CN106126941A - A kind of cold mill complex modeling power method - Google Patents

Abstract

A kind of cold mill complex modeling power method.The present invention is directed to pickling continuous-rolling power feature, provide a kind of method that pickling tandem rolling produces the modeling of the line power of the assembling unit, pickling tandem rolling is produced the high-power unit controlled by frequency conversion motor in line and establishes electrical power model, descaling bath is established thermal power model, and electrical power model and thermal power Model coupling are become unified power module.Unit based on electrical power of the present invention is as a example by rolling-mill housing, straightener, crimping machine, and the modeling method of other units is similar to therewith；Thermal power modeling method is similar with electrical power modeling method.The power module that the present invention is set up can be that follow-up cold-rolling process energy efficiency research provides basis, it is also possible to is processed energy consumption assessment and prediction.The power module explicit physical meaning set up, reasonable, simple and accurate, solve the problem that pickling tandem rolling produces line unit energy efficiency evaluation.

Description

A kind of cold mill complex modeling power method

Technical field

The invention provides a kind of modeling power method of pickling-Continuous mill train, belong to the energy optimization neck of cold mill complex Territory.

Background technology

(ton steel poor than comprehensive energy consumption 7.47%, coking process differs from 4.96% to Chinese Steel Industry process energy consumption in 2010, refining Ferrum differs from 17.45%, and steel rolling differs from 49.85%) in rolling mill practice energy consumption lag behind international most advanced level 49.85%, be various operations Energy consumption disparity, energy-saving and cost-reducing potentiality are the biggest.Therefore, improve the efficiency of cold rolling process unit energy resource consumption, have important Meaning.

Set up pickling-tandem rolling and produce the model of line unit output, be possible not only to describe and assessment pickling-tandem rolling product line machine The energy service condition of group, it is also possible to instruct the research of subsequent power efficiency optimization.In the research of current energy efficiency evaluation, " energy stream (Energy Flow) " has become as a kind of effective ways assessing manufacturing industry efficiency, and grinding in machine tool field Studying carefully the level having reached comparative maturity, Huang saves a kind of based on conservation of energy principle the numerical control turning energy consumption model of flood proposition Precision has reached more than 99% (HUANG Zhengtao, ZHANG Chaoyong, LUO Min.An Assessment Model of Energy Consumption for NC Turning Process Based on Principle of Conservation ofEnergy[J].Chinese Mechanical Engineer,2015,18(26):2419-2421)。 Cold rolling process is entirely different with traditional machine tool structure of energy consumption as multi-source energy consumption production procedure, is used by the energy flow model of lathe To cold mill complex, carrying out complex energy flow point analysis from the polyergic source such as electric, hot, the energy consumption for cold rolling process controls and efficiency is excellent Change and there is practical significance and wide application prospect.

The analysis and research of the power module of Ferrous Metallurgy at present the most all concentrate on the operations such as steel-making and continuous casting.Zhao Yeqing (Zhao Yeqing.Research on Energy Flow Network Model in Iron and Steel Enterprises Based on Hybird Petri Net[J].Metallurgical IndustryAutomation, 2014,38 (5): 27-28) steel industry process from raw material to hot rolling has been carried out point by the method for applied energy stream and material stream Analysis.Zhu Lihong and Wang Junfei (Zhu Lihong, Wang Junfei, Zhang Feng.Development of Energy Monitoring System Reheating Furnace in Hot Rolling Process[J].Engineering Control Computer, 2011,24 (5): 72-72) propose a kind of real-time energy of energy consumption monitoring heating furnace at course of hot rolling The system of consumption.Li Shanshan (Li Shanshan.Research on Energy Efficiency Assessment Method ofIron and Steel Production Process Based on Exergy Analysis[D].Jinan: Shandong University, 2013) propose a kind of based onThe energy consumption analysis method analyzed, produces mainly for iron and steel Steel making working procedure.And about cold rolling (Cold Rolling) operation, especially production procedure complexity, the unit related to, parameter Numerous pickling-tandem rolling produces line, and the power module of unit there are no document report.

