CN114309082B - Reduction schedule optimization method for rolling steel by adopting five-pass mode in six-frame cold continuous rolling - Google Patents
Reduction schedule optimization method for rolling steel by adopting five-pass mode in six-frame cold continuous rolling Download PDFInfo
- Publication number
- CN114309082B CN114309082B CN202111282755.1A CN202111282755A CN114309082B CN 114309082 B CN114309082 B CN 114309082B CN 202111282755 A CN202111282755 A CN 202111282755A CN 114309082 B CN114309082 B CN 114309082B
- Authority
- CN
- China
- Prior art keywords
- rolling
- frame
- stand
- plate shape
- strength steel
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 221
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 147
- 239000010959 steel Substances 0.000 title claims abstract description 147
- 230000009467 reduction Effects 0.000 title claims abstract description 72
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000005457 optimization Methods 0.000 title claims abstract description 37
- 230000008569 process Effects 0.000 claims abstract description 30
- 238000009826 distribution Methods 0.000 claims abstract description 16
- 239000013072 incoming material Substances 0.000 claims description 9
- 230000009191 jumping Effects 0.000 claims description 7
- 230000008901 benefit Effects 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 230000006872 improvement Effects 0.000 description 9
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 229910000797 Ultra-high-strength steel Inorganic materials 0.000 description 1
- 238000005097 cold rolling Methods 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 239000002436 steel type Substances 0.000 description 1
Landscapes
- Metal Rolling (AREA)
Abstract
The application discloses a reduction schedule optimization method for rolling steel by adopting a five-pass mode in six-frame cold continuous rolling, which comprises the following steps: s1, collecting basic equipment parameters of a six-frame cold continuous rolling unit and relevant parameters of high-strength steel to be rolled; s2, defining rolling schedule optimization process parameters according to basic equipment parameters of the six-frame cold continuous rolling unit and related parameters of high-strength steel to be rolled; s3, defining an outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on a six-frame cold continuous rolling unit, and calculating an optimized objective function after rolling a stable reduction allocation optimized objective function; s4, outputting the outlet plate shape of the high-strength steel rolled in the five-pass mode and the rolling stable rolling reduction distribution result based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function. The application fully plays the advantages of the small-roller-diameter rolling mill under the rolling mode of one pass reduction, and achieves the aims of reducing energy consumption and improving production efficiency on the premise of ensuring rolling stability and finished product quality.
Description
Technical Field
The application belongs to the technical field of high-strength steel cold rolling, and particularly relates to a reduction schedule optimization method for rolling steel by adopting a five-pass mode in six-frame cold continuous rolling.
Background
At present, a five-stand cold continuous rolling unit which is one of the main forces of domestic rolling of extremely-thin high-strength strip steel inevitably has the problems of overrun of rolling force and the like in the rolling process, and a single-stand rolling machine has the defects of low production efficiency, unstable rolling and the like in the other main force. In order to roll thinner and higher-strength plates, six-rack cold continuous rolling units are newly built in the industry for rolling ultrahigh-strength steel, wherein five racks are conventional rolling mills, a small-roller-diameter rolling mill is additionally added, in actual production, the six-rack cold continuous rolling units are simultaneously responsible for rolling other steel types, such as high-strength steel and the like, and based on the comprehensive consideration of energy consumption saving and stable rolling, the six-rack cold continuous rolling units adopt a five-pass mode for rolling the high-strength steel. Therefore, the equipment and the process characteristics of the six-frame cold continuous rolling unit are fully combined, so that the optimal rolling regulation is given according to the rolling mode, the cost is saved, the product quality and the rolling stability are ensured, and the technical problem of urgent need of the newly-built six-frame cold continuous rolling unit is solved.
Disclosure of Invention
In order to solve at least one of the technical problems, the application provides a reduction rule optimization method for rolling steel by adopting a five-pass mode in six-frame cold continuous rolling.
The aim of the application is achieved by the following technical scheme:
the application provides a reduction schedule optimization method for rolling steel by adopting a five-pass mode in six-frame cold continuous rolling, which comprises the following steps:
s1, collecting basic equipment parameters of a six-frame cold continuous rolling unit and relevant parameters of high-strength steel to be rolled;
s2, defining rolling schedule optimization process parameters according to basic equipment parameters of the six-frame cold continuous rolling unit and related parameters of high-strength steel to be rolled;
s3, defining an outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on a six-frame cold continuous rolling unit, and calculating an optimized objective function after rolling a stable reduction allocation optimized objective function;
and S4, outputting a reduction distribution result of the outlet plate shape and rolling stability of the high-strength steel rolled by adopting a five-pass mode based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function.
As a further improvement, in the step S1, the basic equipment parameters of the six-stand cold continuous rolling mill include an inlet tension, a maximum rolling pressure allowable value, a working roll diameter of each stand, a maximum rolling reduction of each stand, a minimum rolling reduction of each stand, a front tension of each stand, an average rolling reduction of each stand, a friction coefficient of each stand, an outlet speed of each stand, a distance between each stand and an adjacent stand, and a natural frequency of each stand system in the five-pass mode of the six-stand cold continuous rolling mill.
