CN105855298B - High-precision boron-containing steel hot-rolling force calculation method - Google Patents
High-precision boron-containing steel hot-rolling force calculation method Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 27
- 239000010959 steel Substances 0.000 title claims abstract description 27
- ZOXJGFHDIHLPTG-UHFFFAOYSA-N Boron Chemical compound [B] ZOXJGFHDIHLPTG-UHFFFAOYSA-N 0.000 title claims abstract description 20
- 229910052796 boron Inorganic materials 0.000 title claims abstract description 20
- 238000005098 hot rolling Methods 0.000 title claims abstract description 11
- 238000004364 calculation method Methods 0.000 title abstract 4
- 238000005096 rolling process Methods 0.000 claims abstract description 35
- 239000000203 mixture Substances 0.000 claims abstract description 15
- 239000000126 substance Substances 0.000 claims abstract description 14
- 238000000205 computational method Methods 0.000 claims description 8
- 229910052799 carbon Inorganic materials 0.000 claims description 7
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical group [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 4
- 241001269238 Data Species 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 239000002436 steel type Substances 0.000 abstract 1
- 238000000034 method Methods 0.000 description 6
- 238000004088 simulation Methods 0.000 description 4
- 238000009785 tube rolling Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 238000012369 In process control Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012669 compression test Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000010965 in-process control Methods 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 239000010731 rolling oil Substances 0.000 description 1
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Abstract
The invention relates to a high-precision boron-containing steel hot rolling force calculation method, which comprises the steps of after different steel types, widths and thicknesses are divided, adding a CoefKm [ iFmStand ] [7] x fCc _ B influence coefficient data item to participate in calculation on the basis of calculating a chemical composition influence coefficient by an original program, and adding a B content influence coefficient CoefB _ N [ i ] [ j ] value to participate in calculation on the basis of calculating deformation resistance to obtain fKm ═ fCoeffCc × fCon × fFun (fCc _ C, T, fEp, fEpV) × { CoefB _ N [ i ] [ j ] }; the invention has the advantages that: the finish rolling thickness precision is effectively improved, and the thickness precision of the boron-containing strip steel in 2013 is improved from 93.2% to 99.0%; the rolling stability is improved, and the yield is greatly improved.
Description
Technical field
The present invention relates to a kind of high-precision boron-containing steel hot-rolling draught pressure computational methods, more particularly to a kind of seven frames hot continuous rolling
The computational methods of belt steel rolling power.
Background technology
Rolling force model is the core of hot continuous rolling mathematical modeling in Process Control System, and resistance of deformation forecasting model is to roll
The main body of power model processed.Therefore, the forecast precision of deformation resistance model, directly determines the forecast of whole hot continuous rolling mathematical modeling
The thickness hit rate of precision and final finished strip.
At present, it is a kind of based on the luxuriant deformation resistance model in the more extensive will field of hot fine rolling rolling force model application
The higher tube rolling simulation formula of simple and practical and ratio of precision, in rolling machinery design, the formulation of rolling procedure and plate shape
Play an important roll in terms of the quality control of thickness of slab.The model is obtained by cylinder compression test, it considers
The process conditions such as various chemical compositions, rolling temperature, mill speed for resistance of deformation influence, but because of experiment method at that time
With the factor such as environment, on to chemical composition and strip width for tube rolling simulation influence or exist, in reality
The calculating deviation of roll-force is more obvious in hot rolling production process.
1580 production line finish rolling second-level models calculating rolling force deviation is smaller before 2012, part steel trade mark finish rolling afterwards
Model calculating rolling force deviation is larger, it has been investigated that with the steel trade mark of the Boron contents more than 0.0003 in slab chemical composition
Gradually increase, the calculating deviation of roll-force increases therewith.Rolling force deviation increase has influence on F1-F7 frames setting roll gap, then
Each rack outlet thickness is had influence on, second flow is mismatched between causing each frame, reduces the rolling stability of rolling line；Strip goes out
Mouth thickness and precision is also decreased.
The content of the invention
To overcome the deficiencies in the prior art, calculated it is an object of the invention to provide a kind of high-precision boron-containing steel hot-rolling draught pressure
Method, improve finish rolling rolling force model computational accuracy, it is to avoid the part steel trade mark calculate the bigger rolling stability caused of deviation and
The risk of thickness and precision reduction.
