CN117483452A - Determination method for thickness fluctuation of hot rolled strip steel - Google Patents

Determination method for thickness fluctuation of hot rolled strip steel Download PDF

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Publication number
CN117483452A
CN117483452A CN202311488098.5A CN202311488098A CN117483452A CN 117483452 A CN117483452 A CN 117483452A CN 202311488098 A CN202311488098 A CN 202311488098A CN 117483452 A CN117483452 A CN 117483452A
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China
Prior art keywords
thickness
value
strip steel
thickness deviation
hot rolled
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CN202311488098.5A
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Inventor
秦红波
李晓刚
王映红
姚益江
吴玉霄
信晓兵
马一然
李子修
郑立康
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Tangshan Iron and Steel Group Co Ltd
HBIS Co Ltd Tangshan Branch
Hegang Leting Steel Co Ltd
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Tangshan Iron and Steel Group Co Ltd
HBIS Co Ltd Tangshan Branch
Hegang Leting Steel Co Ltd
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Priority to CN202311488098.5A priority Critical patent/CN117483452A/en
Publication of CN117483452A publication Critical patent/CN117483452A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B38/00Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B38/04Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring thickness, width, diameter or other transverse dimensions of the product
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B37/00Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/16Control of thickness, width, diameter or other transverse dimensions
    • B21B37/165Control of thickness, width, diameter or other transverse dimensions responsive mainly to the measured thickness of the product
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B38/00Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B2038/004Measuring scale thickness
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Metal Rolling (AREA)

Abstract

The invention relates to a method for judging thickness fluctuation of hot rolled strip steel, which comprises the steps of acquiring thickness deviation curve data based on strip steel length in real time, acquiring target thickness of the strip steel and preset evaluation standards when the thickness deviation curve acquisition of a finish rolling outlet thickness gauge is finished, wherein the preset evaluation standards are divided into three types, respectively adapting to different evaluation standards according to the target thickness of the strip steel, calculating an evaluation index reflecting the thickness fluctuation degree according to the thickness deviation curve data, comparing the evaluation index with the preset evaluation standard to judge, and alarming and recording position information in the strip steel length direction corresponding to the alarm when the value of the evaluation index exceeds the evaluation standard. The judging method can effectively and accurately judge the thickness fluctuation of the hot rolled strip steel, particularly the thickness fluctuation of the thin strip steel which is required to be subjected to cold rolling production, so that the abnormal thickness product is blocked in time in the process, and the serious risk of the product with severe thickness fluctuation flowing to the downstream process and the production stability of the downstream process is avoided.

Description

Determination method for thickness fluctuation of hot rolled strip steel
Technical Field
The patent application belongs to the technical field of hot rolling in the metallurgical industry, and particularly relates to a method for judging thickness fluctuation of hot rolled strip steel.
Background
In the technical field of hot rolling, thickness control accuracy is one of the most important product quality indexes, and the evaluation indexes of the thickness control accuracy generally comprise a thickness hit rate, an average value, a maximum value, a minimum value and a standard deviation, and the judgment of the thickness control effect of the product can be realized through the judgment of the evaluation indexes. However, thickness fluctuation of the hot rolled product, especially thickness fluctuation of a cold-system product which needs to be reprocessed in a cold rolling process, has a great influence on cold rolling production stability, serious thickness fluctuation even causes breakage of the cold rolling production, and very serious consequences are generated, the serious condition of thickness fluctuation cannot be accurately reflected only by means of the thickness evaluation index, abnormal thickness products cannot be blocked in time in the process, and the problem that the product flows to the downstream cold rolling process cannot be avoided.
Disclosure of Invention
The invention aims to provide a method for judging thickness fluctuation of hot rolled strip steel, which solves the defects that the thickness fluctuation of the hot rolled strip steel in the prior art cannot be accurately identified and judged, and further the production stability of a downstream process is affected.
