CN116020885A - Prediction method for hot continuous rolling finish rolling force of composite plate - Google Patents
Prediction method for hot continuous rolling finish rolling force of composite plate Download PDFInfo
- Publication number
- CN116020885A CN116020885A CN202111249622.4A CN202111249622A CN116020885A CN 116020885 A CN116020885 A CN 116020885A CN 202111249622 A CN202111249622 A CN 202111249622A CN 116020885 A CN116020885 A CN 116020885A
- Authority
- CN
- China
- Prior art keywords
- rolling force
- composite
- frame
- hot continuous
- composite plate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 125
- 239000002131 composite material Substances 0.000 title claims abstract description 122
- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000000463 material Substances 0.000 claims abstract description 94
- 239000000203 mixture Substances 0.000 claims abstract description 10
- 239000000126 substance Substances 0.000 claims abstract description 6
- 238000012937 correction Methods 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 16
- 230000009467 reduction Effects 0.000 claims description 8
- 229910052729 chemical element Inorganic materials 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 239000010410 layer Substances 0.000 description 40
- 238000004519 manufacturing process Methods 0.000 description 8
- 239000013072 incoming material Substances 0.000 description 7
- 229910000831 Steel Inorganic materials 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 3
- 239000000835 fiber Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004886 process control Methods 0.000 description 3
- 239000011651 chromium Substances 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 239000000498 cooling water Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004108 freeze drying Methods 0.000 description 2
- 238000005098 hot rolling Methods 0.000 description 2
- 239000011572 manganese Substances 0.000 description 2
- 239000010955 niobium Substances 0.000 description 2
- 238000007639 printing Methods 0.000 description 2
- 238000010079 rubber tapping Methods 0.000 description 2
- 210000001519 tissue Anatomy 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 1
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 description 1
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- AZWAMUCFUOXRIJ-UHFFFAOYSA-N [Mo+4].[V+5] Chemical compound [Mo+4].[V+5] AZWAMUCFUOXRIJ-UHFFFAOYSA-N 0.000 description 1
- 238000010923 batch production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229920001222 biopolymer Polymers 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 210000000845 cartilage Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 229910052804 chromium Inorganic materials 0.000 description 1
- 238000005253 cladding Methods 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 239000011247 coating layer Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- IUYOGGFTLHZHEG-UHFFFAOYSA-N copper titanium Chemical compound [Ti].[Cu] IUYOGGFTLHZHEG-UHFFFAOYSA-N 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000013277 forecasting method Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 239000000017 hydrogel Substances 0.000 description 1
- 229910052748 manganese Inorganic materials 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005555 metalworking Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910052759 nickel Inorganic materials 0.000 description 1
- 229910052758 niobium Inorganic materials 0.000 description 1
- GUCVJGMIXFAOAE-UHFFFAOYSA-N niobium atom Chemical compound [Nb] GUCVJGMIXFAOAE-UHFFFAOYSA-N 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 239000002904 solvent Substances 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Metal Rolling (AREA)
Abstract
The invention discloses a prediction method of a composite plate hot continuous rolling finish rolling force, which comprises the following steps: a. obtaining conventional data of hot continuous rolling, wherein the conventional data comprise inlet thickness, outlet thickness, roller linear speed, roller radius, material temperature, composite board width and tension set between frames; b. acquiring relevant data of each composite layer material of the composite board, wherein the relevant data comprise weight percentages of chemical components of each composite layer and thickness ratio of each composite layer material; c. calculating the predicted rolling force of each single composite layer material of the composite plate corresponding to each frame; d. and calculating the predicted rolling force of the whole composite plate corresponding to each frame. The method can be suitable for automatic prediction of the rolling force of single material and composite material without manual intervention; when the composition of any layer of material in the composite material changes, the rolling force model can automatically reflect the influence of the rolling force model on the rolling force, so that the rolling force prediction is more accurate, the product quality is improved, and the loss is reduced.
