CN103586286B - Rolling schedule comprehensive optimization method for cold continuous rolling unit taking scratch prevention as objective - Google Patents

Rolling schedule comprehensive optimization method for cold continuous rolling unit taking scratch prevention as objective Download PDF

Info

Publication number
CN103586286B
CN103586286B CN201310562412.XA CN201310562412A CN103586286B CN 103586286 B CN103586286 B CN 103586286B CN 201310562412 A CN201310562412 A CN 201310562412A CN 103586286 B CN103586286 B CN 103586286B
Authority
CN
China
Prior art keywords
frame
rolling
machine frame
value
plucking
Prior art date
Application number
CN201310562412.XA
Other languages
Chinese (zh)
Other versions
CN103586286A (en
Inventor
白振华
孙立壮
李鹏涛
乔旋
侯彬
常金梁
陈浩
Original Assignee
燕山大学
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 燕山大学 filed Critical 燕山大学
Priority to CN201310562412.XA priority Critical patent/CN103586286B/en
Publication of CN103586286A publication Critical patent/CN103586286A/en
Application granted granted Critical
Publication of CN103586286B publication Critical patent/CN103586286B/en

Links

Abstract

A rolling schedule comprehensive optimization method for a cold continuous rolling unit taking scratch prevention as an objective mainly comprises the following steps that 1, main equipment and technological parameters of the cold continuous rolling unit with five machine frames are collected; 2 procedure parameters involved in a rolling schedule optimization procedure are defined; 3, the ability of the unit to regulate the outlet plate shapes is improved; 4, initial values of reduction rates epsilon<i0> of the first machine frame, the second machine frame, the third machine frame and the fourth machine frame and initial values of outlet tension force T<i0> of the first machine frame, the second machine frame, the third machine frame and the fourth machine frame are given; 5, an initial value of the reduction rate of the fifth machine frame is calculated; 6, rolling pressure, rolling power, slipping factors, and the outlet plate shape value of each machine frame are calculated; 7, the value of a scratch comprehensive judgment index lambada<i> of each machine frame is calculated; 8, an optimized objective function is calculated; 9 the optimal rolling schedule is output; the steps are executed through a computer. By means of the rolling schedule comprehensive optimization method, the scratch comprehensive judgment index of each machine frame can be predicted accurately, the occurrence possibility of scratch defects is reduced to the greatest extent, production efficiency is increased, and outlet surface quality of strip steel is improved.

