CN103272855B - A kind of method improving inlet of rolling mill thickness and precision in preset model calculates - Google Patents

A kind of method improving inlet of rolling mill thickness and precision in preset model calculates Download PDF

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CN103272855B
CN103272855B CN201310232071.XA CN201310232071A CN103272855B CN 103272855 B CN103272855 B CN 103272855B CN 201310232071 A CN201310232071 A CN 201310232071A CN 103272855 B CN103272855 B CN 103272855B
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thickness
inlet
pickling
steel
straightening
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CN103272855A (en
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高雷
陈丹
郭立伟
何绪铃
刘维兆
李书昌
王彦辉
余威
曹静
王琳
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Shougang Group Co Ltd
Beijing Shougang Automation Information Technology Co Ltd
Hebei Shougang Qianan Iron and Steel Co Ltd
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Shougang Corp
Beijing Shougang Automation Information Technology Co Ltd
Hebei Shougang Qianan Iron and Steel Co Ltd
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Abstract

In preset model calculates, improve a method for inlet of rolling mill thickness and precision, belong to the operation of rolling control technology field of cold continuous rolling.Propose when actual inlet of rolling mill thickness is different from incoming hot rolled slab thickness, consider that band steel rectifys the thinning and thinning impact on inlet of rolling mill thickness of pickling through pickling unit post-tensioning, point steel grade has added up straightening Reducing thickness under different straightening pattern and pickling Reducing thickness respectively, and be written with in preset model program, the inlet of rolling mill thickness used when preset model is calculated is more true, ensure that the precision of preset model.<!--1-->