As a further improvement, in the step S1, the relevant parameters of the high-strength steel to be rolled include a strip steel incoming thickness, a strip steel outlet thickness, a strip steel width, a strip steel strength, a strip steel yield limit, a young modulus of the strip steel, a strip steel poisson ratio, a high-strength steel slip factor critical value, a high-strength steel vibration coefficient critical value, a strip steel inlet plate shape and a maximum allowable value of each rack outlet plate shape.
As a further improvement, in the step S1, the rolling schedule optimization process parameters include rolling pressure of each stand, actual outlet plate shape of each stand, target outlet plate shape of each stand, outlet thickness of each stand, and rolling stable reduction distribution result based on outlet plate shape and rolling stability in five-pass mode of the six-stand cold continuous rolling unit.
As a further improvement, the calculating the optimization objective function after defining the optimization objective function includes the steps of:
s31, setting an initial objective function of the optimizing process, and a step length, a step length multiple and a step length maximum value of the optimizing process;
s32, setting the initial frame number and the initial value of step length multiples of the six-frame cold continuous rolling unit in the optimizing process;
s33, obtaining the thickness of the outlet of the machine frame according to the minimum rolling reduction of the machine frame and the step length multiple of the optimizing process;
s34, calculating rolling pressure, actual outlet plate shape, target outlet plate shape, high-strength steel slip factor and high-strength steel vibration coefficient of the stand;
s35, when the rolling pressure of the stand is smaller than or equal to a maximum rolling pressure allowable value, the actual outlet plate shape of the stand is smaller than or equal to a maximum stand outlet plate shape allowable value, the high-strength steel slip factor is smaller than or equal to a high-strength steel slip factor critical value and the stand vibration coefficient is smaller than or equal to a high-strength steel vibration coefficient critical value, obtaining the stand outlet thickness according to the incoming material thickness of the strip steel, the strip steel outlet thickness and the stand outlet thickness, otherwise, jumping to the step S33;
s36, when the minimum rolling reduction of the stand is smaller than or equal to the outlet thickness of the stand and the outlet thickness of the stand is smaller than or equal to the maximum rolling reduction of the stand, calculating stand rolling pressure, actual outlet plate shape, target outlet plate shape, high-strength steel slip factor and high-strength steel vibration coefficient corresponding to the current outlet thickness of the stand;
and S37, calculating an optimization objective function when the rolling pressure of the stand is smaller than or equal to a maximum rolling pressure allowable value, the actual outlet plate shape is smaller than or equal to a stand outlet plate shape maximum allowable value, the high-strength steel slip factor of the stand is smaller than or equal to a high-strength steel slip factor critical value and the vibration coefficient of the stand is smaller than or equal to a high-strength steel vibration coefficient critical value.
As a further improvement, the computational optimization objective function is calculated by the following formula:
wherein G is γ (X γ ) To optimize the objective function, X γ To optimize the parameters of the objective function beta 1 Fine tuning influence coefficients alpha are distributed for conventional rolling mill reduction in five-pass mode of six-frame cold continuous rolling unit 1 The control influence coefficient is realized for the slip factor reduction under the five-pass mode of the six-frame cold continuous rolling mill group,is the critical value of the slip factor of the high-strength steel, the frame numbers of the six frames i and psi ui Is the i-th frame high-strength steel slip factor lambda i Shape is the target outlet plate shape of the ith rack i Is the actual outlet plate shape of the ith rack, alpha 2 The control influence coefficient, alpha, of the outlet plate shape reduction under the five-pass mode of a six-frame cold continuous rolling unit 3 For the vibration factor reduction control influencing coefficient in the five-pass mode of the six-frame cold continuous rolling unit, the control influencing coefficient is +.>Is the boundary value of the vibration coefficient delta of high-strength steel ui Is the vibration coefficient of the ith frame, beta 2 The method distributes fine adjustment influence coefficients for the reduction of the small-roller-diameter rolling mill in a five-pass mode of a six-frame cold continuous rolling unit.
As a further improvement, in the step S36, the rolling pressure of the stand is calculated, where the formula is:
P i ＝f P (h 0 ,Δh i ,σ c ,B,D wi )
wherein: p (P) i Is the ith stand rolling pressure, f P Is a function of the rolling pressure of the stand, Δh i Is the pressing down amount of the ith frame, h 0 Is the thickness sigma of the incoming material of the strip steel c Is the yield limit of the strip steel, B is the width of the strip steel, D wi Is the working roll diameter of the ith machine frame.
As a further improvement, in the step S36, an actual outlet plate shape is calculated, where the formula is:
shape i ＝f s (h 0 ,Δh i ,σ c ,B,D wi ,T i )
wherein, shape i Is the actual outlet plate shape of the ith rack, f s Is a function of the actual outlet plate shape, T i Is the front tension of the ith frame.
Calculating the target outlet plate shape, wherein the formula is as follows:
λ i ＝f λ (h 0 ,Δh i ,r mi ,B,D wi ,T i )
wherein lambda is i Is the target outlet plate shape of the ith rack, f λ Is a function of the target exit plate shape, r mi Is the average rolling reduction rate of each stand.