Description

The rolling procedure comprehensive optimization method that tandem mills is target with plucking control
Technical field
The present invention relates to cold rolling field, particularly the tandem mills rolling procedure comprehensive optimization method that is target with plucking control.
Background technology
In recent years, due to the great demand of the industries such as household electrical appliance, automobile, electronics, space flight, strip is produced and obtains fast development.Meanwhile, along with most of strip user is turned to high-end by low side, more and more higher requirement is proposed to the surface quality of band steel.And in cold continuous rolling production process, be easy to produce plucking at roller surface, and constantly duplicate in belt steel surface, and the galling defect of belt steel surface has considerable influence to product surface quality, its essential characteristic is the white bright line occurred continuously along entire volume length in band steel upper and lower surface.Galling defect sometimes scene also claims cut.For galling defect, the scholars such as Xu Jun, Qiu Gejun are followed the tracks of by a large amount of field trials, show that galling defect is this conclusion caused owing to skidding at a high speed between roll and band [1-2], but do not explain that the plucking why occurred after band steel and roll skid at a high speed is elongate instead of other form, the research yet not deep to its mechanism produced.Further following the tracks of discovery by scene, all can there is galling defect in the coil of strip that not all generation is skidded at a high speed, and the degree that galling defect occurs is except having relation with rolling schedule and tension schedule [3], also with the content of iron powder in emulsion, be with the intensity of steel closely related.In the past, the angle also having scholar to prevent and treat from plucking, was optimized setting to rolling procedure [1], but in the computational process on plucking comprehensive descision index, only only considered the impact of mill speed and slip factor, and do not consider to be with hardness of steel, the factors such as emulsion iron content, cause on-the-spot inaccurate to plucking comprehensive descision indices prediction, the generation of galling defect cannot be effected a radical cure, have impact on the production efficiency of unit greatly, like this, how plucking comprehensive descision index is revised, improve the forecast precision of plucking comprehensive descision index and setting is optimized to rolling procedure reduces the emphasis that probability that galling defect occurs is still on-the-spot tackling key problem.
(bibliography: [1] Qiu Gejun, Sun Jun, Bai Zhenhua .1220 cold continuous rolling nick mechanism and analysis of Influential Factors [J]. metallurgical equipment, 2007,3:23-26. [2] Bai Zhenhua. cold continuous rolling high speed manufacturing processes core process Mathematical Modeling [M]. Beijing: China Machine Press, 2009. [3] Sun Jianlin. rolling mill practice lubrication principle technology and application [M]. metallurgical industry publishing house, 2004,1.)
Summary of the invention
Inaccurate to plucking comprehensive descision indices prediction for scene, the object of the present invention is to provide the rolling procedure comprehensive optimization method that the tandem mills very easily producing galling defect probability in a kind of energy on-the-spot accurate forecast plucking comprehensive descision index, reduction high-speed rolling process is target with plucking control.
In order to realize above object, the present invention by the following technical solutions:
The rolling procedure comprehensive optimization method that tandem mills is target with plucking control, comprises the following step performed by computer:
A () collects capital equipment and the technological parameter of five Stands Cold Tandem Mill groups, mainly comprise the following steps:
A1) collect the main equipment parameters of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame working roll roller footpath D wi, i=1,2 ... 5,1-5# frame backing roll roller footpath D bi, 1-5# frame working roller distribution Δ D wij(j is bar unit number), 1-5# frame backing roll roll shape distribution Δ D bij, 1-5# frame working roll barrel length L wi, 1-5# frame backing roll barrel length L bi, 1-5# frame working roll bending cylinder centre-to-centre spacing l wi, 1-5# frame backing roll housing screw centre-to-centre spacing l bi;