Description

A kind of method improving inlet of rolling mill thickness and precision in preset model calculates
Technical field
The invention belongs to the operation of rolling control technology field of cold continuous rolling, specifically provide a kind of method improving inlet of rolling mill thickness and precision in preset model calculates.
Background technology
The computational accuracy of preset model, duty and level determine Yield and quality, lumber recovery, the cost and benefit of rolled products to a great extent.But be the embodiment of model system whole structure to the level of control of the operation of rolling, the disappearance of which link accuracy all can produce adverse influence to the overall control effects of model.
In general, initial data Raw thickness is the inlet of rolling mill thickness of band steel, but in actual Rolling Production process, comparatively big error is there is by the raw thickness in the thickness of the calibrator actual measurement before inlet of rolling mill and initial data, for the steel grade of some specific standards, this error is more remarkable.And preset model calculates the inlet of rolling mill thickness used is all the raw thickness come from initial data, because raw thickness and actual inlet of rolling mill thickness have error, this just makes the primary data of preset model inaccurate, and the precision for preset model certainly will produce harmful effect.Due to the corresponding different straightening pattern of different steel grades, percentage elongation in straightening process is not identical yet, and the pickling Reducing thickness of different steel grades is also not quite similar, this just needs according to actual conditions, steel grade is divided to carry out the different straightening Reducing thickness of statistical computation and pickling Reducing thickness, raw thickness in initial data is converted into more real inlet of rolling mill thickness, ensure that the accuracy of preset model initial value, improve preset model precision.
Summary of the invention
The object of the present invention is to provide a kind of method improving inlet of rolling mill thickness and precision in preset model calculates, ensure that the accuracy of preset model initial value, improve preset model precision.
The present invention proposes when actual inlet of rolling mill thickness is different from incoming hot rolled slab thickness, consider that band steel rectifys the thinning and thinning impact on inlet of rolling mill thickness of pickling through pickling unit post-tensioning, point steel grade has added up straightening Reducing thickness under different straightening pattern and pickling Reducing thickness respectively, and be written with in preset model program, the inlet of rolling mill thickness used when preset model is calculated is more true, ensure that the precision of preset model.Concrete technology step is as follows:
(1) consider withdrawal straightening machine weld seam by time pattern.According to different straightening patterns, obtain the straightening percentage elongation of different steel grade, and then by calculating the straightening Reducing thickness of different steel grade.Wherein:
Pattern 1 is continuous straightening, and percentage elongation is 3%, corresponding steel grade have straight carbon steel, tinplate, in the non-orientation silicon steel of the low trade mark;
Pattern 2 is unhappy on-mode, and percentage elongation is 0.5%, corresponding steel grade to be silicon content be 1.5% middle high grade non-oriented silicon steel;
Mode 3 is fast on-mode, and percentage elongation is 0%, corresponding steel grade to be silicon content be 2% middle high grade non-oriented silicon steel.
(2) the pickling Reducing thickness of band steel after overpickling is considered.Determine the actual Reducing thickness of pickling according to the in-site measurement thickness difference obtained before and after pickling, and by same procedure to different steel grades statistics, obtain the actual pickling Reducing thickness of different steel grade.Wherein, the non-orientation silicon steel pickling Reducing thickness of the low trade mark is 15um, and middle high grade non-oriented silicon steel pickling Reducing thickness is 25um, and the non-orientation silicon steel pickling Reducing thickness of the low trade mark is 5um;
(3) by considering that straightening is thinning and pickling is thinning to different steel grade, the computing formula according to hot rolling raw thickness H to inlet of rolling mill thickness H ' can be obtained, when preset model data initialization, inlet thickness after being calculated by optimized algorithm (inlet of rolling mill thickness=raw thickness-raw thickness × straightening percentage elongation-pickling Reducing thickness) writes the one-tenth-value thickness 1/10 of artificial input quantity, reach each coil and be automatically revised as accurate inlet thickness, also can not other functions that preset model calculates be had an impact simultaneously.Write by optimized algorithm in preset model calculation procedure, improve inlet of rolling mill thickness and precision, the inlet of rolling mill thickness making preset model used in the calculation is more true and reliable.
(4) actual inlet of rolling mill thickness H is collected to the different coil of strip of same steel grade awith the value of delta of the band steel inlet thickness H ' calculated according to optimized algorithm, and thickness difference is added up, respectively the mean value δ of calculated thickness difference avgwith variance δ avg.Then according to identical method, thickness difference mean value and the thickness difference variance of different steel grade is obtained.Analyze the thickness difference mean value calculated and thickness difference variance yields, if needed, carry out correction adjustment to inlet thickness optimized algorithm, the inlet thickness value during final preset model is calculated is more accurate.
The present invention is in preset model computational process, and the inlet of rolling mill thickness that calculating needs comes from the raw thickness in initial data.In actual production, by a relatively large margin thinning is there will be at sour rolling mill thickness after straightening and pickling with steel, there is relatively large deviation in the inlet of rolling mill thickness that now milling train actual entry thickness and preset model use in calculating, this makes preset model can not obtain inlet of rolling mill thickness accurately when calculating, and have impact on preset model computational accuracy.The present invention proposes a kind of method improving inlet of rolling mill thickness and precision in preset model calculates, the method not only considers different steel grade, different straightening pattern and the straightening Reducing thickness under whether there is the situations such as manual amendment's percentage elongation, and the pickling Reducing thickness after dividing steel grade to add up strip pickling.After considering that the thinning and pickling of straightening is thinning, preset model calculates the inlet of rolling mill thickness of needs closer to actual inlet of rolling mill thickness, and these computational methods are written with in corresponding preset model calculation procedure, make the initial value of preset model more true, ensure that the computational accuracy of preset model
