CN102371279A - Adaptive control method for increasing thickness precision of finish-rolled band steel by utilizing roll gap - Google Patents

Adaptive control method for increasing thickness precision of finish-rolled band steel by utilizing roll gap Download PDF

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CN102371279A
CN102371279A CN2010102635913A CN201010263591A CN102371279A CN 102371279 A CN102371279 A CN 102371279A CN 2010102635913 A CN2010102635913 A CN 2010102635913A CN 201010263591 A CN201010263591 A CN 201010263591A CN 102371279 A CN102371279 A CN 102371279A
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roll gap
thickness
rolling
value
frame
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CN102371279B (en
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张健民
李维刚
杜斌
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Baoshan Iron and Steel Co Ltd
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Baoshan Iron and Steel Co Ltd
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Abstract

The invention relates to the field of production and control of a finish-rolled band steel, in particular to a method for controlling a thickness of a finish-rolled band steel. An adaptive control method for increasing the thickness precision of a finish-rolled steel band by utilizing a roll gap is characterized in that the method comprises the following steps of establishing a roll gap modification quantity static table which performs indexing according to the layers of band steels; before rolling the band steels, identifying the layer of the current rolling band steel, determining the roll gap modification current value, summing the roll gap modification current value with the zero point modification current values of racks, obtaining a roll gap model learning coefficients of the racks used for rolling setting pre-calculation; after rolling the band steels, detecting the obtained band steel final rolling thickness value and the actual roll gap value of the rack at the finish-rolling end, calculating the values, obtaining the band steel final rolling thickness deviation, the initial roll gap deviation value and the roll gap modification update value, for example, when the layer of the same coil of band steel is different with that of the former coil of band steel, the roll gap modification update value is saved in the roll gap modification quantity static table; and collecting the roller speed, roll gap, rolling force and final rolling thickness actually measured data of each rack, and then performing zero point modification of the roll gap. According to the method provided by the invention, the roll gap modification value and zero point modification are used jointly, so that the adaptive capability of the roll gap model under the condition that the rolling planning specification is variable can be improved, thereby improving the setting precision of the model and realizing accurate control to the thickness of the band steel.

Description

Utilize the roll gap self adaptation to improve the control method of fine-rolling strip steel thickness and precision
Technical field
The present invention relates to fine-rolling strip steel production control field, relate in particular to a kind of method for controlling thickness of fine-rolling strip steel.
Background technology
In the fine-rolling strip steel production process, be the leading indicator of measuring quality to the control accuracy level of fine-rolling strip steel thickness, be directly connected to the economic benefit of Iron and Steel Production producer.Along with the development of society, the thickness and precision of fine-rolling strip steel is required strict more, often need reach ± 30 ~ ± level of 50um.
Realize high-precision fine-rolling strip steel THICKNESS CONTROL, need the perfect thickness control system of design.At first to clearly influence the factor of fine-rolling strip steel varied in thickness, could adopt corresponding countermeasure.The factor of every influence of rolled pressure, roll gap etc.; All will exert an influence to actual rolled piece exit thickness, the factor that influences the fine-rolling strip steel thickness and precision mainly contains the following aspects: the variation of the varied in thickness of supplied materials, the variation of material temperature, backing roll oil film, variation, thermal expansion of rollers and the wearing and tearing of tension force, roll and the influence of bearing off-centre, the influence of mill speed etc.As everyone knows; The thickness and precision of fine-rolling strip steel depends on the precision of set-up and calculated; So improve the thickness and precision of fine-rolling strip steel, must improve the basic mathematic model that constitutes set-up function, like the precision of distortion of materials drag, temperature computation, roll-force calculating, roll gap calculating.But the model that in set-up and calculated, adopts is derived by engineering method mostly, and model accuracy can not be very high.In order to improve the precision of model, people adopt the method for self study usually, through comparing back calculated value and measured value, come the correction model parameter, thereby improve model accuracy, are the practical techniques of present widely used fine-rolling strip steel thickness and precision control.
In fine-rolling strip steel THICKNESS CONTROL setting model adaptive learning process, difficulty below existing: 1, the intermediate stand belt steel thickness can not be surveyed, and only can measure the finish to gauge thickness of band steel; 2, strip speed can not be surveyed, and only can measure the speed of roll; 3, the intermediate stand belt steel temperature can not be surveyed, and only can measure finishing temperature; 4, along with the appearance of free rolling demand, the plan layout free degree is big, and single roll gap model learning is difficult to solve the thickness and precision problem under the changeable situation of band steel specification.
Mainly contain following several kinds of fine-rolling strip steel Thickness Control Technology at present:
On March 24th, (1) 2004, disclosed application number was 02132974.5 application for a patent for invention prospectus; Name is called " control method of band aluminium mill roll-gap "; Through accurate calculating to finish rolling inlet temperature (being the temperature of intermediate blank head); Solved and used Coil Box to batch the low problem of process control model head hit rate in the production process of intermediate blank; Bring up to now 96% from original 72%, controlled the precision of finishing mill roll gap and the width accuracy of hot rolled plate band effectively.
On November 17th, (2) 2004, disclosed application number was 200310119005.8 application for a patent for invention prospectus; Name is called " method of operation of rolling prediction steel plate thickness "; Comprise and calculate the influence of roll elastic deformation, measure the strain of mill housing and associated mechanical components, calculate mill spring mill spring; The thickness of prediction steel plate and the null offset of elimination mill spring model can improve the thickness and precision of steel plate to the steps such as influence of thickness prediction.
There is following problem in above-mentioned prior art: technology (1) only improves the belt steel thickness precision through improving finish rolling inlet temperature precision; Technology (2) improves thickness and precision through eliminating the null offset of spring model to the influence of thickness prediction.Even used above technology simultaneously, big in the belt steel temperature fluctuation, under rolling scaduled specification of while was jumped big situation, the belt steel thickness precision still had bad trend.