Description
Technical Field
The invention relates to a composite plate continuous rolling technology, in particular to a method for predicting the hot continuous rolling finish rolling force of a composite plate.
Background
The composite board can be widely applied to various fields of energy, environmental protection, transportation, automobiles and the like because of the comprehensive characteristics of various materials. The existing hot rolling process also has batch production capability, but when the hot rolling process needs a lot of manual intervention, particularly when the material composition changes or new varieties are developed, the parameters of the final rolling force prediction model at the core need to be manually determined, and full-automatic prediction cannot be realized. Patent publication No. CN102248372A, CN102553919A, CN103521518A, CN105598167A, CN107661900A relates to a production process of composite board materials, and also relates to parameters related to a composite board in a hot continuous finishing mill, but the setting calculation of finish rolling force is not explicitly described, and a method for automatically calculating the finish rolling force is lacking. Therefore, the process is often repeated for a plurality of times to achieve a certain precision, and the adjustment process is low in efficiency and long in time.
The patent with publication number CN108971236A discloses a rolling force forecasting method for hot continuous rolling composite strip steel, which is characterized by comprising the following steps: s1: the process controller receives the incoming material information and judges the material quality of the current incoming material; s2: if the material of the current incoming material is a single plate, the step S3 is entered; if the material of the current incoming material is a composite board, the step S4 is entered; s3: the process control machine reads the material related genetic coefficient table and assigns a value to the current incoming material according to the read value; then, step S5 is performed; s4: the process control computer calculates the characteristic coefficient of the composite material, completes the setting of the characteristic coefficient of the current material according to the calculated value, and then enters step S5; s5: after finishing calculation and assignment of other related coefficients and finishing calculation of material hardness, the process control machine calculates the rolling force and transmits the calculated rolling force to the basic automation computer. The most important of the method is step S4, namely calculating the characteristic coefficients of the different composite layer materials. In order to determine the coefficient of the composite layer material, the rolling force of each composite layer material under the similar working condition needs to be manually collected, and the characteristic coefficient of each layer material is calculated. And calculating according to the thickness proportion of each layer of the composite board material and the thickness weighting to obtain the characteristic coefficient of the composite material. The method is poor in practicality and popularization because the characteristic coefficient of the material at the most core cannot be automatically calculated.
The patent with publication number CN106693065A discloses a manufacturing method of a gradient tissue engineering scaffold, which is characterized by comprising the steps of adopting a biopolymer material and hydrogel, printing three grids by utilizing a low-temperature deposition 3D printer to form a layered structure, namely a tangential grid corresponding to shallow tangential fibers, a uniform grid corresponding to middle transition fibers and a normal grid corresponding to bottom normal fibers, so as to form a grid scaffold, wherein the grid scaffold has the characteristics of gradually increasing compressive force from shallow to deep and gradually decreasing shearing force from shallow to deep in mechanical strength; and after printing, performing first freeze drying on the grid scaffold, then filling dECM solution into the pores of the formed grid scaffold, performing second freeze drying, and removing solvent components in dECM to obtain the composite gradient tissue engineering scaffold with the microstructure similar to the normal cartilage orientation. Although the patent application material does not directly relate to steel composite materials, a method for adjusting the grid thickness according to the thickness and the strength of different composite layer materials is proposed in the material aiming at the design of the support strength. For the front pressure-bearing composite bracket, through
Wherein E is the mechanical strength desired to be achieved, E1, E2, E3 are the mechanical strength of each layer, a+b+c=1. The method is suitable for the occasion of predicting the integral strength of the composite material under the condition that the strength of each layer of material is known. However, in the field of metal working, when the strength of each layer of material under deformation conditions such as different thickness, different temperature, different rolling speed, etc., cannot be determined, the overall strength of the composite material cannot be predicted by using the technique of this patent.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method for predicting the hot continuous rolling force of a composite plate, which can flexibly adjust the main control function of cooling water between frames according to the production process characteristics of hot rolled products, and can be used as descaling water for controlling the surface quality and cooling water between frames for controlling the finish rolling temperature of strip steel.
