CN110674587A - Method for forecasting deviation and breakage of strip steel at inlet of continuous annealing unit - Google Patents
Method for forecasting deviation and breakage of strip steel at inlet of continuous annealing unit Download PDFInfo
- Publication number
- CN110674587A CN110674587A CN201910934118.4A CN201910934118A CN110674587A CN 110674587 A CN110674587 A CN 110674587A CN 201910934118 A CN201910934118 A CN 201910934118A CN 110674587 A CN110674587 A CN 110674587A
- Authority
- CN
- China
- Prior art keywords
- strip steel
- unit
- deviation
- parameters
- roller
- 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.)
- Granted
Links
Images
Landscapes
- Heat Treatment Of Strip Materials And Filament Materials (AREA)
Abstract
The invention discloses a method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit. The method comprises the following steps: acquiring technological parameters of main equipment at an inlet section of a continuous annealing unit; determining a transverse distribution function of the tensile stress in the strip steel according to the process parameters; determining the deviation of the strip steel according to the process parameters; and determining a belt breakage risk result according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation amount of the strip steel. The method or the system can quantitatively calculate the transverse distribution condition of the internal tensile stress of the strip steel and the deviation condition of the strip steel, and further realize the detection and early warning of strip steel scratch and strip steel breakage, thereby ensuring the stable operation and the field safety of a unit.
Description
Technical Field
The invention relates to the technical field of cold rolling, in particular to a method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit.
Background
With the continuous rise and development of the steel industry in China, various steel mills are required to achieve an advanced level in production efficiency while pursuing the quality of strip steel products, and a continuous annealing unit in cold rolling is widely applied to various large steel enterprises in the production of cold-rolled strip steel in China due to the fact that the production process of the continuous annealing unit has the characteristics of short annealing period, small occupied area, uniform product quality, high production efficiency and the like. However, because each coil of strip steel in the continuous annealing unit is welded and then connected together for continuous production, if the operation is not proper or other unit reasons exist, the risk of strip steel tearing or even strip breakage exists, and serious production accidents can be caused in serious cases. Especially in the entrance section of the continuous annealing unit, because the vertical stroke of the strip steel is longer, the change of the torque and speed states of the motors of the roller sets can possibly cause the uneven distribution of the internal tension of the strip steel and the deviation of the strip steel and the scraping of the edge of the strip steel, thereby further causing the occurrence of strip breakage accidents. The continuous annealing inlet consists of a cleaning section and a loop, and the belt breakage accident has the following characteristics: (1) when the cleaning section breaks, secondary strip breakage is often caused, the broken part of the strip steel is not only 1 part, but also fractures are often formed in the cleaning section steering roller, the loop trolley and the loop outlet; (2) when the cleaning section breaks, the strip steel often escapes into the furnace or causes the strip breakage in the furnace, the cover is opened to process the strip steel and the purging is carried out, so that the fault processing time is long.
In a patent of a strip steel deviation alarm device (patent number: CN201610898513.8), the strip steel deviation is alarmed by arranging photoelectric sensors at two sides of the strip steel, so that an operator can timely deal with the strip steel deviation and can not carry out real-time feedback adjustment; the patent 'a control method for preventing strip breakage in the thin strip cold rolling process' (patent number: 201410098802.0) detects the strip widths of the front and the back of a unit in real time through strip width detectors arranged at the inlet and the outlet of the unit, determines the strip width reduction rate, and determines the compensation amount of a plate shape adjusting mechanism of the unit according to the deviation of the strip width reduction rate; the application of the precise detection in the broken strip deviation of the twenty-high roll mill in the document utilizes a laser precise detection technology to detect the verticality and the levelness of an important roll system and a plum blossom hole of an inner housing window of the twenty-high roll mill, combines the actual analysis to find out the fault reason of the broken strip of equipment in the rolling process of the mill, and cannot realize online adjustment. In the patent of cold rolling method for preventing high-silicon strip steel from being broken (patent number: CN201010562032.2), the strip steel is reduced in head and tail breakage by adjusting the strip steel inlet temperature and the emulsion flow rate, so that the rolled piece yield is improved, and the adjustment mode is single. But the tension of the strip steel in operation is not adjusted in real time by adjusting the torque of the motor, so that the reasonable distribution of the internal stress of the strip steel is realized, and the operation stability of the strip steel in the production process is controlled. Therefore, how to develop a set of belt breakage detection method and protection strategy based on motor torque and speed states aiming at the entrance section of the continuous annealing unit and form independent intellectual property rights becomes a key point and a difficult point of urgent need of on-site attack and customs.