As a further improvement, in the step S36, a slip factor of the high-strength steel is calculated, where the formula is:
wherein, psi is ui Is the slip factor of high-strength steel, lambda gi Is the coefficient of influence of the ith frame working condition on the slip.
As a further improvement, in the step S36, a vibration coefficient of the high-strength steel is calculated, where the formula is:
wherein delta ui Is the vibration coefficient of high-strength steel, τ i Is the influence coefficient of the working condition of the ith frame on vibration, sigma c Is the yield limit of the strip steel, L i Is the spacing omega between the ith rack and the adjacent rack i Is the natural frequency of the ith rack system, R wi Is the work roll radius of the ith frame.
The application provides a reduction schedule optimization method for rolling steel by adopting a five-pass mode in six-frame cold continuous rolling, which comprises the following steps: s1, collecting basic equipment parameters of a six-frame cold continuous rolling unit and relevant parameters of high-strength steel to be rolled; s2, defining rolling schedule optimization process parameters according to basic equipment parameters of the six-frame cold continuous rolling unit and related parameters of high-strength steel to be rolled; s3, defining an outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on a six-frame cold continuous rolling unit, and calculating an optimized objective function after rolling a stable rolling reduction allocation optimized objective function; s4, outputting the outlet plate shape of the high-strength steel rolled in the five-pass mode and the rolling stable rolling reduction distribution result based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function. By the technical application of the application, the six-stand cold continuous rolling unit reasonably distributes the rolling reduction of the other five stands in a rolling mode with one pass reduced, so that the advantages of the small-roller-diameter rolling mill are fully exerted, and the purposes of reducing energy consumption and improving production efficiency are achieved on the premise of ensuring rolling stability and quality of finished products.
Drawings
The application will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the application, and other drawings may be obtained by those skilled in the art without inventive effort from the following figures.
FIG. 1 is a schematic flow chart of the present application.
Detailed Description
In order to make the technical solution of the present application better understood by those skilled in the art, the present application will be described in further detail with reference to the accompanying drawings and the specific embodiments, and it should be noted that the embodiments of the present application and features in the embodiments may be combined with each other without conflict.
Referring to fig. 1, the embodiment of the application provides a reduction schedule optimization method for rolling steel by adopting a five-pass mode in six-stand cold continuous rolling, which comprises the following steps:
s1, collecting basic equipment parameters of a six-frame cold continuous rolling mill and relevant parameters of high-strength steel to be rolled, wherein the basic equipment parameters of the six-frame cold continuous rolling mill comprise inlet tension, maximum rolling pressure allowable values, working roll diameters of all frames, maximum rolling reduction of all frames, minimum rolling reduction of all frames, front tension of all frames, rolling average rolling reduction of all frames, friction coefficients of all frames, outlet speeds of all frames, spacing between all frames and adjacent frames and inherent frequencies of all frame systems in a five-pass mode of the six-frame cold continuous rolling mill. The relevant parameters of the high-strength steel to be rolled comprise the incoming material thickness of the strip steel, the outlet thickness of the strip steel, the width of the strip steel, the strength of the strip steel, the yield limit of the strip steel, the Young modulus of the strip steel, the Poisson's ratio of the strip steel, the critical value of the slip factor of the high-strength steel, the critical value of the vibration coefficient of the high-strength steel, the maximum allowable value of the strip steel inlet plate shape and the strip steel outlet plate shape of each rack.
S2, defining rolling schedule optimization process parameters according to basic equipment parameters of the six-frame cold continuous rolling mill unit and relevant parameters of high-strength steel to be rolled, wherein the rolling schedule optimization process parameters comprise rolling pressure of each frame, actual outlet plate shape of each frame, target outlet plate shape of each frame, outlet thickness of each frame, and rolling stable reduction distribution result of outlet plate shape and rolling stability under five-pass mode based on the six-frame cold continuous rolling mill unit is X γ ＝{Δh 1γ ,Δh 2γ ,Δh 3γ ,Δh 4γ ,Δh 5γ }；
S3, defining the outlet plate shape and rolling stable reduction distribution optimization objective function of rolling high-strength steel by adopting a five-pass mode based on a six-frame cold continuous rolling unit as G γ (X γ ) The post-calculation optimization objective function comprises the following steps:
s31, setting an initial objective function G in the optimizing process γ (X γ ) 0 Step size of optimizing processStep multiple k i And step maximum k max 。
S32, setting the initial frame number of the six-frame cold continuous rolling unit in the optimizing process, namely i=1, and the initial value of the step multiple, namely k i ＝0。
S33, obtaining the thickness of the outlet of the machine frame according to the minimum rolling reduction of the machine frame, the step length and the step length multiple in the optimizing process, wherein the formula is as follows:
wherein i is the number of the representative frame, Δh i Is the depression of the ith frame, deltah imin Is the minimum amount of depression of the ith frame,is the step length, k of the optimizing process i Is a multiple of the step size.
S34, calculating the rolling pressure of the stand, wherein the formula is as follows:
P i ＝f P (h 0 ,Δh i ,σ c ,B,D wi )
wherein: p (P) i Is the ith stand rolling pressure, f P Is a function of the rolling pressure of the stand, h 0 Is the thickness sigma of the incoming material of the strip steel c Is the yield limit of the strip steel, B is the width of the strip steel, D wi Is the working roll diameter of the ith frame.