The invention discloses a prediction method of a hot continuous rolling finish rolling force of a composite plate, which comprises the following steps:
a. obtaining conventional data of hot continuous rolling, wherein the conventional data comprise inlet thickness, outlet thickness, roller linear speed, roller radius, material temperature, composite board width and tension set between frames;
b. acquiring relevant data of each composite layer material of the composite board, wherein the relevant data comprise weight percentages of chemical components of each composite layer and thickness ratio of each composite layer material;
c. calculating the predicted rolling force of each single composite layer material of the composite plate corresponding to each frame;
d. and calculating the predicted rolling force of the whole composite plate corresponding to each frame.
In the step c, the calculation formula of the predicted rolling force of the single composite layer material is as follows:
wherein:
predicted rolling force for the j-th layer of composite layer material, unit: KN, j=1, N;
w is the width of the composite board, and the unit is: mm;
l d to collapse the contact arc length, units: mm;
K Stand the initial value of the rolling force correction coefficient for the frame is 1.0.
The computational formula of the flattening contact arc length is as follows:
wherein: h is the integral frame inlet thickness of the composite material, and the unit is: mm;
h is the thickness of the integral frame outlet of the composite material, and the unit is: mm;
r' is roll flattening radius, unit: mm.
The calculation formula of the deformation resistance of the material is as follows:
C＝H-h
wherein: k (k) 0 As basic term of deformation resistance, k chem_i ,i＝1～10，b k K=0 to 7 is a model basic parameter of the material composition and the influence of temperature on the rolling force;
Chem i i=1,..10 is the weight percent of each chemical element contained in the material;
gamma is the thickness reduction rate of the frame;
ten entry tension unit for the entrance of the frame, unit: n/mm;
ten exit unit tension for the exit of the frame, unit: n/mm;
r is the radius of the roller, and the unit is: mm;
T K the material temperature is given in units of: the temperature is lower than the temperature;
v roll the roll linear speed is given in units of: m/s;
epsilon is the deformation rate of the frame;
v is the poisson coefficient of the roller;
e is the Young's modulus of the roll.
The calculation formula of the deformation area geometric dimension influence coefficient is as follows:
q 1 (γ)＝cp 1 +cp 2 ·γ
q 2 (γ)＝cp 3 +cp 4 ·γ+cp 5 ·γ 2
wherein: cp (cp) i I=1,..5 is the model coefficient.
In the step d, the calculation formula of the predicted rolling force of the whole composite plate is as follows:
wherein:
predictive rolling force eta for composite plate integrity j J=1,..n is the thickness ratio of each composite layer material, +.>
Also comprises a step e of correcting a rolling force correction coefficient K related to the stand Stand The automatic adjustment is carried out, and the adjustment logic is as follows:
wherein: k is a filter coefficient, the update rate of the correction coefficient is regulated, and the value range of k is 0, 1;
The prediction method of the hot continuous rolling finish rolling force of the composite plate has the following beneficial effects:
1. the rolling force prediction method is suitable for automatic prediction of rolling force of single material and composite material without manual intervention;
2. when the composition of any layer of material in the composite material changes, the rolling force model can automatically reflect the influence of the rolling force model on the rolling force, so that the rolling force prediction is more accurate, the product quality is improved, and the loss is reduced;
3. the model prediction accuracy can be continuously improved through the automatic correction function of the rolling force model, so that the model is automatically adapted to the change of production conditions, and the requirement of high-quality production is met.
Detailed Description
The method for predicting the hot continuous rolling force of the composite plate is further described below.
Firstly, in order to realize full-automatic calculation and correction of the finish rolling force of the composite board material during hot continuous rolling production, the following key problems need to be solved:
1. the thickness distribution proportion of different composite layer materials, chemical components and other data are added into the material data besides the data of the incoming material thickness, the target thickness, the rolling rate of each frame, the material width, the material temperature, the rolling speed and the like required by the conventional calculation of the rolling force.
