CN113399472A - Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit - Google Patents
Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit Download PDFInfo
- Publication number
- CN113399472A CN113399472A CN202110889171.4A CN202110889171A CN113399472A CN 113399472 A CN113399472 A CN 113399472A CN 202110889171 A CN202110889171 A CN 202110889171A CN 113399472 A CN113399472 A CN 113399472A
- Authority
- CN
- China
- Prior art keywords
- roll
- omega
- comprehensive
- switching
- frame
- 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.)
- Pending
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
- B21B37/42—Control of flatness or profile during rolling of strip, sheets or plates using a combination of roll bending and axial shifting of the rolls
Abstract
The invention discloses a fuzzy optimization method for a plate shape of a five-stand six-roller cold continuous rolling unit, which comprises the following steps of: a. collecting equipment parameters of a five-frame six-roller cold continuous rolling unit; b. collecting key rolling technological parameters of the strip steel of the shape and the convexity of the plate to be controlled; c. defining an initial target value and giving an optimization step length; d. carrying out fuzzy optimization on roll shifting amount; e. carrying out fuzzy optimization on roller bending force; f. carrying out fuzzy optimization on roll tilting amount; g. and outputting the optimal solution of the comprehensive roll shifting coefficient, the comprehensive roll bending coefficient and the comprehensive roll inclining coefficient. The invention takes 15 adjustable process parameters such as the bending force, the roll shifting amount and the roll tilting amount of each frame related to the five-frame six-roll cold continuous rolling unit as optimized control variables, simultaneously takes the convexity problem of the strip steel plate into consideration, takes the optimal outlet plate shape as a control target, improves the strip plate shape quality of the five-frame six-roll cold continuous rolling unit, improves the actual production efficiency of the unit, and brings economic benefits to enterprises.
Description
Technical Field
The invention belongs to the technical field of cold rolling, and particularly relates to a fuzzy optimization method for a plate shape of a five-stand six-roller cold continuous rolling unit.
Background
For a five-frame six-roller cold continuous rolling unit, the plate shape control parameters mainly comprise technological parameters such as 1-5 frame roll bending force, roll shifting amount, roll tilting amount and the like, and 15 adjustable technological parameters are contained. It should be noted that the 15 parameter changes also directly affect the plate convexity. Since the outlet plate shape and cross-sectional shape of the upstream stand are the inlet plate shape and inlet cross-sectional shape of the downstream stand, the finished plate shape and plate convexity of the unit are actually the result of the combined action of 15 process parameters of the 5 cold continuous rolling stands. The roll bending force, the roll shifting amount and the roll tilting amount of each frame of the five-frame six-roll cold continuous rolling unit are usually set by adopting a single setting method, so that not only is the potential of all control means not easy to be fully exerted, but also the phenomena that the functions of the 15 control means of the five frames are mutually counteracted and the control effect is weakened are easy to occur, and even new additional local wave shapes are likely to occur after the comprehensive action of all the control means, and the plate shape quality of a product is influenced. Therefore, 15 adjustable process parameters such as bending force, roll shifting amount and roll tilting amount of each frame related to the five-frame six-roll cold continuous rolling unit are taken as optimization control variables, the convexity problem of the strip steel plate is considered, and the fuzzy optimization technology of the plate shape of the five-frame six-roll cold continuous rolling unit is developed by taking the optimal outlet plate shape as a control target.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a fuzzy optimization method for the plate shape of a five-stand six-roller cold continuous rolling unit.
In order to achieve the purpose, the invention adopts the technical scheme that:
a fuzzy optimization method for a plate shape of a five-stand six-roller cold continuous rolling unit comprises the following steps: a. collecting equipment parameters of a five-frame six-roller cold continuous rolling unit; b. collecting key rolling technological parameters of the strip steel of the shape and the convexity of the plate to be controlled; c. defining an initial target value and giving an optimization step length; d. carrying out fuzzy optimization on roll shifting amount; e. carrying out fuzzy optimization on roller bending force; f. carrying out fuzzy optimization on roll tilting amount; g. and outputting the optimal solution of the comprehensive roll shifting coefficient, the comprehensive roll bending coefficient and the comprehensive roll inclining coefficient.