The actual exit plate shape is calculated, the formula is:
shape i ＝f s (h 0 ,Δh i ,σ c ,B,D wi ,T i )
wherein, shape i Is the actual outlet plate shape of the ith rack, f s Is a function of the actual outlet plate shape, T i Is the front tension of the ith frame.
Calculating the target outlet plate shape, wherein the formula is as follows:
λ i ＝f λ (h 0 ,Δh i ,r mi ,B,D wi ,T i )
wherein lambda is i Is the target outlet plate shape of the ith rack, f λ Is a function of the target exit plate shape, r mi Is the average rolling reduction rate of each stand.
Calculating the slip factor of the high-strength steel, wherein the formula is as follows:
wherein, psi is ui Is the slip factor of high-strength steel, lambda gi Is the coefficient of influence of the ith frame working condition on the slip.
Calculating the vibration coefficient of the high-strength steel, wherein the formula is as follows:
wherein delta ui Is the vibration coefficient of high-strength steel, τ i Is the influence coefficient of the working condition of the ith frame on vibration, sigma c Is the yield limit of the strip steel, L i Is the spacing omega between the ith rack and the adjacent rack i Is the natural frequency of the ith rack system, R wi Is the radius of the work roll of the ith frame, i.e. R wi ＝D wi /2。
S35, when the rolling pressure of the stand is smaller than or equal to the maximum rolling pressure allowable value, the actual outlet plate shape of the stand is smaller than or equal to the maximum outlet plate shape allowable value of the stand, the high-strength steel slip factor is smaller than or equal to the high-strength steel slip factor critical value, and the stand vibration coefficient is smaller than or equal to the high-strength steel vibration coefficient critical value (namely P i ≤P imax ,shape i ≤shape imax ,When established), judge i<If 4 is true, i=i+1, and the process goes to step S33; when not established, the rolling reduction of the 5 th frame is obtained according to the incoming material thickness of the strip steel, the outlet thickness of the strip steel and the rolling reduction of the first 4 frames,the formula is:
wherein Δh 5 Is the 5 th frame depression, h 5 The plate-shaped outlet thickness, otherwise, jump to step S33.
S36, when the minimum rolling reduction of the rack is smaller than or equal to the thickness of the outlet of the rack and the thickness of the outlet of the rack is smaller than or equal to the maximum rolling reduction of the rack (namely delta h imin ≤Δh 5 ≤Δh imax When established), calculating rolling pressure of the stand, actual outlet plate shape, target outlet plate shape, high-strength steel slip factor and high-strength steel vibration coefficient corresponding to the current outlet thickness of the stand; if not, then k i ＝k i +1, step S33.
S37, when the rolling pressure of the stand is smaller than or equal to the maximum rolling pressure allowable value, the actual outlet plate shape is smaller than or equal to the maximum allowable value of the outlet plate shape of the stand, the high-strength steel slip factor of the stand is smaller than or equal to the critical value of the high-strength steel slip factor, and the vibration coefficient of the stand is smaller than or equal to the critical value of the vibration coefficient of the high-strength steel (namely P) i ≤P imax ,shape i ≤shape imax ,When established), the optimization objective function formula is calculated as follows:
wherein G is γ (X γ ) To optimize the objective function, X γ To optimize the parameters of the objective function beta 1 The method is characterized in that a fine adjustment influence coefficient alpha is distributed for the reduction of a conventional rolling mill in a five-pass mode of a six-stand cold continuous rolling unit 1 The control influence coefficient is realized for the slip factor reduction under the five-pass mode of the six-frame cold continuous rolling unit,is the critical value of the slip factor of high-strength steel, alpha 2 The control influence coefficient, alpha, of the outlet plate shape reduction under the five-pass mode of a six-frame cold continuous rolling unit 3 The control influence coefficient is controlled for vibration factor reduction under five-pass mode of six-frame cold continuous rolling unit, and the control coefficient is +.>Is the boundary value of the vibration coefficient of high-strength steel, beta 2 The method is used for distributing the fine adjustment influence coefficient for the reduction of the small-roller-diameter rolling mill in the five-pass mode of the six-frame cold continuous rolling unit.
S4, outputting the outlet plate shape of the high-strength steel rolled in a five-pass mode and the stable rolling reduction distribution result based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function, wherein the method comprises the following steps:
s41, when the optimization objective function is smaller than the initial objective function of the optimization process (i.e. G γ (X γ )＜G γ (X γ ) 0 When established), the optimization objective function is assigned to the initial objective function G of the optimizing process γ (X γ ) 0 ＝G γ (X γ ) And i=4.