2. Assuming that each layer of composite board material is produced according to the thickness, rolling reduction, rolling speed, roller size and other data of the composite board overall material, the rolling force prediction model originally applicable to single materials can be utilized to calculate each layer of material one by one, and rolling force prediction data of each layer of material on each frame is obtained. On the basis, the rolling force of the whole composite material is calculated according to the thickness proportion of each composite layer material.
3. And calculating a rolling force correction coefficient according to the data such as the rolling force, the rolling speed, the rolling reduction and the like which are obtained through actual measurement. The method is the same as that when producing the strip steel with single material.
Conventional hot continuous rolling lines produce in block structures, with a single block of material. Conventional systems therefore fail to meet the needs of composite panel production.
Therefore, in order to realize full-automatic calculation of rolling force of composite board materials, the prediction method of hot continuous rolling finishing rolling force of composite board of the invention needs to obtain conventional data such as incoming material thickness, target thickness rolling speed, roller diameter, material temperature, composite board width, set tension between frames (no tension at the inlet of a first frame of a continuous rolling machine, the outlet tension of the first frame being equal to the inlet tension of a second frame, and the like, and the outlet tension of the last frame being equal to zero), and also needs to obtain data related to materials of each composite layer of composite board, including:
the data relating to the composite material of each composite layer of the composite board comprises the weight percentage of each chemical component of each composite layer (CHEM i j I=1,..m, j=1,..m, N, where M is the number of chemical components, N is the total number of layers of the composite), and the thickness ratio η of each composite layer material j ,j＝1,...,N，
Assuming that each layer of composite board material is produced according to the thickness, rolling reduction, rolling speed, roller size and other data of the composite board overall material, the rolling force prediction model originally applicable to single materials can be utilized to calculate each layer of material one by one, and rolling force prediction data of each layer of material on each frame is obtained. On the basis, the rolling force of the whole composite material is calculated according to the thickness proportion of each composite layer material.
Assuming that each layer of composite board material is produced according to the thickness, the rolling reduction, the rolling speed, the roller size and other data of the whole composite board material, when the conventional hot continuous rolling is utilized to produce single material, the prediction rolling force of each composite layer material of the composite board corresponding to each frame is calculated by the finish rolling force prediction model
The method comprises the following steps:
wherein:
predictive rolling force (Single)Bits: KN);
w-composite panel width (unit: mm);
l d flattening the contact arc length (unit: mm);
K Stand -a frame dependent rolling force correction factor, initial value of 1.0.
The flattened contact arc length may be calculated according to equation (2):
wherein: h is the thickness (unit: mm) of the integral frame inlet of the composite material;
h is the thickness (unit: mm) of the outlet of the frame of the composite material;
r' is roll flattening radius (unit: mm).
Since the deformation resistance of a material is related to the temperature, deformation speed and composition of the material, the deformation resistance of the material can be calculated according to formula (3):
the calculation formula of the deformation resistance of the material is as follows:
C＝H-h
wherein: k (k) 0 As basic term of deformation resistance, k chem_i ,i＝1～10，b k K=0 to 7 is a model basic parameter of the material composition and the influence of temperature on the rolling force;
Chem i i=1,..10 is the weight percent of each chemical element contained in the material;
gamma is the thickness reduction rate of the frame;
ten entry tension unit for the entrance of the frame, unit: n/mm;
ten exit unit tension for the exit of the frame, unit: n/mm;
r is the radius of the roller, and the unit is: mm;
T K the material temperature is given in units of: the temperature is lower than the temperature;
v roll the roll linear speed is given in units of: m/s;
epsilon is the deformation rate of the frame;
v is the poisson coefficient of the roller;
e is the Young's modulus of the roll.