A2) collect the technology characteristics parameter of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame permits maximum draught pressure P maxi, 1-5# frame permits maximum rolling power F maxi, the maximum positive bending roller force of 1-5# frame working roll the maximum negative bending roller force of 1-5# frame working roll 1-5# frame relative power surplus difference license maximum uncoiler uncoiling tension T 0, coiling machine curl tension T 5, the maximum outlet tension force T that allows of 1-4# frame relevant device maxi, the minimum outlet tension force T that allows of 1-4# frame relevant device mini, specific standard strip-rolling time 1-5# machine frame rolling mill maximum depression rate ε allowable imax, specific standard strip-rolling time 1-5# machine frame rolling mill minimum reduction ratio ε allowable imin, critical slip factor ψ *, last rack outlet maximum plate shape value shape *, there is the emulsion iron content critical value of galling defect safety coefficient ξ;
A3) collect the technological parameter of band to be rolled, mainly comprise the initial strength σ of band s0, strain hardening coefficient k s, the width B of band, the thickness h of supplied materials 0, finished product thickness h 5, 5# frame muzzle velocity V 5;
A4) collect main technique lubricating regime parameter, mainly comprise each frame emulsion flow setting value flow i, emulsion initial temperature T d, concentration of emulsion used C, emulsion iron content
B procedure parameter involved in () definition rolling schedule optimization process, mainly comprises the best reduction distribution value ε of 1-5# frame iy, 1-4# frame the best outlet tension force setting value T iy, 1-5# frame reduction ratio setting value ε i0, 1-4# rack outlet tension force setting value T i0, 1-5# frame draught pressure P i, 1-5# frame rolling power F i, 1-5# frame slip factor ψ i, 1-5# frame relative power surplus w i, 1-5# machine frame rolling mill work roll bending power S iw, last frame band steel exit plate shape value shape;
C (), in order to improve the regulating power of unit to exit plate shape to greatest extent, makes the i-th machine frame rolling mill work roll bending power S iw = S iw max + - S iw max - 2 ;
(d) given 1-4# frame reduction ratio ε i0with 1-4# rack outlet tension force T i0initial value;
E () calculates the 5th frame reduction ratio initial value &epsiv; 50 = 1 - h 5 h 0 ( 1 - &epsiv; 10 ) ( 1 - &epsiv; 20 ) ( 1 - &epsiv; 30 ) ( 1 - &epsiv; 40 ) ;
F () calculates current working under, the draught pressure P of each frame i, rolling power F i, slip factor ψ i, last frame band steel exit plate shape value shape;
G, in () operation of rolling, under the prerequisite considering safety coefficient, draught pressure, rolling power, slip factor and exit plate shape value all should not exceed License Value, therefore judge inequality whether set up simultaneously, if inequality is set up, then proceed to step (h); If inequality is false, then redistributes the initial value of reduction ratio and outlet tension force, proceed to step (j);
H () calculates current working under, each frame plucking comprehensive descision index λ ivalue, λ iless, then represent plucking occur probability less, occurrence degree is lighter; Otherwise, plucking comprehensive descision index λ ilarger, then represent plucking occur probability larger, occurrence degree is more serious.Especially, as new plucking comprehensive descision index λ ithen show when≤0 that the operation of rolling there will not be galling defect, the probability that namely so-called galling defect occurs is zero, wherein plucking comprehensive descision index λ icomputation model be:
&lambda; = &psi; &CenterDot; ( &gamma;V ) &alpha; &CenterDot; [ ( &rho; F e &rho; F e 0 ) &beta; - 1 ] &CenterDot; ln ( &eta; &sigma; s )
λ in formula-plucking comprehensive descision index;
ψ-slip factor;
&psi; = 1 4 &mu; ( &Delta;h R &prime; + T in - T out P )
μ-coefficient of friction;
V-band steel exports speed;
Δ h-drafts;
R '-working roll flattens radius;
T in-entrance tension force;
T out-outlet tension force;
P-draught pressure;
α, γ-rate coefficient, closely related with the characteristic of cold continuous rolling, general α=0.8-1.2, γ=0.4-0.6;
actual iron powder content in-emulsion;
-there is the emulsion iron content critical value of galling defect;
In β-emulsion, iron powder is to the Intrusion Index of plucking probability of happening, general β=0.7-0.8;
σ sthe average deformation drag of-frame inlet/outlet band;
η-strength of materials to the influence coefficient of plucking probability of happening, general η=0.35-0.45;
(i) calculate the optimization object function under current rolling schedule a is weight coefficient, general A=0.35-0.65, wherein represent the uniformity of each frame revised plucking comprehensive descision index, represent the overall numerical value of each frame revised plucking comprehensive descision index;
Does j () judge that Powell condition is set up (namely judging that whether objective function F minimum)? if Powell condition is set up, then make ε iyi0, T iy=T i0, proceed to step (k), otherwise adjustment ε i0, T i0, proceed to step (e);
K () exports optimum rolling procedure ε iy, T iy, complete the integrated optimization and setting of the rolling procedure that tandem mills is target with plucking control.
The present invention compared with prior art tool has the following advantages:
(1) under accurate forecast goes out current working, the plucking comprehensive descision index of each frame.
(2) last rack outlet plate shape and each frame relative power allowance balance even.
(3) farthest reduce the probability that galling defect occurs, enhance productivity and improve the exit surface quality being with steel.
Accompanying drawing explanation
Fig. 1 is host computer block diagram of the present invention;
Fig. 2 is the flow chart of step a of the present invention;
Fig. 3 is the embodiment of the present invention 1 and conventional method exit plate shape curve comparison figure;
Fig. 4 is the embodiment of the present invention 2 and conventional method exit plate shape curve comparison figure.
Detailed description of the invention
Embodiment 1
The rolling procedure comprehensive optimization method that tandem mills is target with plucking control, each step as shown in Figure 1:
First, in step 1, collect the main equipment parameters of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame working roll roller footpath D wi={ 538.1,474.8,495.1,527.2,528.5}mm, 1-5# frame backing roll roller footpath D bi={ 1218,1228.2,1325.4,1235,1304.9}mm, 1-5# frame working roller distribution Δ D wij=0(j is bar unit number), 1-5# frame backing roll roll shape distribution Δ D bij=0,1-5# frame working roll barrel length L wi=1220mm, 1-5# frame backing roll barrel length L bi=1092mm, 1-5# frame working roll bending cylinder centre-to-centre spacing l wi=2100mm, 1-5# frame backing roll housing screw centre-to-centre spacing l bi=2100mm;
Subsequently, in step 2, collect the technology characteristics parameter of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame permits maximum draught pressure P maxi=2000t, 1-5# frame permit maximum rolling power F maxithe maximum positive bending roller force of=5000kw, 1-5# frame working roll the maximum negative bending roller force of 1-5# frame working roll 1-5# frame relative power surplus difference license maximum uncoiler uncoiling tension T 0=65MPa, coiling machine curl tension T 5the maximum outlet tension force T that=70MPa, 1-4# frame relevant device allow maxithe minimum outlet tension force T that=230MPa, 1-4# frame relevant device allow mini1-5# machine frame rolling mill maximum depression rate ε allowable when=80MPa, specific standard strip-rolling imax=0.45,1-5# machine frame rolling mill minimum reduction ratio ε allowable during specific standard strip-rolling imin=0.15, critical slip factor ψ *=0.42, last rack outlet maximum plate shape value shape *=15I, there is the emulsion iron content critical value of galling defect safety coefficient ξ=0.9;
Subsequently, in step 3, collect the technological parameter of band to be rolled, mainly comprise the initial strength σ of band s0=380MPa, strain hardening coefficient k s=1.35, the width B=1005mm of band, the thickness h of supplied materials 0=2.75mm, finished product thickness h 5the muzzle velocity V of=0.42mm, 5# frame 5=985m/min;
Subsequently, in step 4, collect main technique lubricating regime parameter, mainly comprise each frame emulsion flow setting value flow i={ 1235,987,1010,1145,1170}L/min, emulsion initial temperature T d=55 DEG C, concentration of emulsion used C=2.1%, emulsion iron content above step as shown in Figure 2;
Subsequently, in steps of 5, procedure parameter involved in definition rolling schedule optimization process, mainly comprises the best reduction distribution value ε of 1-5# frame iy, 1-4# frame the best outlet tension force setting value T iy, 1-5# frame reduction ratio setting value ε i0, 1-4# rack outlet tension force setting value T i0, 1-5# frame draught pressure P i, 1-5# frame rolling power F i, 1-5# frame slip factor ψ i, 1-5# frame relative power surplus w i, 1-5# machine frame rolling mill work roll bending power S iw, last frame band steel exit plate shape value shape;