The cold rolling high energy consumption operation produced as iron and steel, energy-saving potential is huge.It is numerous owing to producing line unit and technological parameter, Production process is complicated, and the research optimized about cold rolling efficiency is fewer, also lacks an accurate cold mill complex power module, comes Analyze relation between cold mill complex power and technological parameter.

Summary of the invention

The invention provides a kind of pickling-Continuous mill train modeling power method, for assessing and predict the energy consumption of unit, solve Determine deficiency of the prior art.

Realizing the technical scheme that above-mentioned purpose of the present invention used is:

A kind of cold mill complex modeling power method, comprises the following steps: (1), produce in line pickling-tandem rolling by frequency conversion motor The high-power unit controlled sets up electrical power model, and described electrical power model includes rolling-mill housing input power P_i, straightener defeated Enter power P_in, coiling machine input power P_im；Rolling-mill housing input power P_i=P_z+P_f1+P_f2, wherein P_zFor merit needed for rolling mill practice Rate, P_f1For the power of roll neck Yu bearing friction loss, P_f2Power for roll Yu strip steel friction loss；Straightener input power P_in=P_j+P_m, wherein P_jFor the power for straightening process, P_mPower for smoothing roll Yu strip steel friction loss；Coiling machine inputs Power P_im=P_q+P_qm, wherein P_qFor the power for strip coiling technique, P_qmFor friction loss between reel axle journal and bearing Power；

(2) thermal power model set up by the descaling bath, to pickling-tandem rolling produced in line, and the input power of described descaling bath is Q_in =Q₁+Q₂+Q₃+Q₄；Wherein Q₁For for strip steel heating power, Q₂For eo-acid heating power, Q₃For the lost power of acid solution evaporation, Q₄ Scatter and disappear power for equipment cooling；

(3), electrical power model and thermal power Model coupling are become unified power module.

P in step (1)_zComputing formula as follows:

$P_z=\frac{2\stackrel{\‾}{p}\stackrel{\‾}{b}\mathrm{\ψ}{(\sqrt{R\mathrm{\Δ}h+{\left(c\stackrel{\‾}{pR}\right)}^2}+c\stackrel{\‾}{p}R)}^2\×\frac{n_0{h}_0}{h_i}}{\mathrm{\η}},$

WhereinFor rolling unit pressure,For rolling the mean breadth of front and back band steel, ψ is rolling fore arm coefficient, and Δ h is pressure Lower amount, R is the radius of roll, and c is the coefficient relevant with technique, n₀For breast roller rotating speed, h_iThickness during i milling train is gone out for strip steel Degree, η is the motor transmission efficiency to milling train；

P_f1Computing formula be:

Wherein p is roll-force, d₁For roll neck diameter, f is the coefficient of friction between axle journal and bearing；

P_f2Computing formula be:

Wherein M_f2、M_f1For moment of friction, i is the gear ratio of drive mechanism.

P in step (1)_jComputing formula be:

Wherein v is the speed that strip steel runs, σ_sFor the yield strength of steel grade, r₀For the initial curvature of strip steel, k_nFor strip steel warp Crossing remnant curvature during the n-th smoothing roll, E is the elastic modelling quantity of strip steel；

P_mComputing formula be:

Wherein μ and μ₁It is respectively working roll and back-up roll bearing coefficient of friction, d and d₁It is respectively working roll and backing roll Beaming roller diameter, f₁For the coefficient of rolling friction between working roll and backing roll,For adjacent upper and lower two roller lines and vertical wire clamp Angle cosine value, t is adjacent lower roll center of circle distance, D_gFor lower roller diameter, D_zFor upper roller diameter.

P in step (1)_qComputing formula be:

Wherein T is tension force during curling, and P is curling point action power；

P_qmComputing formula be: P_qm=F_f2d₂v₅,

Wherein, F be volume weight with tension force make a concerted effort, f₂For the coefficient of friction of axle journal, d₂For crimping machine journal diameter, v₅For volume Bent machine cylinder rotating speed.