Summary of the invention
Technical problem to be solved by this invention provides a kind of control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision; Eliminate the roll gap model dynamic error of bringing because of the continuous variation of roller heat convex degree learning, wearing and tearing and equipment state through revising zero point; Eliminate because of band steel layer in rolling scaduled not constantly switches the roll gap model static error of bringing through the roll gap correction, realize accurate control belt steel thickness.
The present invention is achieved in that a kind of control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision, may further comprise the steps:
Step 1, set up a static form of roll gap correction that does not carry out index by band steel layer; Steel classification, level of thickness, identical each the winding steel of three parameters of width grade are other with one deck; The initial value of the other roll gap correction of each layer all gets 0; Later on when switching band steel layer is other, from form, get the roll gap correction before rolling, after the rolling end other roll gap correction of equivalent layer is upgraded;
Before step 2, the k winding steel rolling; Currency
Figure 647015DEST_PATH_IMAGE002
addition will be revised the zero point of roll gap correction currency
Figure 2010102635913100002DEST_PATH_IMAGE001
and i frame; Obtain the roll gap model learning coefficient of k winding steel i frame; Be used for the rolling setting precomputation of k winding steel
1) gets roll gap correction currency earlier; Like the residing layer of k winding steel and k-1 winding steel not simultaneously, then from the static form of roll gap correction, do not extract other roll gap correction currency of k winding steel respective layer
Figure 564155DEST_PATH_IMAGE001
; Like the residing layer of k winding steel and k-1 winding steel when not identical; Then roll gap correction currency
Figure 406209DEST_PATH_IMAGE001
is got the roll gap correction updating value
Figure 2010102635913100002DEST_PATH_IMAGE003
of k-1 winding steel, i.e. =
Figure 743354DEST_PATH_IMAGE004
;
2) then get and revise currency
Figure 2010102635913100002DEST_PATH_IMAGE005
zero point; Revise updating value
Figure 690451DEST_PATH_IMAGE006
, i.e.
Figure 2010102635913100002DEST_PATH_IMAGE007
zero point of getting the corresponding frame of k-1 winding steel;
3) at last with revising currency
Figure 281018DEST_PATH_IMAGE002
addition the zero point of the roll gap correction currency
Figure 19801DEST_PATH_IMAGE001
of k winding steel and k winding steel i frame; Obtain the roll gap model learning coefficient of k winding steel i frame, be used for the rolling setting precomputation of k winding steel i frame;
Behind step 3, the k winding steel rolling; Detect and obtain being with steel finish to gauge one-tenth-value thickness 1/10 from being installed in multi-functional instrument after the frame of finish rolling end; From the rolling process basic automation systems, obtain the actual gap values between rollers
Figure 2010102635913100002DEST_PATH_IMAGE009
of finish rolling end frame; From process control computer, obtain to be used for the band steel target thickness value
Figure 130211DEST_PATH_IMAGE010
and the finish rolling end frame target gap values between rollers
Figure 2010102635913100002DEST_PATH_IMAGE011
of rolling setting precomputation, calculate band steel finish to gauge thickness deviation
Figure 12104DEST_PATH_IMAGE012
and initial roll gap deviate
Figure 2010102635913100002DEST_PATH_IMAGE013
:
Figure 811433DEST_PATH_IMAGE014
(1)
(2)
And do following selection:
When 1) satisfying
Figure 2010102635913100002DEST_PATH_IMAGE017
as
Figure 459452DEST_PATH_IMAGE016
; Roll gap need not to revise, and roll gap correction instantaneous value
Figure 951613DEST_PATH_IMAGE018
assignment again is 0;
2) satisfy
Figure 2010102635913100002DEST_PATH_IMAGE019
or
Figure 646523DEST_PATH_IMAGE020
as
Figure 255555DEST_PATH_IMAGE016
; And when , the value of roll gap correction instantaneous value is initial roll gap deviate
Figure 749795DEST_PATH_IMAGE013
;
3) satisfy
Figure 619848DEST_PATH_IMAGE019
or as
Figure 541033DEST_PATH_IMAGE016
; And when
Figure 14106DEST_PATH_IMAGE022
, roll gap correction study instantaneous value
Figure 964744DEST_PATH_IMAGE018
is (3) assignment again by formula;
(3)
Wherein, Limit is the strip thickness deviation threshold value;
Step 4, calculate the updating value
Figure 971883DEST_PATH_IMAGE024
of the roll gap correction behind the k winding steel rolling according to formula (4); The layer of judging k winding steel is other; As the residing layer of k winding steel not with the residing layer of k-1 winding steel not not simultaneously, then with roll gap correction updating value
Figure 389614DEST_PATH_IMAGE024
deposit in layer corresponding in the static form of roll gap correction not in; When not identical with the residing layer of k-1 winding steel, then roll gap correction updating value
Figure 332162DEST_PATH_IMAGE024
does not deposit in the roll gap correction static state form like the residing layer of k winding steel;
Figure DEST_PATH_IMAGE025
?(4)
In the formula (4):
Figure 894730DEST_PATH_IMAGE024
is the roll gap correction updating value behind the k winding steel rolling;
Figure 377664DEST_PATH_IMAGE026
is that k winding steel rolling is set the fixed roll gap correction of precomputation currency, and
Figure DEST_PATH_IMAGE027
rule of thumb sets for smoothing factor;
Step 5, the speed of rolls of collecting each frame, roll gap, roll-force, finish to gauge thickness measured data; Calculate the same time point flow thickness of each frame of finish rolling and, utilize with revising at time point spring thickness and the zero point of carrying out roll gap with the difference of time point flow thickness with time point spring thickness; This step specifically comprises:
1) calculate the same time point flow thickness of each frame according to formula (5), (6),
Figure 912551DEST_PATH_IMAGE028
(5)
Figure DEST_PATH_IMAGE029
(6)
In the formula, the actual measurement speed of rolls (m/s) of
Figure 150634DEST_PATH_IMAGE030
----i frame;
The actual measurement speed of rolls (m/s) of
Figure DEST_PATH_IMAGE031
----finish rolling end frame;
The advancing slip value of
Figure 138182DEST_PATH_IMAGE032
----i frame;
The advancing slip value of
Figure DEST_PATH_IMAGE033
----finish rolling end frame;
The same time point flow thickness (mm) of
Figure 490053DEST_PATH_IMAGE034
----i frame;
----is with time point band steel finish to gauge thickness (mm);
The advancing slip learning coefficient of ----i frame;