Disclosure of Invention
The invention aims to provide a method for forecasting the deviation and breakage of strip steel at the inlet of a continuous annealing unit, which can quantitatively calculate the transverse distribution condition of the internal tensile stress of the strip steel and the deviation condition of the strip steel, and further realize the detection and early warning of strip steel scratch and strip steel breakage, thereby ensuring the stable operation and the field safety of the unit.
In order to achieve the purpose, the invention provides the following scheme:
a method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit comprises the following steps:
acquiring technological parameters of main equipment at an inlet section of a continuous annealing unit;
determining a transverse distribution function of the tensile stress in the strip steel according to the process parameters;
determining the deviation of the strip steel according to the process parameters;
and determining a belt breakage risk result according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation amount of the strip steel.
Optionally, the obtaining of the process parameters of the main equipment at the inlet section of the continuous annealing unit specifically includes:
furnace roller parameters, incoming material parameters, technological process parameters and coordinate technological parameters of main equipment at an inlet section of a continuous annealing unit are obtained;
wherein the furnace roller parameters include: length L of ith unit roller bodyiDistance H between the central lines of the upper and lower furnace rollersiRoller radius RiMounting error in vertical direction ΔciAnd a horizontal sideTo the mounting error deltasi；
The incoming material parameters comprise: strip width B, strip thickness h, and shape beta of the rolled strip0(x) The elastic modulus E and the Poisson ratio v of the strip steel;
the technological process parameters comprise: rated power P of motoriRotational speed niEfficiency eta, roller radius variation amount DeltaRiRunning speed V, speed variation delta V and tension set value Fi；
The coordinate process parameters comprise: actual strip shape beta before strip enters the ith celli-1' (x), upper roller original roller shape curve characteristic coefficient alphaysikOriginal roller profile curve characteristic coefficient alpha of lower rolleryxikDistance x from the center of the roll, the highest power m of the higher order curve and the intermediate variable k.
Optionally, the determining, according to the process parameter, a transverse distribution function of the tensile stress inside the strip steel specifically includes:
according to the incoming material parameters and the coordinate process parameters, calculating the residual stress delta sigma caused by the shape of the ith unit incoming material plateib(x)：
Calculating actual roller profile curves D of the upper roller and the lower roller of the ith unit according to the furnace roller parameters and the coordinate process parametersssi(x)、Dssi(x)：
According to the feeding parameters and the actual roll profile curves of the upper roll and the lower roll of the ith unit, calculating the roll diameter difference delta D of the actual roll profile curves of the upper roll and the lower roll of the ith unit at the contact part with the strip steelssi(x)、ΔDsxi(x)：
According to the roll diameter difference of the actual roll profile curves of the upper and lower rolls of the ith unit at the contact part with the strip steel, the furnace roll parameters and the feeding parameters, calculating the residual stress delta sigma caused by the actual roll profile curve of the ith unitiD(x)：
According to the furnace roller parameters, calculating the difference delta l in the strip steel length caused by the installation error of the ith unit in the vertical direction and the horizontal directionci(x)、Δlsi(x)：
According to the difference in the length of the strip steel caused by the installation error of the ith unit in the vertical direction and the horizontal direction, the feeding parameters and the furnace roller parameters, calculating the residual stress delta sigma caused by the installation error of the ith unit rolleriw(x)：
Residual stress delta sigma caused according to the shape of the ith unit incoming material plateib(x) Residual stress delta sigma caused by the actual roll profile curve of the ith unitiD(x) And residual stress delta sigma caused by mounting error of the ith unit rolleriw(x) Calculating the transverse distribution function delta sigma of the residual stress in the ith unit strip steelgi(x)；
Δσgi(x)＝Δσib(x)+ΔσiD(x)+Δσiw(x)
Calculating the average tensile stress of the ith unit strip steel according to the technological process parameters, the incoming material parameters and the additional tension
Wherein, Δ FTiFor additional tension of the ith cell due to motor torque, Δ FViAdditional tension for the ith cell due to speed conditions;
according to the formula Δ σi(x)＝Δσgi(x) Calculating the theoretical value delta sigma of the residual stress in the ith unit strip steeli(x)；
According to the formula
Solving the transverse distribution function sigma of the tensile stress in the ith unit strip steeli(x)。
Optionally, determining the deviation of the strip steel according to the process parameters specifically includes:
establishing an objective function for solving the deviation of the strip steel according to the moment balance relation;
and determining the deviation of the strip steel according to the objective function solved by the deviation of the strip steel.
