CN104259217B - A kind of control method for rolling based on Ribbed Bar rolling groove base radius - Google Patents
A kind of control method for rolling based on Ribbed Bar rolling groove base radius Download PDFInfo
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- CN104259217B CN104259217B CN201410372490.8A CN201410372490A CN104259217B CN 104259217 B CN104259217 B CN 104259217B CN 201410372490 A CN201410372490 A CN 201410372490A CN 104259217 B CN104259217 B CN 104259217B
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- 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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B1/00—Metal-rolling methods or mills for making semi-finished products of solid or profiled cross-section; Sequence of operations in milling trains; Layout of rolling-mill plant, e.g. grouping of stands; Succession of passes or of sectional pass alternations
- B21B1/16—Metal-rolling methods or mills for making semi-finished products of solid or profiled cross-section; Sequence of operations in milling trains; Layout of rolling-mill plant, e.g. grouping of stands; Succession of passes or of sectional pass alternations for rolling wire rods, bars, merchant bars, rounds wire or material of like small cross-section
- B21B1/163—Rolling or cold-forming of concrete reinforcement bars or wire ; Rolls therefor
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Abstract
The invention discloses a kind of control method for rolling based on Ribbed Bar rolling groove base radius, comprise Modling model, model configuration, set up rule, process control steps.The present invention starts with hot rolled ribbed bars rolling groove base radius computing formula, by the processing parameter gathered existing industries process control system, associate with national regulations, original unrelated equipment rolling parameter and macroscopical product parameters, closely combined by mathematical function relationship, set up the respective function relation of base radius relevant parameter and production Technological Parameters of Rolling Process, realize " the intelligence learning of the production technology operation of rolling, fuzzy control ", finally obtain rolling equipment parameter and finished product technological parameter that one group can be applicable to actual production guidance or production control process, thus the quality control level of hot rolled ribbed bars base radius in raising Rolling Production, the intelligentized automatic control of milling train base radius can be realized further.
Description
Technical field
The invention belongs to technical field of automation in industry, be specifically related to a kind of can improve rolling quality level of control and being convenient to realize automated production based on the method for base radius parameter real-time in Ribbed Bar rolling being carried out to production process control.
Background technology
Ribbed Bar extrudes through cold rolling or hot rolling the reinforcing bar become with rib with common wire, bar, is commonly called as screw-thread steel, because its strength ratio one-level steel is high, is widely used in the civil engineering construction such as house, bridge, road.
For rod hot rolling Ribbed Bar, through Data Collection for many years and production practices, for its specification Accuracy maximum be base radius (i.e. R system).If can accurately control its base radius in actual production, both ensure that rolled products specification homogeneous constant is in certain allowed band, sent when standard will be exceeded again and report to the police timely, for the production of hot rolled ribbed bars, to there is the important meaning of reality.In the control procedure of current each big steel enterprise rod hot rolling Ribbed Bar, traditional control method is by craft vernier caliper measurement finished size, manual calculation, often until to roll out when exceeding standard product and just realized, then adjusts milling train.This mode, the working experience of main dependence milling train technician, there is many uncertain factors in the adjustment of milling train, such as rolling temperature, design of section of rolling mill wearing and tearing with and the minor fluctuations of supplied materials size, capital causes the specifications vary of milling material, thus causes rolling quality unstable; In addition, because hot rolled ribbed bars exists thermal coefficient of expansion, hole type design formula very complicated (there is trigonometric function, evolution etc.), the simple hole type design adopting theory, very easily causes data deviation, distortion during calculating, in the frock development process of new spec Ribbed Bar, rolling groove frock needs repeatedly revise according to reality trial production situation and debug, cause debugging efforts intensity large, but also affect milling train production efficiency, be difficult to the changes in demand adapting to market multi items.
Summary of the invention
The object of the present invention is to provide a kind of can improve rolling quality level of control and being convenient to realize automated production based on the method for base radius parameter real-time in Ribbed Bar rolling being carried out to production process control.
The object of the present invention is achieved like this: comprise Modling model, model configuration, set up rule, process control steps, specifically comprise:
A, Modling model: set up hot rolled ribbed bars rolling groove base circle diameter (BCD) D
xmodel:
D
x=[D–nΔ]×η，
Wherein: n=0 ~ 0.1,
D-cold conditions nominal diameter,
Δ-cold conditions nominal diameter deviation,
η-thermal coefficient of expansion,
The basic circle parameter typing of dimension product is saved to database;
B, model configure: multi collect current rolling batch products technological parameter η, R
xwith product performance data D, Δ, d, δ, functional relation both setting up according to statistical probability:
f(d,δ)=g(R
x)
Wherein: d-finished diameter
δ-be product weight deviation
R
x-rolling groove base radius
By above-mentioned R
x, D, Δ, η, d and δ be saved to database;
C, foundation rule: continue to gather rolling technological parameter and product performance data, if described acquisition parameter is corresponding with the functional relation of model configuration step with data, then be defined as " hit " once and count, when " hit " number of times is greater than set point number, the functional relation of model configuration step is defined as " rule " functional relation and is saved to database;
D, process control: when the Ribbed Bar product of " rule " is set up in rolling again, gather current rolling parameter and corresponding " rule " functional relation computing that input is preserved is compared, export unreasonable parameters more afterwards and point out and/or control corresponding rolling parameter and change to and meet " rule " functional relation.