Can know by formula (5), (6) formula; The advancing slip value of each frame and need mutual iteration with the calculating of time point flow thickness; Advancing slip value was got the advancing slip value of rolling setting precomputation when iterative computation was with time point flow thickness for the first time; Obtain the advancing slip value of back substitution formula (6) after obtaining upgrading with time point flow thickness, obtain with time point flow thickness and advancing slip value through iterative computation repeatedly;
2) calculate the same time point spring thickness of each frame according to formula (7),
Figure DEST_PATH_IMAGE037
(7)
Figure 22852DEST_PATH_IMAGE038
: the same time point spring thickness [mm] of each frame
S ACT: the same time point actual measurement roll gap [mm] of each frame
△ S: basic milling train elongation obtains [mm] according to actual measurement roll-force and milling train constant curve calculation
Figure DEST_PATH_IMAGE039
: width compensation coefficient, this coefficient are empirical coefficient
G WID: the width compensation gain, this coefficient is an empirical coefficient
△ F OIL: the oil film effect amount calculates [kN] according to the actual measurement speed of rolls and oil film trial curve
G: oil film gain coefficient, this coefficient are empirical coefficient
M: milling train constant, this coefficient are empirical coefficient [kN/mm]
3) utilize with time point spring thickness poor with time point flow thickness, calculate the updating value of revising zero point according to formula (8), (9);
Figure 497695DEST_PATH_IMAGE040
(8)
Figure DEST_PATH_IMAGE041
?(9)
Wherein:
Figure 650328DEST_PATH_IMAGE042
: the instantaneous value of i frame correction at zero point;
Figure DEST_PATH_IMAGE043
: the updating value of i frame correction at zero point;
Figure 959474DEST_PATH_IMAGE044
: the i frame is revised currency zero point;
Figure DEST_PATH_IMAGE045
: smoothing factor, this parameter are empirical parameter;
In the said step 3 multi-functional instrument detect obtain with the concrete grammar of steel finish to gauge one-tenth-value thickness 1/10
Figure 211464DEST_PATH_IMAGE008
do; Time-delay 0.5s began image data after multi-functional instrument was received enabling signal; Gather 10 cycles altogether; Phase 50ms weekly obtains being with steel finish to gauge one-tenth-value thickness 1/10
Figure 173604DEST_PATH_IMAGE008
to the data that collect through formula (2-1) computing:
(2-1)。
The concrete grammar that from the rolling process basic automation systems, obtains the finish rolling end actual gap values between rollers of frame in the said step 3 does; Time-delay 6s began to gather the actual gap values between rollers of finish rolling end frame after multi-functional instrument was received enabling signal; Gather 10 cycles altogether; Phase 50ms weekly obtains the finish rolling end actual gap values between rollers of frame
Figure 526590DEST_PATH_IMAGE009
to the data that collect through formula (2-2) computing:
Figure DEST_PATH_IMAGE047
(2-2)。
The value of smoothing factor in the described step 4
Figure 38343DEST_PATH_IMAGE027
is 0.25.
The value of smoothing factor in the described step 5 is 0.5.
To obtain the iterations with time point flow thickness and advancing slip value be three times to iterative computation in the said step 5.
The control method that the present invention utilizes the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision is eliminated the roll gap model dynamic error of bringing because of the continuous variation of roller heat convex degree learning, wearing and tearing and equipment state through revising zero point; Eliminate because of band steel layer in rolling scaduled not constantly switches the roll gap model static error of bringing through the roll gap correction, both unite the setting deviation that use can reduce the roll gap model better.Present technique has been improved the adaptive ability of roll gap model under the unchangeable situation of rolling scaduled layer, thereby improves the setting accuracy of model, realizes the accurate control to belt steel thickness.
Description of drawings
Fig. 1 improves for the present invention utilizes the roll gap self adaptation that roll gap correction in the control method of fine-rolling strip steel thickness and precision is upgraded and the FB(flow block) of storage;
Fig. 2 selects the FB(flow block) of roll gap correction currency for use when setting precomputation for belt steel rolling among the present invention;
Fig. 3 is for utilizing among the present invention with revising FB(flow block) at time point spring thickness and the zero point of carrying out roll gap with the difference of time point flow thickness;
Fig. 4 milling train constant curve;
Fig. 5 oil film trial curve.
The specific embodiment
Below in conjunction with specific embodiment, further set forth the present invention.Should be understood that these embodiment only to be used to the present invention is described and be not used in the restriction scope of the present invention.Should be understood that in addition those skilled in the art can do various changes or modification to the present invention after the content of having read the present invention's statement, these equivalent form of values fall within the application's appended claims institute restricted portion equally.
Embodiment 1
A kind of control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision may further comprise the steps:
Step 1, set up a static form of roll gap correction that does not carry out index by band steel layer; Steel classification, level of thickness, identical each the winding steel of three parameters of width grade are other with one deck; The initial value of the other roll gap correction of each layer all gets 0; Later on when switching band steel layer is other, from form, get the roll gap correction before rolling, after the rolling end other roll gap correction of equivalent layer is upgraded;
Before step 2, the k winding steel rolling; Currency addition will be revised the zero point of roll gap correction currency and i frame; Obtain the roll gap model learning coefficient of k winding steel i frame; Be used for the rolling setting precomputation of k winding steel
1) as shown in Figure 2; Get roll gap correction currency earlier; Like the residing layer of k winding steel and k-1 winding steel not simultaneously, then from the static form of roll gap correction, do not extract other roll gap correction currency of k winding steel respective layer ; Like the residing layer of k winding steel and k-1 winding steel when not identical; Then roll gap correction currency
Figure 142039DEST_PATH_IMAGE001
is got the roll gap correction updating value
Figure 152721DEST_PATH_IMAGE003
of k-1 winding steel, i.e.
