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Rolling schedule optimization method aiming at controlling power consumption per ton of steel in cold tandem rolling process

A technology of rolling schedule and optimization method, applied in the field of metallurgical cold rolling, can solve the problems of increasing power consumption per ton of steel, and achieve the effect of reducing power consumption and cost

Active Publication Date: 2017-04-05
唐山市榕泽钢材加工有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem of increased power consumption per ton of steel caused by unreasonable rolling schedule settings in the tandem cold rolling mill, the present invention provides a rolling schedule optimization method with the goal of controlling power consumption per ton of steel during the cold tandem rolling process

Method used

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  • Rolling schedule optimization method aiming at controlling power consumption per ton of steel in cold tandem rolling process
  • Rolling schedule optimization method aiming at controlling power consumption per ton of steel in cold tandem rolling process
  • Rolling schedule optimization method aiming at controlling power consumption per ton of steel in cold tandem rolling process

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Effect test

Embodiment 1

[0041] according to figure 1 The overall calculation block diagram of the rolling schedule optimization method with the goal of controlling the power consumption per ton of steel in the cold tandem rolling process is shown. First, in step (a), field parameters are collected, including: incoming material for the unit and thickness of the finished product h 0 ,h n (mm) {2.50, 0.45}, five rack roll radius R i (mm) {265, 237, 249, 266, 264}, five rack motor efficiency η i {0.85, 0.84, 0.86, 0.85, 0.87}, strip density ρ=7850(kg / m 3 ), five rack strip width B i =1020(mm), Young's modulus E=210GPa, Poisson's ratio v=0.3, the average deformation resistance of five racks K mi (Mpa) {373, 475, 541, 576, 612}, five rack emulsion flow Qi (L / min) {3050, 3450, 3500, 3600, 3900}, the rolling tonnage Z of the five racks after changing rolls i (t) {2228, 1940, 1880, 2000, 2320}, the rolling kilometers L after the work roll change in five stands i (Km) {150, 140, 130, 160, 180}, the maxim...

Embodiment 2

[0067] First, in step (a), field parameters are collected, including: five rack inlet and outlet thicknesses h i-1 ,h i (mm) {1.82, 0.25}, elongation ε of five racks i {0.8, 0.75, 0.55, 0.35, 0.25}, five rack roll radius R i (mm) {265, 250, 250, 250, 250}, motor efficiency η of five racks i {0.90, 0.89, 0.89, 0.85, 0.88}, strip density ρ=7850(kg / m 3 ), five racks emulsion flow rate Q i (L / min) {3000, 3400, 3600, 3800, 4200}, five rack strip width B i = 1800 (mm), Young's modulus E = 210GPa, Poisson's ratio v = 0.3, five racks average deformation resistance K mi (Mpa) {392, 485, 561, 596, 652}, the rolling tonnage Z after changing rolls in five stands i (t) {2028, 1830, 1750, 2120, 2450}, rolling kilometers L after the work roll change of five racks i(Km) {160, 150, 150, 160, 170}, the maximum rolling pressure P of five stands imax (t) {1500, 1500, 1500, 1500, 1500}, the maximum slip factor ψ of five racks imax =0.43, the maximum slip index of the five racks Maximum ...

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Abstract

A rolling schedule optimization method with control over electric power consumption per ton steel as a target in the cold continuous rolling process mainly comprises the following steps that 1, field parameters are collected; 2, unit friction characteristic parameters are collected; 3, parameters are defined; 4, the initial value, the initial optimization step length and optimization parameters are set; 5, the outlet speed, the reduction rate, the gate absolute draught and the equivalent tension influence coefficient of an ith rack are calculated; 6, the friction coefficient of the ith rack is calculated; 7, the rolling force of the ith rack is calculated; 8, the working roller flattening radius, the outer friction force influence coefficient, the forward slip valve and the rolling torque of the ith rack are calculated; 9, the slip factor and the slip index of the ith rack are calculated; 10, the rolling power of the ith rack is calculated; 11, a unit electric power consumption control function expression is constructed; and 12, the optimal rolling schedule is output. All the steps are executed by a computer. From the aspect of control over electric power consumption, the reasonable target value for rolling schedule control is set, enterprise cost is effectively reduced, and enterprise benefits are increased.

Description

technical field [0001] The invention belongs to the field of metallurgical cold rolling, in particular to a rolling schedule optimization method for continuous cold rolling. Background technique [0002] In recent years, due to the huge demand of household appliances, automobiles, electronics, aerospace and other industries, the cold-rolled strip production industry at home and abroad has achieved rapid development. In the past, in the production process of cold-rolled strips, the focus of on-site attention was mainly on the control of quality indicators such as shape, thickness, and surface defects. However, with the increasingly fierce competition in the steel industry and the decline in the overall profit margin of the steel industry, cost control in the production process of cold-rolled strips has been placed in an equally important position as quality control. Because for iron and steel enterprises, no matter how high the product quality is under the conditions of a ma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B21B37/00
CPCB21B37/00
Inventor 周莲莲白振华邢雨曾聪钱承张明佳张苗兴赵伟泉
Owner 唐山市榕泽钢材加工有限公司