Subsequently, in step 6, the i-th machine frame rolling mill work roll bending power is calculated
Subsequently, in step 7, the initial value ε of given 1-4# frame reduction ratio i0={ 0.35,0.35,0.35,0.35} and 1-4# rack outlet tension force setting initial value T i0={ 150,150,150,150}MPa;
Subsequently, in step 8, the 5th frame reduction ratio initial value is calculated
&epsiv; 50 = 1 - h 5 h 0 ( 1 - &epsiv; 10 ) ( 1 - &epsiv; 20 ) ( 1 - &epsiv; 30 ) ( 1 - &epsiv; 40 ) = 0.144 ;
Subsequently, in step 9, under calculating current working, the draught pressure P of each frame i={ 1306.62,885.84,801.42,767.95,656.32}t, rolling power F i={ 2891.09,3735.47,3891.78,4120.46,2385.07}kw, slip factor ψ i={ 0.126,0.319,0.349,0.317,0.243}, relative power surplus w i={ the exit plate shape value shape=13.8I of 0.422,0.253,0.222,0.176,0.523}, last frame band steel;
Subsequently, in step 10, inequality is judged whether set up, obvious inequality is set up, then proceed to step 11 simultaneously;
Subsequently, in a step 11, under calculating current working, each frame plucking comprehensive descision index λ i=0.931,3.699,6.295,8.886,7.976}, wherein rate factor alpha=1.0, γ=0.5, in emulsion, iron powder is to Intrusion Index β=0.75 of plucking probability of happening, and the strength of materials is to influence coefficient η=0.4 of plucking probability of happening;
Finally, in step 12, the optimization object function under current rolling schedule is calculated F = A &CenterDot; &Sigma; i = 1 n ( &lambda; i - &lambda; &OverBar; ) 2 + ( 1 - A ) &CenterDot; &lambda; &OverBar; = 6.02 , &lambda; &OverBar; = 1 5 &Sigma; i = 1 5 &lambda; i = 5.55 , Wherein A=0.5;
Subsequently, in step 13, judge whether Powell condition is set up (namely judging that whether objective function F is minimum), and obvious condition is false, adjustment ε i0, T i0, proceed to step 8;
Finally, at step 14, optimum rolling procedure ε is exported iy={ 0.28,0.389,0.331,0.299,0.26}, T iy={ 137.28,163.68,163.68,165.44}MPa completes the rolling procedure integrated optimization and setting that tandem mills is target with plucking control.
Sets forth the distribution situation of reduction system, tension schedule and the plucking comprehensive descision index that this enforcement obtains with conventional method at Fig. 3 and table 1, and optimize the distribution situation of last rack outlet plate shape.As shown in Figure 3, plate shape value for characterizing last rack outlet strip shape quality drops to 12.10I from 14.35I, have dropped 15.68%, can be found out by table 1, object function for characterizing galling defect probability of happening drops to 5.607 from 6.176, have dropped 9.21%; Illustrate that correlation technique of the present invention can be good at reducing the probability that in high-speed rolling process, galling defect occurs, improve the quality on band steel exports surface.
The rolling procedure complex optimum result of table 1 embodiment 1 and conventional method
Embodiment 2
First, in step 1, collect the main equipment parameters of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame working roll roller footpath D wi={ 525.7,482.3,493.4,526.1,522.3}mm, 1-5# frame backing roll roller footpath D bi={ 1275.4,1229.9,1226.9,1297,1214}mm, 1-5# frame working roller distribution Δ D wij=0(j is bar unit number), 1-5# frame backing roll roll shape distribution Δ D bij=0,1-5# frame working roll barrel length L wi=1220mm, 1-5# frame backing roll barrel length L bi=1092mm, 1-5# frame working roll bending cylinder centre-to-centre spacing l wi=2100mm, 1-5# frame backing roll housing screw centre-to-centre spacing l bi=2100mm;
Subsequently, in step 2, collect the technology characteristics parameter of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame permits maximum draught pressure P maxi=2000t, 1-5# frame permit maximum rolling power F maxithe maximum positive bending roller force of=5000kw, 1-5# frame working roll the maximum negative bending roller force of 1-5# frame working roll 1-5# frame relative power surplus difference license maximum uncoiler uncoiling tension T 0=65MPa, coiling machine curl tension T 5the maximum outlet tension force T that=70MPa, 1-4# frame relevant device allow maxithe minimum outlet tension force T that=230MPa, 1-4# frame relevant device allow mini1-5# machine frame rolling mill maximum depression rate ε allowable when=80MPa, specific standard strip-rolling imax=0.45,1-5# machine frame rolling mill minimum reduction ratio ε allowable during specific standard strip-rolling imin=0.15, critical slip factor ψ *=0.40, last rack outlet maximum plate shape value shape *=11I, there is the emulsion iron content critical value of galling defect safety coefficient ξ=0.9;
