CN109047339B - Method for calculating finished product plate surface roughness characteristic parameters of double-stand temper mill - Google Patents
Method for calculating finished product plate surface roughness characteristic parameters of double-stand temper mill Download PDFInfo
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Abstract
The method for calculating the finished product plate surface roughness characteristic parameters of the double-rack temper mill set comprises the following steps: (1) collecting parameters; (2) setting an initial value F of an objective function0(ii) a (3) Let lambda2＝λ2′，λ3＝λ3'; (4) let lambda1＝k1Δ1(ii) a (5) Calculating the surface roughness Ra of the finished product strip steel in the current states,i(ii) a (6) Calculating an objective function F (X); (7) judging the inequality F < F0Determination of whether (8) holds inequality
Whether (9) is established defines the overall impression rate influencing factor adjustment factor optimization step size Δ2(ii) a (10) Let lambda2＝k2Δ2(ii) a (11) Calculating the surface roughness Ra of the finished product strip steel in the current states,i(ii) a (12) Calculating an objective function F (X); (13) judging the inequality F < F0Whether is true, and (14) determining the inequality
Whether the method is and the like is established, the calculation method of the plate surface roughness characteristic parameters of the finished product of the double-frame temper mill set is established on the basis of deeply researching the forming mechanism of the surface roughness of the strip steel in the temper rolling process, and a foundation is laid for the development of the strip steel surface roughness control technology.
Description
Technical Field
The patent relates to the field of cold rolling, in particular to a method for calculating the roughness characteristic parameters of finished plate surfaces of a double-frame temper mill unit.
Background
The production process flow of the cold-rolled strip steel generally comprises the following steps: pickling, rolling, annealing, flattening, shearing and curling. Temper rolling is a key process in strip steel. The method aims to eliminate the yield platform of the steel plate after recrystallization annealing, improve the straightness, eliminate discontinuous plastic deformation and obtain a uniform and consistent surface. The flattening process of the double-rack flattening machine set mainly comprises the following steps: the method comprises the steps of coiling trolley, uncoiler, inlet S roller, machine front side tension roller, leveling machine, machine rear side tension roller, outlet S roller, coiling machine, coil unloading trolley, unloading/packing/steel coil warehousing. In the temper rolling of strip steel, the surface roughness of a finished product is especially important to forecast, the surface roughness of the strip steel is a microscopic geometric shape consisting of numerous non-directional irregular wave crests and wave troughs with small intervals, the size order is micron-sized, and quantitative research needs to be carried out on the surface roughness of the strip steel in order to control the surface roughness of the strip steel and improve the surface quality of the strip steel. A plurality of coefficients are involved in the process of establishing a surface roughness forecasting model of the strip steel, the previous research on the aspect only stays in a theoretical stage, and a set of method capable of calculating the coefficients is not provided, so that the model cannot be applied specifically, and therefore the method for calculating the surface roughness characteristic parameters of the finished product of the double-frame temper mill set is very important.
