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Method for online early warning of strip steel thickness deviation

A strip steel and deviation technology, applied in the direction of rolling mill control devices, metal rolling, manufacturing tools, etc., can solve the problems of large errors and lags in manual measurement, achieve timely feedback, solve large errors and lags in manual measurement, and achieve significant implementation effects Effect

Inactive Publication Date: 2019-12-10
武汉钢铁有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the above-mentioned technologies and provide an online warning method for strip thickness deviation, which not only solves the problems of large manual measurement errors and lags, but also eliminates the loss of continuous batches of steel strip thickness tolerance exceeding the standard and reducing waste

Method used

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  • Method for online early warning of strip steel thickness deviation
  • Method for online early warning of strip steel thickness deviation
  • Method for online early warning of strip steel thickness deviation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] figure 1 When the host speed v>100mpm, start to calculate and warn;

[0044] figure 2 The two curves are respectively the predicted value h of the strip thickness at the exit side 预 Measure the strip thickness h at the exit side 出 ; h 预 and h 出 The two curves are very close, and the steady speed stage fluctuates in the range of 0-3μm;

[0045] image 3 is the predicted value h of strip thickness at the exit side 预 Measure the strip thickness h from the exit side 出 The deviation curve of , that is, Δδ=h 预 -h 出 ;The Δδ curve is very straight, fluctuates in the range of 0-3μm in the steady speed stage, and fluctuates in the range of 0-8μm in the acceleration and deceleration stages, and the thickness is within the tolerance range; it can be judged that the thickness of the steel strip is normal;

[0046] Figure 4 It is the alarm curve, because the strip steel thickness control is normal, the alarm value display is always 0, and the curve is the 0 horizontal li...

Embodiment 2

[0048] Figure 5 When the host speed v>100mpm, start to calculate and warn;

[0049] Figure 6 The lower curve is the predicted value h of strip thickness at the exit side 预 , the upper curve is the measured strip thickness h at the exit side 出 ; h 预 and h 出 The two curves are far apart, with an interval of more than 23 μm;

[0050] Figure 7 is the predicted value h of strip thickness at the exit side 预 Measure the strip thickness h from the exit side 出 The deviation curve of , that is, Δδ=h 预 -h 出 ;The Δδ curve fluctuates greatly, fluctuates in the range of 19-22 μm in the steady speed stage, and fluctuates in the range of 18-26 μm in the acceleration and deceleration stages, which is far beyond the 5 μm thickness tolerance range as a whole; it can be determined that the thickness of the strip drifts;

[0051] Figure 8 It is an alarm curve. Because the strip thickness drifts and the control is abnormal, the alarm value is displayed as 1, and the curve is a column...

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Abstract

The invention discloses a method for online early warning of strip steel thickness deviation. The method for the online early warning of the strip steel thickness deviation includes: using a thicknessgauge for collecting data of the strip steel thickness measured on an exit side and the strip steel thickness measured on an entry side, calculating out a predicted value h<prediction> of the strip steel thickness on the exit side, comparing the predicted value h<prediction> of the strip steel thickness on the exit side with the strip steel thickness h<exit> measured on the exit side, and when the deviation Delta, equal to difference value between the h<prediction> and the h<exit>, exceeds the strip steel thickness tolerance range, sending out an alarm for the strip steel thickness h<exit> measured on the exit side. The method for the online early warning of the strip steel thickness deviation realizes online timely actual thickness prediction and early warning beforehand, is simple and easy to implement and timely in feedback, not only solves the problem that manual measurement is large in error and hysteretic, but also completely eradicates loss caused by waste generation when thickness tolerance of continuous batch steel strips exceeds standards, and is remarkable in implementation effect.

Description

technical field [0001] The invention relates to the technical field of cold-rolled strip steel rolling, in particular to an online warning method for thickness deviation of strip steel. Background technique [0002] The core task of the cold-rolled strip rolling process is to obtain high-precision cold-rolled sheets, and its thickness accuracy is a key indicator. With the advancement of automatic thickness control technology (AGC), the thickness accuracy of cold-rolled strip steel can reach 1.5-3 μm. Although the thickness accuracy has reached a relatively high level, there are still cases where the actual thickness of the steel strip in the length direction is ultra-thin or ultra-thick due to the ray drift of the thickness gauge. The measured thickness is thinner or thicker than indicated by the gage. When the deviation value of the two exceeds the tolerance range, the thickness of the steel strip will be unqualified and the waste product will be downgraded. [0003] The...

Claims

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Application Information

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IPC IPC(8): B21B38/00B21B37/16
CPCB21B37/165B21B38/00B21B2038/004B21B2261/04
Inventor 王朝磊黄晶朱永章马正强陆伟尹建国陈文聪
Owner 武汉钢铁有限公司
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