Further, the step a of collecting the equipment parameters of the five-stand six-roller cold continuous rolling mill group comprises the following steps:
1-5 frame work roll diameter DwkDiameter D of intermediate rollmkDiameter D of the support rollerbk1-5 machine frame working roll profile distribution delta DwkiMiddle roll profile distribution Δ DmkiRoll profile distribution Delta D of support rollbki1-5 machine frame work roll body length LwkLength L of intermediate roll bodymkLength L of the roll body of the supporting rollbk1-5 interval l between press screws of machine framewkMiddle distance l between the middle rollers and the screwmkThe interval l between the support roller and the screwbk1-5 allowable maximum and minimum run-out δ of rackkmax、δkmin1-5 maximum and minimum roll bending forces S of the framekmax、SkminThe allowable roll pressure uniformity coefficient omega of the equipment0。
Further, the step b of collecting the key rolling process parameters of the strip steel with the plate shape and the plate convexity to be controlled comprises the following steps:
transverse thickness distribution H of incoming materialiTransverse distribution value L of incoming sheetiWidth of strip B, 1-5 frame strip average back tension TokAverage front tension Tik1-5 set value epsilon of elongation of rolling reduction of machine framek。
Further, the step c specifically comprises:
carrying out fuzzy optimization on related plate shape control parameters and defining an initial target value F0Let F0＝1010Meanwhile, the maximum value F of the target function of the comprehensive control of the shape and the convexity of the plate allowed in the given engineering is givenmaxIntroducing a comprehensive roll shifting coefficient lambda1Comprehensive roll bending coefficient lambda2And the comprehensive roll-tilting coefficient lambda3Three variables, namely a given roll-shifting optimizing step delta, a given roll bending optimizing step delta S and a given roll inclination optimizing step delta eta.
Further, the step d comprises the following steps:
d-1, setting the roll bending force to a ground state and setting the roll tilting force to 0;
d-2, let λ1＝0；
d-3、δk＝δkmin+λ1Δδ；
d-4, calculating an objective function
And the degree omega of pressure uniformity between the rolls; in the formula: sigma15iIs 1-5 frame strip steel plate shape, betaiFor the target strip shape,. DELTA.h5iIs the convexity of the section of the strip steel of the fifth frame, delta hiThe convexity of the target section is taken as the convexity;
d-5, judgment inequality F1≤FmaxAnd omega is less than or equal to omega0Is it true at the same time? If yes, switching to the step d-8, otherwise, switching to the step d-6;
d-6, judgment inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Step d-7 is carried out, otherwise, step d-7 is directly carried out;
d-7, judging inequality deltak≤δkmaxIs there any? If yes, let λ1＝λ1Switching to the step d-3 for +1, otherwise, directly switching to the step d-8;
d-8, output lambda1The optimal solution of (1).
Further, the step e comprises the following steps:
e-1, according to lambda1Setting the roll shifting amount and roll inclining amount to be 0 according to the optimal solution;
e-2, order of lambda2＝0；
e-3、Sk＝Skmin+λ2ΔS；
e-4, calculating the objective function F (X) ═ F1And the degree omega of pressure uniformity between the rolls;
e-5, judgment inequality F1≤FmaxAnd omega is less than or equal to omega0Is it true at the same time? If both are trueIf not, switching to the step e-8, otherwise, switching to the step e-6;
e-6, judgment inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Switching to the step e-7, otherwise, directly switching to the step e-7;
e-7, judging inequality Sk≤SkmaxIs there any? If yes, let λ2＝λ2Switching to the step e-3 for +1, otherwise, directly switching to the step e-8;
e-8, output λ2The optimal solution of (1).
Further, the step f includes the steps of:
f-1, by λ1、λ2Setting roll shifting amount and roll bending force according to the optimal solution;
f-2, let λ3＝0；
f-3、ηk＝ηkmin+λ3Δη；
F-4, calculating the target function F (X) ═ F1And the degree omega of pressure uniformity between the rolls;
f-5, judgment inequality F1≤FmaxAnd omega is less than or equal to omega0Is it true at the same time? If yes, switching to a step f-8, otherwise, switching to a step f-6;
f-6, judgment inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
F-7, otherwise, directly performing the step f-7;
f-7, judging inequality etak≤ηkmaxIs there any? If yes, let λ3＝λ3+1 go to step f-3, otherwise, go to step f-8 directly;
f-8, output lambda3The optimal solution of (1).