Optionally, the determining a belt breakage risk result according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation of the strip steel specifically includes:
giving a strip steel breakage critical judgment index sigma' and a strip steel deviation allowance coefficient alpha;
judging inequality max sigmai(x) If < σ' is true;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, judging the inequality
Whether the result is true or not;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, the ith unit is indicated to normally operate;
wherein, deltaiIs the deviation of the i unit strip steeliThe distance from the two sides of the ith unit strip steel to the inner wall of the equipment, and B is the width of the strip steel.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the invention provides a method for forecasting deviation and breakage of strip steel at the inlet of a continuous annealing unit, which can quantitatively calculate the transverse distribution condition of the internal tensile stress of the strip steel and the deviation condition of the strip steel, and further realize detection and early warning of strip steel scratch and strip steel breakage, thereby ensuring the stable operation and the field safety of the unit.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit;
FIG. 2 is a schematic diagram of a furnace roller pair number division unit according to the present invention;
FIG. 3 is a schematic view of furnace roller parameters of the present invention;
FIG. 4 is a schematic representation of the variation in roll radius during the manufacturing process of the present invention;
FIG. 5 is a schematic diagram of a coordinate system used in the present invention for establishing calculations;
FIG. 6 is a schematic diagram of the deviation of the strip steel of the invention;
FIG. 7 is a flow chart of calculating the deviation of the strip steel according to the invention;
FIG. 8 is a flow chart of the present invention for making an early warning judgment on the strip steel state at the continuous annealing entrance section and outputting an early warning result;
FIG. 9 is a structural diagram of a system for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit;
FIG. 10 is a flow chart of the calculation of the transverse distribution function of the tensile stress in the strip steel.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for forecasting strip steel deviation and strip breakage at an inlet of a continuous annealing unit, which can quantitatively calculate the transverse distribution condition of tensile stress in strip steel and the strip steel deviation condition, and further realize detection and early warning of strip steel scratch and strip steel breakage, thereby ensuring stable operation and on-site safety of the unit.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
FIG. 1 is a flow chart of a method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit. As shown in fig. 1, a method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit comprises the following steps:
step 101: and acquiring technological parameters of main equipment at the inlet section of the continuous annealing unit.
The method specifically comprises the following steps:
furnace roller parameters, incoming material parameters, technological process parameters and coordinate technological parameters of main equipment at an inlet section of a continuous annealing unit are obtained;
collecting main equipment and technological parameters of the inlet section of the continuous annealing unit, dividing the continuous annealing unit into units according to the roller shape, and FIG. 2 is a schematic diagram of dividing the units according to the number of pairs of furnace rollers. The following parameters are included:
furnace roller parameters: length L of ith unit roller bodyiDistance H between the central lines of upper and lower furnace rollersiRadius of roller RiMounting error in the vertical direction DeltaciHorizontal installation error Δsi(ii) a FIG. 3 is a schematic diagram of furnace roller parameters of the present invention. FIG. 4 shows the present invention during the production processRoller radius variation is shown schematically.
Incoming material parameters: strip width B, strip thickness h, acid-rolled incoming strip shape beta0(x) The elastic modulus E of the strip steel and the Poisson ratio v.