The geometric size influence coefficient of the deformation zone
The calculation can be performed according to the formula (4):
q 1 (γ)＝cp 1 +cp 2 ·γ
q 2 (γ)＝cp 3 +cp 4 ·γ+cp 5 ·γ 2
wherein: cp (cp) i I=1,..5 is the model coefficient.
According to the predicted rolling force when producing single material under the above assumption, the whole predicted rolling force of each frame is calculated according to the thickness proportion
Equation (5) of (2) is as follows: />
Wherein: η (eta) j J=1,..n is the thickness ratio of each composite layer material,
in addition, the K can be continuously and automatically adjusted by utilizing the automatic adjustment function of the rolling force correction coefficient Stand The rolling force predicted by the prediction computer is enabled to be continuously approximate to the actually measured rolling force. And setting a rolling force correction coefficient according to the variety specification and the frame, and calculating and updating the correction coefficient by adopting a data filtering algorithm. Let the measured rolling force be
The adjustment logic of the correction coefficient is as follows:
wherein: k is a filter coefficient, the update rate of the correction coefficient is regulated, and the value range of k is 0, 1;
Examples:
the predicted rolling force of the composite board material with the brand BMJ01 is automatically calculated by using the technology, and the method is specifically as follows:
1. the relevant number and tapping mark information are shown in table 1.
Table 1: BMJ01 composite board material information
| Number plate | Tapping mark | Coating and base layer thickness ratio | Finished product application |
| BMJ01(304+Q235B) | GR4143AF | 0.167：0.833 | Die rack plate |
2. The composition-related information of the composite material is shown in table 2.
TABLE 2 composite composition information
3. The thickness, speed, reduction, roll diameter and the like of each stand for finish rolling are shown in tables 3 to 5.
Table 3: size information
| Target thickness (mm) | 4.02 |
| Composite board width (mm) | 1600 |
| Thickness of intermediate blank (mm) | 41 |
Table 4: finish rolling data relating to each frame
Table 5: material composition information Chem
| Material | Carbon (C) | Manganese (Mn) | Silicon (Si) | Nickel (Ni) | Chromium (Cr) | Vanadium (V) | Molybdenum (Mo) | Niobium (Nb) | Titanium | Copper (Cu) |
| Base layer | 0.065 | 0.380 | 0.115 | 0.01 | 0.04 | 0.001 | 0 | 0 | 0.014 | 0.02 |
| Coating layer | 0.03 | 2 | 0.75 | 1.05 | 3.76 | 0 | 0 | 0 | 0 | 0 |
The rolling force of the composite material is automatically predicted by adopting the prediction method of the invention, and the result is shown in table 6:
table 6: rolling force prediction data for composite materials
| Rack number | F1(KN) | F2(KN) | F3(KN) | F4(KN) | F5(KN) | F6(KN) | F7(KN) |
| Composite layer 1 (base layer) | 28533 | 23471 | 21082 | 17397 | 14737 | 11594 | 8721 |
| Composite layer 2 (cladding) | 37896 | 33626 | 30189 | 25973 | 22633 | 18942 | 16082 |
| Composite board whole | 30096 | 25167 | 22603 | 18829 | 16056 | 12821 | 9950 |
| Actually measured rolling force | 31350 | 27008 | 24154 | 18101 | 15692 | 11923 | 9415 |
| Prediction bias (%) | -4.00 | -6.82 | -6.42 | 4.02 | 2.32 | 7.53 | 5.69 |
From the results in Table 6, it is clear that: the predicted rolling force deviation of all the frames is less than 10%, and the production requirements can be completely met.
In summary, the prediction method of the composite plate hot continuous rolling finish rolling force can realize full-automatic prediction and correction of the composite plate hot continuous rolling finish rolling force, realize high-precision prediction of the composite plate hot continuous rolling finish rolling force, meet the expansion requirements of composite plate varieties and specifications, and have wide popularization and application prospects.
However, it will be appreciated by persons skilled in the art that the above embodiments are provided for illustration of the invention and not for limitation thereof, and that changes and modifications to the above described embodiments are intended to fall within the scope of the appended claims as long as they fall within the true spirit of the invention.
Claims (7)
1. A prediction method for the hot continuous rolling finish rolling force of a composite plate is characterized by comprising the following steps: the method comprises the following steps:
a. obtaining conventional data of hot continuous rolling, wherein the conventional data comprise inlet thickness, outlet thickness, roller linear speed, roller radius, material temperature, composite board width and tension set between frames;
b. acquiring relevant data of each composite layer material of the composite board, wherein the relevant data comprise weight percentages of chemical components of each composite layer and thickness ratio of each composite layer material;
c. calculating the predicted rolling force of each single composite layer material of the composite plate corresponding to each frame;
d. and calculating the predicted rolling force of the whole composite plate corresponding to each frame.
2. The method for predicting the hot continuous rolling force of a composite plate according to claim 1, wherein: in the step c, the calculation formula of the predicted rolling force of the single composite layer material is as follows:
wherein:
predicted rolling force for the j-th layer of composite layer material, unit: KN, j=1, N;
w is the width of the composite board, and the unit is: mm;
l d to collapse the contact arc length, units: mm;
K Stand the initial value of the rolling force correction coefficient for the frame is 1.0.
3. The method for predicting the hot continuous rolling force of a composite plate according to claim 2, wherein: the computational formula of the flattening contact arc length is as follows:
wherein: h is the integral frame inlet thickness of the composite material, and the unit is: mm;
h is the thickness of the integral frame outlet of the composite material, and the unit is: mm;
r' is roll flattening radius, unit: mm.
4. A method for predicting hot continuous rolling force of composite plate according to claim 2 or 3, wherein: the calculation formula of the deformation resistance of the material is as follows:
C＝H-h
wherein: k (k) 0 As basic term of deformation resistance, k chem_i ,i＝1～10，b k K=0 to 7 is a model basic parameter of the material composition and the influence of temperature on the rolling force;
Chem i i=1,..10 is the weight percent of each chemical element contained in the material;
gamma is the thickness reduction rate of the frame;
ten entry tension unit for the entrance of the frame, unit: n/mm;
ten exit unit tension for the exit of the frame, unit: n/mm;
r is the radius of the roller, and the unit is: mm;
T K the material temperature is given in units of: the temperature is lower than the temperature;
v roll the roll linear speed is given in units of: m/s;
epsilon is the deformation rate of the frame;
v is the poisson coefficient of the roller;
e is the Young's modulus of the roll.
5. The method for predicting the hot continuous rolling force of the composite plate according to claim 4, wherein: the calculation formula of the deformation area geometric dimension influence coefficient is as follows:
q 1 (γ)＝cp 1 +cp 2 ·γ
q 2 (γ)＝cp 3 +cp 4 ·γ+cp 5 ·γ 2
wherein: cp (cp) i I=1,..5 is the model coefficient.
6. The method for predicting the hot continuous rolling force of a composite plate according to claim 1, wherein: in the step d, the calculation formula of the predicted rolling force of the whole composite plate is as follows:
wherein:
the rolling force is predicted for the whole composite board;
η j j=1,..n is the thickness ratio of each composite layer material,
7. the method for predicting rolling force of hot continuous rolling finish rolling of composite plate as claimed in claim 1, further comprising the step of e correcting coefficient K for rolling force related to frame Stand The automatic adjustment is carried out, and the adjustment logic is as follows:
wherein: k is a filter coefficient, the update rate of the correction coefficient is regulated, and the value range of k is 0, 1;
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111249622.4A CN116020885A (en) | 2021-10-26 | 2021-10-26 | Prediction method for hot continuous rolling finish rolling force of composite plate |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111249622.4A CN116020885A (en) | 2021-10-26 | 2021-10-26 | Prediction method for hot continuous rolling finish rolling force of composite plate |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116020885A true CN116020885A (en) | 2023-04-28 |
Family
ID=86078249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111249622.4A Pending CN116020885A (en) | 2021-10-26 | 2021-10-26 | Prediction method for hot continuous rolling finish rolling force of composite plate |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116020885A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116371941A (en) * | 2023-06-05 | 2023-07-04 | 太原理工大学 | Method and device for predicting rolling force and thickness of each layer of metal composite plate and electronic equipment |
| CN116984393A (en) * | 2023-09-25 | 2023-11-03 | 太原理工大学 | Rolling force and thickness prediction method, device, equipment and medium for each layer |
-
2021
- 2021-10-26 CN CN202111249622.4A patent/CN116020885A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116371941A (en) * | 2023-06-05 | 2023-07-04 | 太原理工大学 | Method and device for predicting rolling force and thickness of each layer of metal composite plate and electronic equipment |
| CN116371941B (en) * | 2023-06-05 | 2023-08-18 | 太原理工大学 | Method and device for predicting rolling force and thickness of each layer of metal composite plate and electronic equipment |
| CN116984393A (en) * | 2023-09-25 | 2023-11-03 | 太原理工大学 | Rolling force and thickness prediction method, device, equipment and medium for each layer |
| CN116984393B (en) * | 2023-09-25 | 2024-01-02 | 太原理工大学 | Rolling force and thickness prediction method, device, equipment and medium for each layer |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116020885A (en) | Prediction method for hot continuous rolling finish rolling force of composite plate | |
| CN103433295B (en) | Single-frame double-coiling aluminium hot-rolling mill convex degree control method | |
| AT414316B (en) | METHOD AND DEVICE FOR CONTROLLING A HÜTTENTECHNISCHEN ANLAGE | |
| CN111842507B (en) | Method for realizing deviation control of center line of plate blank | |
| CN108817103A (en) | A kind of other Classified optimization method of steel rolling model steel group layer | |
| CN107442575A (en) | A kind of Forecasting Methodology of strip wet jetting piles surface roughness | |
| JP6068146B2 (en) | Set value calculation apparatus, set value calculation method, and set value calculation program | |
| CN105363794A (en) | Finish rolling energy-saving control method based on mechanical performance prediction model and rolling energy consumption model | |
| CN103962391A (en) | Rolling load optimization method for hot continuous finishing mill group | |
| CN101477579A (en) | Roll-shaped curve design method of high-strength steel temper mill | |
| CN100391633C (en) | Heat zincplating planisher roll shape curve design method | |
| CN113664047B (en) | Production method for eliminating hot rolling local high points with wide and thick specifications of cold-rolled material | |
| CN108941208B (en) | Coarse rolling width control method for kinds of plate blanks | |
| CN114178314A (en) | Low-alloy high-strength hot-rolled coil Q390C rolling process | |
| CN113434968A (en) | Method for predicting cold rolling deformation resistance based on steel plate chemical components | |
| CN107363101B (en) | Hot-rolled strip steel mathematical model data level judgment method | |
| CN116900051A (en) | Steel turning mode and rolling system optimization setting method for rough rolling process of medium plate | |
| CN107900144A (en) | A kind of elongation percentage composite control method of the online planisher of pickling | |
| RU2655398C2 (en) | Method of rolled products production | |
| JP7298645B2 (en) | Method for generating cross-sectional dimension variation prediction model for shaped steel, apparatus for generating cross-sectional dimension variation prediction model for shaped steel, method for predicting cross-sectional dimension of shaped steel, method for controlling cross-sectional dimension of shaped steel, and method for manufacturing shaped steel | |
| JP2968332B2 (en) | Control method of crown in continuous rolling mill | |
| CN116108932A (en) | Method for establishing fusion model of steel production process data and mechanism | |
| CN111633038B (en) | Hot continuous rolling rough rolling control method and system | |
| CN112139253B (en) | Automatic control method for hot rolling width allowance | |
| KR101050792B1 (en) | Cooling Control Method Using Dynamic Reset |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |