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A Method for Predicting Strip Edge Thinning During Cold Rolling in a Six-high Mill

A technology of six-high rolling mill and process strip, which is applied in the field of cold rolling, and can solve problems that have not yet been involved in thinning width

Inactive Publication Date: 2018-12-28
TANGSHAN DELONG STEEL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, looking at all the literature, the research on strip edge thinning is mainly based on the analysis of the thinning amount, and there is no research on the thinning width.

Method used

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  • A Method for Predicting Strip Edge Thinning During Cold Rolling in a Six-high Mill
  • A Method for Predicting Strip Edge Thinning During Cold Rolling in a Six-high Mill
  • A Method for Predicting Strip Edge Thinning During Cold Rolling in a Six-high Mill

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Taking a six-high rolling mill as an example, according to figure 1 The overall calculation flow chart of the strip edge thinning prediction method in the cold rolling process of the six-high mill is shown. First, in step (a), the main equipment and process parameters of the cold rolling process in the six-high mill are collected, including: work roll Roll radius R w =190mm, middle roll radius R m =210mm, backup roll radius R b =500mm; the elastic modulus E of the work roll w =210GPa, the elastic modulus E of the middle roll m =210GPa, Elastic modulus E of the backup roll b =210GPa; Poisson's ratio ν of work roll w = 0.3, Poisson's ratio ν of the middle roller m =0.3, Poisson’s ratio ν of the support roller b =0.3; Work roll body length L w =1420mm, middle roll body length L m =1420mm, back-up roller body length L b =1420mm; the distance between the work roll bending cylinder and the rolling center line l w =2500mm, the distance between the middle roll bendin...

Embodiment 2

[0093] First, in step (a), the main equipment and process parameters of the six-high rolling mill cold rolling process are collected, including: work roll radius R w =200mm, middle roll radius R m =215mm, backup roll radius R b =510mm; the elastic modulus E of the work roll w =210GPa, the elastic modulus E of the middle roll m =210GPa, Elastic modulus E of the backup roll b =210GPa; Poisson's ratio ν of work roll w = 0.3, Poisson's ratio ν of the middle roller m =0.3, Poisson’s ratio ν of the support roller b =0.3; Work roll body length L w =1420mm, middle roll body length L m =1420mm, back-up roller body length L b =1420mm; the distance between the work roll bending cylinder and the rolling center line l w =2500mm, the distance between the middle roll bending cylinder and the rolling center line l m =2500mm, the distance between the support roll lower cylinder and the rolling center line l b =2500mm.

[0094] Subsequently, in step (b), construct the flattening coe...

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Abstract

The invention provides a prediction method for strip steel edge drop in the cold rolling process of a six-roller rolling machine. The prediction method comprises the following steps that (a) main equipment and technological parameters in the cold rolling process of the six-roller rolling machine are collected; (b) the flattening coefficient transverse distribution modified function Kmb (x) of middle rollers and supporting rollers as well as the flattening coefficient transverse distribution modified function Kmw (x) of the middle rollers and work rollers are built; (e) the flattening coefficient transverse distribution modified function Kwd (x) of the work rollers and strip steel is built; (d) according to roller elastic deformation, metal plastic deformation and deformation coordination relations of roller elastic deformation and metal plastic deformation, the transverse distribution value h1j of the strip steel is calculated; (e) the optimum values of the weighted fitting coefficients b2, b4 and b6 of the inter-roller flattening coefficients and the optimum values of the weighted fitting coefficients c2, c4 and c6 of the flattening coefficients of the work rollers and the strip steel are calculated; and (f) the edge drop area width alpha b, the average drop thickness beta hav, the middle-position drop thickness beta hmid and the maximum drop thickness beta hmax are calculated. Simultaneous predication of the edge drop width and the edge drop thickness of the strip steel in the cold rolling process of the six-roller rolling machine is achieved, and the accuracy of prediction of strip steel edge drop in the cold rolling process of the six-roller rolling machine is effectively ensured.

Description

technical field [0001] The invention belongs to the technical field of cold rolling, in particular to a method for predicting edge thinning of strip steel during cold rolling. Background technique [0002] In recent years, with the rapid development of the national economy, the market demand for cold-rolled strip products is also increasing. At the same time, as plate and strip users gradually move from low-end to high-end, users have higher and higher requirements for the edge quality of cold-rolled products. Edge thinning, as one of the important characteristics in the strip cold rolling process, directly affects the edge quality of the strip. In order to ensure the quality of the edge of the product on site, it is often necessary to cut off the thinned part of the edge of the strip with a disc. Therefore, the width of edge thinning in the cold rolling process of strip steel plays a decisive role in the yield of finished strip steel. The smaller the width of the thinned...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B21B37/28G06F17/15
CPCB21B37/28G06F17/15
Inventor 白振华崔亚亚崔熙颖刘亚星李小峰刘硕杨
Owner TANGSHAN DELONG STEEL CO LTD
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