Further, the step g is specifically to output the comprehensive roll shifting coefficient lambda1Comprehensive roll bending coefficient lambda2And the comprehensive roll-tilting coefficient lambda3The optimal solution of (1).
The invention has the beneficial effects that: the invention takes 15 adjustable process parameters such as bending force, roll shifting amount and roll tilting amount of each frame related to the five-frame six-roll cold continuous rolling unit as optimization control variables, simultaneously considers the convexity problem of the strip steel plate, takes the optimal outlet plate shape as a control target, develops a fuzzy optimization technology for the plate shape of the five-frame six-roll cold continuous rolling unit, improves the plate shape quality of the strip of the five-frame six-roll cold continuous rolling unit, improves the actual production efficiency of the unit, and brings economic benefits to enterprises.
Drawings
FIG. 1 is a schematic view of a five stand six roll cold continuous rolling mill train of the present invention;
FIG. 2 is a schematic diagram of the layout of the five-stand six-roll cold continuous rolling mill unit and the stress of the roll system;
FIG. 3 is an overall flowchart of fuzzy optimization of the plate shape of a five-stand six-roll cold continuous rolling mill set according to the present invention;
FIG. 4 is a flow chart of the roll shifting amount fuzzy optimization of the present invention;
FIG. 5 is a flow chart of the roll bending force fuzzy optimization of the present invention;
FIG. 6 is a flowchart of the roll tilt amount fuzzy optimization of the present invention;
FIG. 7 is a graph of plate shape values before and after optimization of a typical specification product of example 1;
FIG. 8 is a graph of plate shape values before and after optimization of a typical specification product of example 2;
the number designations in the figures are: 1-supporting roll, 2-middle roll and 3-working roll.
Detailed Description
The fuzzy optimization method for the plate shape of the five-stand six-roller cold continuous rolling mill set is further described in detail by combining with the embodiment, as shown in fig. 1 to 6.
Example 1:
in this embodiment, a fuzzy optimization method for a plate shape of a five-stand six-roll cold continuous rolling mill set is described in detail by taking an example that the supplied material grade is SPCC and the specification is 0.17mm × 1200mm, and the method includes the following steps:
(a) collecting 2030 equipment parameters of the cold continuous rolling unit, which mainly comprises the following steps: 1-5 frame work roll diameter Dwk480mm, diameter D of intermediate rollmk460mm support roll diameter Dbk1200mm, 1-5 frame work roll profile distribution delta D wki0, intermediate roll profile Δ DmkiRoll profile distribution Delta D of supporting roll (0)bkiRoll body length L of 0, 1-5 frame working rollwk2030mm, intermediate roll length Lmk2030mm and the length L of the roller body of the supporting rollerbk2030mm,1-5 frame screw pitch lwk3030mm, middle screw pitch l between intermediate rollersmk3030mm, support roller screw-down screw middle spacing lbk3030mm, 1-5 allowable maximum and minimum play of machine frame
δkmin0mm,1-5 maximum and minimum roll bending forces S of the framekmax＝500KN、Skmin0KN, the equipment allows the coefficient omega of the pressure uniformity between the rollers0＝0.25；
(b) Collecting the key rolling technological parameters of the strip steel of the plate shape and the plate convexity to be controlled, which mainly comprises the following steps: transverse thickness distribution of incoming material
Transverse distribution value L of incoming material plate shapeiWidth of strip steel is 1.2m, average back tension T of strip steel of 1-5 framesok{49, 176, 176, 176, 176} Mpa, average front tension Tik{176, 176, 176, 176, 49} Mpa, 1-5 frame reduction elongation set value epsilonk＝{0.34，0.32，0.27，0.26，0.09}；
(c) Carrying out fuzzy optimization on related plate shape control parameters and defining an initial target value F0＝1.0×1010Meanwhile, the maximum value F of the target function of the comprehensive control of the shape and the convexity of the plate allowed in the given engineering is givenmax0.05, introducing comprehensive roll shifting coefficient lambda1Comprehensive roll bending coefficient lambda2And the comprehensive roll-tilting coefficient lambda3Three variables ofThe fixed roll-shifting optimizing step delta is 10mm, the bending roll optimizing step delta S is 10KN, and the roll-tilting optimizing step delta eta is 1 mm.