Q in step (2)₁Computing formula be:

Wherein b is the width of strip steel, and h is belt steel thickness, and v is that strip steel is at acid cleaning process running speed, ρ₁Close for strip steel Degree, C₁For the specific heat capacity of strip steel, t₁Temperature when descaling bath, t is entered for strip steel₂Final temperature for strip steel；

Q₂Computing formula be: Q₂=qC₂(t₂-t₁),

Wherein q is the flow of eo-acid, C₂For the specific heat capacity of eo-acid, t₁For eo-acid temperature, t₂For acid liquor temperature in descaling bath；

Q₃Computing formula be: Q₃=kS₁,

Wherein K is evaporative heat loss coefficient, S₁For evaporation liquid surface area；

Q₄Computing formula be:

Wherein λ₂For equipment heat conductivity, S₂For equipment list area, Δ t is the equipment inside and outside wall temperature difference, d₂For device thickness.

Electrical power and electric thermal power are coupled by the present invention after becoming a unified power module, are expressed as follows:

$\left\{\begin{array}{c}{P}_z=\frac{2\stackrel{\‾}{pb}\mathrm{\ψ}{(\sqrt{R\mathrm{\Δ}h+{\left(c\stackrel{\‾}{p}R\right)}^2}+c\stackrel{\‾}{p}R)}^2}{\mathrm{\η}}\×\frac{n_0{h}_0}{h_1}\\ P_f=\[(\frac{1}{\mathrm{\η}}-1)\frac{M_Z+{\mathrm{pd}}_{1}f}{i}+{\mathrm{pd}}_{1}f+(0.03~0.06)M_H\]\×\frac{n_0{h}_0}{h_1}\\ .\\ .\\ .\\ Q_1=\frac{{\mathrm{bhv\ρ}}_1{C}_1(t_2-t_1)}{1000}\\ Q_2={\mathrm{qC}}_2(t_{s2}-t_{s1})\\ Q_3={\mathrm{kS}}_1\\ Q_4={\mathrm{\λ}}_2{S}_2\frac{\mathrm{\Δ}t}{d_2}\end{array}\right.$

Compared with prior art, the invention have the advantages that

1. pickling-the tandem rolling that present invention is generally directed to cold rolling process produces line, by analyzing the spy of unit input-output power Property and mechanism, establish electrical power model and thermal power model.Being different from traditional power module, the present invention is by electrical power model Unified power module is become with thermal power Model coupling.Solve current pickling-tandem rolling product line and lack a kind of energy efficiency evaluation side The problem of method, provides theoretical foundation for follow-up efficiency optimizing research simultaneously.

2. the method theoretical method based on energy stream that the present invention proposes, exports with unit according to the power being input to unit The equal principle of power, each power of each unit is exported and decomposes, and set up relevant with technological parameter respectively Equilibrium equation, it is thus achieved that power module more accurate, as shown in Figure 1.

3. pickling-Continuous mill train the power module using the inventive method to set up, only need to be given the size of strip steel in contract, The parameters such as elastic modelling quantity, can quickly obtain accurate required power, have certain forecast function in actual production.

Accompanying drawing explanation

The pickling that Fig. 1 provides for the present invention-total schematic diagram of milling train group power module；

Fig. 2 is iterative process schematic diagram.

Detailed description of the invention

In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and example, to this Invention is further elaborated.Instantiation described herein, only in order to explain the present invention, is not used to limit this Bright.

The power that the power module that the present invention is set up can be used for needed for the strip steel of different cultivars is added man-hour is predicted, Also basis can be provided for follow-up efficiency optimizing research.As a example by power prediction, the process energy consumption of unit all with the technique of strip steel There is the relation of a kind of mapping in parameter, the power module set up is actually about the equation of technological parameter, equation from Variable is the parameter of strip steel self, and dependent variable is the value of output.The parameter of product is updated to model equation, it is possible to real Now process prediction and the assessment of required power.Model self should have certain reliability and accuracy, the data in table 1 The data provided from certain cold rolling mill, as comparison.

Table 1 pickling-tandem rolling produces line unit motor model

Machine name	Motor model	Capacity (Kw)
			Seven roller straighteners	1PQ8355-6PM80-Z	200
No. 1 frame	TDZBS 4174-4	4174
			No. 2 frames	TDZBS 5250-4	5250
No. 3 frames	TDZBS 5250-4	5250
			No. 4 frames	TDZBS 5250-4	5250
No. 5 frames	TDZBS 5250-4	5250
			Coiling machine	TDZBS 2850-4	2850

Belong to procedural style production owing to pickling-tandem rolling produces line, there is successional feature, once start and can not arbitrarily stop Machine, so what the parameter in model cannot the most directly be surveyed.Present invention pickling based on certain cold rolling mill-tandem rolling produces line The power module set up, relates to unit parameter and obtains from the data of the offer of this cold rolling mill；The parameter relevant with technique will Obtained by documents and materials.

As a example by single rolling-mill housing, implementation to the present invention does detailed specific description below, and straightener inputs The modeling of the input power of power, coiling machine input power and descaling bath all can refer to following method, does not enters in the present embodiment Row is tired one by one to be stated.

The unit technological parameter occurred in power module in the present embodiment is as shown in table 2:

Table 2 Model Parameter value

The power equation of rolling mill practice is:

$P_z=\frac{2\stackrel{\‾}{p}\stackrel{\‾}{b}\mathrm{\ψ}{(\sqrt{R\mathrm{\Δ}h+{\left(c\stackrel{\‾}{pR}\right)}^2}+c\stackrel{\‾}{p}R)}^2\×\frac{n_0{h}_0}{h_i}}{\mathrm{\η}}$

Parameter in table 2 obtains equation below after substituting into

$P_z=1.05\stackrel{\‾}{p}\stackrel{\‾}{b}{(\sqrt{300\mathrm{\Δ}h+{(3.22\×{10}^{-3}\stackrel{\‾}{p})}^2}+3.22\×{10}^{-3}\stackrel{\‾}{p})}^2\×\frac{n_0{h}_0}{h_1}$

Above-mentioned equation only remainsBeing uncertain, need to be iterated trying to achieve by formula (a), (b), iterative process is such as Shown in Fig. 2:

$\stackrel{\‾}{p}=95\frac{e^{\frac{0.05l^{\′}}{h}}-1}{\frac{0.05l^{\′}}{\stackrel{\‾}{h}}}---\left(a\right)$

$l^{\′}=\sqrt{300\mathrm{\Δ}h+{(3.22\×{10}^{-3}\stackrel{\‾}{p})}^2}+3.22\×{10}^{-3}\stackrel{\‾}{p}---\left(b\right)$

Unit width rolling pressure is obtained according to above-mentioned iterative methodBring in rolling mill practice power module, obtain one with strip steel Self technological parameter is the equation of independent variable.Rolling mill practice merit can be obtained according to the technological parameter of the strip steel that will process self Rate P_z。

Calculate as a example by No. 1 frame, from the contract detail that certain cold rolling mill provides, take 5 kinds of strip steel at random as sample This, be updated to equation by its dimensional parameters, and the milling train power demand rolling different steel grade corresponding drawn is listed in shown in table 3:

Table 3 unit power demand is predicted

In table 3, the inlet thickness of 5 kinds of strip steel samples, exit thickness and width are all from that certain cold rolling mill year provides Part contract is detailed.According to calculating the data of acquisition in table, 5 kinds of samples are processed required rolling power in No. 1 frame and are divided 1982.8Kw, 2304.1Kw, 2577.6Kw, 3046.5Kw, 4028.9Kw, in table 1, the capacity motor of No. 1 frame is 4174Kw, The power of model prediction is less than the capacity of gantry motor, and rolling power increases with the increase of belt steel thickness.Can from above Know that the model that the present invention is set up has certain reliability, practical engineering application has certain value.

As it will be easily appreciated by one skilled in the art that and the foregoing is only embodiments of the invention, not in order to limit The present invention processed, all any amendment, equivalent and improvement etc. made within the spirit and principles in the present invention, should be included in Within protection scope of the present invention.

