CN109261726B - A kind of weld seam print prediction technique - Google Patents
A kind of weld seam print prediction technique Download PDFInfo
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- CN109261726B CN109261726B CN201811113150.8A CN201811113150A CN109261726B CN 109261726 B CN109261726 B CN 109261726B CN 201811113150 A CN201811113150 A CN 201811113150A CN 109261726 B CN109261726 B CN 109261726B
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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
- B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B2267/00—Roll parameters
- B21B2267/10—Roughness of roll surface
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Control Of Metal Rolling (AREA)
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Abstract
The invention discloses a kind of weld seams to print prediction technique, and the method includes calculating roll surface roughness attenuation coefficient；Calculate the attenuation rate that roll crosses weld seam position surface roughness；Calculate gloss level of roll attenuation rate recovery coefficient；Calculate influence coefficient of the roll surface roughness sharp-decay to normal attenuation in smoothing and rolling process；The roll is crossed into weld seam front surface roughness, the roll surface roughness attenuation coefficient, the attenuation rate and the influence coefficient and substitutes into weld seam print length prediction model, prints length using solution by iterative method weld seam.The present invention realizes the prediction of weld seam print length, realizes the improvement to weld seam print defect according to the prediction result that weld seam prints length, and then preferably ensure that the quality of finished product band.
Description
Technical field
The present invention relates to plate and strip rolling technology fields, print prediction technique more particularly to a kind of weld seam.
Background technique
Taggers tin, abbreviation tin plate, is commonly called as tinplate, refers to that two sides is coated with the Low carbon cold rolling steel sheet or steel of pure tin
Band.Tin plate is widely used for the non-food industries and various containers, pressed part of food industry, packaging material.In recent years, with
Most of tin plate downstream user gradually turned to from low and middle-end it is high-end, it is also higher and higher to the quality requirement of tin plating panel products.
And the quality index that surface quality is important as one, the weight in the quality evaluation system of tin plating panel products is also increasingly
Greatly.Previous scene focuses primarily on hot scuffing, scratch etc. for tin plate sheet surface quality problems and results from the normal of cold continuous rolling process
Defect is advised, and then studies the weld seam print defect being formed in continuous annealing formation process less, basic stop qualitative analysis on site
Stage.Weld seam print not only influences the beauty of finished product band, and certain influence can be generated to its processing performance, if weld seam prints
It is more serious, it has to a part to be cut, to guarantee the quality of finished product band, to cause largely to waste.
And predict weld seam print length to instruct the actual production at scene, preferably guarantee the matter of finished product band
Amount, it helps the improvement to weld seam print defect, therefore this field needs a kind of technical solution that can predict weld seam print length.
Summary of the invention
The object of the present invention is to provide a kind of weld seams to print prediction technique, to realize the prediction of weld seam print length, reinforces butt welding
The improvement of seam print defect, and then preferably guarantee the quality of finished product band.
To achieve the above object, the present invention provides a kind of weld seams to print prediction technique, comprising:
Second roll surface roughness after obtaining first roll surface roughness and roll operation first distance, meter
Calculate roll surface roughness attenuation coefficient；
It obtains roll non-weld seam position roughness and roll excessively and crosses weld seam position roughness, calculate roll and cross weld seam position table
The attenuation rate of surface roughness；
Obtain the surface roughness after roll crosses weld seam front surface roughness, roll is crossed after weld seam and weld seam print disappears and
The weld seam of generation prints length, calculates gloss level of roll attenuation rate recovery coefficient；
The attenuation rate and the gloss level of roll attenuation rate restorer of weld seam position surface roughness are crossed according to the roll
Number calculates influence coefficient of the roll surface roughness sharp-decay to normal attenuation in smoothing and rolling process；
By the roll cross weld seam front surface roughness, the roll surface roughness attenuation coefficient, the attenuation rate and
The influence coefficient substitutes into weld seam and prints length prediction model, prints length using solution by iterative method weld seam.
Optionally, the calculating roll surface roughness attenuation coefficient, specifically includes:
Utilize formulaCalculate roll surface roughness attenuation coefficient, wherein Ra0For the first roll
Surface roughness, Ra1For the second roll surface roughness, L1For the first distance,It declines for roll surface roughness
Subtract coefficient.
Optionally, the attenuation rate for calculating roll and crossing weld seam position surface roughness, specifically includes:
Calculate the non-difference crossed weld seam position roughness and cross weld seam position roughness with the roll of the roll；
The difference and the non-ratio for crossing weld seam position roughness of the roll are calculated, determines that the ratio is that roll crosses weldering
Stitch the attenuation rate of portion faces roughness.
Optionally, the calculating gloss level of roll attenuation rate recovery coefficient, specifically includes:
Utilize formulaCalculate gloss level of roll attenuation rate recovery coefficient, wherein Rar0For roll
Cross weld seam front surface roughness, Rar1The surface roughness after weld seam and after weld seam print disappearance, L are crossed for roll2For the weldering generated
Seam print length, η are the attenuation rate that roll crosses weld seam position surface roughness, and k is gloss level of roll attenuation rate recovery coefficient.
Optionally, the calculation formula for influencing coefficient is θ=k η, wherein η is that roll crosses weld seam position surface roughness
Attenuation rate, k be gloss level of roll attenuation rate recovery coefficient, θ be smoothing and rolling process in roll surface roughness sharp-decay
Influence coefficient to normal attenuation.
Optionally, the weld seam print length prediction model isIts
In, LxLength prediction value is printed for weld seam,Visual coefficient, value 0.02 are printed for weld seam, ξ is that formation process belt steel surface is coarse
Heritability is spent,Wherein, h is steel strip thickness, k0
For the strength of materials, ε is reduction ratio, Ras0For smooth preceding belt steel surface roughness, Rar0Weld seam front surface roughness, ψ are crossed for roll
For the duplicating rate of formation process belt steel surface roughness,
Optionally, described to print length using solution by iterative method weld seam, it specifically includes:
Length prediction value L is printed to weld seamxTax initial value is L0；
Weld seam, which is calculated, using weld seam print length prediction model prints length f (Lx)；
Judgement | f (Lx)-Lx| whether < Δ is true, obtains judging result；Wherein, Δ is error range；
When the judging result is to set up, f (L is determinedx) it is that weld seam prints length；
When the judging result is invalid, L is enabledx=f (Lx), weldering is calculated using weld seam print length prediction model
Seam print length, return " judgement | f (Lx)-Lx| whether < Δ is true, obtains judging result " the step of, until the judging result
It sets up, it is determined that weld seam prints length f (L when the judging result is set upx) it is that weld seam prints length.
Optionally, the first roll surface roughness, the second roll surface roughness, the roll are non-crosses weld seam
Position roughness, the roll cross weld seam position roughness, the roll crosses weld seam front surface roughness, the roll crosses weld seam
Afterwards and the surface roughness after weld seam print disappearance and the weld seam print length generated are multi-group data.
Optionally, the acquisition roll non-weld seam position roughness and roll excessively crosses weld seam position roughness, specifically includes:
After the roll crosses weld seam, stop the roll movement immediately；
Measurement roll non-weld seam position roughness and roll excessively cross weld seam position roughness.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: weld seam provided by the invention
Print prediction technique is suitable for the prediction of the weld seam print length of continuous annealing skin pass mill group, the first roll table that the present invention is obtained by detection
Surface roughness, second roll surface roughness, roll non-weld seam position roughness, roll excessively cross weld seam position roughness, roll
Cross weld seam front surface roughness, the weld seam print that roll is crossed the surface roughness after weld seam and after weld seam print disappearance and generated is grown
Degree has calculated separately roll surface roughness attenuation coefficient, that roll crosses the attenuation rate of weld seam position surface roughness, roll is coarse
Influence coefficient of the roll surface roughness sharp-decay to normal attenuation in attenuation rate recovery coefficient and smoothing and rolling process is spent,
And using these parameters as the data for solving weld seam print length prediction model, the prediction of weld seam print length is realized, is site welding
The improvement of seam print has established solid foundation.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is that weld seam provided in an embodiment of the present invention prints prediction technique flow chart.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
In the following, in conjunction with Fig. 1, printing and predicting to weld seam provided by the invention by taking certain 1420 tin plate continuous annealing skin pass mill group as an example
Method is described in detail.Note that specific embodiment described herein is used only for explaining the present invention, it is not used to limit this
Invention.
Embodiment 1:
(1) first roll surface roughness Ra is first measured0It is 0.601, when roll runs first distance L1It is 300 kilometers
Afterwards, then second roll surface roughness Ra is measured1The data measured are substituted into for 0.292It finds outFor
0.0024。
(2) roll is after weld seam, horse back emergency stop, removes roll, and measurement roll is non-to cross weld seam position roughness and roll
Weld seam position roughness is crossed, the non-difference crossed weld seam position roughness and cross weld seam position roughness with roll of roll is calculated；It calculates
The difference and the non-ratio for crossing weld seam position roughness of roll determine that the ratio is that roll crosses declining for weld seam position surface roughness
Lapse rate η, as shown in table 1, average value are about 6%.
1 roll of table crosses weld seam position after crossing weld seam emergency stop and the non-roughness for crossing weld seam position is distributed
(3) it first measures roll and crosses weld seam front surface roughness Rar0It is 0.4585, after weld seam, which prints, to disappear, measures and roll at once
Roller crosses the surface roughness Ra after weld seam and after weld seam print disappearancer1It is 0.4320, and the weld seam print length L generated2For
1.3km substitutes into the numerical value measuredAcquire k=12.5.
(4) attenuation rate of weld seam position surface roughness is crossed according to the roll and the gloss level of roll attenuation rate is restored
Coefficient calculate influence coefficient θ=k η=12.5 of the roll surface roughness sharp-decay to normal attenuation in smoothing and rolling process ×
6%=0.75.
(5) parameter for acquiring above-mentioned steps (1)-(4) substitutes into weld seam print length prediction modelWherein, LxLength prediction value is printed for weld seam, x indicates the number of iterations,
Visual coefficient, value 0.02 are printed for weld seam, ξ is formation process belt steel surface roughness heritability,ξ=0.04, wherein steel strip thickness h is
0.2mm, strength of materials k0It is reduction ratio 1.5, smooth preceding belt steel surface roughness Ra for 600MPa, εs0It is 1.463, roll crosses weldering
Stitch front surface roughness Rar0It is the duplicating rate of formation process belt steel surface roughness for 0.461, ψ,Acquire ψ=0.064, it is noted that adopt when solving ξ and ψ
It is the International System of Units.
(6) length: Schilling is printed with solution by iterative method weld seamTo weldering
Seam print length prediction value LxTax initial value is L0=1.3km acquires f (Lx)=1.334km, compares | f (Lx)-Lx| whether < Δ
It sets up, wherein Δ takes 8m, knows that above formula is invalid, then enables Lx=f (Lx)=1.334km, substitutes into expression above again, obtains f
(Lx)=1.358km, because | 1358-1334 | > 8, then enable Lx=f (Lx)=1.358km, substitutes into expression above again,
Obtain f (Lx)=1.375km, because | 1375-1358 | > 8 enables Lx=f (Lx)=1.357km, substitutes into expression above again,
Obtain f (Lx)=1.388km, because | 1388-1375 | > 8, then enable Lx=f (Lx)=1.388km substitutes into expression above again
Formula obtains f (Lx)=1.397km, because | 1397-1388 | > 8 enables Lx=f (Lx)=1.397km substitutes into table above again
Up to formula, f (L is obtainedx)=1.403km, because | 1403-1397 | < 8, | f (Lx)-Lx| < Δ is set up, and L is exportedx=1.403km, this
Length is exactly weld seam print length.