Subsequently, in step 3, collect the technological parameter of band to be rolled, mainly comprise the initial strength σ of band s0=400MPa, strain hardening coefficient k s=1.28, the width B=1003mm of band, the thickness h of supplied materials 0=2.0mm, finished product thickness h 5the muzzle velocity V of=0.26mm, 5# frame 5=1117m/min;
Subsequently, in step 4, collect main technique lubricating regime parameter, mainly comprise each frame emulsion flow setting value flow i={ 1165,1876,1130,1065,1130}L/min, emulsion initial temperature T d=55 DEG C, concentration of emulsion used C=2.3%, emulsion iron content
Subsequently, in steps of 5, procedure parameter involved in definition rolling schedule optimization process, mainly comprises the best reduction distribution value ε of 1-5# frame iy, 1-4# frame the best outlet tension force setting value T iy, 1-5# frame reduction ratio setting value ε i0, 1-4# rack outlet tension force setting value T i0, 1-5# frame draught pressure P i, 1-5# frame rolling power F i, 1-5# frame slip factor ψ i, 1-5# frame relative power surplus w i, 1-5# machine frame rolling mill work roll bending power S iw, last frame band steel exit plate shape value shape;
Subsequently, in step 6, the i-th machine frame rolling mill work roll bending power is calculated
Subsequently, in step 7, the initial value ε of given 1-4# frame reduction ratio i0={ 0.35,0.35,0.35,0.3} and 1-4# rack outlet tension force setting initial value T i0={ 150,150,150,150}MPa;
Subsequently, in step 8, the 5th frame reduction ratio initial value is calculated
&epsiv; 50 = 1 - h 5 h 0 ( 1 - &epsiv; 10 ) ( 1 - &epsiv; 20 ) ( 1 - &epsiv; 30 ) ( 1 - &epsiv; 40 ) = 0 . 324 ;
Subsequently, in step 9, under calculating current working, the draught pressure P of each frame i={ 1163.63,801.52,718.43,680.89,807.75}t, rolling power F i={ 1744.85,2262.24,2331.41,2001.61,4159.23}kw, slip factor ψ i={ 0.121,0.287,0.328,0.252,0.324}, relative power surplus w i={ the exit plate shape value shape=9.68I of 0.651,0.548,0.534,0.6,0.168}, last frame band steel;
Subsequently, in step 10, inequality is judged whether set up, obvious inequality is set up, then proceed to step 11 simultaneously;
Subsequently, in a step 11, under calculating current working, each frame plucking comprehensive descision index λ i=0.728,2.710,4.821,5.323,11.68}, wherein rate factor alpha=1.0, γ=0.5, in emulsion, iron powder is to Intrusion Index β=0.75 of plucking probability of happening, and the strength of materials is to influence coefficient η=0.4 of plucking probability of happening;
Finally, in step 12, the optimization object function under current rolling schedule is calculated F = A &CenterDot; &Sigma; i = 1 n ( &lambda; i - &lambda; &OverBar; ) 2 + ( 1 - A ) &CenterDot; &lambda; &OverBar; = 6 . 656 , &lambda; &OverBar; = 1 5 &Sigma; i = 1 5 &lambda; i = 5.052 , Wherein A=0.5;
Subsequently, in step 13, judge whether Powell condition is set up (namely judging that whether objective function F is minimum), and obvious condition is false, adjustment ε i0, T i0, proceed to step 8;
Finally, at step 14, optimum rolling procedure ε i is exported y={ 0.3,0.387,0.356,0.348,0.278}, T iy={ 137.59,152.70,151.70,155.82}MPa completes the rolling procedure integrated optimization and setting that tandem mills is target with plucking control.
The reduction system that this enforcement and conventional method obtain is sets forth at Fig. 4 and table 2, the distribution situation of tension schedule and plucking comprehensive descision index, and optimize the distribution situation of last rack outlet plate shape, as shown in Figure 4, plate shape value for characterizing last rack outlet strip shape quality drops to 9.17I from 10.44I, have dropped 12.16%, can be found out by table 2, object function for characterizing galling defect probability of happening drops to 5.930 from 6.683, have dropped 11.27%, illustrate that correlation technique of the present invention can be good at reducing the probability that in high-speed rolling process, galling defect occurs, improve the quality on band steel exports surface.
Table 2: the rolling procedure complex optimum result of embodiment 2 and conventional method

Claims (2)

1. the tandem mills rolling procedure comprehensive optimization method that is target with plucking control, is characterized in that: it comprises the following step performed by computer:
A () collects capital equipment and the technological parameter of five Stands Cold Tandem Mill groups, comprise the following steps:
A1) collect the main equipment parameters of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame working roll roller footpath D wi, i=1,2 ... 5,1-5# frame backing roll roller footpath D bi, 1-5# frame working roller distribution Δ D wij(j is bar unit number), 1-5# frame backing roll roll shape distribution Δ D bij, 1-5# frame working roll barrel length L wi, 1-5# frame backing roll barrel length L bi, 1-5# frame working roll bending cylinder centre-to-centre spacing l wi, 1-5# frame backing roll housing screw centre-to-centre spacing l bi;
A2) collect the technology characteristics parameter of five Stands Cold Tandem Mill groups, mainly comprise: 1-5# frame permits maximum draught pressure P maxi, 1-5# frame permits maximum rolling power F maxi, the maximum positive bending roller force of 1-5# frame working roll the maximum negative bending roller force of 1-5# frame working roll 1-5# frame relative power surplus difference license maximum uncoiler uncoiling tension T 0, coiling machine curl tension T 5, the maximum outlet tension force T that allows of 1-4# frame relevant device maxi, the minimum outlet tension force T that allows of 1-4# frame relevant device mini, specific standard strip-rolling time 1-5# machine frame rolling mill maximum depression rate ε allowable imax, specific standard strip-rolling time 1-5# machine frame rolling mill minimum reduction ratio ε allowable imin, critical slip factor ψ *, last rack outlet maximum plate shape value shape *, there is the emulsion iron content critical value of galling defect safety coefficient ξ;
A3) collect the technological parameter of band to be rolled, mainly comprise the initial strength σ of band s0, strain hardening coefficient k s, the width B of band, the thickness h of supplied materials 0, finished product thickness h 5, 5# frame muzzle velocity V 5;
A4) collect main technique lubricating regime parameter, mainly comprise each frame emulsion flow setting value flow i, emulsion initial temperature T d, concentration of emulsion used C, emulsion iron content
B procedure parameter involved in () definition rolling schedule optimization process, mainly comprises the best reduction distribution value ε of 1-5# frame iy, 1-4# frame the best outlet tension force setting value T iy, 1-5# frame reduction ratio setting value ε i0, 1-4# rack outlet tension force setting value T i0, 1-5# frame draught pressure P i, 1-5# frame rolling power F i, 1-5# frame slip factor ψ i, 1-5# frame relative power surplus w i, 1-5# machine frame rolling mill work roll bending power S iw, last frame band steel exit plate shape value shape;
C (), in order to improve the regulating power of unit to exit plate shape to greatest extent, makes the i-th machine frame rolling mill work roll bending power S iw = S iw max + - S iw max - 2 ;
(d) given 1-4# frame reduction ratio ε i0with 1-4# rack outlet tension force T i0initial value;
E () calculates the 5th frame reduction ratio initial value &epsiv; 50 = 1 - h 5 h 0 ( 1 - &epsiv; 10 ) ( 1 - &epsiv; 20 ) ( 1 - &epsiv; 30 ) ( 1 - &epsiv; 40 ) ;
F () calculates current working under, the draught pressure P of each frame i, rolling power F i, slip factor ψ i, last frame band steel exit plate shape value shape;
G () judges inequality F i < &xi; F max i P i < &xi; P max i &psi; i < &xi; &psi; * max ( w i ) - min ( w i ) < w max * shape < &xi; shape * Whether set up simultaneously, if inequality is set up, then proceed to step (h); If inequality is false, then redistributes the initial value of reduction ratio and outlet tension force, proceed to step (j);
H () calculates current working under, each frame plucking comprehensive descision index λ ivalue;
I () calculates the optimization object function under current rolling schedule a is weight coefficient, A=0.35-0.65, wherein represent the uniformity of each frame revised plucking comprehensive descision index, represent the overall numerical value of each frame revised plucking comprehensive descision index;
J () judges whether Powell condition is set up, namely judge that whether objective function F is minimum, if Powell condition is set up, then makes ε iyi0, T iy=T i0, proceed to step (k), otherwise adjustment ε i0, T i0, proceed to step (e);
K () exports optimum rolling procedure ε iy, T iy, complete the rolling schedule optimization setting of five Stands Cold Tandem Mill group preventing ink tailings.
2. a kind of tandem mills according to claim 1 rolling procedure comprehensive optimization method that is target with plucking control, it is characterized in that: in described step (h), the computation model of plucking comprehensive descision index is:
&lambda; = &psi; &CenterDot; ( &gamma;V ) &alpha; &CenterDot; [ ( &rho; F e &rho; F e 0 ) &beta; - 1 ] &CenterDot; ln ( &eta; &sigma; s )
λ in formula-plucking comprehensive descision index;
ψ-slip factor;
&psi; = 1 4 &mu; ( &Delta;h R &prime; + T in - T out P )
μ-coefficient of friction;
V-band steel exports speed;
Δ h-drafts;
R '-working roll flattens radius;
T in-entrance tension force;
T out-outlet tension force;
P-draught pressure;
α, γ-rate coefficient, closely related with the characteristic of cold continuous rolling, α=0.8-1.2, γ=0.4-0.6;
actual iron powder content in-emulsion;
-there is the emulsion iron content critical value of galling defect;
In β-emulsion, iron powder is to the Intrusion Index of plucking probability of happening, β=0.7-0.8;
σ sthe average deformation drag of-frame inlet/outlet band;
η-strength of materials to the influence coefficient of plucking probability of happening, η=0.35-0.45.
CN201310562412.XA 2013-11-12 2013-11-12 Rolling schedule comprehensive optimization method for cold continuous rolling unit taking scratch prevention as objective CN103586286B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310562412.XA CN103586286B (en) 2013-11-12 2013-11-12 Rolling schedule comprehensive optimization method for cold continuous rolling unit taking scratch prevention as objective