To achieve the above object, the present invention is achieved through the following technical solutions：
A kind of high-precision boron-containing steel hot-rolling draught pressure computational methods, after not divided by different steel grades, width, thick layer,
Increase CoefKm [iFmStand] [7] × fCc_B influence coefficient datas to participate in calculating, increase on the basis of resistance of deformation is calculated
B content influence coefficient CoefB_N [i] [j] value is participated in calculating, and program formula is calculated as follows：
1) chemical composition influence coefficient is calculated：
When there is no boron element, fCc_B=0, it influences coefficient CoefKm [iFmStand] [7] × fCc_B=0, i.e. shadow
Coefficient CoefKm [iFmStand] [7] × fCc_B is rung to be not involved in calculating：
FCoeffCc=CoefKm [iFmStand] [0] × fCc_C+CoefKm [iFmStand] [1] × fCc_Si
+CoefKm[iFmStand][2]×fCc_Mn+CoefKm[iFmStand][3]×fCc_Mo
+CoefKm[iFmStand][4]×fCc_Nb+CoefKm[iFmStand][5]×fCc_Ti
+CoefKm[iFmStand][6]×fCc_V+CoefKm[iFmStand][7]×fCc_B；
Wherein, fCoeffCc：Chemical composition influences coefficient；CoefKm[iFmStand][i]：Each stand stretch drag is calculated
Parameter, iFmStand [0-6] represents shelf number F1-F7, [i]：0-7 distinguishes different demarcation element；FCc_C, fCc_Si, fCc_
Mn…..fCc_B：C, Si, Mn ... B mass fractions；
2) resistance of deformation is calculated：
FKm=fCoeffCc × fCon × fFun (fCc_C, T, fEp, fEpV) × { CoefB_N [i] [j] }；
Wherein, fKm：Resistance of deformation calculated value；fCon：Computational constant；fFun：Calculate function；CoefB_N[i][j]：
FCc_B mass fractions, which are more than under each frame different content calculated in the case of 0, influences coefficient, as fCc_B=0, CoefB_N
[i] [j]=1；[i]：0-6 represents shelf number F1-F7；[j]：0-5 represents different boron content.
3) roll-force is calculated：
FRf=fKm × fLd × fRfFun × fWid；
Wherein, fRf：Roll-force；fLd：Contact arc length；fRfFun：Roll-force function value；fWid：Strip width.
It is carbon mass fraction, rolling temperature, strain, change that the fFun calculated in resistance of deformation formula, which calculates function,
Shape speed.
Compared with prior art, the beneficial effects of the invention are as follows：
Finish to gauge thickness and precision is effectively improved, is brought up to using this method boracic belt steel thickness precision by 93.2%
99.0%；Rolling stability is improved, yield has obtained larger lifting.
Brief description of the drawings
Fig. 1 is present procedure flow chart.
Embodiment
The present invention is described in detail with reference to Figure of description, it should be noted that the implementation of the present invention is not limited
In following embodiment.
A large amount of same specification production chemical compositions are collected, the different steel trade mark belt steel rolling power of boracic and not boracic are calculated and real
Border data, were therefrom filtered out into steel bar part (close entry temperature at finishing, delivery time；Identical workpiece thickness, width, boron contain
Amount is how many etc.), rolling condition (identical roll material, de-scaling, cooling, hot-rolling oil usage amount and mill speed；Close roller
Footpath, bending roller force it is given) etc. a large amount of close data, linear regression is carried out by the nearly 100,000 tons of strip creation datas of one-year age and obtained
The demand analysis material of program update is arrived, concrete condition is shown in Table 1：Calculating deviation of the chemical composition boron to each frame roll-force
Table.
Table 1：
After data regression, corresponding chemical composition B content influence coefficient CoefB_N [i] [j] is obtained.
A kind of high-precision boron-containing steel hot-rolling draught pressure computational methods, after not divided by different steel grades, width, thick layer,
Increase CoefKm [iFmStand] [7] on chemical composition influence coefficient basis × fCc_B influence coefficient numbers are calculated in original program
Participate in calculating according to item, increase B content influence coefficient CoefB_N [i] [j] value participates in calculating on the basis of resistance of deformation is calculated, journey
Sequence formula is calculated as follows：
(1) chemical composition influence coefficient is calculated, as fCc_B=0, it influences coefficient CoefKm [iFmStand] [7] *
FCc_B=0 (is not involved in calculating).
FCoeffCc=CoefKm [iFmStand] [0] * fCc_C+CoefKm [iFmStand] [1] * fCc_Si
+CoefKm[iFmStand][2]*fCc_Mn+CoefKm[iFmStand][3]*fCc_Mo
+CoefKm[iFmStand][4]*fCc_Nb+CoefKm[iFmStand][5]*fCc_Ti
+CoefKm[iFmStand][6]*fCc_V+CoefKm[iFmStand][7]*fCc_B；
Wherein, fCoeffCc：Chemical composition influences coefficient；CoefKm[iFmStand][i]：Each stand stretch drag is calculated
Parameter；iFmStand：(0-6) represents shelf number (F1-F7)；[i]：0-7 distinguishes different demarcation element；FCc_C, fCc_Si,
fCc_Mn…..fCc_B：C, Si, Mn ... B mass fractions.
(2) resistance of deformation and roll-force are calculated：
FKm=fCoeffCc*fCon*fFun (fCc_C, T, fEp, fEpV) * { CoefB_N [i] [j] }
Wherein, fKm：Resistance of deformation calculated value；fCon：Computational constant；fFun：Calculating function, (carbon mass fraction, rolls
Temperature processed, strain, rate of deformation)；CoefB_N[i][j]：It is more than what is calculated in the case of 0 in fCc_B mass fractions (i.e. B content)
Coefficient is influenceed under each frame different content, as fCc_B=0, CoefB_N [i] [j]=1；[i]：0-6 represents shelf number (F1-
F7)；[j]：0-5 represents different boron content.
(3) roll-force is calculated：
FRf=fKm × fLd × fRfFun × fWid；
Wherein, fRf：Roll-force；fLd：Contact arc length；fRfFun：Roll-force function value；fWid：Strip width.
The computational methods are debugged：
Correspondence steel trade mark calculating roll-force is identical before being not optimised, by taking Boron contents 0.0006%-0.0009% as an example, debugging
The steel trade mark and deviation, are shown in Table 2：Each steel trade mark debugging situation of boracic (0.0006-0.0009%) after improvement.
Table 2：
| Sequence number | Debug the steel trade mark | The correspondence steel trade mark | Tube rolling simulation deviation before improving | Tube rolling simulation deviation after improvement | Debug |
| 1 | SAE10B02 | SAE1002 | |||
| 2 | SAE10B06B | SAE1006 | 6.15% | 2.15% | It is |
| 3 | SAE10B06C | SAE1006 | 6.15% | 2.10% | It is |
| 4 | SPHCB | SPHC | 6.45% | 2.45% | It is |
| 5 | SPHCB200C | SPHC | 6.35% | 2.35% | It is |
| 6 | SPHCB200B | SPHC | 6.35% | 2.35% | It is |
| 7 | SPHCB400C | SPHC | 6.55% | 2.55% | It is |
| 8 | SPHCB400B | SPHC | 6.55% | 2.55% | It is |
| 9 | SPHEB | SPHE | 6.85% | 2.85% | It is |
| 10 | SAE10B08 | SAE1008 | 7.05% | 2.55% | It is |
| 11 | SAE10B08B | SAE1008 | 7.15% | 2.65% | It is |
| 12 | SAE10B08C | SAE1008 | 7.15% | 2.65% | It is |
| 13 | SPHT1B | SPHT1 | 6.95% | 2.45% | It is |
| 14 | SPHT2B | SPHT2 | 7.25% | 2.75% | It is |
| 15 | SAE10B10 | SAE1010 | 7.20% | 2.70% | It is |
| 16 | SAE10B12 | SAE1012 | 7.55% | 2.75% | It is |
| 17 | Q235BB | Q235B | 7.75% | 2.55% | It is |
| 18 | S235JRB | S235JR | 7.80% | 2.90% | It is |
| 19 | Q275BB | Q275B | |||
| 20 | S275JRB | S275JR | 7.95% | 2.45% | It is |
| 21 | SPHT3B | SPHT3 | 7.85% | 2.35% | It is |
| 22 | SAE10B15 | SAE1015 | 8.00% | 2.50% | It is |
| 23 | SAE10B17 | SAE1017 | 8.25% | 2.75% | It is |
| 24 | SS400B | SS400 | 8.05% | 2.55% | It is |
| 25 | A36B | SS400 | 8.10% | 2.60% | It is |
Embodiment：
See Fig. 1, it is known that finish rolling entry condition, the steel trade mark：SPHCB；Carbon equivalent：0.095 (boron content 0.0008%)；It is middle
Base size [mm]：40 × 1270 (thickness × width)；Delivery gauge [mm]：2.75 × 1253 (thickness × width)；Inlet temperature：
1050℃；FDT calculates temperature：880℃；F7 threading speed：10.0m/s；F1-F7 working rolls roll neck [mm]：755,763,770,
682,685,664,675；Finish rolling calculates F1-F7 roll-forces [ton], is shown in Table 3：Finish rolling F1-F7 calculates roll-force.
Table 3
| F1 | F2 | F3 | F4 | F5 | F6 | F7 | |
| Once calculate | 2188.3 | 2053.9 | 1884.2 | 1613.6 | 1329.9 | 1112.3 | 809.50 |
| Secondary calculating | 2155.4 | 2012.8 | 1850.2 | 1605.5 | 1296.6 | 1103.4 | 808.69 |
Calculated using finish rolling model before not improving：
Ibid, finish rolling calculates F1-F7 roll-forces [ton] to known finish rolling entry condition, is shown in Table 4 finish rolling F1-F7 and calculates rolling
Power.
Table 4
| F1 | F2 | F3 | F4 | F5 | F6 | F7 | |
| Once calculate | 2078.9 | 1951.2 | 1790.0 | 1516.8 | 1250.1 | 1034.4 | 752.8 |
| Secondary calculating | 2036.9 | 1902.1 | 1748.4 | 1501.1 | 1212.3 | 1020.6 | 748.0 |
Claims (2)
1. a kind of high-precision boron-containing steel hot-rolling draught pressure computational methods, it is characterised in that pass through different steel grades, width, thick layer
Not Hua Fen after, increase CoefKm [iFmStand] [7] × fCc_B influence coefficient datas participate in calculating, and are calculating resistance of deformation
On the basis of increase B content influence coefficient CoefB_N [i] [j] value participate in calculating, program formula is calculated as follows：
1) chemical composition influence coefficient is calculated：
When there is no boron element, fCc_B=0, it influences coefficient CoefKm [iFmStand] [7] × fCc_B=0, i.e. influence system
Number CoefKm [iFmStand] [7] × fCc_B is not involved in calculating：
FCoeffCc=CoefKm [iFmStand] [0] × fCc_C+CoefKm [iFmStand] [1] × fCc_Si
+CoefKm[iFmStand][2]×fCc_Mn+CoefKm[iFmStand][3]×fCc_Mo
+CoefKm[iFmStand][4]×fCc_Nb+CoefKm[iFmStand][5]×fCc_Ti
+CoefKm[iFmStand][6]×fCc_V+CoefKm[iFmStand][7]×fCc_B；
Wherein, fCoeffCc：Chemical composition influences coefficient；CoefKm[iFmStand][i]：Each stand stretch drag calculates ginseng
Number, iFmStand [0-6] represents shelf number F1-F7, [i]：0-7 distinguishes different demarcation element；FCc_C, fCc_Si, fCc_
Mn…..fCc_B：C, Si, Mn ... B mass fractions；
2) resistance of deformation is calculated：
FKm=fCoeffCc × fCon × fFun (fCc_C, T, fEp, fEpV) × { CoefB_N [i] [j] }；
Wherein, fKm：Resistance of deformation calculated value；fCon：Computational constant；fFun：Calculate function；CoefB_N[i][j]：In fCc_B
Mass fraction, which is more than under each frame different content calculated in the case of 0, influences coefficient, as fCc_B=0, CoefB_N [i] [j]
=1；[i]：0-6 represents shelf number F1-F7；[j]：0-5 represents different boron content；
3) roll-force is calculated：
FRf=fKm × fLd × fRfFun × fWid；
Wherein, fRf：Roll-force；fLd：Contact arc length；fRfFun：Roll-force function value；fWid：Strip width.
2. a kind of high-precision boron-containing steel hot-rolling draught pressure computational methods according to claim 1, it is characterised in that calculate and become
It is carbon mass fraction, rolling temperature, strain, rate of deformation that fFun in shape drag formula, which calculates function,.
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| CN107818184B (en) * | 2016-09-06 | 2021-01-08 | 鞍钢股份有限公司 | Method for constructing material deformation resistance model |
| CN111036693B (en) * | 2019-11-15 | 2022-02-22 | 中冶华天工程技术有限公司 | Rolling force energy checking and calculating method for hot-rolled high-speed wire rod |
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| US5927117A (en) * | 1996-10-11 | 1999-07-27 | Central Iron & Steel Research Institute Ministry Metallurgical Industry | Methods to measure and control strip shape in rolling |
| RU2115494C1 (en) * | 1997-08-14 | 1998-07-20 | Череповецкий государственный университет | Method for control of temperature profile of mill rolls |
| JP2000288614A (en) * | 1999-04-09 | 2000-10-17 | Toshiba Corp | Gage controller for rolling mill |
| CN1814365A (en) * | 2005-02-02 | 2006-08-09 | 宝山钢铁股份有限公司 | Method for improving hot-rolling draught pressure forecast precision utilizing band steel chemical composition data |
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