Figure 182994DEST_PATH_IMAGE001
=
Figure 341442DEST_PATH_IMAGE004
;
2) then get and revise currency zero point; Revise updating value
Figure 980551DEST_PATH_IMAGE006
, i.e. zero point of getting the corresponding frame of k-1 winding steel;
3) at last with revising currency
Figure 142433DEST_PATH_IMAGE002
addition the zero point of the roll gap correction currency of k winding steel and k winding steel i frame; Obtain the roll gap model learning coefficient of k winding steel i frame, be used for the rolling setting precomputation of k winding steel i frame;
Behind step 3, the k winding steel rolling; Detect and obtain being with steel finish to gauge one-tenth-value thickness 1/10 from being installed in multi-functional instrument after the frame of finish rolling end; From the rolling process basic automation systems, obtain the actual gap values between rollers
Figure 562099DEST_PATH_IMAGE009
of finish rolling end frame; From process control computer, obtain to be used for the band steel target thickness value
Figure 632823DEST_PATH_IMAGE010
and the finish rolling end frame target gap values between rollers
Figure 748546DEST_PATH_IMAGE011
of rolling setting precomputation, calculate band steel finish to gauge thickness deviation
Figure 650643DEST_PATH_IMAGE012
and initial roll gap deviate
Figure 193620DEST_PATH_IMAGE013
.
The multi-functional instrument detection obtains with the concrete grammar of steel finish to gauge one-tenth-value thickness 1/10 ; Time-delay 0.5s began image data after multi-functional instrument was received enabling signal; Gather 10 cycles altogether; Phase 50ms weekly obtains being with steel finish to gauge one-tenth-value thickness 1/10
Figure 470722DEST_PATH_IMAGE008
to the data that collect through formula (2-1) computing:
Figure 165009DEST_PATH_IMAGE046
(2-1)。
The concrete grammar that from the rolling process basic automation systems, obtains the finish rolling end actual gap values between rollers of frame
Figure 878887DEST_PATH_IMAGE009
does; Time-delay 6s began to gather the actual gap values between rollers of finish rolling end frame after multi-functional instrument was received enabling signal; Gather 10 cycles altogether; Phase 50ms weekly obtains the finish rolling end actual gap values between rollers of frame
Figure 986520DEST_PATH_IMAGE009
to the data that collect through formula (2-2) computing:
Figure 444046DEST_PATH_IMAGE047
(2-2)。
As shown in Figure 1, calculate band steel finish to gauge thickness deviation
Figure 992839DEST_PATH_IMAGE016
and initial roll gap deviate
Figure 143198DEST_PATH_IMAGE013
:
Figure 472548DEST_PATH_IMAGE014
(1)
Figure 733765DEST_PATH_IMAGE015
(2)
And do following selection:
When 1) satisfying as
Figure 137065DEST_PATH_IMAGE016
; Roll gap need not to revise, and roll gap correction instantaneous value
Figure 277901DEST_PATH_IMAGE018
assignment again is 0;
2) satisfy
Figure 600614DEST_PATH_IMAGE019
or
Figure 92776DEST_PATH_IMAGE020
as
Figure 77229DEST_PATH_IMAGE016
; And when
Figure 131139DEST_PATH_IMAGE021
, the value of roll gap correction instantaneous value
Figure 734159DEST_PATH_IMAGE018
is initial roll gap deviate
Figure 377629DEST_PATH_IMAGE013
;
3) satisfy
Figure 566351DEST_PATH_IMAGE019
or
Figure 707483DEST_PATH_IMAGE020
as
Figure 775113DEST_PATH_IMAGE016
; And when
Figure 205460DEST_PATH_IMAGE022
, roll gap correction study instantaneous value
Figure 765056DEST_PATH_IMAGE018
is (3) assignment again by formula;
(3)
Wherein, Limit is the strip thickness deviation threshold value;
Step 4, as shown in Figure 1; Updating value
Figure 988412DEST_PATH_IMAGE024
according to the roll gap correction behind formula (4) the calculating k winding steel rolling; The layer of judging k winding steel is other; As the residing layer of k winding steel not with the residing layer of k-1 winding steel not not simultaneously, then with roll gap correction updating value
Figure 340896DEST_PATH_IMAGE024
deposit in layer corresponding in the static form of roll gap correction not in; When not identical with the residing layer of k-1 winding steel, then roll gap correction updating value
Figure 345761DEST_PATH_IMAGE024
does not deposit in the roll gap correction static state form like the residing layer of k winding steel;
Figure 846013DEST_PATH_IMAGE025
?(4)
In the formula (4):
Figure 328947DEST_PATH_IMAGE024
is the roll gap correction updating value behind the k winding steel rolling;
Figure 801516DEST_PATH_IMAGE026
is that k winding steel rolling is set the fixed roll gap correction of precomputation currency;
Figure 711704DEST_PATH_IMAGE027
rule of thumb sets for smoothing factor, and value is 0.25 in the present embodiment;
Step 5, as shown in Figure 3; Time-delay 6s began image data after multi-functional instrument was received enabling signal, gathered 10 cycles altogether, weekly phase 50ms; Data to collecting are passed through the processing like formula (2-1); Obtain the speed of rolls, roll gap, roll-force, the finish to gauge thickness measured data of each frame, calculate the same time point flow thickness of each frame of finish rolling and, utilize with revising at time point spring thickness and the zero point of carrying out roll gap with the difference of time point flow thickness with time point spring thickness; This step specifically comprises:
1) calculate the same time point flow thickness of each frame according to formula (5), (6),
Figure 699251DEST_PATH_IMAGE028
(5)
Figure 988806DEST_PATH_IMAGE029
(6)
In the formula, the actual measurement speed of rolls (m/s) of
Figure 315882DEST_PATH_IMAGE030
----i frame;
The actual measurement speed of rolls (m/s) of
Figure 662550DEST_PATH_IMAGE031
----finish rolling end frame;
The advancing slip value of
Figure 137393DEST_PATH_IMAGE032
----i frame;
The advancing slip value of
Figure 962130DEST_PATH_IMAGE033
----finish rolling end frame;
The same time point flow thickness (mm) of
Figure 143712DEST_PATH_IMAGE034
----i frame;
----is with time point band steel finish to gauge thickness (mm);
The advancing slip learning coefficient of
Figure 623421DEST_PATH_IMAGE036
----i frame;
Can know by formula (5), (6) formula; The advancing slip value of each frame and need mutual iteration with the calculating of time point flow thickness; Advancing slip value was got the advancing slip value of rolling setting precomputation when iterative computation was with time point flow thickness for the first time; Obtain the advancing slip value of back substitution formula (6) after obtaining upgrading with time point flow thickness, obtain with time point flow thickness and advancing slip value, carry out three iteration in the present embodiment and obtain accurately with time point flow thickness and advancing slip value through iterative computation repeatedly;
2) the same time point actual achievement data of collecting according to the front utilize formula (7) can calculate the same time point spring thickness of each frame, just with the actual achievement data of corresponding frame, accomplish corresponding one by one when calculating certain frame.
