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Data sampling method for improving finish rolling setting calculation

A technology of data sampling and finishing rolling, applied in calculation, design optimization/simulation, computer-aided design, etc., can solve problems affecting rolling stability and yield, rolling force deviation, large speed deviation, etc., to avoid precision The effect of low precision of rolling setting, ensuring model parameters and control stability, and ensuring accuracy

Pending Publication Date: 2022-05-31
TANGSHAN IRON & STEEL GROUP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the large changes in the thickness and length of the intermediate billet, the shape of the head and the temperature trend are also different, when the temperature sampling value at the same position is used for the calculation of the finishing rolling setting, the deviation of the rolling force and speed is large, resulting in strip The thickness of the finished product and the temperature at the exit of finishing rolling deviate greatly from the target, which affects rolling stability and yield

Method used

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  • Data sampling method for improving finish rolling setting calculation
  • Data sampling method for improving finish rolling setting calculation
  • Data sampling method for improving finish rolling setting calculation

Examples

Experimental program
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Effect test

Embodiment 1

[0032] Configure the data sampling delay length L in a hot rolling production line 1 1.0m, L 2 1.5m, L 3 2.0m, L 4 Bit 2.2m, data sampling length L scan1.0m; thickness critical value H 1 4.0mm, H 2 8.0mm, H 3 12.0mm. When the target thickness is 2.0mm, and the steel grade is SPHC, the temperature data of the head of the intermediate billet needs to be sampled when the finish rolling setting is calculated.

[0033] The target thickness of the product is 2.0mm, which is less than the thickness critical value H1. Calculate the data sampling delay length L=L1, that is, 1.0m. The start position of the data sampling window is 1.0m at the head, and the end position is L+L scan = 2.0m, that is, the data sampling window is the area between 1.0m and 2.0m at the head of the intermediate billet of the rolled piece. The data sampling period is sampling once every 0.1 meters, and a total of 11 sampling values ​​are obtained in the data sampling window, that is, n=11, and the samplin...

Embodiment 2

[0040] Configure the data sampling delay length L in a hot rolling production line 1 1.0m, L 2 1.2m, L 3 1.5m, L 4 1.8m, L 5 2.0m, data sampling length L scan 1.1m; thickness critical value H 1 3.0mm, H 2 6.0mm, H 3 9.0mm, H 4 12.0mm. When the target thickness is 4.5mm, and the steel grade is SDC01, the temperature data sampling of the head of the intermediate billet needs to be sampled when the finish rolling setting calculation is performed.

[0041] The target thickness of the product is 4.5mm, which is greater than the thickness threshold H 1 , and less than the thickness critical value H 2 , calculate the data sampling delay length L=L 2 , that is, 1.2m, the start position of the data sampling window is 1.2m at the head, and the end position is L+L scan = 2.3m, that is, the data sampling window is the area between 1.2m and 2.3m at the head of the middle billet of the rolled piece. The data sampling period is sampling once every 0.1 meters, and a total of 12 s...

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Abstract

The invention discloses a data sampling method for improving finish rolling setting calculation, and belongs to the technical field of hot rolling methods. According to the technical scheme, N sampling starting delay lengths L1-LN, corresponding N-1 thickness layer critical values H1-HN-1 and a data continuous sampling length LSCAN are configured in a model configuration file and used for obtaining a data sampling window; and data sampling and calculation are carried out according to the data sampling window, and a data calculation value is used for finish rolling setting calculation. According to the method, new equipment and tools do not need to be arranged and added, existing control logic and control parameters are transformed, different data sampling delay lengths are configured according to the target thickness of the rolled piece, the situation that the precision rolling setting precision is low due to poor head temperature data of intermediate billets of the rolled pieces of different specifications is avoided, and the precision rolling precision is improved. Model parameters and control stability during stable production control are realized; different data sampling windows are used under different conditions, the precision of finish rolling setting calculation is guaranteed, and model parameters and control stability are guaranteed.

Description

technical field [0001] The invention relates to a data sampling method for improving the calculation of finish rolling settings, and belongs to the technical field of hot rolling methods. Background technique [0002] In the field of hot rolling technology, the finishing rolling model needs to collect the actual temperature of the head, middle and tail of the intermediate billet to calculate the rolling force, roll gap, speed and other parameters at the corresponding positions. The accuracy of temperature sampling directly affects the design of the finishing rolling model. Determine the calculation accuracy. Since the accuracy of the setting results of the strip head directly affects whether the strip can be successfully threaded in the finishing mill, and also affects the process parameters such as the thickness and width of the finished strip, the position of the head of the intermediate billet Whether the temperature sampling is scientific and accurate is particularly im...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F119/08
CPCG06F30/20G06F2119/08Y02P90/02
Inventor 秦红波李晓刚崔树杰刘光李成成张再兴陈彤唐凤敏秦建伟
Owner TANGSHAN IRON & STEEL GROUP
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