(d) The fuzzy optimization of the roll shifting amount comprises the following steps:
(d-1) setting the roll bending force to a ground state and the roll tilting force to 0;
(d-2) let λ1＝0；
(d-3)δk＝δkmin+λ1Δδ＝0+0＝0；
(d-4) calculating an objective function F (X) ═ F10.69 and 0.42 of the uniformity degree omega of the pressure between the rollers;
(d-5) judgment of the inequality F1≤Fmax0.05 and ω ≦ ω0Is 0.25 true at the same time? If yes, switching to the step (d-8), otherwise, switching to the step (d-6);
(d-6) judgment of the inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Transferring to the step (d-7), otherwise, directly transferring to the step (d-7);
(d-7) determination of the inequality deltak≤δkmaxIs there any? If yes, let λ1＝λ1+1 go to step (d-3), otherwise, go to step (d-8) directly;
(d-8) output λ1Of (2) is determined1＝10。
(e) The fuzzy optimization of the roll bending force comprises the following steps:
(e-1) by λ1Setting the roll shifting amount and roll inclining amount to be 0 according to the optimal solution;
(e-2) let λ2＝0；
(e-3)Sk＝Skmin+λ2ΔS＝0+0＝0；
(e-4) calculating an objective function F (X) ═ F10.42 and 0.31 of the uniformity degree omega of the pressure between the rollers;
(e-5) judgment of the inequality F1≤Fmax0.05 and ω ≦ ω0Is 0.25 true at the same time? If yes, switching to the step (e-8), otherwise, switching to the step (e-6);
(e-6) judgment of the inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Transferring to the step (e-7), otherwise, directly transferring to the step (e-7);
(e-7) judgment of the inequality Sk≤SkmaxIs there any? If yes, let λ2＝λ2The step (e-3) is switched to +1, otherwise, the step (e-8) is directly switched to;
(e-8) output λ2Of (2) is determined2＝12。
(f) Roll inclination amount fuzzy optimization comprises the following steps:
(f-1) by λ1＝10、λ2Setting roll shifting amount and roll bending force for 12 optimal solutions;
(f-2) let λ3＝0；
(f-3)ηk＝ηkmin+λ3Δη＝0+0＝0；
(F-4) calculating an objective function F (X) ═ F10.31 and 0.24 of the uniformity degree omega of the pressure between the rollers;
(F-5) judgment of the inequality F1≤Fmax0.05 and ω ≦ ω0Is 0.25 true at the same time? If yes, switching to the step (f-8), otherwise, switching to the step (f-6);
(F-6) judgment of the inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Step (f-7) is carried out, otherwise, step (f-7) is directly carried out;
(f-7) determination of the inequality etak≤ηkmaxIs there any? If yes, let λ3＝λ3+1 go to step (f-3), otherwiseDirectly transferring to the step (f-8);
(f-8) output λ3Of (2) is determined3＝3。
(g) Output comprehensive roll shifting coefficient lambda1 Optimal solution lambda 110, combined roll bending coefficient lambda2 Optimal solution lambda 212 and the optimal solution λ of the comprehensive roll coefficient3＝3。
The fuzzy optimization technology for the plate shape of the five-stand six-roller cold continuous rolling unit is applied to field practical production, and the optimized values of the plate shape of the finished strip steel before and after the optimization are obtained, for example, as shown in FIG. 7, the plate shape values of the typical specification product before and after the optimization are respectively reduced from 15.6I to 4.1I, the plate shape optimization effect is obvious, the fuzzy optimization technology for the plate shape of the 2030 cold continuous rolling unit has practical significance for the field practical production, and the plate shape quality of the finished strip steel of the unit is obviously improved.
Example 2:
in this embodiment, a fuzzy optimization method for a plate shape of a five-stand six-roll cold continuous rolling mill set is described in detail by taking an incoming material mark of SPCC and specification of 0.21mm × 1260mm as an example, and the method includes the following steps:
(a) collecting 2030 equipment parameters of the cold continuous rolling unit, which mainly comprises the following steps: 1-5 frame work roll diameter Dwk480mm, diameter D of intermediate rollmk460mm support roll diameter Dbk1200mm, 1-5 frame work roll profile distribution delta D wki0, intermediate roll profile Δ DmkiRoll profile distribution Delta D of supporting roll (0)bkiRoll body length L of 0, 1-5 frame working rollwk2030mm, intermediate roll length Lmk2030mm and the length L of the roller body of the supporting rollerbk2030mm,1-5 frame screw pitch lwk3030mm, middle screw pitch l between intermediate rollersmk3030mm, support roller screw-down screw middle spacing lbk3030mm, 1-5 allowable maximum and minimum play of machine frame
δkmin0mm,1-5 maximum and minimum roll bending forces S of the framekmax＝500KN、Skmin0KN, the equipment allows the coefficient omega of the pressure uniformity between the rollers0＝0.25；
(b) Collecting the key rolling technological parameters of the strip steel of the plate shape and the plate convexity to be controlled, which mainly comprises the following steps: transverse thickness distribution of incoming material
Transverse distribution value L of incoming material plate shapeiWidth of strip steel is 1.26m, average back tension T of strip steel of 1-5 framesok{47, 164, 164, 164, 164} Mpa, average front tension TikSetting [ 164, 164, 164, 164, 47 ] Mpa, and 1-5 frame reduction elongation ratek＝{0.36，0.33，0.29，0.24，0.1}；
(c) Carrying out fuzzy optimization on related plate shape control parameters and defining an initial target value F0＝1.0×1010Meanwhile, the maximum value F of the target function of the comprehensive control of the shape and the convexity of the plate allowed in the given engineering is givenmax0.05, introducing comprehensive roll shifting coefficient lambda1Comprehensive roll bending coefficient lambda2And the comprehensive roll-tilting coefficient lambda3Three variables, the roll-shifting optimizing step delta is given to be 10mm, the roll bending optimizing step delta S is given to be 10KN, and the roll inclination optimizing step delta eta is given to be 1 mm.
(d) The fuzzy optimization of the roll shifting amount comprises the following steps:
(d-1) setting the roll bending force to a ground state and the roll tilting force to 0;
(d-2) let λ1＝0；
(d-3)δk＝δkmin+λ1Δδ＝0+0＝0；
(d-4) calculating an objective function F (X) ═ F10.51 and 0.35 of the degree of uniformity omega of the pressure between the rollers;
(d-5) judgment of the inequality F1≤Fmax0.05 and ω ≦ ω0Is 0.25 true at the same time? If yes, switching to the step (d-8), otherwise, switching to the step (d-6);
(d-6) judgment of the inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Transferring to the step (d-7), otherwise, directly transferring to the step (d-7);
(d-7) determination of the inequality deltak≤δkmaxIs there any? If yes, let λ1＝λ1+1 go to step (d-3), otherwise, go to step (d-8) directly;
(d-8) output λ1Of (2) is determined1＝11。
(e) The fuzzy optimization of the roll bending force comprises the following steps:
(e-1) by λ1Setting the roll shifting amount and roll inclining amount to be 0 according to the optimal solution;
(e-2) let λ2＝0；
(e-3)Sk＝Skmin+λ2ΔS＝0+0＝0；
(e-4) calculating an objective function F (X) ═ F10.35 and 0.28 of the uniformity degree omega of the pressure between the rollers;
(e-5) judgment of the inequality F1≤Fmax0.05 and ω ≦ ω0Is 0.25 true at the same time? If yes, switching to the step (e-8), otherwise, switching to the step (e-6);
(e-6) judgment of the inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Transferring to the step (e-7), otherwise, directly transferring to the step (e-7);
(e-7) judgment of the inequality Sk≤SkmaxIs there any? If yes, let λ2＝λ2The step (e-3) is switched to +1, otherwise, the step (e-8) is directly switched to;
(e-8) output λ2Of (2) is determined2＝14。
(f) Roll inclination amount fuzzy optimization comprises the following steps:
(f-1) by λ1＝11、λ2Setting roll shifting amount and roll bending force as 14 optimal solutions;
(f-2) let λ3＝0；
(f-3)ηk＝ηkmin+λ3Δη＝0+0＝0；
(F-4) calculating an objective function F (X) ═ F10.29 and 0.28 of the uniformity degree omega of the pressure between the rollers;
(F-5) judgment of the inequality F1≤Fmax0.05 and ω ≦ ω0Is 0.25 true at the same time? If yes, switching to the step (f-8), otherwise, switching to the step (f-6);
(F-6) judgment of the inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,
Step (f-7) is carried out, otherwise, step (f-7) is directly carried out;
(f-7) determination of the inequality etak≤ηkmaxIs there any? If yes, let λ3＝λ3The step (f-3) is switched to +1, otherwise, the step (f-8) is directly switched to;
(f-8) output λ3Of (2) is determined3＝4。
(g) Output comprehensive roll shifting coefficient lambda1Optimal solution lambda111, integrated roll bending coefficient lambda2Optimal solution lambda214 and the optimal solution λ of the integrated roll coefficient3＝4。
The fuzzy optimization technology for the plate shape of the five-stand six-roller cold continuous rolling unit is applied to field practice production, and the plate shape values before and after the optimization of the finished product strip steel are obtained, for example, as shown in FIG. 8, the plate shape values before and after the optimization of the typical specification product are respectively reduced from 17.8I to 4.3I, the plate shape optimization effect is obvious, and the plate shape quality of the finished product strip steel of the unit is obviously improved.
The above description is only for the purpose of illustrating the technical solutions of the present invention, and those skilled in the art can make simple modifications or equivalent substitutions on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (8)
1. A fuzzy optimization method for a plate shape of a five-stand six-roller cold continuous rolling unit is characterized by comprising the following steps: the method comprises the following steps:
a. collecting equipment parameters of a five-frame six-roller cold continuous rolling unit;
b. collecting key rolling technological parameters of the strip steel of the shape and the convexity of the plate to be controlled;
c. defining an initial target value and giving an optimization step length;
d. carrying out fuzzy optimization on roll shifting amount;
e. carrying out fuzzy optimization on roller bending force;
f. carrying out fuzzy optimization on roll tilting amount;
g. and outputting the optimal solution of the comprehensive roll shifting coefficient, the comprehensive roll bending coefficient and the comprehensive roll inclining coefficient.
2. The method of claim 1, wherein: the step a of collecting the equipment parameters of the five-frame six-roller cold continuous rolling unit comprises the following steps:
1-5 frame work roll diameter DwkDiameter D of intermediate rollmkDiameter D of the support rollerbk1-5 machine frame working roll profile distribution delta DwkiMiddle roll profile distribution Δ DmkiRoll profile distribution Delta D of support rollbki1-5 machine frame work roll body length LwkLength L of intermediate roll bodymkLength L of the roll body of the supporting rollbk1-5 interval l between press screws of machine framewkMiddle distance l between the middle rollers and the screwmkThe interval l between the support roller and the screwbk1-5 allowable maximum and minimum run-out δ of rackkmax、δkmin1-5 maximum and minimum roll bending forces S of the framekmax、SkminThe allowable roll pressure uniformity coefficient omega of the equipment0。
3. The method of claim 2, wherein: the step b of collecting the key rolling process parameters of the strip steel with the plate shape and the plate convexity to be controlled comprises the following steps:
transverse thickness distribution H of incoming materialiTransverse distribution value L of incoming sheetiWidth of strip B, 1-5 frame strip average back tension TokAverage front tension Tik1-5 set value epsilon of elongation of rolling reduction of machine framek。
4. The method of claim 3, wherein: the step c is specifically as follows:
carrying out fuzzy optimization on related plate shape control parameters and defining an initial target value F0Let F0＝1010Meanwhile, the maximum value F of the target function of the comprehensive control of the shape and the convexity of the plate allowed in the given engineering is givenmaxIntroducing a comprehensive roll shifting coefficient lambda1Comprehensive roll bending coefficient lambda2And the comprehensive roll-tilting coefficient lambda3Three variables, namely a given roll-shifting optimizing step delta, a given roll bending optimizing step delta S and a given roll inclination optimizing step delta eta.
