A self-learning based tail tracking method for reversing roughing mill

A self-learning, roughing mill technology, used in rolling mill control devices, metal rolling, metal rolling, etc., can solve the problems of difficult tail tracking, large spacing, entry speed deviation, etc., to reduce daily maintenance work and system reliability. High, improve the effect of stability

A self-learning, roughing mill technology, used in rolling mill control devices, metal rolling, metal rolling, etc., can solve the problems of difficult tail tracking, large spacing, entry speed deviation, etc., to reduce daily maintenance work and system reliability. High, improve the effect of stability

CN108906892BActive Publication Date: 2019-11-08北京科技大学设计研究院有限公司

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  • A self-learning based tail tracking method for reversing roughing mill
  • A self-learning based tail tracking method for reversing roughing mill
  • A self-learning based tail tracking method for reversing roughing mill

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] A self-learning-based reversible roughing mill rolling stock tail tracking method, the specific implementation steps are as follows:

[0047] Step 1: In the first pass, the thickness H, width W, and length L of the incoming slab are used to calculate the total volume V of the rolled piece:

[0048] V=HWL

[0049] Step 2: During each pass of rolling, according to the thickness h of the exit of the rolling mill 1 , outlet width w 1 , mill speed v, forward slip value f, calculated rolling volume V 1 :

[0050] V 1 =∫w 1 h 1 v(1+f)dt

[0051] Step 3: According to the total volume V of the rolled piece, the rolled volume V 1 , to calculate the unrolled volume V 0 , and then according to the mill entrance thickness h 0 , the entrance width w 0 , to calculate the tail tracking length L of the rolled piece 0 :

[0052]

[0053] Among them, β is the tail tracking self-learning correction amount.

[0054] Step 4: At the end of each rolling pass, the volume of the...

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Abstract

The invention provides a reversing roughing mill rolled piece tail tracking method based on self-learning and belongs to the technical field of metal pressure processing. The method includes: calculating the residual unrolled volume of a rolled piece according to the outlet thickness, outlet width, rolling mill speed and forward slip value of the rolling mill of each pass, calculating the unrolledlength of the rolled piece according to the inlet material thickness and width of the rolling mill, and performing self-learning according to the calculation result of the residual unrolled length and the total volume of the roller piece so as to increase the tail residual length tracking precision of the rolled piece. By the method, rolled piece tail length can be precisely tracked without a metal detector.

Description

technical field [0001] The invention relates to the technical field of metal pressure processing, in particular to a self-learning-based method for tracking the tail of a rolling piece in a reversible rough rolling mill. Background technique [0002] The rough rolling process is an important part of the rolling process. After multiple passes of rolling in a reversible rough rolling mill, the ingot is rolled into a thinner intermediate billet, which is then sent to finish rolling or sheared into a medium-thick plate . At present, the rough rolling process is fully automatic rolling, which realizes automatic switching of passes, automatic speed up and down of rolling mills, automatic control of thickness, etc. To realize fully automatic rolling, accurate tracking of the rolled piece is particularly important, especially the tail tracking of the rolled piece. The automatic deceleration function of the rolling mill and the balance switching logic of the bending roll all use the...

Claims

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Application Information

Patent Timeline
08 Nov 2019
Publication
CN108906892B
IPC
B21B37/00; B21B37/18
CPC
B21B37/00; B21B37/18
Inventors
任晓怀; 张飞