The present invention starts with hot rolled ribbed bars rolling groove base radius, according to the milling train last groove base circle diameter (BCD) computing formula of actual production, sets up the Mathematical Modeling of each key element relevant to base circle diameter (BCD); By the processing parameter to existing production process multi collect, through probability statistical analysis, original unrelated equipment rolling technological parameter and macroscopical product parameters, closely combined by mathematical function relationship, set up the respective function relation of base radius relevant parameter and production Technological Parameters of Rolling Process; Then through the judgment rule based on fuzzy control theory, the correlation derivation function relation of bar product actual parameter each element relationship relevant to affecting base circle diameter (BCD) is determined.Like this, when data are abundant, by the change of relevant macroparameter (specification, mark length, weight), cause base radius to change and there is certain correlation, based on being repeatedly correlated with, certain limit supposition can be carried out on affecting base radius each microscopic of being correlated with, and be revised by production reality, repeatedly revise and can obtain product attribute and R
xa set of roughly " rule " of coefficient.By carrying out statistical analysis to repeatedly rule, steel rolling personnel can be instructed or control milling train to the R of the finishing mill guide in the operation of rolling, loop length and finishing mill
xcoefficient adjusts immediately, thus realizes " intelligence learning, the fuzzy control " of the production technology operation of rolling.When " rule " is in the generation of large probability, it can be defined as alert if or controls milling train and make corresponding behavior; When concrete equipment adjustment, technical staff can pass through enquiry of historical data, instructs concrete adjustment work; Thus improve the quality control level of rolling, be also convenient to the Automated condtrol realizing the operation of rolling.
Accompanying drawing explanation
The pass structure schematic diagram that Fig. 1 is rolling groove spread angle alpha of the present invention when being 30 °;
In figure: α-extended corner (angle of sides), S-roll gap, R-base radius, B-spread, D1-rolled piece is high;
Fig. 2 is typical process schematic diagram of the present invention;
Fig. 3 is process control steps flow chart of the present invention;
In figure: the configuration of S100-Modling model, S200-model, S300-set up rule, S400-establishment model, S500-process control.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is further illustrated, but limited the present invention never in any form, and any conversion done based on training centre of the present invention or replacement, all belong to protection scope of the present invention.
As shown in accompanying drawing 1,2, the present invention includes Modling model, model configuration, set up rule, process control steps, specifically comprise:
A, Modling model: set up hot rolled ribbed bars rolling groove base circle diameter (BCD) D
xmodel:
D
x=[D–nΔ]×η，
Wherein: n=0 ~ 0.1,
D-cold conditions nominal diameter,
Δ-cold conditions nominal diameter deviation,
η-thermal coefficient of expansion,
The basic circle parameter typing of dimension product is saved to database;
B, model configure: multi collect current rolling batch products technological parameter η, R
xwith product performance data D, Δ, d, δ, functional relation both setting up according to statistical probability:
f(d,δ)=g(R
x)
Wherein: d-finished diameter
δ-be product weight deviation
R
x-rolling groove base radius
By above-mentioned R
x, D, Δ, η, d and δ be saved to database;
C, foundation rule: continue to gather rolling technological parameter and product performance data, if described acquisition parameter is corresponding with the functional relation of model configuration step with data, then be defined as " hit " once and count, when " hit " number of times is greater than set point number, the functional relation of model configuration step is defined as " rule " functional relation and is saved to database;
D, process control: when the Ribbed Bar product of " rule " is set up in rolling again, gather current rolling parameter and corresponding " rule " functional relation computing that input is preserved is compared, export unreasonable parameters more afterwards and point out and/or control corresponding rolling parameter and change to and meet " rule " functional relation.
In described Modling model step, when rolling groove spread angle alpha is 30 °, rolling groove base circle diameter (BCD) R
xmodel: R
x=[D – n Δ] × η/2, n=0 ~ 0.1.
Describedly set up in rule step, when the product actual weight gathered and standard weights exceed the deviation δ of setting value, if inquire the data group similar with this in a database, then think deviation δ and R
xcoefficient exists corresponding, is defined as " hit " and Auto-counting; When " hit " number of times is greater than set point number, by deviation δ and R
xfunctional relation be extracted as " rule " functional relation and be saved to database
Described set up rule step before also comprise model configuration step again: when product specification, weight information change or are abnormal, the corresponding basic circle parameter of typing in Modling model step again.
Establishment model step is also comprised: in process of production, when " rule " market demand number of times is greater than set point number, by deviation δ and R before described process control steps
xfunctional relation be defined as " pattern " functional relation and be saved to database.
In described process control steps, when the Ribbed Bar product of " pattern " is set up in rolling again, input rolling groove base circle diameter (BCD) R
xto corresponding " pattern " functional relation of preserving, export corresponding cold conditions nominal diameter D, deviation delta, thermal coefficient of expansion η and spread angle alpha and/or control milling train and automatically select corresponding technological parameter.
According to the definition of the limit, when rolling number of times is tending towards infinite, to each trimmed size (diameter) d and deviation δ value, by the pass R of a corresponding milling train relative constancy
xvalue, passes through R
xd can be gone out according to " pattern " with fuzzy inference, Δ, η value, instruct conversely or production control.
The described set point number set up in rule step and/or establishment model step is manually arrange or be fixed as 10 times.
Described to set up acquisition parameter in rule step corresponding with the functional relation of model configuration step with data be that the parameter that gathers and data input in the functional relation of model configuration step, and the left and right numerical difference of described functional relation is less than setting value.
As shown in Figure 3, in described model configuration step, during the Ribbed Bar product of the built vertical functional relation of follow-up continuation rolling, continue or stop respective function relation that having set up according to statistical probability correction according to setting.
Embodiment 1
As shown in Figure 2, control method is as follows:
S100: according to hot rolled ribbed bars finishing mill hole type design computing formula (α=30 °):
R=[D – n Δ] × η/2, n=0 ~ 0.1, sets up the function mapping model of base radius R and cold conditions nominal diameter D, deviation delta and thermal coefficient of expansion η.
S200: the characteristic information obtaining rolling equipment parameter and product based on ICP/IP protocol from the milling train industrial control system of production scene, and set up the functional relation f (d of deviation δ and base radius R, δ)=g (R), and D, Δ, η, d, δ value are stored in database.
S300: the functional relation set up according to step (2), when rolled piece calculates the weight with standard weights generation relatively large deviation (δ), system is added up historical data, if find similar data group with this, then think that deviation (δ) exists corresponding with R coefficient, be called " hit " and Auto-counting; When " hit " number of times is greater than 10 times of setting, system is extracted as " rule " corresponding with the function of R coefficient for deviation (δ), that is: as specification d=XX, deviation δ=YY, R is roughly ZZ, and is stored in database.
S400: when " rule " market demand number of times is greater than 10 times of setting, system is extracted as " pattern " corresponding with the function of R coefficient for deviation (δ), that is: as specification d=XX, deviation δ=YY, according to mathematical limit definition, R trends towards ZZ.
S500: when the Ribbed Bar product of " rule " is set up in rolling again, gather current rolling parameter and input corresponding " rule " the functional relation computing of preserving comparing with stored parameter, export more afterwards and be judged to be that irrational parameters is pointed out and/or controlled corresponding rolling parameter and change to and meet " rule " functional relation; Or when the Ribbed Bar product of " pattern " or close product are set up in rolling again, input corresponding base radius R, D can be derived according to " pattern ", Δ, η value, thus instruct steel rolling personnel or the R coefficient of control milling train to the finishing mill guide in the operation of rolling, loop length and finishing mill immediately to adjust.
Claims (9)
1., based on a control method for rolling for Ribbed Bar rolling groove base radius, it is characterized in that comprising Modling model, model configuration, setting up rule, process control steps, specifically comprise:
A, Modling model: set up hot rolled ribbed bars rolling groove base circle diameter (BCD) D
xmodel:
D
x=[D–nΔ]×η，
Wherein: n=0 ~ 0.1,
D-cold conditions nominal diameter,
Δ-cold conditions nominal diameter deviation,
η-thermal coefficient of expansion,
The basic circle parameter typing of dimension product is saved to database;
B, model configure: multi collect current rolling batch products technological parameter η, R
xwith product performance data D, Δ, d, δ, functional relation both setting up according to statistical probability:
f(d,δ)=g(R
x)
Wherein: d-finished diameter
δ-be product weight deviation
R
x-rolling groove base radius
By above-mentioned R
x, D, Δ, η, d and δ be saved to database;
C, foundation rule: continue to gather rolling technological parameter and product performance data, if described acquisition parameter is corresponding with the functional relation of model configuration step with data, then be defined as " hit " once and count, when " hit " number of times is greater than set point number, the functional relation of model configuration step is defined as " rule " functional relation and is saved to database;
D, process control: when the Ribbed Bar product of " rule " is set up in rolling again, gather current rolling parameter and corresponding " rule " functional relation computing that input is preserved is compared, export unreasonable parameters more afterwards and point out and/or control corresponding rolling parameter and change to and meet " rule " functional relation.
2. control method for rolling according to claim 1, is characterized in that in described Modling model step, when rolling groove spread angle alpha is 30 °, and rolling groove base circle diameter (BCD) R
xmodel:
R
x=[D–nΔ]×η/2，n=0~0.1。
3. control method for rolling according to claim 1, it is characterized in that describedly setting up in rule step, when the product actual weight gathered and standard weights exceed the deviation δ of setting value, if inquire the data group similar with this in a database, then think deviation δ and R
xcoefficient exists corresponding, is defined as " hit " and Auto-counting; When " hit " number of times is greater than set point number, by deviation δ and R
xfunctional relation be extracted as " rule " functional relation and be saved to database.
4. control method for rolling according to claim 1, it is characterized in that described set up rule step before also comprise model configuration step again: when product specification, weight information change or are abnormal, the corresponding basic circle parameter of typing in Modling model step again.
5. control method for rolling according to claim 1, also comprises establishment model step before it is characterized in that described process control steps: in process of production, when " rule " market demand number of times is greater than set point number, by deviation δ and R
xfunctional relation be defined as " pattern " functional relation and be saved to database.
6. control method for rolling according to claim 5, is characterized in that in described process control steps, when the Ribbed Bar product of " pattern " is set up in rolling again, and input rolling groove base circle diameter (BCD) R
xto corresponding " pattern " functional relation of preserving, export corresponding cold conditions nominal diameter D, deviation delta, thermal coefficient of expansion η and spread angle alpha and/or control milling train and automatically select corresponding technological parameter.
7. control method for rolling according to claim 5, is characterized in that the described set point number set up in rule step and/or establishment model step is manually arrange or be fixed as 10 times.
8. control method for rolling according to claim 5, it is characterized in that described to set up acquisition parameter in rule step corresponding with the functional relation of model configuration step with data be that the parameter that gathers and data input in the functional relation of model configuration step, the left and right numerical difference of described functional relation is less than setting value.
9. control method for rolling according to claim 1, it is characterized in that in described model configuration step, during the Ribbed Bar product of the built vertical functional relation of follow-up continuation rolling, continue or stop respective function relation that having set up according to statistical probability correction according to setting.
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| CN110404961A (en) * | 2019-07-24 | 2019-11-05 | 四川易尚天交实业有限公司 | A kind of intelligent precise milling train producing bar |
| CN112207129A (en) * | 2020-09-30 | 2021-01-12 | 盐城市联鑫钢铁有限公司 | Detection control method for out-of-roundness of base circle of hot-rolled ribbed steel bar |
| CN115310237B (en) * | 2022-09-30 | 2022-12-09 | 北京科技大学 | Automatic profile steel hole type parameterization method based on graphic file |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102172630A (en) * | 2011-03-03 | 2011-09-07 | 攀钢集团钢铁钒钛股份有限公司 | Roll groove design method for seamless steel pipe stretch reducing machine set |
| CN102591286A (en) * | 2012-02-20 | 2012-07-18 | 宝山钢铁股份有限公司 | Online rolling plan dynamic pre-analysis and self-adjustment system and method |
| CN103447303A (en) * | 2013-08-20 | 2013-12-18 | 莱芜钢铁集团有限公司 | Finished hole pattern for hot rolled round steel |
| CN103817153A (en) * | 2014-02-20 | 2014-05-28 | 武钢集团昆明钢铁股份有限公司 | Iron and steel enterprise bar rolling roller management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007009946A1 (en) * | 2006-03-30 | 2007-10-18 | Sms Meer Gmbh | Method for quality assurance when rolling a round profile |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102172630A (en) * | 2011-03-03 | 2011-09-07 | 攀钢集团钢铁钒钛股份有限公司 | Roll groove design method for seamless steel pipe stretch reducing machine set |
| CN102591286A (en) * | 2012-02-20 | 2012-07-18 | 宝山钢铁股份有限公司 | Online rolling plan dynamic pre-analysis and self-adjustment system and method |
| CN103447303A (en) * | 2013-08-20 | 2013-12-18 | 莱芜钢铁集团有限公司 | Finished hole pattern for hot rolled round steel |
| CN103817153A (en) * | 2014-02-20 | 2014-05-28 | 武钢集团昆明钢铁股份有限公司 | Iron and steel enterprise bar rolling roller management system and method |
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