S42, when the step multiple is smaller than the maximum step value (i.e., k i ＜k max When established) then k i ＝k i +1, jumping to step S33; if not, let k i ＝0。
S43, when the current frame number i of the optimizing process is larger than 1, i=i-1, and jumping to the step S42; if not, outputting X which is the stable rolling reduction distribution result of the outlet plate shape of the high-strength steel rolled by adopting the five-pass mode based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function γ ＝{Δh 1 ,Δh 2 ,Δh 3 ,Δh 4 ,Δh 5 }。
The following is an example of a reduction schedule optimization method for rolling high-strength steel in a five-pass mode by a six-frame cold continuous rolling unit:
s1, under a five-pass mode of a six-rack cold continuous rolling unit (namely, the original 3 rd rack does not participate in rolling, and the rest racks are sequentially ordered, i is a rack number, i=1, 2,3,4, 5), and collecting basic equipment parameters comprises: 6. frame cold continuous rolling unitWorking roll diameter D of each frame in five-pass mode wi = {455, 455, 360, 455, 455}, so the work roll radius is R wi ＝D wi 2= {227.5, 227.5, 180, 227.5, 227.5} mm, i-th frame maximum depression Δh imax = {1.2,0.9,0.6,0.12,0.04} mm, i-th frame minimum depression Δh imin = {0.4,0.3,0.2,0.05,0.02} mm, inlet tension T 0 Front tension T of i-th frame =245 kN i = {376, 401, 293, 271, 58} kn, maximum rolling pressure allowable value P imax = {27000, 27000, 27000, 27000, 27000} kn, i-th stand rolling average reduction r mi = {21%,15%,20%,5%,3% }, i-th frame friction coefficient μ i ＝{0.132，0.135，0.131，0.123，0.118 } Ith gantry exit velocity v ri = {89, 155, 210, 290, 324} m/min, spacing L of the ith rack from adjacent racks i = {5500, 8250, 8250, 5500} mm, i-th gantry system natural frequency ω i ＝{84，92，81，110，124}HZ。
And then collecting relevant parameters of the high-strength steel to be rolled, including: thickness h of strip steel incoming material 0 =2.533 mm, strip exit thickness h 5 Strip width b=1080 mm =0.850 mm, strip yield limit σ c 600MPa, young modulus e=210 MPa of strip, poisson ratio v=0.3 of strip, critical value of slip factor of high-strength steelHigh-strength steel vibration coefficient limit value>Strip steel inlet plate lambda 0 =32i, I-th rack exit plate maximum allowable value shape imax ＝{27,25,21,17,12}I。
S2, defining parameters of a rolling schedule optimization process, wherein the method comprises the following steps: setting the rolling force of each stand to be P i The actual outlet plate shape of each frame is shape i Target outlet plate shape value lambda for each rack i Thickness h of outlet of each frame i Press-down distribution based on each stand outlet plate shape and rolling stabilizationThe result is X γ ＝{Δh 1γ ,Δh 2γ ,Δh 3γ ,Δh 4γ ,Δh 5γ }。
S3, defining the outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on a six-frame cold continuous rolling unit and rolling stable reduction distribution optimization objective function as G γ (X γ ) The post-calculation optimization objective function is specified as follows:
s31, setting initial G γ (X γ ) 0 =100, set step sizeStep multiple k i Maximum value k max ＝100。
S32, let i=1; let k i ＝0。
S33, obtaining the thickness delta h of the outlet of the frame 1 ＝0.4mm。
S34, calculating rolling pressure P of the stand 1 Actual exit plate shape =1980 kN 1 Target exit plate shape λ=26.4i 1 =25i, high-strength steel slip factor ψ u1 =0.25, vibration coefficient δ u1 =0.48. In the formula, h 1 ＝2.133mm，λ gi ＝0.8，R wi ＝227.5mm，h 5 ＝0.850mm；
S35, when P 1 ≤27000kN，shape 1 ≤27，ψ u1 ≤0.4，δ u1 Judging that i is less than 4 when the value is less than or equal to 0.82 is established? If so, i=i+1, and the process goes to step S33 to loop; when not established, calculating Δh 5 ＝0.672mm。
S36, judging Δh 5 Is within the allowable range, i.e. Δh imin ≤Δh 5 ≤Δh imax When not established, let k i ＝k i +1, jumping to step S33, and cycling until the condition is satisfied; if true, calculate Δh 5 Corresponding P 5 ＝4500kN,shape 5 ＝11.1I,λ 5 ＝9.3I,ψ u5 ＝0.35,δ u5 ＝0.65。
S37, judge P 5 ≤27000kN,shape 5 ≤12I,ψ u5 ≤0.4,δ u5 Is less than or equal to 0.82 and is true,then calculate the optimization objective function G γ (X γ ) =10.4, where α 1 ＝0.4；α 2 ＝0.1；α 3 ＝0.5；β 1 ＝0.2； β 2 ＝0.6。
S4, outputting the outlet plate shape of the high-strength steel rolled by the six-rack-based cold continuous rolling unit in a five-pass mode and a stable rolling reduction distribution result corresponding to the minimum value of the optimized objective function, wherein the method comprises the following steps of:
s41, when inequality G γ (X γ )＜G γ (X γ ) 0 When in stand, let G γ (X γ ) 0 Let i=4, =10.4.
