CN109522677A - A method of for the temperature controlled strip cross section layered method of hot-strip - Google Patents
A method of for the temperature controlled strip cross section layered method of hot-strip Download PDFInfo
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- CN109522677A CN109522677A CN201811588873.3A CN201811588873A CN109522677A CN 109522677 A CN109522677 A CN 109522677A CN 201811588873 A CN201811588873 A CN 201811588873A CN 109522677 A CN109522677 A CN 109522677A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 48
- 239000010959 steel Substances 0.000 claims abstract description 48
- 238000001816 cooling Methods 0.000 claims abstract description 15
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 14
- 238000004088 simulation Methods 0.000 claims abstract description 6
- 230000009466 transformation Effects 0.000 claims description 6
- 229910001566 austenite Inorganic materials 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 238000011160 research Methods 0.000 claims description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims 2
- 229910052742 iron Inorganic materials 0.000 claims 1
- 230000007547 defect Effects 0.000 abstract description 3
- 238000012546 transfer Methods 0.000 description 5
- 238000005096 rolling process Methods 0.000 description 4
- 230000005855 radiation Effects 0.000 description 2
- 238000013517 stratification Methods 0.000 description 2
- 229910000859 α-Fe Inorganic materials 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 239000000498 cooling water Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- General Physics & Mathematics (AREA)
- Control Of Heat Treatment Processes (AREA)
Abstract
The present invention provides a kind of method for the temperature controlled strip cross section layered method of hot-strip, is " back-shaped " section by the temperature layout simulation of strip section, carries out layered method to the section temperature of strip；Runout table is calculated to the temperature value at each moment using finite difference simulator model by water cooling and air-cooled subregion；The temperature of strip n section can be calculated, to calculate surface temperature of the strip in the case where batching pyrometer.Pass through the implementation of belt steel temperature layered method technology, it is effectively reduced and sets data deviation caused by inaccuracy since model temperature calculates, to generate steel scrap and mass defect coil of strip, simultaneously because the accuracy of temperature computation is promoted, cause parameter setting reasonable, strip property is balanced, and every precision index has to be promoted by a relatively large margin.
Description
Technical field
The present invention relates to measuring temperature of hot-rolled strip steel technical fields, in particular to a kind of temperature controlled for hot-strip
The method of strip cross section layered method.
Background technique
For hot-strip, temperature control is the most important thing, and temperature both can determine that properties of product changed, also direct shadow
The stability for ringing the operation of rolling, if temperature computation is inaccurate, it will directly result in model prediction roll gap, roll-force, pressure rule
The inaccuracy of the parameters such as journey, speed.Especially for thin gauge strip, the probability that temperature forecast inaccuracy generates steel scrap is up to
90%.
Original technology is mainly cooling from air when determining belt steel temperature, water is cooling, with roll contact heat transfer, roll
It is excessively general to the calculating of each phase temperature, simple during the rolling process from the aspect of deformation heat processed etc. is several, only by strip table
Face mean temperature ignores the actual influence of strip through-thickness thermal stratification layout, to belt steel temperature meter as control object
It calculates accuracy to be affected, causes model parameter setting unreasonable.
Summary of the invention
In order to solve the problems, such as described in background technique, the present invention provides a kind of horizontal for the temperature controlled strip of hot-strip
The method of section layered method is effectively reduced by the implementation of belt steel temperature layered method technology due to model temperature meter
Data deviation is set caused by not calculating accurately really, so that steel scrap and mass defect coil of strip are generated, simultaneously because temperature computation is accurate
Degree is promoted, and causes parameter setting reasonable, and strip property is balanced, and every precision index has to be promoted by a relatively large margin.
In order to achieve the above object, the present invention is implemented with the following technical solutions:
A method of for the temperature controlled strip cross section layered method of hot-strip, include the following steps:
Step 1: being " back-shaped " section by the temperature layout simulation of strip section, the section temperature of strip is carried out
Layered method；
Step 2: each moment temperature T of strip is calculated by temperature model as described below, the one of thickness direction is only considered
Tie up nonstationary thermal conduction equation are as follows:
Steel plate is thought of as it is symmetrical above and below, using top half or lower half steel plate as research object, boundary condition are as follows:
Primary condition are as follows:
T (x, 0)=T0 (4)
In formula, ρsFor the density of steel plate, c is the specific heat of steel, and λ is the thermal coefficient of steel,For in cooling procedure by austenite
The heat generated when to ferrite transformation, x are thickness direction coordinate, TwFor water temperature, H is the thickness of steel plate, and h is and water convection current
The coefficient of heat transfer, with Multiple factors, such as the speed of steel plate, the surface temperature of steel plate, flow of collector etc. is related；
Step 3: the thickness direction in top half or lower half portion divides n section on " back-shaped " section of steel plate
Point, the then finite difference simulator pushed away by (1) formula are as follows:
In formula:
c1=2 λ Wn/H (6)
Qx=Δ z*L/c (9)
For P+1 layers of each node temperature approximation of difference scheme calculating process,For difference scheme calculating
Each node temperature approximation of P layers of process, W are steel plate width, ViFor the volume of each node, A is single on steel plate length direction
The area of bit length, ε are blackness, σ=5.67 × 10-8w/(m2·K4) it is this fence-Boltzmann constant of making a mistake, T∞For environment temperature
Degree, Δ z are ferritic variable quantity, and L is latent heat treatment amount, QxFor phase transformation heat release；
Step 4: runout table to be calculated to the temperature value at each moment using the model by water cooling and air-cooled subregion；Formula
(8) right side of the equal sign first item is that Newtonian Cooling formula is adapted to water cooling stage, and Section 2 is Stefan-Boltzmann law, is fitted
It should be in the air-cooled stage；The temperature of strip n section can be calculated accordingly, to calculate surface of the strip in the case where batching pyrometer
Temperature.