In order to solve the problems, the invention adopts the following technical scheme:
a method for judging thickness fluctuation of hot rolled strip steel comprises the following steps:
s101, acquiring thickness deviation curve data based on strip steel length at a finish rolling outlet in real time; wherein, the thickness deviation curve data includes: thickness deviation and corresponding strip length;
s102, when the collection of the thickness deviation curve at the finish rolling outlet is finished, obtaining the target thickness of the strip steel and a preset evaluation standard, and calculating an evaluation index reflecting the thickness fluctuation degree according to the thickness deviation curve data; wherein, the evaluation index comprises: extreme value of thickness deviation, extreme difference of thickness deviation, and variation value of thickness deviation;
s103, comparing and judging the calculated value of the evaluation index with a preset evaluation standard, alarming when the value of the evaluation index exceeds the evaluation standard, and recording position information in the length direction of the strip steel corresponding to the alarm.
Further, in S101, thickness deviation curve data is collected in real time at the finish rolling outlet by a thickness gauge.
Further, in S102, the thickness deviation extremum is the maximum value of the absolute value of the thickness deviation; the thickness deviation range is the difference between the maximum value and the minimum value of the thickness deviation in the length range of the strip steel; the thickness deviation change value is obtained by subtracting the thickness deviation of the previous position from the thickness deviation of the 2 nd meter position.
Further, in S103, the preset evaluation criteria include three categories, wherein,
the first category is to reject the head and tail A 1 After the meter length, the extreme value of the thickness deviation is greater than S 1 The dimensions of the millimeter-scale of the material,wherein A is 1 The value range is 3-5,S 1 The value range is 0.05-0.15;
the second type is to reject the head and tail A 2 After the meter length, the thickness variation value of continuous 2 meters exceeds the target thickness by +/-0.5 percent, or the thickness deviation extreme value exceeds S in each L meters 2 Millimeter, wherein A 2 The value range is 15-25, the value range of L is 5-15, S 2 The value range is 0.03-0.08;
the third category is the head and tail of strip steel A 1 ~A 2 Within the meter range, the thickness deviation variation value of continuous 2 meters exceeds +/-1% of the target thickness;
the preset evaluation standards are respectively set according to the target thickness of the strip steel and are divided into three thickness layers with the target thickness less than or equal to 6.0mm, the target thickness less than or equal to 6.0mm and less than or equal to 13.0mm, and the target thickness more than or equal to 13.0 mm.
Further, when the target thickness is less than or equal to 6.0mm, the head and tail A is removed from the first class evaluation standard 1 Rice A 1 The value range is 3-5,S 1 The range is 0.05 to 0.15; eliminating head and tail A in the second class evaluation standard 2 Length of meters, A 2 The value range is 15-25, the value range of L is 5-15, S 2 The value range is 30-80; the third type of evaluation standard is that the thickness deviation variation value of continuous 2 meters exceeds +/-1% of the target thickness within the range of 3-20 meters from the head to the tail of the strip steel.
Further, preferably A 1 Is 4, S 1 0.10, A 2 20, L is 10, S 2 50.
Further, when the target thickness is more than 6.0mm and less than or equal to 13.0mm, only the first type of evaluation criteria are used, and the head and tail A is removed from the first type of evaluation criteria 1 Rice A 1 The value range is 3-5,S 1 The value range is 0.05-0.15.
Further, preferably A 1 Is 4, S 1 0.1.
Further, when the target thickness is more than 13.0mm, only the first type of evaluation criteria are used, and the head and tail A is removed from the first type of evaluation criteria 1 Rice A 1 The value range is 3-5,S 1 Value rangeThe circumference is 0.05 to 0.15.
Further, preferably A 1 Is 3, S 1 0.1.
Due to the adoption of the technical scheme, the beneficial effects obtained by the invention are as follows:
according to the method for judging the thickness fluctuation of the hot rolled strip steel, provided by the invention, the thickness deviation curve data based on the strip steel length is acquired in real time, the target thickness of the strip steel and the preset evaluation standard are acquired when the thickness deviation curve acquisition of the finish rolling outlet thickness meter is finished, wherein the preset evaluation standard is divided into three types, different evaluation standards are respectively adapted to the target thickness of the strip steel, the evaluation index reflecting the thickness fluctuation degree is calculated according to the thickness deviation curve data, the evaluation index is compared with the preset evaluation standard to judge, and when the value of the evaluation index exceeds the evaluation standard, an alarm is given, and the position information of the strip steel corresponding to the alarm in the length direction is recorded.