Disclosure of Invention
The invention provides a method suitable for calculating the finished product plate surface roughness characteristic parameters of a double-frame temper mill on the basis of deeply researching the forming mechanism of the surface roughness of the strip steel in the temper rolling process and establishing a strip steel surface roughness prediction model aiming at the defect of lack of an exact calculation method of the correlation coefficient of the strip steel surface roughness prediction model of the double-frame temper mill, thereby laying a foundation for the development of a strip steel surface roughness control technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for calculating the finished product plate surface roughness characteristic parameters of a double-frame temper mill comprises the following steps (calculation block diagrams are shown in an attached figure 1 and an attached figure 2):
(1) parameter collection mainly includes: surface roughness Ra of finished strip steels′,iOriginal surface roughness Ra of strip steels0,iThickness h of strip inlet of ith frameiResistance to strip deformation kiTotal elongation epsiloniOriginal surface roughness Ra of No. 1 roller r01,i1# Rolling kilometers L1,iOriginal surface roughness Ra of 2# rollr02,i2# Rolling kilometers L2,i，i＝1,2,,,n；
(2) Setting an initial value F of an objective function0Setting the initial value lambda of the adjustment factor of the impact coefficient of the comprehensive impression rate2' -0.5, and an initial value of the adjustment factor for the integrated genetic Rate of influence3′＝0.5；
(3) Let lambda2＝λ2′，λ3＝λ3' and simultaneously defining the optimization step length delta of the adjustment factor of the comprehensive unit equipment characteristic influence coefficient1Setting the optimization intermediate process parameter k of the adjusting factor of the comprehensive unit equipment characteristic influence coefficient1And make k1＝0；
(4) Let lambda1＝k1Δ1；
(5) Calculating the surface roughness Ra of the finished product strip steel in the current states,iThe expression is
Calculating current X ═ { Ra ═ Rar01,Rar02The surface roughness prediction value Ra of the finished product of each steel coil under the situation s,i1,2.. n }, wherein Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ras(i-1)The surface roughness of the strip steel at the inlet of the ith frame is mum; h isiThe thickness of the strip steel inlet of the ith frame is mm; rar01,i1# roller original surface roughness, mum; rar02,i2# roller original surface roughness, mum; alpha is alphahThe entrance thickness linear influence coefficient of the frame strip in the frame exit plate surface roughness roller copying part; alpha is alphah'The nonlinear influence coefficient of the inlet thickness of the rack belt material in the rack outlet plate surface roughness roller copying part; beta is ahThe entrance thickness influence coefficient of the frame strip in the frame exit face roughness genetic part; k average deformation resistance, Mpa, depends on the material and rolling conditions of the strip; alpha is alphakThe material influence coefficient of incoming materials in the roughness genetic part of the surface of the outlet of the rack; beta is akThe material influence coefficient of the incoming material in the copying part of the roughness of the surface of the outlet of the frame; psi is the coefficient of elongation distribution between the frames; epsiloniElongation percentage of the ith frame strip steel; ras0,iThe original surface roughness of the strip steel is mum; alpha is alphaεElongation rate influence coefficient in the frame outlet plate surface roughness genetic part; beta is aεThe coefficient of influence of elongation in the frame outlet plate surface roughness roller copying part; l isiRolling kilometers, km of the steel strip of the ith rack; b isLWidth of incoming material strip, mm; eta1,η2First and second rack devices of a unitA characteristic-affecting parameter;
(6) calculating an objective function F (X) having the expression
Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ra's,iSurface roughness Ra of finished product strip steel's,i；
(7) Judging the inequality F < F0If it is true?, let F0F, optimum λ1y＝λ1Switching to the step (8), otherwise, directly switching to the step (8);
(8) judgment inequalityIf? is true, let k be1＝k1+1, go to step (4), otherwise, let λ1＝λ1yAnd (5) turning to the step (9);
(9) defining optimization step length delta of adjustment factor of comprehensive impression rate influence coefficient2Setting the optimized intermediate process parameter k of the adjustment factor of the comprehensive impression rate influence coefficient2And make k2＝0；
(10) Let lambda2＝k2Δ2；
(11) Calculating the surface roughness Ra of the finished product strip steel in the current states,iThe expression is
(12) Calculating an objective function F (X) having the expression
Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ra's,iSurface roughness Ra of finished product strip steel's,i；
(13) Determine the inequalityFormula F < F0If it is true?, let F0F, optimum λ2y＝λ2Switching to the step (14), otherwise, directly switching to the step (14);
(14) judgment inequalityIf? is true, let k be2＝k2+1, go to step (10), otherwise let λ2＝λ2yTurning to step (15);
(15) determine inequality | λ2-λ2If' is less than 0.05, if so, turning to the step (16), otherwise, turning to the step (3);
(16) defining optimization step length delta of adjustment factor of comprehensive genetic rate influence coefficient3Setting the optimization intermediate process parameter k of the adjustment factor of the comprehensive genetic rate influence coefficient3And make k3＝0；
(17) Let lambda3＝k3Δ3；
(18) Calculating the surface roughness Ra of the finished product strip steel in the current states,iThe expression is
(19) Calculating an objective function F (X) having the expression
Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ra's,iSurface roughness Ra of finished product strip steel's,i；
(20) Judging the inequality F < F0If it is true?, let F0F, optimum λ3y＝λ3Switching to the step (21), otherwise, directly switching to the step (21);
(21) judgment inequality
If? is true, let k be3＝k3+1, go to step (17), otherwise let λ3＝λ3yTurning to step (22);
(22) determine inequality | λ3-λ3If' is less than 0.05, if so, turning to the step (23), otherwise, turning to the step (3);
(23) output lambda1、λ2、λ3A value of (d);
(24) defining intermediate variables k1,η1And make k1,η1＝0；
(25) Given search step size Δ1,η1＝0.02λ1,η1Let λ be1,η1＝0.8λ1+k1,η1Δ1,η1；
(26) Let lambda1,η2＝λ1、λ2,αh＝λ2、λ2,αh'＝λ2、λ2,αk＝λ2、
(27) Calculating the surface roughness Ra of the finished product strip steel in the current states,iThe expression is
(28) Calculating an objective function F (X) having the expression
,Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ra's,iSurface roughness Ra of finished product strip steel's,i；
(29) Judging the inequality F < F0If it is true?, let F0F, optimum λ1,η1,y＝λ1,η1，k1,η1＝k1,η1+1, go to step (30), otherwise let k1,η1＝k1,η1+1, directly going to step (30);
(30) judgment inequality k1,η1Not more than 20 and lambda1,η1Whether the values are less than or equal to 1.0 are simultaneously established, if so, the step (25) is carried out; otherwise let λ be1,η1＝λ1,η1,yCompletion of λ1,η1Is calculated by starting λ1,η2And so on.
Compared with the prior art, the invention has the following advantages and effects:
on the basis of deeply researching the forming mechanism of the surface roughness of the strip steel in the temper rolling process, the invention establishes the calculation method of the finished product plate surface roughness characteristic parameters of the double-stand temper mill set, and lays a foundation for the development of the strip steel surface roughness control technology.
Drawings
FIG. 1 is a diagram of lambda of the present invention1,λ2,λ3Solving the flow chart;
FIG. 2 illustrates the present invention to solve for λ1,η1An exemplary flow chart.
Detailed Description
Example 1
(1) Parameter collection mainly includes: surface roughness of finished strip steel
Ra′s,i0.544, 0.493; 0.523, 0.485; 0.516, 0.490; 0.595, 0.454; 0.446, 0.460; 0.476, 0.444; 1.538, 1.408; 1.486, 1.436; 0.744, 0.730; 0.706,0.677} mu m, original surface roughness Ra of the strip steels0,i0.864,0.544,0.818,0.818,0.552,0.552,0.568,0.568,0.478,0.478} mu m, strip thickness hi0.18,0.17,0.17,0.18,0.18,0.18,0.354,0.354,0.199,0.21 mm, strip deformation resistance ki＝{460,460,390,390,460,460,270,270,390,390}Mpa，
L2,i＝{651.64,710,750.81,870.65,810.23,862.56,13.093,26.326,14.439,24}km,i＝1,2,,,10；
(2) Setting an initial value F of an objective function0＝1010Setting the initial value lambda of the adjustment factor of the impact coefficient of the comprehensive impression rate2' -0.5, and an initial value of the adjustment factor for the integrated genetic Rate of influence3′＝0.5；
(3) Let lambda2＝λ2′，λ3＝λ3' and simultaneously defining the optimization step length delta of the adjustment factor of the comprehensive unit equipment characteristic influence coefficient1Setting the influence coefficient adjusting factor k of the characteristics of the comprehensive unit equipment as 0.1 to optimize the intermediate process parameter k1And make k1＝0；
(4) Let lambda1＝k1Δ1＝0；
(5) Calculating the surface roughness Ra of the finished product strip steel in the current states,iCalculating current X ═ { Ra ═ Rar01,Rar02The surface roughness prediction value Ra of the finished product of each steel coil under the situationsiN, and calculating current X { Ra } by using a roughness prediction modelr01,Rar02Predicted value Ra of outlet plate surface roughness of 10 steel coils under the situations,i＝{0.279、0.278、0.267、0.269、0.289、0.277、0.259、0.287、0.267、0.271}μm；
(6) Calculating an objective function F (X) having the expression
(7) Judging the inequality F < F0If? is true, let F00.17 for F, optimum λ1y＝λ1If yes, the step (8) is carried out;
(8) judgment inequality
If? is true, let k1＝k1If +1 is 1, the step (4) is carried out;
(9) defining optimization step length delta of adjustment factor of comprehensive impression rate influence coefficient2Setting the adjusting factor of the comprehensive impression rate influence coefficient to optimize the intermediate process parameter k as 0.12And make k2＝0；
(10) Let lambda2＝k2Δ2＝0；
(11) Calculating the surface roughness Ra of the finished product strip steel in the current states,i＝{0.279、0.278、0.267、0.269、0.289、0.277、0.259、0.287、0.267、0.271}μm；
(12) Calculating an objective function F (X) having the expression
(13) Judging the inequality F < F0If? is true, let F0F0.162, optimum λ2y＝λ2If yes, the step (14) is carried out;
(14) judgment inequality
If? is true, let k2＝k2If +1 is 1, the step (10) is carried out;
(15) determine inequality | λ2-λ2If' is less than 0.05, if yes, turning to the step (3);
(16) defining optimization step length delta of adjustment factor of comprehensive genetic rate influence coefficient3Setting the comprehensive genetic rate influence coefficient regulating factor optimizing intermediate process parameter k as 0.13And make k3＝0；
(17) Let lambda3＝k3Δ3＝0；
(18) Calculating the surface roughness Ra of the finished product strip steel in the current states,i＝{0.279、0.278、0.267、0.269、0.289、0.277、0.259、0.287、0.267、0.271}μm；
(19) Calculating an objective function F (X) having the expression
(20) Judging the inequality F < F0If? is true, let F00.182, optimum λ3y＝λ3If yes, the step (21) is carried out;
(21) judgment inequality
If? is true, let k3＝k3If +1 is 1, go to step (17);
(22) determine inequality | λ3-λ3If' is less than 0.05, if not, the step (3) is carried out;
(23) output lambda1＝1.3、λ2＝1.6、λ3A value of 1.4.
(24) Defining intermediate variables k1,η1And make k1,η1＝0；
(25) Given search step size Δ1,η1＝0.02λ1,η1Let λ be1,η1＝0.8λ1+k1,η1Δ1,η1＝1.04；
(26) Let lambda1,η2＝λ1＝1.3、 
(27) Calculating the surface roughness Ra of the finished product strip steel in the current states,i＝{0.279、0.278、0.267、0.269、0.289、0.277、0.259、0.287、0.267、0.271}μm；
(28) Calculating an objective function F (X) having the expression
(29) Judging the inequality F < F0If? is true, let F00.17 for F, optimum λ1,η1,y＝λ1,η1＝1.04，k1,η1＝k1,η1If +1 is 1, the process proceeds to step (30);
(30) judgment inequality k1,η1Not more than 20 and lambda1,η1Whether the two signals are simultaneously equal to or less than 1.0, if not, making lambda1,η1＝λ1,η1,y1.04, finish λ1,η1Is calculated by starting λ1,η2And so on.
Example 2
(1) Parameter collection mainly includes: surface roughness Ra of finished product strip steel's,i0.644, 0.646; 0.677, 0.687; 0.546, 0.574; 0.523, 0.485; 0.516, 0.490; 0.595, 0.454; 0.446, 0.460; 0.476, 0.444; 0.465, 0.475; 0.526,0.574} mu m, original surface roughness Ra of the strip steels0,i0.864,0.864,0.818,0.818,0.552,0.552,0.568,0.568,0.678,0.678} mum, strip thickness hi0.17,0.17,0.18,0.18,0.17,0.18,0.35,0.34,0.159,0.21 mm, strip steel deformation resistance ki(460,460,390,390,460,460,270,270,390,390) MPa, total elongation εi1# roll original surface roughness Ra, {0.63,0.77,0.86,0.92,0.83,0.80,1.15,1.21,0.78,0.95}, 1#r01,i1.63, {1.63,1.63,1.63,1.63,1.63,1.63,1.64,1.64,1.63,1.63} um, # 1 rolling kilometer number L1,iOriginal surface roughness Ra of 2# roller (551.64,510,650,820.65,710.23,862.55, 23.093,26.326,16.439, 24) kmr02,i{0.42,0.42,0.42,0.42, 2.97,2.97,0.70,0.70} mum, 2# rolling kilometer number L2,i＝{551.64,510,650,820.65,710.23,862.55,23.093,26.326,16.439,24}km,i＝1,2,,,10；
(2) Setting an initial value F of an objective function0＝1010Setting the initial value lambda of the adjustment factor of the impact coefficient of the comprehensive impression rate2' -0.5, and an initial value of the adjustment factor for the integrated genetic Rate of influence3′＝0.5；
(3) Let lambda2＝λ2′，λ3＝λ3' simultaneously defining the influence system of comprehensive unit equipment characteristicsNumber adjustment factor optimization step delta1Setting the influence coefficient adjusting factor k of the characteristics of the comprehensive unit equipment as 0.1 to optimize the intermediate process parameter k1And make k1＝0；
(4) Let lambda1＝k1Δ1＝0；
(5) Calculating the surface roughness Ra of the finished product strip steel in the current states,iCalculating current X ═ { Ra ═ Rar01,Rar02The surface roughness prediction value Ra of the finished product of each steel coil under the situationsiN, and calculating current X { Ra } by using a roughness prediction modelr01,Rar02Predicted value Ra of outlet plate surface roughness of 10 steel coils under the situations,i＝{0.254、0.262、0.256、0.271、0.283、0.265、0.265、0.285、0.271、0.280}μm；
(6) Calculating an objective function F (X) having the expression
(7) Judging the inequality F < F0If? is true, let F00.15 for F, optimum λ1y＝λ1If yes, the step (8) is carried out;
(8) judgment inequality
If? is true, let k1＝k1If +1 is 1, the step (4) is carried out;
(9) defining optimization step length delta of adjustment factor of comprehensive impression rate influence coefficient2Setting the adjusting factor of the comprehensive impression rate influence coefficient to optimize the intermediate process parameter k as 0.12And make k2＝0；
(10) Let lambda2＝k2Δ2＝0；
(11) Calculating the surface roughness Ra of the finished product strip steel in the current states,i＝{0.254、0.262、0.256、0.271、0.283、0.265、0.265、0.285、0.271、0.280}μm；
(12) Calculating an objective function F (X) having the expression
(13) Judging the inequality F < F0If? is true, let F0F0.174, optimum λ2y＝λ2If yes, the step (14) is carried out;
(14) judgment inequality
If? is true, let k2＝k2If +1 is 1, the step (10) is carried out;
(15) determine inequality | λ2-λ2If' is less than 0.05, if yes, turning to the step (3);
(16) defining optimization step length delta of adjustment factor of comprehensive genetic rate influence coefficient3Setting the comprehensive genetic rate influence coefficient regulating factor optimizing intermediate process parameter k as 0.13And make k3＝0；
(17) Let lambda3＝k3Δ3＝0；
(18) Calculating the surface roughness Ra of the finished product strip steel in the current states,i＝{0.254、0.262、0.256、0.271、0.283、0.265、0.265、0.285、0.271、0.280}μm；
(19) Calculating an objective function F (X) having the expression
(20) Judging the inequality F < F0If? is true, let F0F0.161, optimum λ3y＝λ3If yes, the step (21) is carried out;
(21) judgment inequality
If? is true, let k3＝k3If +1 is 1, go to step (17);
(22) determine inequality | λ3-λ3If' I < 0.05 is true, if not, switching toStep (3);
(23) output lambda1＝1.4、λ2＝1.5、λ3A value of 1.2.
(24) Defining intermediate variables k1,η1And make k1,η1＝0；
(25) Given search step size Δ1,η1＝0.02λ1,η1Let λ be1,η1＝0.8λ1+k1,η1Δ1,η1＝1.12；
(26) Let lambda1,η2＝λ1＝1.4、
(27) Calculating the surface roughness Ra of the finished product strip steel in the current states,i＝{0.254、0.262、0.256、0.271、0.283、0.265、0.265、0.285、0.271、0.280}μm；
(28) Calculating an objective function F (X) having the expression
(29) Judging the inequality F < F0If? is true, let F0F0.152, optimum λ1,η1,y＝λ1,η1＝1.12，k1,η1＝k1,η1If +1 is 1, the process proceeds to step (30);
(30) judgment inequality k1,η1Not more than 20 and lambda1,η1Whether the two signals are simultaneously equal to or less than 1.0, if not, making lambda1,η1＝λ1,η1,y1.12, finish λ1,η1Is calculated by starting λ1,η2And so on.
Claims (1)
1. The method for calculating the finished product plate surface roughness characteristic parameters of the double-rack temper mill is characterized by comprising the following steps of: the method comprises the following steps:
(1) parameter collection mainly includes: surface roughness Ra of finished product strip steel's,iOriginal surface roughness Ra of strip steels0,iThickness h of strip inlet of ith frameiResistance to strip deformation kiTotal elongation epsiloniOriginal surface roughness Ra of No. 1 rollerr01,i1# Rolling kilometers L1,iOriginal surface roughness Ra of 2# rollr02,i2# Rolling kilometers L2,i，i＝1,2,,,n；
(2) Setting an initial value F of an objective function0Let F0＝1010Giving an initial value lambda 'of adjusting factor of comprehensive impression rate influence coefficient'20.5 and an initial value lambda 'of a comprehensive genetic factor influence coefficient adjusting factor'3＝0.5；
(3) Adjusting factor lambda of influence coefficient of comprehensive impression rate2＝λ′2Synthetic genetic Rate influence coefficient adjustment factor lambda3＝λ′3Defining the optimizing step length delta of the adjusting factor of the comprehensive unit equipment characteristic influence coefficient1Setting the optimization intermediate process parameter k of the adjusting factor of the comprehensive unit equipment characteristic influence coefficient1And make k1＝0；
(4) Adjusting factor lambda of characteristic influence coefficient of comprehensive unit equipment1＝k1△1；
(5) Calculating current X ═ { Ra ═ Rar01,i,Rar02,iSurface roughness Ra of strip steel at outlet of ith frame under the conditions,iThe expression is
Wherein Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ras(i-1)The surface roughness of the strip steel at the inlet of the ith frame is mum; h isiThe thickness of the strip steel inlet of the ith frame is mm; rar01,i1# roller original surface roughness, mum; rar02,i2# roller original surface roughness, mum; alpha is alphahThe entrance thickness linear influence coefficient of the frame strip in the frame exit plate surface roughness roller copying part; alpha is alphah'The nonlinear influence coefficient of the inlet thickness of the rack belt material in the rack outlet plate surface roughness roller copying part; beta is ahMachine in frame export face roughness heredity partThe inlet thickness influence coefficient of the strip material; k average deformation resistance, Mpa, depends on the material and rolling conditions of the strip; alpha is alphakThe material influence coefficient of the incoming material in the copying part of the roughness of the surface of the outlet of the frame; beta is akThe material influence coefficient of incoming materials in the roughness genetic part of the surface of the outlet of the rack; psi is the coefficient of elongation distribution between the frames; epsiloniElongation percentage of the ith frame strip steel; alpha is alphaεThe elongation coefficient of influence in the frame outlet plate surface roughness copying part; beta is aεThe influence coefficient of elongation rate in the genetic part of the frame outlet plate surface roughness roller; l isiRolling kilometers, km of the steel strip of the ith rack; b isLWidth of incoming material strip, mm; eta1,η2The characteristic influence parameters of the first rack equipment and the second rack equipment of the unit;
(6) calculating an objective function F (X) having the expression
Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ra's,iSurface roughness Ra of finished product strip steel's,i；
(7) Judging the inequality F < F0If it is true?, let F0F, adjusting factor lambda of optimal comprehensive unit equipment characteristic influence coefficient1y＝λ1Switching to the step (8), otherwise, directly switching to the step (8);
(8) judgment inequality
If? is true, let k be1＝k1+1, go to step (4), otherwise, let λ1＝λ1yAnd (5) turning to the step (9);
(9) defining optimization step length delta of adjustment factor of comprehensive impression rate influence coefficient2Setting the optimized intermediate process parameter k of the adjustment factor of the comprehensive impression rate influence coefficient2And make k2＝0；
(10) Let lambda2＝k2△2；
(11) Calculating the surface roughness Ra of the strip steel at the outlet of the ith rack in the current states,iThe expression is
(12) Calculating an objective function F (X) having the expression 
Ras,iThe surface roughness of the strip steel at the outlet of the ith frame is mum; ra's,iSurface roughness Ra of finished product strip steel's,i；
(13) Judging the inequality F < F0If it is true?, let F0F, the optimum overall impression rate influence coefficient adjustment factor lambda2y＝λ2Switching to the step (14), otherwise, directly switching to the step (14);
(14) judgment inequality
If? is true, let k be2＝k2+1, go to step (10), otherwise let λ2＝λ2yTurning to step (15);
(15) determine inequality | λ2-λ′2If the | < 0.05 is true, if so, turning to the step (16), otherwise, turning to the step (3);
(16) defining optimization step length delta of adjustment factor of comprehensive genetic rate influence coefficient3Setting the optimization intermediate process parameter k of the adjustment factor of the comprehensive genetic rate influence coefficient3And make k3＝0；
(17) Let lambda3＝k3△3；
(18) Calculating the currentSurface roughness Ra of strip steel at outlet of ith frame in states,iThe expression is
(19) Calculating an objective function F (X) having the expression
(20) Judging the inequality F < F0If it is true?, let F0F, optimal combined genetic rate influence coefficient adjustment factor λ3y＝λ3Switching to the step (21), otherwise, directly switching to the step (21);
(21) judgment inequality
If? is true, let k be3＝k3+1, go to step (17), otherwise let λ3＝λ3yTurning to step (22);
(22) determine inequality | λ3-λ′3If the | < 0.05 is true, if so, turning to the step (23), otherwise, turning to the step (3);
(23) output lambda1、λ2、λ3A value of (d);
(24) defining intermediate variables k1,η1And make k1,η1＝0；
(25) Given search step Δ1,η1＝0.02λ1,η1Let 1 st rack unit equipment characteristic influence coefficient adjust factor lambda1,η1＝0.8λ1+k1,η1△1,η1；
(26) Adjusting factor lambda of 2 nd rack unit equipment characteristic influence coefficient1,η2＝λ1Frame strip in frame outlet plate surface roughness roller copying partInlet thickness linear influence coefficient adjustment factor of
Adjustment factor for inlet thickness nonlinear influence coefficient of rack strip in rack outlet plate roughness roller copying part
Material influence coefficient adjustment factor of incoming material in frame outlet plate surface roughness copying part
Elongation coefficient of influence adjustment factor in rack outlet plate roughness copying part
Inlet thickness influence coefficient regulating factor of rack strip in rack outlet plate roughness genetic part
Material influence coefficient regulating factor of incoming material in frame outlet plate surface roughness genetic part
Elongation coefficient of influence regulating factor in frame outlet plate surface roughness roller genetic part
(27) Calculating the surface roughness Ra of the strip steel at the outlet of the ith frame in the current states,iThe expression is
(28) Calculating an objective function F (X) having the expression
(29) Judging the inequality F < F0If it is true?, let F0F, the optimal 1 st rack unit equipment characteristic influence coefficient adjustment factor lambda1,η1,y＝λ1,η1，k1,η1＝k1,η1+1, go to step (30), otherwise let k1,η1＝k1,η1+1, directly going to step (30);
(30) judgment inequality k1,η1Not more than 20 and lambda1,η1Whether the values are less than or equal to 1.0 are simultaneously established, if so, the step (25) is carried out; otherwise let λ be1,η1＝λ1,η1,yCompletion of λ1,η1Is calculated by starting λ1,η2And so on.
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