The technological process parameters are as follows: rated power P of motoriRotational speed niEfficiency η, roller radius variation Δ RiRunning speed V, speed variation DeltaV, tension set value Fi。
Coordinate process parameters: taking any ith unit, defining the highest power of a high-order curve as m, defining the middle variable as k, and defining the actual plate shape of the strip steel before the strip steel enters the ith unit as betai-1' (x) the characteristic coefficients of the original roll profile curves of the upper and lower rolls are respectively alphaysik、αyxikAnd the center of the ith unit roller is taken as the origin, the working side is taken as the positive side, the transmission side is taken as the negative side, the abscissa axis of the coordinate system is established as the x axis, and the distance from the center of the roller is represented, and fig. 5 is a schematic diagram of the coordinate system used for establishing and calculating the invention.
Step 102: determining a transverse distribution function of the tensile stress in the strip steel according to the process parameters; the method specifically comprises the following steps:
according to the incoming material parameters and the coordinate process parameters, calculating the residual stress delta sigma caused by the shape of the ith unit incoming material plateib(x)：
Calculating actual roller profile curves D of the upper roller and the lower roller of the ith unit according to the furnace roller parameters and the coordinate process parametersssi(x)、Dssi(x)：
According to the feeding parameters and the actual roll profile curves of the upper roll and the lower roll of the ith unit, calculating the roll diameter difference delta D of the actual roll profile curves of the upper roll and the lower roll of the ith unit at the contact part with the strip steelssi(x)、ΔDsxi(x)：
According to the roll diameter difference of the actual roll profile curves of the upper and lower rolls of the ith unit at the contact part with the strip steel, the furnace roll parameters and the feeding parameters, calculating the residual stress delta sigma caused by the actual roll profile curve of the ith unitiD(x)：
According to the furnace roller parameters, calculating the difference delta l in the strip steel length caused by the installation error of the ith unit in the vertical direction and the horizontal directionci(x)、Δlsi(x)：
According to the difference in the length of the strip steel caused by the installation error of the ith unit in the vertical direction and the horizontal direction, the feeding parameters and the furnace roller parameters, calculating the residual stress delta sigma caused by the installation error of the ith unit rolleriw(x)：
Residual stress delta sigma caused according to the shape of the ith unit incoming material plateib(x) Residual stress delta sigma caused by the actual roll profile curve of the ith unitiD(x) And residual stress delta sigma caused by mounting error of the ith unit rolleriw(x) Calculating the transverse distribution function delta sigma of the residual stress in the ith unit strip steelgi(x)；
Δσgi(x)＝Δσib(x)+ΔσiD(x)+Δσiw(x)
According to said processCalculating the average tensile stress of the ith unit strip steel according to the process parameters, the incoming material parameters and the additional tension
Wherein, Δ FTiFor additional tension of the ith cell due to motor torque, Δ FViAdditional tension for the ith cell due to speed conditions;
according to the formula Δ σi(x)＝Δσgi(x) Calculating the theoretical value delta sigma of the residual stress in the ith unit strip steeli(x)；
According to the formula
Solving the transverse distribution function sigma of the tensile stress in the ith unit strip steeli(x)。
FIG. 10 is a flow chart of the calculation of the transverse distribution function of the tensile stress in the strip steel.
Step 103: determining the deviation of the strip steel according to the process parameters, and specifically comprising the following steps:
establishing an objective function for solving the deviation of the strip steel according to the moment balance relation;
and determining the deviation of the strip steel according to the objective function solved by the deviation of the strip steel.