Compared with prior art, the beneficial effects of the present invention are:
The present invention passes through the implementation of belt steel temperature layered method technology, is effectively reduced and is not allowed since model temperature calculates
Data deviation is set caused by really, so that steel scrap and mass defect coil of strip are generated, simultaneously because the accuracy of temperature computation is promoted,
Cause parameter setting reasonable, strip property is balanced, and every precision index has to be promoted by a relatively large margin.
Detailed description of the invention
Fig. 1 is " back-shaped " cross-section diagram of the temperature layout simulation of strip section.
Specific embodiment
Specific embodiment provided by the invention is described in detail below in conjunction with attached drawing.
Hot-strip temperature control mathematical model is generally made of four parts: preset model, feedforward control model, feedback
Controlling model and adaptive model are mainly concerned with heat radiation, thermal convection, some thermodynamics aspects such as heat transfer and the equations of phase change
Model equation.
As shown in Figure 1, according to rolling big data analysis, inside strip, in particular for thicker strip, if by band
Steel is cut, and it can be one " back-shaped " disconnected by the temperature layout simulation of strip section that there is the characteristics of thermal stratification on section
The temperature in face, each back-shaped layer reaches unanimity, and carries out temperature conduction between layers.
Calculate the heat taken away by various cooling waters during belt steel rolling thus, the heat transfer of strip and roller-way contact and
Energy caused by heat radiation of the strip into air, which saves, to be lost, so that the temperature for calculating strip is well-known thing.However, wanting
The mean temperature that the accurate temperature for calculating strip only calculates strip be it is inadequate, especially for thicker strip, return
Thermal phenomenon especially severe.Thus, layered method is carried out to the section temperature of strip.In each control mould that belt steel temperature calculates
In type, using belt steel temperature laminated computing model, the accuracy that model can be made to calculate belt steel temperature is greatly promoted, then guarantees to set
Determine the accuracy of parameter.
A method of for the temperature controlled strip cross section layered method of hot-strip, include the following steps:
Step 1: being " back-shaped " section by the temperature layout simulation of strip section, the section temperature of strip is carried out
Layered method；
Step 2: each moment temperature T of strip is calculated by temperature model as described below, the one of thickness direction is only considered
Tie up nonstationary thermal conduction equation are as follows:
Steel plate is thought of as it is symmetrical above and below, using top half or lower half steel plate as research object, boundary condition are as follows:
Primary condition are as follows:
T (x, 0)=T0 (4)
In formula, ρsFor the density of steel plate, c is the specific heat of steel, and λ is the thermal coefficient of steel,For in cooling procedure by austenite
The heat generated when to ferrite transformation, x are thickness direction coordinate, TwFor water temperature, H is the thickness of steel plate, and h is and water convection current
The coefficient of heat transfer, with Multiple factors, such as the speed of steel plate, the surface temperature of steel plate, flow of collector etc. is related；
Step 3: the thickness direction in top half or lower half portion divides n section on " back-shaped " section of steel plate
Point, the then finite difference simulator pushed away by (1) formula are as follows:
In formula:
c1=2 λ Wn/H (6)
Qx=Δ z*L/c (9)
For P+1 layers of each node temperature approximation of difference scheme calculating process,For difference scheme calculating
Each node temperature approximation of P layers of process, W are steel plate width, ViFor the volume of each node, A is single on steel plate length direction
The area of bit length, ε are blackness, σ=5.67 × 10-8w/(m2·K4) it is this fence-Boltzmann constant of making a mistake, T∞For environment temperature
Degree, Δ z are ferritic variable quantity, and L is latent heat treatment amount, QxFor phase transformation heat release；
Step 4: runout table to be calculated to the temperature value at each moment using the model by water cooling and air-cooled subregion；Formula
(8) right side of the equal sign first item is that Newtonian Cooling formula is adapted to water cooling stage, and Section 2 is Stefan-Boltzmann law, is fitted
It should be in the air-cooled stage；The temperature of strip n section can be calculated accordingly, to calculate surface of the strip in the case where batching pyrometer
Temperature.