2 weld seam of table prints length and iterates to calculate table
Embodiment 2:
(1) first roll surface roughness Ra is first measured0It is 0.532, when roll runs first distance L1It is 200 kilometers
Afterwards, then second roll surface roughness Ra is measured1The data measured are substituted into for 0.36It finds outFor
0.0023。
(2) roll is after weld seam, horse back emergency stop, removes roll, and measurement roll is non-to cross weld seam position roughness and roll
Weld seam position roughness is crossed, the non-difference crossed weld seam position roughness and cross weld seam position roughness with roll of roll is calculated；It calculates
The difference and the non-ratio for crossing weld seam position roughness of roll determine that the ratio is that roll crosses declining for weld seam position surface roughness
Lapse rate η, as shown in table 3, average value 6.1%.
3 roll of table crosses weld seam position after crossing weld seam emergency stop and the non-roughness for crossing weld seam position is distributed
(3) it first measures roll and crosses weld seam front surface roughness Rar0It is 0.5436, after weld seam, which prints, to disappear, measures and roll at once
Roller crosses the surface roughness Ra after weld seam and after weld seam print disappearancer1It is 0.5049, and the weld seam print length L generated2For
1.364km substitutes into the numerical value measuredAcquire k=12.13.
(4) attenuation rate of weld seam position surface roughness is crossed according to roll and gloss level of roll attenuation rate recovery coefficient calculates
Influence coefficient θ=k η=12.13 × 6.1%=of the roll surface roughness sharp-decay to normal attenuation in smoothing and rolling process
0.74。
It should be noted that being solved in previous step (1)-(4) in the method for parameter, multi-group data can be surveyed and asked
Solution, so that required parameter is as much as possible to meet institute's measured data, the parameter acquired in this way is more acurrate.
(5) parameter for acquiring above-mentioned steps (1)-(4) face substitutes into weld seam print length prediction modelWherein, LxLength prediction value is printed for weld seam, x indicates the number of iterations,Visual coefficient, value 0.02 are printed for weld seam, ξ is formation process belt steel surface roughness heritability,ξ=0.0313, wherein steel strip thickness h is
0.181mm, strength of materials k0It is reduction ratio 1.3, smooth preceding belt steel surface roughness Ra for 600MPa, εs0It is 1.537, roll mistake
Weld seam front surface roughness Rar0It is the duplicating rate of formation process belt steel surface roughness for 0.478, ψ,Acquire ψ=0.0494, it is noted that when solving ξ and ψ
Using the International System of Units.
(6) length: Schilling is printed with solution by iterative method weld seamIt gives
Weld seam prints length prediction value LxTax initial value is L0=1.3km acquires f (Lx)=1.305km, compares | f (Lx)-Lx| < Δ is
No establishment, wherein Δ takes 8m, knows that above formula is set up, then exports Lx=1.305km, this length are exactly weld seam print length.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (9)
1. a kind of weld seam prints prediction technique characterized by comprising
Second roll surface roughness after obtaining first roll surface roughness and roll operation first distance, calculates roll table
Surface roughness attenuation coefficient；
It obtains roll non-weld seam position roughness and roll excessively and crosses weld seam position roughness, it is thick that calculating roll crosses weld seam position surface
The attenuation rate of rugosity；
Acquisition roll crosses weld seam front surface roughness, roll crosses the surface roughness after weld seam and after weld seam print disappearance and has generated
Weld seam print length, calculate gloss level of roll attenuation rate recovery coefficient；
According to the roll cross weld seam position surface roughness attenuation rate and the gloss level of roll attenuation rate recovery coefficient meter
Calculate influence coefficient of the roll surface roughness sharp-decay to normal attenuation in smoothing and rolling process；
The roll is crossed into weld seam front surface roughness, the roll surface roughness attenuation coefficient, the attenuation rate and described
It influences coefficient and substitutes into weld seam print length prediction model, solution by iterative method weld seam is utilized to print length.
2. weld seam according to claim 1 prints prediction technique, which is characterized in that the calculating roll surface roughness decaying
Coefficient specifically includes:
Utilize formulaCalculate roll surface roughness attenuation coefficient, wherein Ra0For the first roll surface
Roughness, Ra1For the second roll surface roughness, L1For the first distance,Decay for roll surface roughness and is
Number.
3. weld seam according to claim 1 prints prediction technique, which is characterized in that the calculating roll crosses weld seam position surface
The attenuation rate of roughness, specifically includes:
Calculate the non-difference crossed weld seam position roughness and cross weld seam position roughness with the roll of the roll；
The difference and the non-ratio for crossing weld seam position roughness of the roll are calculated, determines that the ratio is that roll crosses welding seam part
The attenuation rate of position surface roughness.
4. weld seam according to claim 1 prints prediction technique, which is characterized in that the calculating gloss level of roll attenuation rate is extensive
Complex coefficient specifically includes:
Utilize formulaCalculate gloss level of roll attenuation rate recovery coefficient, wherein Rar0For roll mistake
Weld seam front surface roughness, Rar1The surface roughness after weld seam and after weld seam print disappearance, L are crossed for roll2For the weld seam generated
Length is printed, η is the attenuation rate that roll crosses weld seam position surface roughness, and k is gloss level of roll attenuation rate recovery coefficient,To roll
Roll surface roughness attenuation coefficient.
5. weld seam according to claim 1 prints prediction technique, which is characterized in that the calculation formula for influencing coefficient is θ
=k η, wherein η is the attenuation rate that roll crosses weld seam position surface roughness, and k is gloss level of roll attenuation rate recovery coefficient, and θ is
Influence coefficient of the roll surface roughness sharp-decay to normal attenuation in smoothing and rolling process.
6. weld seam according to claim 1 prints prediction technique, which is characterized in that the weld seam prints length prediction model and isWherein, LxLength prediction value is printed for weld seam,It is visual for weld seam print
Coefficient, value 0.02, η are the attenuation rate that roll crosses weld seam position surface roughness, and θ is roller surface in smoothing and rolling process
Influence coefficient of the roughness sharp-decay to normal attenuation,For roll surface roughness attenuation coefficient, ξ is formation process band
Steel surface roughness heritability,Wherein, h is band
Steel thickness, k0For the strength of materials, ε is reduction ratio, Ras0For smooth preceding belt steel surface roughness, Rar0Weld seam front surface is crossed for roll
Roughness, ψ are the duplicating rate of formation process belt steel surface roughness,
7. weld seam according to claim 1 prints prediction technique, which is characterized in that described to utilize solution by iterative method weld seam print length
Degree, specifically includes:
Length prediction value L is printed to weld seamxTax initial value is L0；
Weld seam, which is calculated, using weld seam print length prediction model prints length f (Lx)；
Judgement | f (Lx)-Lx| whether < Δ is true, obtains judging result；Wherein, Δ is error range；
When the judging result is to set up, f (L is determinedx) it is that weld seam prints length；
When the judging result is invalid, L is enabledx=f (Lx), weld seam, which is calculated, using weld seam print length prediction model prints
Length, return " judgement | f (Lx)-Lx| whether < Δ is true, obtains judging result " the step of, until the judging result is set up,
Then determine weld seam print length f (the L when judging result is set upx) it is that weld seam prints length.
8. weld seam according to claim 1 prints prediction technique, which is characterized in that the first roll surface roughness, institute
State the non-mistake weld seam position roughness of second roll surface roughness, the roll, the roll crosses weld seam position roughness, described
It surface roughness after roll crosses weld seam front surface roughness, the roll is crossed after weld seam and weld seam print disappears and described has generated
Weld seam print length be multi-group data.
9. weld seam according to claim 1 prints prediction technique, which is characterized in that the non-weld seam position excessively of the acquisition roll is thick
Rugosity and roll cross weld seam position roughness, specifically include:
After the roll crosses weld seam, stop the roll movement immediately；
Measurement roll non-weld seam position roughness and roll excessively cross weld seam position roughness.
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| CN1804739A (en) * | 2005-12-12 | 2006-07-19 | 燕山大学 | Technology for predicting and controlling surface roughness of finished plate for planishing mill |
| CN101927266A (en) * | 2009-06-25 | 2010-12-29 | 宝山钢铁股份有限公司 | Method for controlling rolling mode of pinch pass mill set |
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