S42, when inequality k 4 ＜k max When established, then k 4 ＝k 4 +1, jumping to step S33, and looping; if not, let k be i ＝0。
S43, when i is more than 1 and is established, i=i-1, jumping to step S42, circulating until when i is not established, ending the circulation, and if not, outputting the outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on the six-frame cold continuous rolling mill set corresponding to the minimum value of the optimized objective function and the rolling stable reduction distribution result X γ ＝{0.616,0.534,0.436,0.071,0.026}mm。
The rolling reduction distribution is carried out on the outlet plate shape of each stand, the rolling reduction capacity of the small-roller-diameter rolling mill is fully exerted on the premise of not generating slipping and vibration, and other stands optimize rolling reduction by taking the rolling stability as the best target. Under the condition of ensuring stable rolling, the rolling reduction of other frames is reduced through the fine adjustment model, so that the advantages of the small-roller-diameter rolling mill are fully exerted, and the purposes of ensuring the rolling stability of the whole unit and improving the quality of finished products are achieved.
When the six-stand cold continuous rolling unit adopts a five-pass mode to roll high-strength steel, the slip factor and the vibration coefficient of the small-roll-diameter stand which are most likely to slip and vibrate are controlled below the critical values, and meanwhile, the slip and vibration trend of other conventional rolling mills is adjusted, so that the rolling stability is ensured, and the economic benefit of the whole unit is greatly improved.
In the description above, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced in other ways than those described herein, and therefore should not be construed as limiting the scope of the present application.
In summary, while the above-described preferred embodiments have been described, it should be noted that although various changes and modifications can be made by those skilled in the art, it is intended that such changes and modifications be included within the scope of the present application unless they depart from the scope of the present application.
Claims (1)
1. The rolling schedule optimization method for rolling steel by adopting a five-pass mode in six-frame cold continuous rolling is characterized by comprising the following steps of:
s1, collecting basic equipment parameters of a six-frame cold continuous rolling mill unit, wherein the basic equipment parameters comprise inlet tension, maximum rolling pressure allowable value, working roll diameter of each frame, maximum rolling reduction of each frame, minimum rolling reduction of each frame, front tension of each frame, rolling average rolling reduction of each frame, friction coefficient of each frame, outlet speed of each frame, distance between each frame and an adjacent frame and natural frequency of each frame system; the relevant parameters of the high-strength steel to be rolled comprise the incoming material thickness of the strip steel, the outlet thickness of the strip steel, the width of the strip steel, the strength of the strip steel, the yield limit of the strip steel, the Young modulus of the strip steel, the Poisson's ratio of the strip steel, the critical value of the slip factor of the high-strength steel, the critical value of the vibration coefficient of the high-strength steel, the maximum allowable value of the strip steel inlet plate shape and the maximum allowable value of the strip steel outlet plate shape of each rack;
s2, defining rolling schedule optimization process parameters including rolling pressure of each stand, actual outlet plate shape of each stand, target outlet plate shape of each stand, outlet thickness of each stand and rolling stable reduction distribution results based on outlet plate shape and rolling stability in a five-pass mode of the six-stand cold continuous rolling mill unit according to basic equipment parameters of the six-stand cold continuous rolling mill unit and relevant parameters of high-strength steel to be rolled;
s3, defining an outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on a six-frame cold continuous rolling unit, and calculating an optimized objective function after rolling a stable reduction allocation optimized objective function, wherein the method comprises the following steps:
s31, setting an initial objective function of the optimizing process, and a step length, a step length multiple and a step length maximum value of the optimizing process;
s32, setting the initial frame number and the initial value of step length multiples of the six-frame cold continuous rolling unit in the optimizing process;
s33, obtaining the thickness of the outlet of the machine frame according to the minimum rolling reduction of the machine frame and the step length multiple of the optimizing process;
s34, calculating rolling pressure, actual outlet plate shape, target outlet plate shape, high-strength steel slip factor and high-strength steel vibration coefficient of the stand,
the rolling pressure of the stand is calculated, and the formula is:
P i ＝f P (h 0 ,Δh i ,σ c ,B,D wi )
wherein: p (P) i Is the ith stand rolling pressure, f P Is a function of the rolling pressure of the stand, h 0 Is the thickness of the strip steel incoming material, delta h i The depression amount of the ith rack; sigma (sigma) c Is the yield limit of the strip steel, B is the width of the strip steel, D wi Is the roller diameter of the working roller of the ith frame;
the actual exit plate shape is calculated, the formula is:
shape i ＝f s (h 0 ,Δh i ,σ c ,B,D wi ,T i )
wherein, shape i Is the actual outlet plate shape of the ith rack, f s Is a function of the actual outlet plate shape, T i Is the front tension of the ith frame;
calculating the target outlet plate shape, wherein the formula is as follows:
λ i ＝f λ (h 0 ,Δh i ,r mi ,B,D wi ,T i )
wherein lambda is i Is the target outlet plate shape of the ith rack, f λ Is a function of the target exit plate shape, r mi Is the rolling average rolling reduction of each frame;
calculating the slip factor of the high-strength steel, wherein the formula is as follows:
wherein, psi is ui Is the i-th frame high-strength steel slip factor lambda gi Is the influence coefficient of the working condition of the ith frame on the slip, T i Is the front tension of the ith frame, T i-1 Is the back tension of the ith frame, P i Ith stand rolling pressure, mu i Is the friction coefficient of the ith frame;
calculating the vibration coefficient of the high-strength steel, wherein the formula is as follows:
wherein delta ui Is the i-th frame vibration coefficient, τ i Is the influence coefficient of the working condition of the ith frame on vibration, L i Is the spacing omega between the ith rack and the adjacent rack i Is the natural frequency of the ith rack system, R wi Is the radius of a working roll of the ith frame, and E is the elastic modulus; v (v) ri For the exit velocity of the product in the ith stand, h i-1 The thickness of the strip steel inlet of the ith rack;
s35, judging i when the rolling pressure of the stand is smaller than or equal to the maximum rolling pressure allowable value, the actual outlet plate shape of the stand is smaller than or equal to the maximum outlet plate shape allowable value of the stand, the high-strength steel slip factor is smaller than or equal to the high-strength steel slip factor critical value and the stand vibration coefficient is smaller than or equal to the high-strength steel vibration coefficient critical value<If 4 is true, i=i+1, and jump to step S33, wherein i is the representative rack number; when the rolling reduction is not established, the rolling reduction of the 5 th rack is obtained according to the incoming material thickness of the strip steel, the outlet thickness of the strip steel and the rolling reduction of the first 4 racks, and the formula is as follows:wherein Δh 5 Is the 5 th frame depression, h 5 Is the thickness of the plate-shaped outlet;
s36, when the minimum pressing-down amount of the stand is smallWhen the thickness of the outlet of the stand is equal to or less than the maximum rolling reduction of the stand, calculating the rolling pressure of the stand, the actual outlet plate shape, the target outlet plate shape, the high-strength steel slip factor and the high-strength steel vibration coefficient corresponding to the current outlet thickness of the stand; if not, then k i ＝k i +1, jump to step S33, where k i Is a multiple of the step length;
s37, when the rolling pressure of the stand is smaller than or equal to the maximum rolling pressure allowable value, the actual outlet plate shape is smaller than or equal to the maximum allowable value of the outlet plate shape of the stand, the high-strength steel slip factor of the stand is smaller than or equal to the high-strength steel slip factor critical value, and the vibration coefficient of the stand is smaller than or equal to the high-strength steel vibration coefficient critical value, calculating an optimization objective function according to the following formula:
wherein G is γ (X γ ) To optimize the objective function, X γ To optimize the parameters of the objective function beta 1 Fine tuning influence coefficients alpha are distributed for conventional rolling mill reduction in five-pass mode of six-frame cold continuous rolling unit 1 The control influence coefficient is realized for the slip factor reduction under the five-pass mode of the six-frame cold continuous rolling unit,is the critical value of the slip factor of the high-strength steel, psi ui Is the i-th frame high-strength steel slip factor lambda i Shape is the target outlet plate shape of the ith rack i Is the actual outlet plate shape of the ith rack, alpha 2 The control influence coefficient, alpha, of the outlet plate shape reduction under the five-pass mode of a six-frame cold continuous rolling unit 3 The control influence coefficient is controlled for vibration factor reduction under five-pass mode of six-frame cold continuous rolling unit, and the control coefficient is +.>Is the critical value of the vibration coefficient delta of high-strength steel ui Is the vibration coefficient of the ith frame, beta 2 The method is characterized in that the method distributes fine adjustment influence coefficients, psi, for the reduction of a small-roller-diameter rolling mill in a five-pass mode of a six-frame cold continuous rolling unit u3 Is the 3 rd frame high-strength steel slip factor lambda 3 Shape of 3 rd frame target outlet 3 Is the actual exit plate shape of the 3 rd frame, +.>The critical vibration coefficient of the high-strength steel of the 3 rd frame is the critical vibration coefficient;
s4, outputting the outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function and rolling stable rolling distribution results, wherein the method comprises the following specific steps of:
s41, when the optimization objective function is smaller than the initial objective function of the optimization process, namely G γ (X γ )＜G γ (X γ ) 0 When the optimization is established, the optimization objective function is assigned to the initial objective function G of the optimization process γ (X γ ) 0 ＝G γ (X γ ) And i=4, wherein G γ (X γ ) 0 An initial objective function is used for optimizing the process;
s42, when the step multiple is smaller than the maximum step, i.e. k i ＜k max When established, then k i ＝k i +1, jump to step S33, where k max Is the maximum value of the step length; if not, let k i ＝0；
S43, when the current frame number i of the optimizing process is larger than 1, i=i-1, and jumping to the step S42; if not, outputting the outlet plate shape of the high-strength steel rolled by adopting a five-pass mode based on the six-rack cold continuous rolling unit corresponding to the minimum value of the optimized objective function and rolling stable rolling distribution results.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111282755.1A CN114309082B (en) | 2021-11-01 | 2021-11-01 | Reduction schedule optimization method for rolling steel by adopting five-pass mode in six-frame cold continuous rolling |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111282755.1A CN114309082B (en) | 2021-11-01 | 2021-11-01 | Reduction schedule optimization method for rolling steel by adopting five-pass mode in six-frame cold continuous rolling |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114309082A CN114309082A (en) | 2022-04-12 |
| CN114309082B true CN114309082B (en) | 2023-11-24 |
Family
ID=81044946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111282755.1A Active CN114309082B (en) | 2021-11-01 | 2021-11-01 | Reduction schedule optimization method for rolling steel by adopting five-pass mode in six-frame cold continuous rolling |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114309082B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101934290A (en) * | 2009-06-30 | 2011-01-05 | 上海宝信软件股份有限公司 | Load allocation adjusting method for stainless steel tandem cold rolling mill |
| CN104785538A (en) * | 2014-01-21 | 2015-07-22 | 宝山钢铁股份有限公司 | Reduction schedule optimization method for rolling ultrathin strip steel by cold continuous rolling set |
| CN105234186A (en) * | 2015-10-29 | 2016-01-13 | 燕山大学 | Rolling schedule optimization method with control over electric power consumption per ton steel as target in cold continuous rolling process |
| CN109848212A (en) * | 2019-03-13 | 2019-06-07 | 山西太钢不锈钢股份有限公司 | A kind of stainless steel belt and its milling method |
| KR20190078334A (en) * | 2017-12-26 | 2019-07-04 | 주식회사 포스코 | Apparatus for setting schedule of continuous rolling pass |
| 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 |
| CN113505452A (en) * | 2021-07-08 | 2021-10-15 | 宝钢湛江钢铁有限公司 | Comprehensive optimization setting method for rolling schedule of ultrahigh-strength steel of six-stand cold continuous rolling unit |
-
2021
- 2021-11-01 CN CN202111282755.1A patent/CN114309082B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101934290A (en) * | 2009-06-30 | 2011-01-05 | 上海宝信软件股份有限公司 | Load allocation adjusting method for stainless steel tandem cold rolling mill |
| CN104785538A (en) * | 2014-01-21 | 2015-07-22 | 宝山钢铁股份有限公司 | Reduction schedule optimization method for rolling ultrathin strip steel by cold continuous rolling set |
| CN105234186A (en) * | 2015-10-29 | 2016-01-13 | 燕山大学 | Rolling schedule optimization method with control over electric power consumption per ton steel as target in cold continuous rolling process |
| KR20190078334A (en) * | 2017-12-26 | 2019-07-04 | 주식회사 포스코 | Apparatus for setting schedule of continuous rolling pass |
| 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 |
| CN109848212A (en) * | 2019-03-13 | 2019-06-07 | 山西太钢不锈钢股份有限公司 | A kind of stainless steel belt and its milling method |
| CN113505452A (en) * | 2021-07-08 | 2021-10-15 | 宝钢湛江钢铁有限公司 | Comprehensive optimization setting method for rolling schedule of ultrahigh-strength steel of six-stand cold continuous rolling unit |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114309082A (en) | 2022-04-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101934290B (en) | Load allocation adjusting method for stainless steel tandem cold rolling mill | |
| CN111014307B (en) | Rolling mill speed control method for continuous rolling of furnace coil and finishing mill set | |
| CN104942019B (en) | A kind of cold rolling of strip steel process Automatic control method of width | |
| CN101739514B (en) | Method for comprehensively optimizing rolling technological parameter of dual UCM type secondary cold mill train | |
| CN104785538B (en) | Reduction schedule optimization method for rolling ultrathin strip steel by cold continuous rolling set | |
| CN108405625B (en) | Downstream roll changing method for realizing online roll changing of ESP finishing mill group | |
| CN107413856B (en) | It is a kind of that roller method is removed based on the change online roll change of specification of ESP mm finishing mill unit | |
| CN110434172B (en) | Load distribution calculation method for continuous rolling of furnace coil and finishing mill group | |
| CN109078989A (en) | A kind of limit mill speed prediction technique of six-roll cold mill | |
| CN103962392B (en) | A kind of continuous hot-rolling mill mm finishing mill unit Dynamic load control method | |
| CN102921743A (en) | Method for determining five stand tandem cold mill depressing distribution | |
| CN109351780A (en) | A kind of dynamic change code method for removing roller based on ESP mm finishing mill unit | |
| CN113333477B (en) | Method for controlling roll gap during online roll changing and dynamic regulation changing of ESP finishing mill group | |
| CN114309082B (en) | Reduction schedule optimization method for rolling steel by adopting five-pass mode in six-frame cold continuous rolling | |
| CN110976524A (en) | Convexity configuration method for working roll of hot continuous rolling mill | |
| CN109877167B (en) | Tension influence coefficient analysis method for improving rolling stability of degree of freedom | |
| CN111842506A (en) | Roll shifting control method for five-frame six-roll cold continuous rolling unit | |
| CN101934288A (en) | Cold continuous rolling reduction distribution method | |
| CN113751510A (en) | Rolling control method of strip steel | |
| CN109092906B (en) | A kind of on-line tuning method of five Stands Cold Tandem Mills group slipping phenomenon | |
| CN109261727B (en) | A kind of the roll shape setting method and system of mkw mill | |
| CN109692874A (en) | The online roll change of ESP mm finishing mill unit adverse current and dynamic become the method that regulation carries out simultaneously | |
| CN108057719B (en) | The technological lubrication system optimization method for target is prevented and treated with quick-fried roller in cold continuous rolling process | |
| CN114918258A (en) | Big data-based supplied material section shape shifting compensation method for cold continuous rolling mill | |
| CN113399472A (en) | Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |