1) ＝W Eyes of a user +Y Supplement device ；
Wherein W is Eyes of a user Target width calculated for the beginning of the model
The values of the compensated curves are shown in the following table:
| X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Y supplement device | 0 | 0.8001 | 1.5114 | 2.1339 | 3.6676 | 3.1125 | 3.4686 | 3.7359 | 3.9144 | 4.0041 |
| X | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| Y Supplement device | 4.005 | 3.9171 | 3.7404 | 3.4749 | 3.1206 | 2.6775 | 2.1456 | 1.5249 | 0.8154 | 0.0171 |
After the compensation, the process of the present invention,
actual mean value in the middle of the curve: 1040.62 mm;
target value: 1041.5 mm;
compared with the previous block, the width deviation is from-5.8 mm to 0.88mm, and the deviation range of the actual value and the target value is controlled within 1mm to reach the control target.
It should be noted that the above-mentioned embodiments are not intended to limit the scope of the present invention, and all equivalent modifications and substitutions based on the above-mentioned technical solutions are within the scope of the present invention as defined in the claims.
Claims (2)
1. The optimization method of the ship-shaped curve of the hot-rolled thin strip steel is characterized by comprising the following steps of:
s1, collecting middle width narrow data according to different thicknesses, and deducing an optimization compensation formula in a fitting mode;
step S2, judging a strip steel width curve needing optimization compensation;
step S3, optimizing and compensating the ship type through a fitting formula;
step S1, collecting data of the width of the middle part according to the rolling thickness difference, and deriving an optimal compensation formula by fitting, specifically as follows:
s11, preliminary screening of data;
rolled thickness H of hot rolling production line 0 The production range is 1.3 mm-19.0 mm, and the strip steel width curve with the thickness range less than 2.0mm has the phenomena of narrow middle and wide two ends by counting the tension setting and the width curve among the racks of the strip steel; screening out the data with the thickness range less than 2.0mm,
s12, preliminary fitting of data;
according to the thickness grade, three grades of the thickness are respectively fitted, and the fitting method is that fitting is carried out according to different width curves caused by different thicknesses:
the method comprises the following steps: during fitting, determining an index of a fitting function, and fitting a preliminary function Y1 ═ f (x) by using a function polyfit (x, w1, i) by collecting a width value w1 corresponding to a middle position x, wherein i represents the index and is gradually increased from 1; compared with other fitting modes, the fitting method increases the index i, so that the index is completely adjusted according to field data, the larger the index is, the closer the fitted curve is to the field control, and the higher the width precision is;
step two: extracting the collected partial data X 0 Actual corresponding value W 0 If X 0 Calculated Y 0 Satisfies the condition, | W 0 -Y 0 |<0.1, i is the function index, and Y1 ═ f (x) is the fitting function; through the repeated circulation of the step two, the deviation value of the width control is infinitely close to 0, namely the closer the width control is to the target value, the accuracy of the width control is increased;
step three: if the condition of the step two is not met, the step i is increased progressively, and then the step one and the step two are repeated until the condition is met, and the inversion is carried out when the width compensation of the curve is carried out, namely Y2-Y1-f (x);
the step S2 of determining the strip steel width curve that needs to be optimized and compensated includes the following steps:
s21, screening and rolling the strip steel with the thickness less than a certain thickness, and extracting a width curve of the strip steel in the previous production process according to the steel type of the strip steel, the rough rolling set width, the rough rolling intermediate blank thickness, the decompression amount and the rolling thickness;
and S22, performing width judgment on the extracted curve, calculating the average value of the middle points, comparing the average value with the target width, narrowing the curve when the average value is less than 2-3 mm, and determining the curve as the strip steel needing optimized compensation.
2. The method for optimizing the ship-shaped curve of the hot-rolled thin gauge strip as claimed in claim 1, wherein the step S3 is to perform optimization compensation of the ship shape by a fitting formula, specifically as follows:
s31, dividing the strip steel to be compensated into three sections in the length direction, namely a head section, a middle section and a tail section, wherein the division mode is that the total length is divided into 40 points in average, 10 head sections, 20 middle sections and 10 tail sections;
s32, performing separate setting control on the three sections, keeping the head and tail settings unchanged, and performing optimized compensation on the middle setting;
s33, the curve after fitting is optimized and compensated as follows:
and the function Y2-Y1-f (x), wherein x is 0-20.
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