Figure 251849DEST_PATH_IMAGE037
(7)
: the same time point spring thickness [mm] of each frame
S ACT: the same time point actual measurement roll gap [mm] of each frame
△ S: basic milling train elongation obtains [mm] according to actual measurement roll-force and milling train constant curve calculation
Figure 976408DEST_PATH_IMAGE039
: width compensation coefficient; This coefficient is an empirical coefficient, and the strip width data that obtain according to test are processed to table look-up behind the form and obtained
G WID: the width compensation gain, this coefficient is an empirical coefficient, gets constant 1.0 in the present embodiment
△ F OIL: the oil film effect amount calculates [kN] according to the actual measurement speed of rolls and oil film trial curve
G: oil film gain coefficient, this coefficient are empirical coefficient, get constant 1.0 in the present embodiment usually
M: milling train constant, this coefficient are empirical coefficient, obtain [kN/mm] through the test of milling train constant
3) utilize with time point spring thickness poor with time point flow thickness, calculate the updating value of revising zero point according to formula (8), (9);
Figure 428774DEST_PATH_IMAGE048
(8)
Figure 595313DEST_PATH_IMAGE041
?(9)
Wherein:
: the instantaneous value of i frame correction at zero point;
Figure 610859DEST_PATH_IMAGE043
: the updating value of i frame correction at zero point;
Figure 282012DEST_PATH_IMAGE044
: the i frame is revised currency zero point;
Figure 455504DEST_PATH_IMAGE045
: smoothing factor; This parameter is an empirical parameter, and value is 0.5 in the present embodiment.
Provide below the corresponding step 2, three of the concrete 8 winding steel of certain domestic hot rolling line, four the computational process of roll gap correction.
In table 1, represent not sign of layer with LOTF, value be 0 o'clock be that different layers is other, value be 1 o'clock for other with one deck, with the not rolling band steel reel number of layer, the TBL item is the value in the other roll gap correction static state of the current layer form with the NLOT representative.During not rolling the 1st volume of and if only if new layer, just store rolling back roll gap correction updating value into other roll gap correction of current layer static form, strip thickness deviation threshold value Limit is set at 0.025mm.
Figure DEST_PATH_IMAGE049
The 1st volume: the other LOTF of new layer gets 0, and dso gets static table scale value-0.15; After the actual achievement data are obtained in rolling completion; After rolling; Calculated thickness deviation <img file=" 590820DEST_PATH_IMAGE014.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 94 " />=0.08; Initial roll gap deviate <img file=" 621092DEST_PATH_IMAGE015.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 137 " />=-0.77; Satisfy <img file=" 717224DEST_PATH_IMAGE012.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 24 " >0.025 condition; <img file=" 225566DEST_PATH_IMAGE021.GIF " he=" 20 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 77 " /> simultaneously is so roll gap correction study instantaneous value <img file=" 421580DEST_PATH_IMAGE018.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 26 " /> is got <img file=" 560437DEST_PATH_IMAGE050.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 28 " /> value-0.77; At last, <img file=" DEST_PATH_IMAGE051.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 119 " />=-0.15-0.77*0.25=-0.34; Because be that new layer is other, dsn is stored in the static form
The 2nd volume: the other code HNO3 of layer is different with the 1st volume, so LOTF=0, dso gets static table scale value-0.18; After rolling; Calculated thickness deviation <img file=" 268499DEST_PATH_IMAGE014.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 94 " />=0.04; Initial roll gap deviate <img file=" 580532DEST_PATH_IMAGE015.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 137 " />=-0.47; Satisfy <img file=" 565805DEST_PATH_IMAGE012.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 24 " >0.025 condition; <img file=" 937881DEST_PATH_IMAGE021.GIF " he=" 20 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 77 " /> simultaneously is so roll gap correction study instantaneous value <img file=" 70922DEST_PATH_IMAGE018.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 26 " /> is got <img file=" 124328DEST_PATH_IMAGE050.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 28 " /> value-0.47; At last, <img file=" 26425DEST_PATH_IMAGE051.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 119 " />=-0.3; Because be that new layer is other, dsn is stored in the static form.
The 3rd volume: the other code of layer is identical, so LOTF=1, NLOT=2, dso get the 2nd volume dsn value-0.3; After rolling; Calculated thickness deviation <img file=" 569402DEST_PATH_IMAGE014.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 94 " />=0.04; Initial roll gap deviate <img file=" 938809DEST_PATH_IMAGE015.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 137 " />=-0.25; Satisfy <img file=" 795906DEST_PATH_IMAGE012.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 24 " >0.025 condition; <img file=" 552509DEST_PATH_IMAGE021.GIF " he=" 20 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 77 " /> simultaneously is so roll gap correction study instantaneous value <img file=" 266388DEST_PATH_IMAGE018.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 26 " /> is got <img file=" 311704DEST_PATH_IMAGE050.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 28 " /> value-0.25; At last, <img file=" 769230DEST_PATH_IMAGE051.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 119 " />=-0.36; Because be that old layer is other, so dsn does not store in the static form.
