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Roller heat convex degree learning mathematical model optimizing method for improving CSP product quality

A mathematical model and optimization method technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of large difference in thermal crown value of rolls, poor shape quality at the head and tail of the strip, and poor shape quality. Difficult to guarantee and other problems, to achieve the effect of enhancing stability and improving quality

Inactive Publication Date: 2008-04-09
GUANGZHOU PEARL RIVER STEEL & IRON
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the changes in the production rhythm of single and double streams and the ratio of rolling specifications, the parameters of the thermal crown mathematical model of the original roll cannot meet the production needs, and there is a large difference between the roll thermal crown value calculated by the model and the calculated value, resulting in strip head The shape quality of the head and tail is poor, and it is difficult to guarantee the shape quality of strip products with a thickness of ≤2.0mm, which seriously affects the production of high-proportion thin-gauge hot-rolled sheets

Method used

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  • Roller heat convex degree learning mathematical model optimizing method for improving CSP product quality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Embodiment 1 comprises the steps:

[0023] (1) The first is single-stream production, and the parameter values ​​of the thermal crown mathematical model of the rolls selected for each stand are shown in Table 4.

[0024] Table 4 Parameter values ​​of the thermal crown mathematical model of each stand roll

[0025] rack

[0026] (2) After a period of time, single-stream production is transformed into dual-stream production, and the parameter values ​​of the mathematical model of roll thermal crown selected by each stand are automatically converted from single-stream data to dual-stream data, and the parameter values ​​of the mathematical model of roll thermal crown converted by each stand As shown in Table 5.

[0027] Table 5 Parameter values ​​of the thermal crown mathematical model of each stand roll

[0028] rack

[0029] In Example 1, the rolling steel type is SPA-H, the specification is 1.6×1180mm, the weight of a single coil is 20 tons, and th...

Embodiment 2

[0030] Embodiment 2 is another embodiment of the present invention, and the relevant differences between this embodiment and Embodiment 1 specifically include the following aspects:

[0031] (1) The first is double-stream production, and the parameter values ​​of the thermal crown mathematical model of the rolls selected for each stand are shown in Table 6.

[0032] Table 6 Parameter values ​​of the thermal crown mathematical model of each stand roll

[0033] rack

[0034] (2) After a period of time, the double-stream production is transformed into single-stream production, and the parameter values ​​of the mathematical model of roll thermal crown selected by each stand are automatically converted from dual-stream data to single-stream data, and the parameter values ​​of the mathematical model of roll thermal crown converted by each stand are As shown in Table 7.

[0035] Table 7 Parameter values ​​of the thermal crown mathematical model of each stand roll

[0036]...

Embodiment 3

[0038] Embodiment 3 is the 3rd embodiment of the present invention, and the relevant difference in this embodiment and embodiment 1 and embodiment 2 specifically includes the following aspects:

[0039] (1) The first is double-stream production, and the parameter values ​​of the thermal crown mathematical model of the rolls selected for each stand are shown in Table 8.

[0040] Table 8 Parameter values ​​of the thermal crown mathematical model of each stand roll

[0041] rack

[0042] (2) After a period of time, the double-stream production is transformed into single-stream production, and the parameter values ​​of the mathematical model of roll thermal crown selected by each stand are automatically converted from dual-stream data to single-stream data, and the parameter values ​​of the mathematical model of roll thermal crown converted by each stand are As shown in Table 11.

[0043] Table 9 Parameter values ​​of the thermal crown mathematical model of each stand r...

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Abstract

The invention discloses a roll-thermal-crown mathematical-model optimization method for improving CSP product quality. The method uses two sets of data for the thin-slab continuous casting and rolling flow of the single and the double flow production and for all frame roll-thermal-crown mathematical-model parameters in a flatness control system of a plate mill, and is able to automatically distinguish and select according to the single and the double flow production, and then under the single or the double flow production state, the calculated value and the actual value of roll thermal crown are relatively identical, acquiring strips of the improved quality, enhancing production efficiency and rolling yield, and boosting high-proportion thin-gauge hot rolling plate production.

Description

technical field [0001] The invention relates to a method for optimizing a roll thermal crown mathematical model for improving the product quality of CSP (Compact Strip Production Process). Background technique [0002] In order to improve strip shape quality, increase productivity and yield, traditional hot rolling and thin slab continuous casting and rolling processes generally add a shape control system to the rolling mill. Since the thermal expansion crown of the roll cannot be measured online, the flatness control system calculates it through the thermal crown calculation model of the roll. The deviation between the thermal crown value calculated by the model and the actual value will directly affect the rolling stability and strip shape quality. [0003] Roll thermal crown is closely related to production rhythm, cooling water volume and water temperature, rolling specifications, roll material, etc. The thermal crown mathematical model parameters of the rolls in the s...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 林育耿侯宇建童红飞
Owner GUANGZHOU PEARL RIVER STEEL & IRON