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310562412.XA CN103586286B (en) 2013-11-12 2013-11-12 Rolling schedule comprehensive optimization method for cold continuous rolling unit taking scratch prevention as objective

Publications (2)

Publication Number Publication Date
CN103586286A CN103586286A (en) 2014-02-19
CN103586286B true CN103586286B (en) 2015-06-10

Family

ID=50076722

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310562412.XA CN103586286B (en) 2013-11-12 2013-11-12 Rolling schedule comprehensive optimization method for cold continuous rolling unit taking scratch prevention as objective

Country Status (1)

Country Link
CN (1) CN103586286B (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104858241B (en) * 2014-02-20 2017-01-04 宝山钢铁股份有限公司 A kind of emulsion flow comprehensive optimization method of tandem mills paper-thin strip rolling
CN105312321A (en) * 2014-07-31 2016-02-10 宝山钢铁股份有限公司 Method for optimizing technological lubrication system of cold continuous rolling unit
CN105234188B (en) * 2015-10-29 2017-05-31 燕山大学 Mill speed optimization method in cold continuous rolling process with Result coutrolling as target
CN105234186B (en) * 2015-10-29 2017-04-05 燕山大学 Cold continuous rolling process is controlled to the rolling schedule optimization method of target with electric power consumption per ton steel
CN106807757B (en) * 2015-11-27 2019-01-15 宝山钢铁股份有限公司 It is suitable for the roll surface roughness optimization of cold continuous rolling process with roller method
CN106311754B (en) * 2016-09-14 2018-07-17 燕山大学 Emulsion flow dynamics integrated optimization and setting method suitable for tandem mills
CN108067503A (en) * 2016-11-14 2018-05-25 上海梅山钢铁股份有限公司 A kind of cold continuous rolling OPTIMIZATION OF ROLLING method
CN108144962A (en) * 2016-12-05 2018-06-12 上海梅山钢铁股份有限公司 A kind of cold continuous rolling OPTIMIZATION OF ROLLING method
CN108580558A (en) * 2018-04-10 2018-09-28 燕山大学 Roller technology parameter optimization setting method under the conditions of secondary cold-rolling unit small deformation
CN109127737A (en) * 2018-04-10 2019-01-04 燕山大学 The roller technology optimization method for target is surely rolled under DCR unit large deformation
CN111495980A (en) * 2019-01-31 2020-08-07 宝山钢铁股份有限公司 Method for setting reduction schedule of cold continuous rolling unit with vibration suppression as target
CN110205476B (en) * 2019-07-02 2021-04-16 宝钢湛江钢铁有限公司 Adjusting method for cooling fan in over-aging section of continuous annealing unit

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003001315A (en) * 2001-06-21 2003-01-07 Sumitomo Metal Ind Ltd Cold rolling method for steel strip

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
五机架冷连轧机轧制规程的优化计算及实现;李强等;《工业控制计算机》;20071130;第20卷(第11期);58-60 *
基于罚函数法的冷连轧轧制规程优化设计;杨景明等;《钢铁研究学报》;20080930;第20卷(第09期);54-57 *

Also Published As

Publication number Publication date
CN103586286A (en) 2014-02-19

Similar Documents

Publication Publication Date Title
CN1311922C (en) Computer-aided method for determing desired values for controlling elements of profile and surface evenness
KR101149927B1 (en) Rolling load prediction learning method for hot plate rolling
Liu Prospects for variable gauge rolling: technology, theory and application
CN100446883C (en) Flattening process for steel strip
Heidari et al. Optimization of cold rolling process parameters in order to increasing rolling speed limited by chatter vibrations
CN102240676B (en) Rolling device for preparing high-toughness high-formability magnesium alloy sheet strip coil
Paralikas et al. Investigation of the effect of roll forming pass design on main redundant deformations on profiles from AHSS
Liu et al. Multi-objective optimization of the operating conditions in a cutting process based on low carbon emission costs
CN104338748B (en) A kind of two passage milling methods for variable-thickness strip rolling
Abdullah et al. The effect of feed rate and cutting speed to surface roughness
CN106363023B (en) A kind of tandem mills emulsion differentiation flow establishing method
Romantsev et al. Development of multipass skew rolling technology for stainless steel and alloy pipes’ production
CN103934278B (en) A kind of hot fine rolling band steel method for controlling thickness
CN1483526A (en) Mthod for controlling roller gap of precision rolling machine of band steel
KR102028502B1 (en) Rolling method of plate with different thickness in the longitudinal direction
CN101733289A (en) Method for dynamically setting tandem rolling schedule of hot rolling strip
CN101412043B (en) Integrated control method of double-six roller UCM type flattening machine group plate shape
Yang et al. Genetic algorithm-based optimization used in rolling schedule
CN103418619B (en) Cold-rolled strip steel plate shape prediction control method
Kukhar et al. Experimental Research and Method for Calculation of'Upsetting-with-Buckling'Load at the Impression-Free (Dieless) Preforming of Workpiece
Hagiwara et al. Contour finish turning operations with coated grooved tools: optimization of machining performance
CN100409242C (en) Optimizing method for preventing and controlling scrab in cold band-steel continuous milling machine
CN101869914A (en) Thickness control method of finish roller strip steel and device
CN101513647B (en) Method for leveling strip produced by secondary cold rolling unit
CN104785543B (en) A kind of hot-strip crown feedback control method based on moving average filter

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
GR01 Patent grant
C14 Grant of patent or utility model
C41 Transfer of patent application or patent right or utility model
TR01 Transfer of patent right

Effective date of registration: 20160926

Address after: 252500 No. 389 Zhenxing East Road, Shandong, Guanxian

Patentee after: Shandong Guanzhou Co., Ltd.

Address before: Hebei Street West Harbor area, 066004 Hebei city of Qinhuangdao province No. 438

Patentee before: Yanshan University