The 4th volume: the other code HNO2 of layer, HNO3 and the 3rd roll up different, so LOTF=0, dso gets static table scale value-0.01; After rolling; Calculated thickness deviation <img file=" 380340DEST_PATH_IMAGE014.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 94 " />=-0.07; Initial roll gap deviate <img file=" 530699DEST_PATH_IMAGE015.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 137 " />=0.02; Satisfy <img file=" 797732DEST_PATH_IMAGE012.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 24 " /> < condition of 0.025; <img file=" 793370DEST_PATH_IMAGE021.GIF " he=" 20 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 77 " /> simultaneously is so roll gap correction study instantaneous value <img file=" 524565DEST_PATH_IMAGE018.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 26 " /> is got <img file=" 783508DEST_PATH_IMAGE050.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 28 " /> value 0.02; At last, <img file=" 337505DEST_PATH_IMAGE051.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 119 " />=0.02; Because be that new layer is other, DSN is stored in the static form;
The 5th volume: the other code of layer is identical, so LOTF=1, NLOT=2, dso get the 4th volume dsn value 0.02; After rolling; Calculated thickness deviation <img file=" 402413DEST_PATH_IMAGE014.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 94 " />=0.05; Initial roll gap deviate <img file=" 988115DEST_PATH_IMAGE015.GIF " he=" 25 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 137 " />=-0.47; Satisfy <img file=" 214697DEST_PATH_IMAGE012.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 24 " >0.025 condition; <img file=" 456323DEST_PATH_IMAGE021.GIF " he=" 20 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 77 " /> simultaneously is so roll gap correction study instantaneous value <img file=" 59342DEST_PATH_IMAGE018.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 26 " /> is got <img file=" 499551DEST_PATH_IMAGE050.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 28 " /> value-0.47; At last, <img file=" 162614DEST_PATH_IMAGE051.GIF " he=" 19 " img-content=" drawing " img-format=" jpg " inline=" no " orientation=" portrait " wi=" 119 " />=-0.1; Because be that old layer is other, so dsn does not store in the static form.
The 6th volume: the other code of layer is identical, so LOTF=1, NLOT=3, dso get the 5th volume dsn value-0.1; After rolling; Calculated thickness deviation
Figure 625956DEST_PATH_IMAGE052
; Initial roll gap deviate
Figure DEST_PATH_IMAGE053
; Because-0.025 <
Figure 97913DEST_PATH_IMAGE012
< 0.025, so roll gap correction study instantaneous value gets 0; At last,
Figure 164275DEST_PATH_IMAGE054
; Because be that old layer is other, so dsn does not store in the static form.
The 7th volume: the other code of layer is identical, so LOTF=1, NLOT=4, dso get the 6th volume dsn value-0.1; After rolling; Calculated thickness deviation =-0.04; Initial roll gap deviate =-0.29; Because
Figure 740116DEST_PATH_IMAGE012
< 0.025;
Figure DEST_PATH_IMAGE055
simultaneously is so roll gap correction study instantaneous value
Figure 541719DEST_PATH_IMAGE018
is got-0.5*
Figure 41970DEST_PATH_IMAGE012
=0.02; At last,
Figure 728166DEST_PATH_IMAGE051
=-0.1; Because be that old layer is other, so dsn does not store in the static form.
The 8th volume: the other code of layer is identical, so LOTF=1, NLOT=5, dso get the 7th volume dsn value-0.1; After rolling; Calculated thickness deviation
Figure 997474DEST_PATH_IMAGE014
=-0.02; Initial roll gap deviate
Figure 176170DEST_PATH_IMAGE015
=-0.13; Because-0.025 <
Figure 101400DEST_PATH_IMAGE012
< 0.025, so roll gap correction study instantaneous value
Figure 388025DEST_PATH_IMAGE018
gets 0; At last, ; Because be that old layer is other, so dsn does not store in the static form.
Because data volume is bigger, only provide the computational process of the corresponding step 5 of the first winding steel in the table 1 below.
When going into operation, production line obtains like Fig. 4, the milling train constant curve shown in 5 and oil film trial curve through the testing experiment data.
The finished width of the first winding steel is 1110mm in the table 1; Band steel target thickness value
Figure 124086DEST_PATH_IMAGE010
1.8mm, F1 frame inlet thickness is 31.9mm.
The actual measurement speed of rolls
Figure DEST_PATH_IMAGE057
of finish rolling end frame is 9.92m/s; With time point band steel finish to gauge thickness is 1.87mm (these data are different with the actual measurement thickness in the table 1, are because both collections are different opportunity).For the first time the advancing slip value of iterative computation is got the value of rolling setting precomputation, through after three iterative computation, and the same time point flow thickness of each frame and the result of calculation such as the table 2 of advancing slip value.
Figure 333350DEST_PATH_IMAGE058
The corresponding milling train elongation of milling train elongation-acyclic homologically trioial roll-force that basic milling train elongation=actual measurement roll-force is corresponding
The oil film effect amount that the oil film effect amount that oil film effect amount=actual measurement roll rotational speed is corresponding-acyclic homologically trioial roll rotational speed is corresponding
The same time point spring thickness of each frame
Figure 423666DEST_PATH_IMAGE038
Result of calculation such as table 3, width compensation gain G in the present embodiment WIDReach all values 1.0 of oil film gain coefficient G, tabling look-up with strip width 1110mm obtains the width compensation coefficient
Figure 667566DEST_PATH_IMAGE039
Be 0.961, obtain basic milling train elongation △ S, obtain oil film effect amount △ F according to the actual measurement speed of rolls and oil film trial curve as shown in Figure 5 according to actual measurement roll-force and milling train constant curve as shown in Figure 4 OIL, obtaining milling train constant M through the test of milling train constant, the same time point spring thickness that finally obtains each frame is as shown in table 3.