The method for judging the thickness fluctuation of the hot rolled strip steel can effectively and accurately judge the thickness fluctuation of the hot rolled strip steel, particularly the thickness fluctuation of the thin strip steel which is required to be subjected to cold rolling production, so that the abnormal thickness product is blocked in time in the process, the product with severe thickness fluctuation is prevented from flowing to the downstream process, and serious risks are brought to the production stability of the downstream process.
Drawings
FIG. 1 is a flow chart of a method for judging thickness fluctuation of hot rolled strip steel according to an embodiment of the invention.
FIG. 2 is a graph showing thickness deviation of a hot rolled strip based on strip length according to an embodiment of the present invention.
FIG. 3 is a diagram showing a judgment alarm for thickness fluctuation of hot rolled strip steel provided by the embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
The present invention will be described more fully hereinafter with reference to the accompanying drawings, in order to enable those skilled in the art to practice the invention fully without the need for inventive faculty.
Referring to fig. 1, an embodiment of the present invention provides a method for determining thickness fluctuation of hot rolled strip steel, comprising the following steps:
and 101, acquiring thickness deviation curve data based on the length of the strip steel in real time.
Wherein, the thickness deviation curve data includes: thickness deviation and corresponding strip length.
Wherein the thickness deviation curve acquisition frequency is once acquired per meter.
And 102, acquiring the target thickness of the strip steel and a preset evaluation standard when the thickness deviation curve acquisition of the finish rolling outlet thickness gauge is finished, and calculating an evaluation index reflecting the thickness fluctuation degree according to the thickness deviation curve data.
Wherein, the evaluation index comprises: extreme thickness deviation, and variation value of thickness deviation. The thickness deviation extremum is the maximum value of the thickness deviation absolute value; the thickness deviation range is the difference between the maximum value and the minimum value of the thickness deviation in the length range of the strip steel; the thickness deviation change value is obtained by subtracting the thickness deviation of the previous position from the thickness deviation of the 2 nd meter position.
Wherein the preset evaluation criteria include 3 classes, the first class is to eliminate the head and tail A 1 After the meter length, the extreme value of the thickness deviation is greater than S 1 Millimeter, wherein A 1 The value range is 3-5,S 1 The value range is 0.05-0.15; the second type is to reject the head and tail A 2 After the meter length, the thickness variation value of continuous 2 meters exceeds the target thickness by +/-0.5 percent, or the thickness deviation extreme value exceeds S in each L meters 2 Millimeter, wherein A 2 The value range is 15-25, the value range of L is 5-15, S 2 The value range is 0.03-0.08; the third category is the head and tail of strip steel A 1 ~A 2 Within the meter range, the variation of thickness deviation of 2 meters continuously exceeds +/-1% of the target thickness.
The preset evaluation standards are respectively set according to the target thickness of the strip steel and are divided into three thickness layers with the target thickness less than or equal to 6.0mm, the target thickness less than or equal to 6.0mm and less than or equal to 13.0mm, and the target thickness more than or equal to 13.0 mm.
When the target thickness is less than or equal to 6.0mm, the first stepEliminating head and tail A in one class of evaluation criteria 1 Rice A 1 The value range is 3-5, preferably A 1 Is 4, S 1 In the range of 0.05 to 0.15, preferably S 1 0.1; the head and tail of the elimination in the second class standard A 2 Length of meters, A 2 A value in the range of 15 to 25, preferably A2 is 20, a value in the range of 5 to 15, preferably L is 10, S 2 The value range is 0.03 to 0.08, preferably S 2 Bit 0.05; the third type of standard is that the thickness deviation variation value of continuous 2 meters exceeds +/-1% of the target thickness within the range of 3-20 meters from the head to the tail of the strip steel.
When the target thickness is in the range between 6.0mm and 13.0mm, namely 6.0mm < target thickness is less than or equal to 13.0mm, only the first type of evaluation criteria are used, and the head and tail A is removed from the first type of evaluation criteria 1 Rice A 1 The value range is 3-5, preferably A 1 Is 4, S 1 In the range of 0.05 to 0.15, preferably S 1 0.1.
When the target thickness is larger than 13.0mm, namely the target thickness is larger than 13.0mm, only the first type of evaluation standard is used, and the head and tail A is removed from the first type of evaluation standard 1 Rice A 1 The value range is 3-5, preferably A 1 Is 3, S 1 In the range of 0.05 to 0.15, preferably S 1 0.1.
And 103, comparing and judging the calculated evaluation index value with a preset evaluation standard, alarming when the evaluation index value exceeds the evaluation standard, and recording position information in the length direction of the strip steel corresponding to the alarm.
According to the method for judging the thickness fluctuation of the hot rolled strip steel, provided by the invention, the thickness deviation curve data based on the strip steel length is acquired in real time, the target thickness of the strip steel and the preset evaluation standard are acquired when the thickness deviation curve acquisition of the finish rolling outlet width meter is finished, wherein the preset evaluation standard is divided into three types, different evaluation standards are respectively adapted to the target thickness of the strip steel, the evaluation index reflecting the thickness fluctuation degree is calculated according to the thickness deviation curve data, the evaluation index is compared with the preset evaluation standard to judge, and when the value of the evaluation index exceeds the evaluation standard, an alarm is given, and the position information of the strip steel corresponding to the alarm in the length direction is recorded. The method for judging the thickness fluctuation of the hot rolled strip steel can effectively and accurately judge the thickness fluctuation of the hot rolled strip steel, particularly the thickness fluctuation of the thin strip steel which is required to be subjected to cold rolling production, so that the abnormal thickness product is blocked in time in the process, the product with severe thickness fluctuation is prevented from flowing to the downstream process, and serious risks are brought to the production stability of the downstream process.
The technical solution of this embodiment is further described below by a typical application example: a certain hot rolling production line produces W780 grade hot rolled strip steel A with the target thickness of 3.0mm, a thickness gauge is arranged at a finish rolling outlet to collect real-time thickness deviation data of the strip steel thickness, and the collection frequency of a thickness deviation curve is once collected every meter.
When the thickness deviation curve is collected by the finish rolling outlet thickness gauge, obtaining a target thickness of the strip steel and a preset evaluation standard, wherein the target thickness of the strip steel is 3.0mm, the preset evaluation standard is respectively set according to the target thickness of the strip steel, and the target thickness is less than or equal to 6.0mm, so the preset evaluation standard comprises three types, wherein the first type of evaluation standard is that the extreme value of the thickness deviation is more than 0.1mm after the head and tail of the strip steel are removed by 3 meters; the second type of evaluation standard is that after the head and tail of 20 meters are removed, the thickness variation value of continuous 2 meters exceeds +/-0.5% of the target thickness, namely 3.0mm (0.5%) = ± 0.015mm; the third type of evaluation criteria is that the variation value of the thickness deviation of 2 meters in succession exceeds ±1% of the target thickness, i.e. 3.0mm (±1%) = ±0.030mm, in the range of 3 to 20 meters from the head to the tail.
The thickness deviation of band steel A is 850, and is marked as t 0, t 1, t 2, … … and t 849, and the corresponding band steel length positions are 0m, 1m, 2m, … … and 849m.
Firstly, judging a first class of evaluation criteria, wherein the first class of evaluation criteria is that the head and tail A is removed 1 After the meter length, the extreme value of the thickness deviation is greater than S 1 Millimeter. In this example A 1 Is 3m, S 1 0.1mm, so that 3m from the head to the tail is removed, namely t 3 is judged in turn]~t[846]Whether the absolute value of the data is larger than 0.1mm or not, no data sampling points exceeding the evaluation standard are found, and the first class of the evaluation standard judges that the data is qualified。
Secondly, judging a second class of evaluation criteria, wherein the second class of evaluation criteria is that the head and tail A are removed 2 After the meter length, the thickness variation value of continuous 2 meters exceeds the target thickness by +/-0.5 percent, or the thickness deviation extreme value exceeds S in each L meters 2 Millimeter. In this example A 2 20 m, L is 10 m, S 2 Is 0.05mm, so that firstly, the thickness deviation data of the head and tail of the elimination is sampled to be t 20]~t[829]Sequentially judging in the range, if the continuous 2 data sampling points are larger than 0.015mm or the continuous 2 data sampling points are smaller than-0.015 mm, judging disqualification by the second type of evaluation criteria, and sequentially judging, wherein the data sampling points t [240 ]]=0.0316mm、t[241]=0.0126mm、t[242]= -0.0255mm, the variation values are t [241 ] respectively]-t[240]=-0.019mm<-0.015mm、t[242]-t[241]The method comprises the steps that = -0.0381mm < -0.015mm, the sampling point of the data meeting continuous 2-point is smaller than-0.015 mm, the second class of evaluation standard is judged to be unqualified, and thickness fluctuation of which the continuous 2 meters is smaller than 15 micrometers (0.5%) exists at 242 meters of positions corresponding to alarm and corresponding defect occurrence; secondly, judging whether the extreme value of thickness deviation in every 10 meters exceeds 0.05mm by removing the head and tail 20 meters, namely, sampling the point t 20 from the thickness deviation data]~t[829]Within the range, the thickness deviation extremum is calculated every 10 consecutive sampling points and compared with 0.05mm, where t 819]~t[829]Within 10 meters of (C), a maximum of t 829]= 0.0529mm, minimum t [819 ]]= -0.0046mm, calculated thickness deviation extremum = maximum t [829 ]]-minimum value t [819 ]]The second type of evaluation criteria was judged as failed, and the positions 819 m-829 m corresponding to the alarm and to the occurrence of the corresponding defects were recorded with thickness fluctuations exceeding 50 μm.
Further, judging a third type of evaluation standard, wherein the third type of evaluation standard is strip steel head and tail A 1 ~A 2 Within the meter range, the variation of thickness deviation of 2 meters continuously exceeds +/-1% of the target thickness. In this example A 1 3m, A 2 For 20 meters, ±1% = 3mm (±1%) = ±0.03mm of target thickness, thus sampling the thickness deviation at the point t [3 ] respectively]~t[20]And t [829]~t[846]In the range, whether 2 continuous data sampling points are larger than 0.03mm or 2 continuous data sampling points are judgedThe data sampling points are smaller than-0.03 mm, and through the judgment, no thickness deviation sampling points meeting the conditions are found, and the third class of evaluation criteria are judged to be qualified.
And finally, storing all the judging results.
FIG. 2 is a graph of thickness deviation of a hot rolled strip based on strip length, which is the difference between the measured thickness value and the target thickness, according to an embodiment of the present invention.
FIG. 3 is a diagram showing a judgment alarm of thickness fluctuation of a hot rolled strip provided by the embodiment of the invention, which is based on the method for judging thickness fluctuation of the hot rolled strip provided by the invention, so that the thickness fluctuation of the hot rolled strip is judged, and a thickness fluctuation result is output.
According to the method for judging the thickness fluctuation of the hot rolled strip steel, provided by the invention, the thickness deviation curve data based on the strip steel length is acquired in real time, the target thickness of the strip steel and the preset evaluation standard are acquired when the thickness deviation curve acquisition of the finish rolling outlet width meter is finished, wherein the preset evaluation standard is divided into three types, different evaluation standards are respectively adapted to the target thickness of the strip steel, the evaluation index reflecting the thickness fluctuation degree is calculated according to the thickness deviation curve data, the evaluation index is compared with the preset evaluation standard to judge, and when the value of the evaluation index exceeds the evaluation standard, an alarm is given, and the position information of the strip steel corresponding to the alarm in the length direction is recorded.
The method for judging the thickness fluctuation of the hot rolled strip steel can effectively and accurately judge the thickness fluctuation of the hot rolled strip steel, particularly the thickness fluctuation of the thin strip steel which is required to be subjected to cold rolling production, so that the abnormal thickness product is blocked in time in the process, the product with severe thickness fluctuation is prevented from flowing to the downstream process, and serious risks are brought to the production stability of the downstream process.
Finally, it should be noted that the above-mentioned embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same, and although the present invention has been described in detail with reference to examples, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention, and all such modifications and equivalents are intended to be encompassed in the scope of the claims of the present invention.
While the preferred embodiments of the present invention have been described above, it should be noted that the present invention is not limited to the above-described specific embodiments, wherein the apparatus and structures not described in detail should be understood as being implemented in a common manner in the art; any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention will fall within the scope of the technical solution of the present invention, without departing from the scope of the technical solution of the present invention.

Claims (10)

1. A method for judging thickness fluctuation of hot rolled strip steel is characterized by comprising the following steps:
s101, acquiring thickness deviation curve data based on strip steel length at a finish rolling outlet in real time; wherein, the thickness deviation curve data includes: thickness deviation and corresponding strip length;
s102, when the collection of the thickness deviation curve at the finish rolling outlet is finished, obtaining the target thickness of the strip steel and a preset evaluation standard, and calculating an evaluation index reflecting the thickness fluctuation degree according to the thickness deviation curve data; wherein, the evaluation index comprises: extreme value of thickness deviation, extreme difference of thickness deviation, and variation value of thickness deviation;
s103, comparing and judging the calculated value of the evaluation index with a preset evaluation standard, alarming when the value of the evaluation index exceeds the evaluation standard, and recording position information in the length direction of the strip steel corresponding to the alarm.
2. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 1, wherein: in S101, thickness deviation curve data are collected in real time at a finish rolling outlet through a thickness gauge.
3. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 1, wherein: in S102, the thickness deviation extremum is the maximum value of the thickness deviation absolute value; the thickness deviation range is the difference between the maximum value and the minimum value of the thickness deviation in the length range of the strip steel; the thickness deviation change value is obtained by subtracting the thickness deviation of the previous position from the thickness deviation of the 2 nd meter position.
4. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 1, wherein: in S103, the preset evaluation criteria include three types, wherein,
the first category is to reject the head and tail A 1 After the meter length, the extreme value of the thickness deviation is greater than S 1 Millimeter;
the second type is to reject the head and tail A 2 After the meter length, the thickness variation value of continuous 2 meters exceeds the target thickness by +/-0.5 percent, or the thickness deviation extreme value exceeds S in each L meters 2 Millimeter;
the third category is the head and tail of strip steel A 1 ~A 2 Within the meter range, the thickness deviation variation value of continuous 2 meters exceeds +/-1% of the target thickness;
the preset evaluation standards are respectively set according to the target thickness of the strip steel and are divided into three thickness layers with the target thickness less than or equal to 6.0mm, the target thickness less than or equal to 6.0mm and less than or equal to 13.0mm, and the target thickness more than or equal to 13.0 mm.
5. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 4, wherein: when the target thickness is less than or equal to 6.0mm, eliminating the head and tail A in the first class evaluation standard 1 Rice A 1 The value range is 3-5,S 1 The range is 0.05 to 0.15; eliminating head and tail A in the second class evaluation standard 2 Length of meters, A 2 The value range is 15-25, the value range of L is 5-15, S 2 The value range is 30-80; the third type of evaluation standard is that the thickness deviation variation value of continuous 2 meters exceeds +/-1% of the target thickness within the range of 3-20 meters from the head to the tail of the strip steel.
6. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 5, wherein: a is that 1 Is 4, S 1 0.10, A 2 20, L is 10, S 2 50.
7. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 4, wherein: when the target thickness is more than 6.0mm and less than or equal to 13.0mm, only using a first type of evaluation standard, wherein the head and tail A is removed from the first type of evaluation standard 1 Rice A 1 The value range is 3-5,S 1 The value range is 0.05-0.15.
8. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 7, wherein: a is that 1 Is 4, S 1 0.1.
9. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 4, wherein: when the target thickness is more than 13.0mm, only a first type of evaluation standard is used, and the head and tail A is removed from the first type of evaluation standard 1 Rice A 1 The value range is 3-5,S 1 The value range is 0.05-0.15.
10. The method for determining thickness fluctuation of a hot rolled steel strip according to claim 9, wherein: a is that 1 Is 3, S 1 0.1.
CN202311488098.5A 2023-11-09 2023-11-09 Determination method for thickness fluctuation of hot rolled strip steel Pending CN117483452A (en)

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Application Number Priority Date Filing Date Title
CN202311488098.5A CN117483452A (en) 2023-11-09 2023-11-09 Determination method for thickness fluctuation of hot rolled strip steel

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