5. The method of claim 4, wherein: the step d comprises the following steps:
d-1, setting the roll bending force to a ground state and setting the roll tilting force to 0;
d-2, let λ1＝0；
d-3、δk＝δkmin+λ1Δδ；
d-4, calculating an objective function
And the degree omega of pressure uniformity between the rolls; in the formula: sigma15iIs 1-5 frame strip steel plate shape, betaiFor the target strip shape,. DELTA.h5iIs the convexity of the section of the strip steel of the fifth frame, delta hiThe convexity of the target section is taken as the convexity;
d-5, judgment inequality F1≤FmaxAnd omega is less than or equal to omega0Is it true at the same time? If yes, switching to the step d-8, otherwise, switching to the step d-6;
d-6, judgment inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,λ1 *＝λ1Step d-7 is carried out, otherwise, step d-7 is directly carried out;
d-7, judging inequality deltak≤δkmaxIs there any? If yes, let λ1＝λ1Switching to the step d-3 for +1, otherwise, directly switching to the step d-8;
d-8, output lambda1The optimal solution of (1).
6. The method of claim 5, wherein: the step e comprises the following steps:
e-1, according to lambda1Setting the roll shifting amount and roll inclining amount to be 0 according to the optimal solution;
e-2, order of lambda2＝0；
e-3、Sk＝Skmin+λ2ΔS；
e-4, calculating the objective function F (X) ═ F1And the degree omega of pressure uniformity between the rolls;
e-5, judgment inequality F1≤FmaxAnd omega is less than or equal to omega0Is it true at the same time? If yes, switching to the step e-8, otherwise, switching to the step e-6;
e-6, judgment inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,λ2 *＝λ2Switching to the step e-7, otherwise, directly switching to the step e-7;
e-7, judging inequality Sk≤SkmaxIs there any? If yes, let λ2＝λ2Switching to the step e-3 for +1, otherwise, directly switching to the step e-8;
e-8, output λ2The optimal solution of (1).
7. The method of claim 6, wherein: the step f comprises the following steps:
f-1, by λ1、λ2Setting roll shifting amount and roll bending force according to the optimal solution;
f-2, let λ3＝0；
f-3、ηk＝ηkmin+λ3Δη；
F-4, calculating the target function F (X) ═ F1And the degree omega of pressure uniformity between the rolls;
f-5, judgment inequality F1≤FmaxAnd omega is less than or equal to omega0Is it true at the same time? If yes, switching to a step f-8, otherwise, switching to a step f-6;
f-6, judgment inequality F1≤F0And omega is less than or equal to omega0Is it true at the same time? If both are true, let F0＝F1,λ3 *＝λ3F-7, otherwise, directly performing the step f-7;
f-7, judging inequality etak≤ηkmaxIs there any? If yes, let λ3＝λ3+1 go to step f-3, otherwise, go to step f-8 directly;
f-8, output lambda3The optimal solution of (1).