Provide the computational process of the first winding steel correction at zero point below.Wherein, the spring thickness of the instantaneous value of revising zero point through each frame deducts flow thickness and obtains, and the currency of revising zero point is the updating value of the last winding steel got of rolling setting precomputation, and the updating value that revise zero point obtains through formula (9).
Figure 185135DEST_PATH_IMAGE060

Claims (6)

1. control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision may further comprise the steps:
Step 1, set up a static form of roll gap correction that does not carry out index by band steel layer; Steel classification, level of thickness, identical each the winding steel of three parameters of width grade are other with one deck; The initial value of the other roll gap correction of each layer all gets 0; Later on when switching band steel layer is other, from form, get the roll gap correction before rolling, after the rolling end other roll gap correction of equivalent layer is upgraded;
Before step 2, the k winding steel rolling; Currency
Figure DEST_PATH_IMAGE004
addition will be revised the zero point of roll gap correction currency
Figure 2010102635913100001DEST_PATH_IMAGE002
and i frame; Obtain the roll gap model learning coefficient of k winding steel i frame; Be used for the rolling setting precomputation of k winding steel
1) gets roll gap correction currency earlier; Like the residing layer of k winding steel and k-1 winding steel not simultaneously, then from the static form of roll gap correction, do not extract other roll gap correction currency of k winding steel respective layer
Figure 164471DEST_PATH_IMAGE002
; Like the residing layer of k winding steel and k-1 winding steel when not identical; Then roll gap correction currency
Figure 81611DEST_PATH_IMAGE002
is got the roll gap correction updating value
Figure DEST_PATH_IMAGE006
of k-1 winding steel, i.e.
Figure 736715DEST_PATH_IMAGE002
=
Figure DEST_PATH_IMAGE008
;
2) then get and revise currency
Figure DEST_PATH_IMAGE010
zero point; Revise updating value
Figure DEST_PATH_IMAGE012
, i.e.
Figure DEST_PATH_IMAGE014
zero point of getting the corresponding frame of k-1 winding steel;
3) at last with revising currency addition the zero point of the roll gap correction currency
Figure 879727DEST_PATH_IMAGE002
of k winding steel and k winding steel i frame; Obtain the roll gap model learning coefficient of k winding steel i frame, be used for the rolling setting precomputation of k winding steel i frame;
Behind step 3, the k winding steel rolling; Detect and obtain being with steel finish to gauge one-tenth-value thickness 1/10
Figure DEST_PATH_IMAGE016
from being installed in multi-functional instrument after the frame of finish rolling end; From the rolling process basic automation systems, obtain the actual gap values between rollers
Figure DEST_PATH_IMAGE018
of finish rolling end frame; From process control computer, obtain to be used for the band steel target thickness value
Figure DEST_PATH_IMAGE020
and the finish rolling end frame target gap values between rollers
Figure DEST_PATH_IMAGE022
of rolling setting precomputation, calculate band steel finish to gauge thickness deviation
Figure DEST_PATH_IMAGE024
and initial roll gap deviate
Figure DEST_PATH_IMAGE026
:
Figure DEST_PATH_IMAGE028
(1)
Figure DEST_PATH_IMAGE030
(2)
And do following selection:
When 1) satisfying
Figure DEST_PATH_IMAGE034
as
Figure DEST_PATH_IMAGE032
; Roll gap need not to revise, and roll gap correction instantaneous value
Figure DEST_PATH_IMAGE036
assignment again is 0;
2) satisfy
Figure DEST_PATH_IMAGE038
or
Figure DEST_PATH_IMAGE040
as
Figure 890463DEST_PATH_IMAGE032
; And when
Figure DEST_PATH_IMAGE042
, the value of roll gap correction instantaneous value
Figure 32862DEST_PATH_IMAGE036
is initial roll gap deviate
Figure 169446DEST_PATH_IMAGE026
;
3) satisfy
Figure 704125DEST_PATH_IMAGE038
or
Figure 458454DEST_PATH_IMAGE040
as
Figure 773078DEST_PATH_IMAGE032
; And when
Figure DEST_PATH_IMAGE044
, roll gap correction study instantaneous value
Figure 70832DEST_PATH_IMAGE036
is (3) assignment again by formula;
Figure DEST_PATH_IMAGE046
(3)
Wherein, Limit is the strip thickness deviation threshold value;
Step 4, calculate the updating value
Figure DEST_PATH_IMAGE048
of the roll gap correction behind the k winding steel rolling according to formula (4); The layer of judging k winding steel is other; As the residing layer of k winding steel not with the residing layer of k-1 winding steel not not simultaneously, then with roll gap correction updating value
Figure 469583DEST_PATH_IMAGE048
deposit in layer corresponding in the static form of roll gap correction not in; When not identical with the residing layer of k-1 winding steel, then roll gap correction updating value
Figure 899428DEST_PATH_IMAGE048
does not deposit in the roll gap correction static state form like the residing layer of k winding steel;
Figure DEST_PATH_IMAGE050
?(4)
In the formula (4):
Figure 16419DEST_PATH_IMAGE048
is the roll gap correction updating value behind the k winding steel rolling;
Figure DEST_PATH_IMAGE052
is that k winding steel rolling is set the fixed roll gap correction of precomputation currency, and rule of thumb sets for smoothing factor;
Step 5, the speed of rolls of collecting each frame, roll gap, roll-force, finish to gauge thickness measured data; Calculate the same time point flow thickness of each frame of finish rolling and, utilize with revising at time point spring thickness and the zero point of carrying out roll gap with the difference of time point flow thickness with time point spring thickness; This step specifically comprises:
1) calculate the same time point flow thickness of each frame according to formula (5), (6),
Figure DEST_PATH_IMAGE056
(5)
Figure DEST_PATH_IMAGE058
(6)
In the formula, the actual measurement speed of rolls (m/s) of
Figure DEST_PATH_IMAGE060
----i frame;
The actual measurement speed of rolls (m/s) of ----finish rolling end frame;
The advancing slip value of ----i frame;
The advancing slip value of
Figure DEST_PATH_IMAGE066