Claims (5)

1. a cold mill complex modeling power method, it is characterised in that comprise the following steps:

(1), pickling-tandem rolling is produced the high-power unit controlled by frequency conversion motor in line and set up electrical power model, described electrical power Model includes rolling-mill housing input power P_i, straightener input power P_in, coiling machine input power P_im；Rolling-mill housing input power P_i=P_z+P_f1+P_f2, wherein P_zFor rolling mill practice power demand, P_f1For the power of roll neck Yu bearing friction loss, P_f2For roll with The power of strip steel friction loss；Straightener input power P_in=P_j+P_m, wherein P_jFor the power for straightening process, P_mFor aligning Roller and the power of strip steel friction loss；Coiling machine input power P_im=P_q+P_qm, wherein P_qFor the merit for strip coiling technique Rate, P_qmFor the power of friction loss between reel axle journal and bearing；

(2) thermal power model set up by the descaling bath, to pickling-tandem rolling produced in line, and the input power of described descaling bath is Q_in=Q₁+ Q₂+Q₃+Q₄；Wherein Q₁For for strip steel heating power, Q₂For eo-acid heating power, Q₃For the lost power of acid solution evaporation, Q₄For setting The lost power of standby heat radiation；

(3), electrical power model and thermal power Model coupling are become unified power module.

Cold mill complex modeling power method the most according to claim 1, it is characterised in that: P in step (1)_zComputing formula As follows:

$P_z=\frac{2\stackrel{\‾}{p}\stackrel{\‾}{b}\mathrm{\ψ}{\left(\sqrt{R\mathrm{\Δ}h+{\left(c\stackrel{\‾}{pR}\right)}^2}+c\stackrel{\‾}{p}R\right)}^2\×\frac{n_0{h}_0}{h_i}}{\mathrm{\η}},$

WhereinFor rolling unit pressure,For rolling the mean breadth of front and back band steel, ψ is rolling fore arm coefficient, and Δ h is pressure Amount, R is the radius of roll, and c is the coefficient relevant with technique, n₀For breast roller rotating speed, h_iThickness during i milling train is gone out for strip steel, η is the motor transmission efficiency to milling train；

P_f1Computing formula be:

Wherein p is roll-force, d₁For roll neck diameter, f is the coefficient of friction between axle journal and bearing；

P_f2Computing formula be:

Wherein M_f2、M_f1For moment of friction, i is the gear ratio of drive mechanism.

Cold mill complex modeling power method the most according to claim 1, it is characterised in that: P in step (1)_jComputing formula For:

Wherein v is the speed that strip steel runs, σ_sFor the yield strength of steel grade, r₀For the initial curvature of strip steel, k_nFor strip steel through Remnant curvature during n smoothing roll, E is the elastic modelling quantity of strip steel；

P_mComputing formula be:

Wherein μ and μ₁It is respectively working roll and back-up roll bearing coefficient of friction, d and d₁It is respectively working roll and the beaming roller of backing roll Diameter, f₁For the coefficient of rolling friction between working roll and backing roll,More than adjacent upper and lower two roller lines and vertical line angle String value, t is adjacent lower roll center of circle distance, D_gFor lower roller diameter, D_zFor upper roller diameter.

Cold mill complex modeling power method the most according to claim 1, it is characterised in that: P in step (1)_qComputing formula For:

Wherein T is tension force during curling, and P is curling point action power；

P_qmComputing formula be: P_qm=Ff₂d₂v₅,

Wherein, F be volume weight with tension force make a concerted effort, f₂For the coefficient of friction of axle journal, d₂For crimping machine journal diameter, v₅For crimping machine Drum rotation speed.

Cold mill complex modeling power method the most according to claim 1, it is characterised in that: Q in step (2)₁Computing formula For:

Wherein b is the width of strip steel, and h is belt steel thickness, and v is that strip steel is at acid cleaning process running speed, ρ₁For strip steel density, C₁ For the specific heat capacity of strip steel, t₁Temperature when descaling bath, t is entered for strip steel₂Final temperature for strip steel；

Q₂Computing formula be: Q₂=qC₂(t₂-t₁),

Wherein q is the flow of eo-acid, C₂For the specific heat capacity of eo-acid, t₁For eo-acid temperature, t₂For acid liquor temperature in descaling bath；

Q₃Computing formula be: Q₃=kS₁,

Wherein K is evaporative heat loss coefficient, S₁For evaporation liquid surface area；

Q₄Computing formula be:

Wherein λ₂For equipment heat conductivity, S₂For equipment list area, Δ t is the equipment inside and outside wall temperature difference, d₂For device thickness.