Above embodiments are implemented under the premise of the technical scheme of the present invention, give detailed embodiment and tool
The operating process of body, but protection scope of the present invention is not limited to the above embodiments.Method therefor is such as without spy in above-described embodiment
Not mentionleting alone bright is conventional method.
Claims (1)
1. a kind of method for the temperature controlled strip cross section layered method of hot-strip, which is characterized in that including as follows
Step:
Step 1: being " back-shaped " section by the temperature layout simulation of strip section, the section temperature of strip is layered
It calculates；
Step 2: each moment temperature T of strip is calculated by temperature model as described below, the one-dimensional non-of thickness direction is only considered
Steady heat conduction equation are as follows:
Steel plate is thought of as it is symmetrical above and below, using top half or lower half steel plate as research object, boundary condition are as follows:
Primary condition are as follows:
T (x, 0)=T0 (4)
In formula, ρsFor the density of steel plate, c is the specific heat of steel, and λ is the thermal coefficient of steel,For in cooling procedure from austenite to iron
The heat generated when ferritic phase transformation, x are thickness direction coordinate, TwFor water temperature, H is the thickness of steel plate, and h is the heat exchange with water convection current
Coefficient, with Multiple factors, such as the speed of steel plate, the surface temperature of steel plate, flow of collector etc. is related；
Step 3: the thickness direction in top half or lower half portion divides n node, then on " back-shaped " section of steel plate
The finite difference simulator pushed away by (1) formula is as follows:
In formula:
c1=2 λ Wn/H (6)
Qx=Δ z*L/c (9)
For P+1 layers of each node temperature approximation of difference scheme calculating process,For difference scheme calculating process
P layers of each node temperature approximation, W is steel plate width, ViFor the volume of each node, A is that unit is long on steel plate length direction
The area of degree, ε are blackness, σ=5.67 × 10-8w/(m2·K4) it is this fence-Boltzmann constant of making a mistake, T∞For environment temperature, Δ z
For ferritic variable quantity, L is latent heat treatment amount, QxFor phase transformation heat release；
Step 4: runout table to be calculated to the temperature value at each moment using the model by water cooling and air-cooled subregion；Formula (8) etc.
First item is that Newtonian Cooling formula is adapted to water cooling stage on the right of number, and Section 2 is Stefan-Boltzmann law, is adapted to sky
The cold stage；The temperature of strip n section can be calculated accordingly, to calculate surface temperature of the strip in the case where batching pyrometer.
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| CN201811588873.3A CN109522677A (en) | 2018-12-25 | 2018-12-25 | A method of for the temperature controlled strip cross section layered method of hot-strip |
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| CN201811588873.3A CN109522677A (en) | 2018-12-25 | 2018-12-25 | A method of for the temperature controlled strip cross section layered method of hot-strip |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110852007A (en) * | 2019-10-28 | 2020-02-28 | 北京科技大学 | Bloom rolling temperature field calculation method considering non-uniform deformation heat |
| CN115357070A (en) * | 2022-10-21 | 2022-11-18 | 江苏新恒基特种装备股份有限公司 | Branch pipe heating real-time temperature monitoring feedback method, system and storage medium |
Citations (2)
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|---|---|---|---|---|
| CN103559334A (en) * | 2013-10-15 | 2014-02-05 | 华中科技大学 | Modeling method and system for temperature field in laminar cooling |
| CN207760393U (en) * | 2017-12-28 | 2018-08-24 | 鞍钢集团朝阳钢铁有限公司 | A kind of device reducing hot-strip cooling velocity |
-
2018
- 2018-12-25 CN CN201811588873.3A patent/CN109522677A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559334A (en) * | 2013-10-15 | 2014-02-05 | 华中科技大学 | Modeling method and system for temperature field in laminar cooling |
| CN207760393U (en) * | 2017-12-28 | 2018-08-24 | 鞍钢集团朝阳钢铁有限公司 | A kind of device reducing hot-strip cooling velocity |
Non-Patent Citations (3)
| Title |
|---|
| 付培众等: "基于遗传算法的层流冷却系统优化控制策略", 《控制理论与应用》, vol. 26, no. 8, pages 918 - 922 * |
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| 余万华等: "金属材料成型自动控制基础", 《金属材料成型自动控制基础》, 31 August 2012 (2012-08-31), pages 156 - 159 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110852007A (en) * | 2019-10-28 | 2020-02-28 | 北京科技大学 | Bloom rolling temperature field calculation method considering non-uniform deformation heat |
| CN110852007B (en) * | 2019-10-28 | 2021-05-14 | 北京科技大学 | Bloom rolling temperature field calculation method considering non-uniform deformation heat |
| CN115357070A (en) * | 2022-10-21 | 2022-11-18 | 江苏新恒基特种装备股份有限公司 | Branch pipe heating real-time temperature monitoring feedback method, system and storage medium |
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Application publication date: 20190326 |