----finish rolling end frame;
The same time point flow thickness (mm) of
Figure DEST_PATH_IMAGE068
----i frame;
Figure DEST_PATH_IMAGE070
----is with time point band steel finish to gauge thickness (mm);
The advancing slip learning coefficient of ----i frame;
Can know by formula (5), (6) formula; The advancing slip value of each frame and need mutual iteration with the calculating of time point flow thickness; Advancing slip value was got the advancing slip value of rolling setting precomputation when iterative computation was with time point flow thickness for the first time; Obtain the advancing slip value of back substitution formula (6) after obtaining upgrading with time point flow thickness, obtain with time point flow thickness and advancing slip value through iterative computation repeatedly;
2) calculate the same time point spring thickness of each frame according to formula (7),
Figure DEST_PATH_IMAGE074
(7)
Figure DEST_PATH_IMAGE076
: the same time point spring thickness [mm] of each frame
S ACT: the same time point actual measurement roll gap [mm] of each frame
△ S: basic milling train elongation obtains [mm] according to actual measurement roll-force and milling train constant curve calculation
Figure DEST_PATH_IMAGE078
: width compensation coefficient, this coefficient are empirical coefficient
G WID: the width compensation gain, this coefficient is an empirical coefficient
△ F OIL: the oil film effect amount calculates [kN] according to the actual measurement speed of rolls and oil film trial curve
G: oil film gain coefficient, this coefficient are empirical coefficient
M: milling train constant, this coefficient are empirical coefficient [kN/mm]
3) utilize with time point spring thickness poor with time point flow thickness, calculate the updating value of revising zero point according to formula (8), (9);
Figure DEST_PATH_IMAGE080
(8)
Figure DEST_PATH_IMAGE082
?(9)
Wherein:
Figure DEST_PATH_IMAGE084
: the instantaneous value of i frame correction at zero point;
Figure DEST_PATH_IMAGE086
: the updating value of i frame correction at zero point;
Figure DEST_PATH_IMAGE088
: the i frame is revised currency zero point;
Figure DEST_PATH_IMAGE090
: smoothing factor, this parameter are empirical parameter.
2. the control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision as claimed in claim 1; It is characterized in that: in the said step 3 multi-functional instrument detect obtain with the concrete grammar of steel finish to gauge one-tenth-value thickness 1/10
Figure 413247DEST_PATH_IMAGE016
do; Time-delay 0.5s began image data after multi-functional instrument was received enabling signal; Gather 10 cycles altogether; Phase 50ms weekly obtains being with steel finish to gauge one-tenth-value thickness 1/10
Figure 994401DEST_PATH_IMAGE016
to the data that collect through formula (2-1) computing:
Figure DEST_PATH_IMAGE092
(2-1)。
3. the control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision as claimed in claim 1; It is characterized in that: the concrete grammar that from the rolling process basic automation systems, obtains the finish rolling end actual gap values between rollers of frame
Figure 267251DEST_PATH_IMAGE018
in the said step 3 does; Time-delay 6s began to gather the actual gap values between rollers of finish rolling end frame after multi-functional instrument was received enabling signal; Gather 10 cycles altogether; Phase 50ms weekly obtains the finish rolling end actual gap values between rollers of frame to the data that collect through formula (2-2) computing:
Figure DEST_PATH_IMAGE094
(2-2)。
4. the control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision as claimed in claim 1, it is characterized in that: the value of smoothing factor in the described step 4
Figure 947423DEST_PATH_IMAGE054
is 0.25.
5. the control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision as claimed in claim 1, it is characterized in that: the value of smoothing factor in the described step 5
Figure 383084DEST_PATH_IMAGE090
is 0.5.
6. the control method of utilizing the roll gap self adaptation to improve the fine-rolling strip steel thickness and precision as claimed in claim 1 is characterized in that: to obtain the iterations with time point flow thickness and advancing slip value be three times to iterative computation in the said step 5.
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Cited By (22)

* Cited by examiner, † Cited by third party
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020053230A1 (en) * 1998-02-27 2002-05-09 Nippon Steel Corporation Strip rolling method and strip rolling mill
CN1546947A (en) * 2003-12-10 2004-11-17 东北大学 Method for predicting steel plate thickness during rolling process
JP2009113101A (en) * 2007-11-09 2009-05-28 Jfe Steel Corp Method and apparatus for learning control of rolling load, and manufacturing method of steel sheet
CN101618401A (en) * 2009-07-24 2010-01-06 东北大学 High precision strip rolling thickness control method based on feedback signals by thickness gauge
CN101804420A (en) * 2009-10-10 2010-08-18 唐山国丰钢铁有限公司 Method for controlling precision rolling thickness in production of hot rolled sheet

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020053230A1 (en) * 1998-02-27 2002-05-09 Nippon Steel Corporation Strip rolling method and strip rolling mill
CN1546947A (en) * 2003-12-10 2004-11-17 东北大学 Method for predicting steel plate thickness during rolling process
JP2009113101A (en) * 2007-11-09 2009-05-28 Jfe Steel Corp Method and apparatus for learning control of rolling load, and manufacturing method of steel sheet
CN101618401A (en) * 2009-07-24 2010-01-06 东北大学 High precision strip rolling thickness control method based on feedback signals by thickness gauge
CN101804420A (en) * 2009-10-10 2010-08-18 唐山国丰钢铁有限公司 Method for controlling precision rolling thickness in production of hot rolled sheet

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
叶红卫: "宝钢2050热轧过程厚度控制技术", 《宝钢技术》, no. 01, 25 February 2003 (2003-02-25), pages 23 - 27 *
张红云: "高精度中厚板轧制的厚度控制研究", 《陕西科技大学学报》, no. 05, 25 October 2006 (2006-10-25), pages 88 - 92 *

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