Accompanying drawing explanation
Fig. 1 is the average of thickness deviation before raising inlet of rolling mill thickness and precision.
Fig. 2 is the mean square deviation of thickness deviation before raising inlet of rolling mill thickness and precision.
Fig. 3 is the average of thickness deviation after raising inlet of rolling mill thickness and precision.
Fig. 4 is the mean square deviation of thickness deviation after raising inlet of rolling mill thickness and precision.
Fig. 5 is inlet of rolling mill thickness and precision optimized algorithm flow chart.
Detailed description of the invention
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.
In preset model, improve the method for inlet of rolling mill thickness and precision, processing step is as follows:
Step one: before carrying out the amendment of inlet of rolling mill thickness, first real current situation is analyzed, inlet of rolling mill actual (real) thickness is obtained from inlet of rolling mill calibrator in rolling a period of time, first same steel grade different steel is calculated to the difference of actual inlet of rolling mill thickness and raw thickness, then the mean value of statistical thickness difference and variance yields.According to identical method, mean value and the variance yields of different steel grade thickness difference can be obtained.
Step 2: the pattern σ of withdrawal straightening machine when weld seam passes through ithere are three kinds: straightening σ continuously 1, unhappy on-mode σ 2, fast on-mode σ 3.According to scene actual rolling coil of strip situation, wherein, the steel grade that continuous straightening pattern is corresponding has SPHC, MRT4, SDC, S30, S60RC, S30Y; Steel grade corresponding to unhappy on-mode has S23; Steel grade corresponding to fast on-mode has S18.After determining straightening pattern, then determine straightening percentage elongation, at the scene during actual rolling, also need the situation considering manual amendment's percentage elongation, if there is manual amendment's percentage elongation, be then as the criterion with artificial input quantity.Percentage elongation does not have manual amendment, and the percentage elongation of acquiescence is: the percentage elongation that continuously straightening pattern is corresponding is 3%, and percentage elongation corresponding to unhappy on-mode is 0.5%, and percentage elongation corresponding to fast on-mode is 0%.
Step 3: consider the pickling Reducing thickness Δ of band steel after overpickling i.Determine the actual Reducing thickness of pickling according to the in-site measurement thickness difference obtained before and after pickling, and by same procedure to different steel grades statistics, obtain the actual pickling Reducing thickness Δ of different steel grade i.According to scene actual rolling coil of strip situation, wherein, steel grade S30Y pickling Reducing thickness is 15um, and steel grade S23 pickling Reducing thickness is 25um, and steel grade S60RC pickling Reducing thickness is 5um;
Step 4: by considering that straightening is thinning and pickling is thinning to different steel grade, the computing formula according to hot rolling raw thickness H to inlet of rolling mill thickness H ' can be obtained, when preset model data initialization, the inlet thickness that be have modified by optimized algorithm writes in the one-tenth-value thickness 1/10 of artificial input quantity, reach each coil and be automatically revised as accurate inlet thickness, also can not other functions that preset model calculates be had an impact simultaneously.Write by optimized algorithm in preset model calculation procedure, improve inlet of rolling mill thickness and precision, the inlet of rolling mill thickness making preset model used in the calculation is more true and reliable.Fig. 5 is the program flow diagram improving inlet of rolling mill thickness and precision.
Following formula shows a certain steel grade, under certain straightening pattern, considers the situation whether having manual amendment's percentage elongation, calculates inlet of rolling mill thickness H ' according to the raw thickness H in initial data.
&sigma; i = &sigma; 1 , &RightArrow; H 1 &prime; = H &CenterDot; ( 1 - &epsiv; a ) H &CenterDot; ( 1 - &epsiv; s ) &sigma; 2 &RightArrow; H 1 &prime; = H &CenterDot; ( 1 - &epsiv; a ) H &CenterDot; ( 1 - &epsiv; s ) &sigma; 3 &RightArrow; H 1 &prime; = H &CenterDot; ( 1 - &epsiv; a ) H &CenterDot; ( 1 - &epsiv; s )
H′=H′ 1i(i=S30Y,S23,S60RC)
Wherein H is the raw thickness in initial data, the inlet of rolling mill thickness of H ' calculating, H ' 1for intermediate variable, ε afor the percentage elongation manually inputted, ε sfor the percentage elongation of acquiescence, Δ ifor the pickling Reducing thickness of different steel grade, σ ifor withdrawal straightening machine weld seam by time several modes.
Step 5: after the method improving inlet of rolling mill thickness and precision is dropped into actual production, actual rolling a period of time, respectively to different steel grade according to method shown in step one, carry out adding up the actual entry thickness H that calibrator measures awith the value of delta of H ', and thickness difference is added up, respectively the mean value δ of calculated thickness difference avgwith mean square deviation δ stdev, and draw corresponding curve map.
Be analyzed for same steel grade S30Y, before not improving inlet of rolling mill thickness and precision, have chosen the data analysis of 50 coils of steel grade S30Y, Fig. 1-Fig. 2 is shown as mean value and the mean square deviation of the thickness difference before not carrying out inlet thickness amendment; After improving inlet of rolling mill thickness and precision, choose the data analysis of 77 coils of steel grade S30Y after rolling equally, Fig. 3-Fig. 4 is shown as the mean value and mean square deviation that have carried out the amended thickness difference of inlet thickness.As can be seen from the comparative analysis of above-mentioned figure, consider the thinning and pickling of straightening thinning after, the inlet of rolling mill thickness used in preset model not only precision improves greatly, and more steady, ensure that preset model calculate in the precision of primary data.

Claims (2)

1. in preset model calculate, improve a method for inlet of rolling mill thickness and precision, it is characterized in that: processing step is as follows:
(1) consider withdrawal straightening machine weld seam by time pattern: the straightening percentage elongation obtaining different steel grade according to different straightening patterns, and then by calculating the straightening Reducing thickness of different steel grade;
(2) consider the pickling Reducing thickness of band steel after overpickling: the actual Reducing thickness determining pickling according to the in-site measurement thickness difference obtained before and after pickling, and by same procedure to different steel grades statistics, obtain the actual pickling Reducing thickness of different steel grade;
(3) by considering that straightening is thinning and pickling is thinning to different steel grade, obtain the computing formula according to hot rolling raw thickness H to inlet of rolling mill thickness H ', when preset model data initialization, inlet thickness after being calculated by optimized algorithm is written in the one-tenth-value thickness 1/10 of artificial input quantity, reach each coil and be automatically revised as accurate inlet thickness, also can not other functions that preset model calculates be had an impact simultaneously; Optimized algorithm is: inlet of rolling mill thickness=raw thickness-raw thickness × straightening percentage elongation-pickling Reducing thickness;
(4) the different coil of strip of same steel grade is collected to the value of delta of actual inlet of rolling mill thickness Ha and the band steel inlet thickness H ' calculated according to optimized algorithm, and thickness difference is added up, the mean value δ of calculated thickness difference respectively avgwith variance yields δ stdev; Then according to identical method, thickness difference mean value and the thickness difference variance yields of different steel grade is obtained; The thickness difference mean value calculated and thickness difference variance yields are analyzed;
Described lagen obtains the straightening percentage elongation of different steel grade according to different straightening patterns, wherein,
Pattern 1 is continuous straightening, and percentage elongation is 3%, corresponding steel grade have straight carbon steel, tinplate, in the non-orientation silicon steel of the low trade mark;
Pattern 2 is unhappy on-mode, and percentage elongation is 0.5%, corresponding steel grade to be silicon content be 1.5% middle high grade non-oriented silicon steel;
Mode 3 is fast on-mode, and percentage elongation is 0%, corresponding steel grade to be silicon content be 2% middle high grade non-oriented silicon steel.
2. the method for claim 1, divide steel grade to measure and added up the pickling Reducing thickness of band steel after overpickling: wherein, in the non-orientation silicon steel pickling Reducing thickness of the low trade mark be 15um, middle high grade non-oriented silicon steel pickling Reducing thickness is 25um, and the non-orientation silicon steel pickling Reducing thickness of the low trade mark is 5um.
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CN107520255B (en) * 2017-09-26 2019-03-01 北京首钢自动化信息技术有限公司 A kind of self-learning type inlet of rolling mill thickness optimization method
CN109032097B (en) * 2018-08-28 2021-09-07 唐山钢铁集团有限责任公司 Cold-rolled strip steel galvanizing line process control method

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