8. The method of claim 7, wherein: step g is specifically outputting a comprehensive roll shifting coefficient lambda1Comprehensive roll bending coefficient lambda2And the comprehensive roll-tilting coefficient lambda3The optimal solution of (1).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110889171.4A CN113399472A (en) | 2021-08-04 | 2021-08-04 | Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110889171.4A CN113399472A (en) | 2021-08-04 | 2021-08-04 | Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113399472A true CN113399472A (en) | 2021-09-17 |
Family
ID=77688276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110889171.4A Pending CN113399472A (en) | 2021-08-04 | 2021-08-04 | Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113399472A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114011884A (en) * | 2021-10-19 | 2022-02-08 | 武汉钢铁有限公司 | Plate shape control method of cold-rolled wide plate |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101301659A (en) * | 2008-03-15 | 2008-11-12 | 燕山大学 | On-line method for setting mechanism model-based plate parameter of double UCM temper milling machine group |
| CN101412043A (en) * | 2007-12-26 | 2009-04-22 | 燕山大学 | Integrated control method of double-six roller UCM type flattening machine group plate shape |
| CN101602067A (en) * | 2008-03-08 | 2009-12-16 | 燕山大学 | Five frame UCM tandem mills plate shapes and the online integrated control method of strip crown |
| CN104289524A (en) * | 2014-09-15 | 2015-01-21 | 燕山大学 | Complex wave shape control method suitable for four-roll leveling unit |
-
2021
- 2021-08-04 CN CN202110889171.4A patent/CN113399472A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101412043A (en) * | 2007-12-26 | 2009-04-22 | 燕山大学 | Integrated control method of double-six roller UCM type flattening machine group plate shape |
| CN101602067A (en) * | 2008-03-08 | 2009-12-16 | 燕山大学 | Five frame UCM tandem mills plate shapes and the online integrated control method of strip crown |
| CN101301659A (en) * | 2008-03-15 | 2008-11-12 | 燕山大学 | On-line method for setting mechanism model-based plate parameter of double UCM temper milling machine group |
| CN104289524A (en) * | 2014-09-15 | 2015-01-21 | 燕山大学 | Complex wave shape control method suitable for four-roll leveling unit |
Non-Patent Citations (2)
| Title |
|---|
| 李秀军: "宝钢1220DCR机组中间辊辊型设计技术的研究", 《上海金属》 * |
| 邢德茂: "2030mm冷连轧机组板形综合优化设定技术", 《机械工程与自动化》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114011884A (en) * | 2021-10-19 | 2022-02-08 | 武汉钢铁有限公司 | Plate shape control method of cold-rolled wide plate |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP3174457B2 (en) | Continuous casting direct hot rolling equipment and rolling method | |
| CN101412043B (en) | Integrated control method of double-six roller UCM type flattening machine group plate shape | |
| CN109078989B (en) | Limit rolling speed prediction method of six-roller cold rolling mill | |
| CN103978043B (en) | Method applicable to rolling force and tension force coordinated control of dual-rack four-roller leveling unit | |
| CN103962391B (en) | Rolling load optimization method for hot continuous finishing mill group | |
| CN107457273A (en) | The board-shape control method and hot-rolling finishing mill of hot-rolling finishing mill | |
| CN113333477B (en) | Method for controlling roll gap during online roll changing and dynamic regulation changing of ESP finishing mill group | |
| CN113399472A (en) | Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit | |
| JPH02124B2 (en) | ||
| CN111842506B (en) | Roll shifting control method for five-frame six-roll cold continuous rolling unit | |
| CN101422785B (en) | Method for adjusting middle-roller drunkenness in double cold reduction shadow-mask strip-steel machine | |
| CN111842505A (en) | Roll inclination control method for five-frame six-roll cold continuous rolling unit | |
| CN109877167B (en) | Tension influence coefficient analysis method for improving rolling stability of degree of freedom | |
| CN111702007A (en) | Hot rolling finishing mill group strip steel head deviation control method | |
| CN115351096A (en) | Method for optimally setting bending roll | |
| CN113369314A (en) | Fine optimization control technology for plate shape of five-frame six-roller cold continuous rolling unit | |
| CN113617856A (en) | Roll bending force comprehensive optimization method of cold continuous rolling unit with dynamic roll gap control as target | |
| CN114918259A (en) | Method for evaluating plate shape control capability | |
| CN109420682A (en) | A kind of board-shape control method of cold-rolled thin steel strip | |
| CN113857297A (en) | Method and system for controlling plate shape of straightening machine | |
| CN114393044B (en) | Wide and thick plate shape buckling and plate convexity control method | |
| CN114309084B (en) | Roll bending compensation method of cold continuous rolling unit based on section shape of incoming material | |
| CN113560351B (en) | Feedforward control method and system for plate shape and section shape of ultrahigh-strength steel | |
| CN112718873B (en) | Method for improving straightness of front end part of steel rail | |
| CN111001661B (en) | Method for optimizing steel strip structure in middle slab rolling process |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210917 |