The method comprises the following specific steps of:
1) the purpose of the deviation of the strip steel is to achieve new moment balance, a vertical line passing through the center of a roller is specified as a central line of strip steel moment analysis, and the following relation exists according to the moment balance;
2) the initial value of the deviation is given as
The optimizing step length is delta and the middle calculated value of the deviation is deltai', the deviation amount is calculated as the optimal solutionIntermediate variable j, initial value of objective function F0；
3) According to 1), an objective function F (delta) for solving the deviation of the strip steel is establishedi')；
4) Let j equal 0;
5) order to
6) Will deltai'Innovation 3)' judging | F (δ)i')|＜F0If true, then order
F0＝F(δi') go to step 7); if not, directly switching to the step 7);
7) judgment inequality
If yes, making j equal to j +1, and going to step 5); if not, turning to the step 8);
8) calculating optimal solution delta of output deviationi *；
9) Deviation delta of ith unit strip steeli＝δi *；
FIG. 6 is a schematic diagram of the deviation of the strip steel, and FIG. 7 is a flow chart of the calculation of the deviation of the strip steel.
Step 104: determining a belt breakage risk result according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation amount of the strip steel, and specifically comprising the following steps:
giving a strip steel breakage critical judgment index sigma' and a strip steel deviation allowance coefficient alpha;
judging inequality max sigmai(x) If < σ' is true;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, judging the inequalityWhether the result is true or not;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, the ith unit is indicated to normally operate;
wherein, deltaiIs the deviation of the i unit strip steeliThe distance from the two sides of the ith unit strip steel to the inner wall of the equipment, and B is the width of the strip steel. FIG. 8 is a flow chart of the present invention for making an early warning judgment on the strip steel state at the continuous annealing entrance section and outputting an early warning result.
FIG. 9 is a diagram of a system for forecasting deviation and breakage of strip steel at the inlet of a continuous annealing unit corresponding to the method of the present invention. As shown in fig. 9, a system for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit comprises:
a process parameter obtaining module 201, configured to obtain process parameters of main equipment at an inlet section of the continuous annealing unit.
And the transverse distribution function determining module 202 for determining the transverse distribution function of the internal tensile stress of the strip steel according to the process parameters.
And the strip steel deviation determining module 203 is used for determining the strip steel deviation according to the process parameters.
And the belt breakage risk result determining module 204 is used for determining a belt breakage risk result according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation amount of the strip steel.
The process parameter obtaining module 201 specifically includes:
and the process parameter acquisition unit is used for acquiring furnace roller parameters, incoming material parameters, process parameters and coordinate process parameters of main equipment at the inlet section of the continuous annealing unit.
Wherein the furnace roller parameters include: length L of ith unit roller bodyiDistance H between the central lines of the upper and lower furnace rollersiRoller radius RiMounting error in vertical direction ΔciAnd a horizontal mounting error deltasi。
The incoming material parameters comprise: strip width B, strip thickness h, and shape beta of the rolled strip0(x) The elastic modulus E of the strip steel and the Poisson ratio v.
The technological process parameters comprise: rated power P of motoriRotational speed niEfficiency eta, roller radius variation amount DeltaRiRunning speed V, speed variation delta V and tension set value Fi。
The coordinate process parameters comprise: characteristic parameter a of transverse distribution of strip steel tensile stressikThe actual plate shape beta of the strip steel before the strip steel enters the ith uniti-1' (x), upper roller original roller shape curve characteristic coefficient alphaysikOriginal roller profile curve characteristic coefficient alpha of lower rolleryxikDistance x from the center of the roll, the highest power m of the higher order curve and the intermediate variable k.
The determination module 202 for the transverse distribution function of the internal tensile stress of the strip steel specifically comprises:
a first residual stress calculation unit for calculating the residual stress delta sigma caused by the shape of the incoming material plate of the ith unit according to the incoming material parameter and the coordinate process parameterib(x)：
The actual roller profile curve calculation unit is used for calculating actual roller profile curves D of the upper roller and the lower roller of the ith unit according to the furnace roller parameters and the coordinate process parametersssi(x)、Dssi(x)：
A roller diameter difference calculating unit for calculating the upper and lower rollers of the ith unit according to the feeding parametersThe roll diameter difference Delta D of the actual roll profile curve of the ith unit upper and lower rolls at the contact part with the strip steel is calculatedssi(x)、ΔDsxi(x)：
A second residual stress calculating unit for calculating residual stress delta sigma caused by the actual roll profile curve of the ith unit according to the roll diameter difference of the actual roll profile curves of the upper and lower rolls of the ith unit at the contact part with the strip steel, the furnace roll parameter and the feeding parameteriD(x)：
A strip steel length difference calculating unit for calculating the difference delta l in the strip steel length caused by the installation error of the ith unit in the vertical direction and the horizontal direction according to the furnace roller parametersci(x)、Δlsi(x)：
A third residual stress calculating unit, which is used for calculating the residual stress delta sigma caused by the roller installation error of the ith unit according to the difference of the length of the strip steel caused by the installation error of the ith unit in the vertical direction and the horizontal direction, the feeding parameters and the furnace roller parametersiw(x)：
A determination unit for determining the transverse distribution function of the residual stress in the strip steel, which is used for determining the residual stress delta sigma caused by the shape of the incoming strip of the ith unitib(x) The ith unit actual roll profile curve causesResidual stress Δ σ ofiD(x) And residual stress delta sigma caused by mounting error of the ith unit rolleriw(x) Calculating the transverse distribution function delta sigma of the residual stress in the ith unit strip steelgi(x)；
Δσgi(x)＝Δσib(x)+ΔσiD(x)+Δσiw(x)
The average tensile stress determining unit is used for calculating the average tensile stress of the ith unit strip steel according to the technological process parameters, the feeding parameters and the additional tension
Wherein, Δ FTiFor additional tension of the ith cell due to motor torque, Δ FViAdditional tension for the ith cell due to speed conditions;
a residual stress theoretical value calculating unit for calculating the residual stress according to the formula delta sigmai(x)＝Δσgi(x) Calculating the theoretical value delta sigma of the residual stress in the ith unit strip steeli(x)；
A transverse distribution function solving unit of tensile stress for solving the transverse distribution function according to the formula
Solving the transverse distribution function sigma of the tensile stress in the ith unit strip steeli(x)。
The strip steel deviation amount determining module 203 specifically comprises:
the target function determining unit is used for establishing a target function for solving the deviation of the strip steel according to the moment balance relation;
and the strip steel deviation determining unit is used for determining the strip steel deviation according to the objective function solved by the strip steel deviation.
The belt breakage risk result determining module 204 specifically includes:
the parameter setting unit is used for setting a strip steel breakage critical judgment index sigma' and a strip steel deviation allowance coefficient alpha;
a first judgment unit for judging the inequality max sigmai(x) If < σ' is true;
if the unit is not established, the belt breakage risk exists in the unit i;
a second judgment unit for the number inequality max sigmai(x) If < sigma' is true, the inequality is judged
Whether the result is true or not;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, the ith unit is indicated to normally operate;
wherein, deltaiIs the deviation of the i unit strip steeliThe distance from the two sides of the ith unit strip steel to the inner wall of the equipment, and B is the width of the strip steel.
Example 1:
the application process of the belt breakage early warning method of the continuous annealing inlet based on the moment and speed state of the roller set motor is explained in detail by taking a certain 1420 continuous annealing unit inlet section and a product with the incoming material specification of 0.28 multiplied by 1200 as an example.
Example 1:
A) the method for collecting the main equipment and the technological parameters of the inlet section of the continuous annealing unit specifically comprises the following steps:
A1) collecting 1420 main equipment and technological parameters of the inlet section of the continuous annealing unit, taking the 1 st unit as an example, includes: length L of roller body11420mm distance H between the central lines of upper and lower furnace rollers121000mm, roller radius R1450mm, vertical installation error deltac12mm, installation error delta in horizontal directions11mm, the distance l between the inner walls of the equipment at the two sides of the strip steel1＝1600mm。
A2) Strip width B of 1200mm, strip thickness h of 0.28mm, and shape of the rolled plate
Strip steel elastic modulus E is 2.1105The poisson ratio v is 0.3.
A3) Rated power P of motor180kw, speed n21500R/min, efficiency eta 0.9, and roller radius variation DeltaR15mm, 7m/s running speed, 1m/s speed variation delta V, and tension set value F1＝5kN。
A4) In the 1 st unit, the highest power of the high-order curve is defined as m ═ 6, the intermediate variable is k, and the actual plate shape of the strip steel before entering the 1 st unit is defined as beta0(x) Coefficient of original roll form characteristics alphays1k＝αyx1k＝{2.548，2×10-9，1.597，-2×10-9，-8.042，6×10-103.835 }; a coordinate system is established by taking the center of the 2 nd unit roller as an origin, the working side as the positive side and the transmission side as the negative side, and the abscissa axis is an x axis and represents the distance from the center of the roller.
B) The calculation of the transverse distribution function of the internal tensile stress of the strip steel comprises the following specific steps:
B1) calculating the residual stress delta sigma caused by the shape of the 1 st unit incoming material plate1b(x)：
B2) Calculating the actual roller profile D of the upper and lower rollers of the 1 st unitss1(x)、Dss1(x)：
B3) Calculating the roll diameter difference Delta D of the actual roll profile curves of the upper roll and the lower roll of the 1 st unit at the contact part with the strip steelss1(x)、ΔDsx1(x)：
B4) Calculating the residual stress delta sigma caused by the 1 st unit actual roll profile curve1D(x)：
B5) Calculating the difference delta l in the length of the strip steel caused by the installation error of the 1 st unit in the vertical direction and the horizontal directionc1(x)、Δls1(x)：
B6) Calculating residual stress delta sigma caused by roller mounting error of unit 11w(x)：
Δσ1w(x)＝0.022x
B7) Listing the transverse distribution function delta sigma of the residual stress in the 1 st unit strip steelg1(x)：
B8) Calculating the average tensile stress of the 1 st unit strip steel
In the formula: Δ FT1The additional tension of the 1 st cell due to the motor torque can be calculated by:
ΔFT1＝0.011kN
ΔFV1the additional tension of the 1 st cell due to the velocity regime can be calculated by:
ΔFV1＝1.28kN
B9) calculating the theoretical value delta sigma of the residual stress in the 1 st unit strip steel1(x)：
B10) According to Δ σ1(x)＝Δσg1(x) And solving a transverse distribution function of the internal tensile stress of the 1 st unit strip steel:
C) the method comprises the following steps of analyzing and calculating the deviation of the strip steel:
C1) calculating the deviation delta of the 1 st unit strip steel1The purpose of the deviation of the strip steel is to achieve new moment balance, a perpendicular line passing through the center of a roller is specified as a central line of strip steel moment analysis, and the following relation exists according to a1 st unit of the moment balance:
C2) setting the initial value of the deviation amount to be 600, setting the optimizing step length delta to be 0.1mm, and setting the middle calculation value of the deviation amount delta1', the deviation amount is calculated as the optimal solution
Intermediate variable j, initial value of objective function F0＝1010；
C3) According to C1), an objective function F (delta) for solving the deviation of the strip steel is established1')：
C4) Let j equal 0;
C5) let delta1'＝-600+0.1j
C6) Will delta1' carry-in C3), determine the inequality | F (δ)1')|＝365.25＜F0If true, then orderF0＝F(δ1') go to stepC7)；
C7) Determine inequality delta1'＝-600<600, if true, let j +1 be 1, go to step C5);
C8) calculating optimal solution of output deviation
C9) 1 st unit strip steel deviation
D) And (3) combining the calculation to establish a strip breakage early warning model and obtain an early warning result of the strip steel state, and the method specifically comprises the following steps:
D1) giving a strip steel breakage critical judgment index sigma' of 60MPa and a strip steel deviation allowance coefficient alpha of 0.5;
D2) judging inequality max sigma1(x) Whether 25.28MPa < sigma' is true or not, if yes, the 1 st unit strip steel meets the stress requirement;
D3) judgment inequality
Whether the strip steel is established or not is judged, if so, the strip steel of the unit 1 cannot be scratched;
D4) and (4) outputting the early warning result of the strip steel state of the No. 1 unit of the continuous annealing inlet, wherein the No. 1 unit is safe.
Example 2:
A) the method for collecting the main equipment and the technological parameters of the inlet section of the continuous annealing unit specifically comprises the following steps:
A1) collecting 1420 main equipment and technological parameters of the inlet section of the continuous annealing unit, taking the 2 nd unit as an example, including: length L of roller body21420mm distance H between the central lines of upper and lower furnace rollers221000mm, roller radius R2450mm, vertical installation error deltac23mm, installation error delta in horizontal directions22mm, the distance l between the inner walls of the equipment at the two sides of the strip steel2＝1600mm；
A2) The width B of the strip steel is 1200mm, the thickness h of the strip steel is 0.28mm, and the strip steel is acid-rolledPlate shape
Strip steel elastic modulus E is 2.1 × 105The Poisson ratio v is 0.3;
A3) rated power P of motor280kw, speed n21500R/min, efficiency eta 0.9, and roller radius variation DeltaR16mm, 7m/s running speed, 1m/s speed variation delta V and tension set value F2＝5kN；
A4) In the 2 nd unit, the highest power of the high-order curve is defined as m ═ 6, the intermediate variable is k, and the actual plate shape of the strip steel before entering the 2 nd unit is defined as beta1' (x), original roll shape characteristic coefficient αys2k＝αyx2k＝{3.713，1.1×10-9，3.01，-1×10-9，-3.89，6×10-104.932 }; establishing a coordinate system by taking the center of the 2 nd unit roller as an origin, the working side as a positive side and the transmission side as a negative side, wherein the abscissa axis is an x axis and represents the distance from the center of the roller;
B) the calculation of the transverse distribution function of the internal tensile stress of the strip steel comprises the following specific steps:
B1) calculating the residual stress delta sigma caused by the shape of the 2 nd unit incoming material plate2b(x)：
B2) Calculating the actual roller profile D of the upper and lower rollers of the 2 nd unitss2(x)、Dss2(x)：
B3) Calculating the roll diameter difference Delta D of the actual roll profile curves of the upper roll and the lower roll of the 2 nd unit at the contact part with the strip steelss2(x)、ΔDsx2(x)：
B4) Calculating the residual stress delta sigma caused by the 2 nd unit actual roll profile curve2D(x)：
B5) Calculating the difference delta l in the length of the strip steel caused by the installation error of the 2 nd unit in the vertical direction and the horizontal directionc2(x)、Δls2(x)：
B6) Calculating residual stress delta sigma caused by unit 2 roller installation error2w(x)：
Δσ2w(x)＝0.035x
B7) Listing the transverse distribution function delta sigma of the residual stress in the 2 nd unit strip steelg2(x)；
B8) Calculating the average tensile stress of the 2 nd unit strip steel
In the formula: Δ FT2The additional tension of the 2 nd unit due to the motor torque can be calculated by:
ΔFT2＝0.013kN
ΔFV2the additional tension of the 2 nd unit due to the speed conditions can be calculated by:
ΔFV2＝1.28kN
B9) computingTheoretical value delta sigma of residual stress in 2 nd unit strip steel2(x)；
B10) According to Δ σ2(x)＝Δσg2(x) Solving the transverse distribution function of the tensile stress in the 2 nd unit strip steel
C) The method comprises the following steps of analyzing and calculating the deviation of the strip steel:
C1) calculating the deviation delta of the 2 nd unit strip steel2The purpose of the deviation of the strip steel is to achieve new moment balance, a perpendicular line passing through the center of a roller is specified as a central line of strip steel moment analysis, and the following relation exists according to a moment balance 2 unit:
C2) setting the initial value of the deviation amount to be 600, setting the optimizing step length delta to be 0.1mm, and setting the middle calculation value of the deviation amount deltai', the deviation amount is calculated as the optimal solution
Intermediate variable j, initial value of objective function F0＝1010；
C3) According to C1), an objective function F (delta) for solving the deviation of the strip steel is established2')：
C4) Let j equal 0;
C5) let delta2'＝-600+0.1j
C6) Will delta2' carry-in C3) of the objective function, determine | F (δ)2')|＝789.23＜F0If true, then order
F0＝|F(δi') | 789.23, go to step C7);
C7) determine inequality delta2'＝-600<600, if true, let j +1 be 1, go to step C5);
C8) calculating optimal solution of output deviation
C9) 2 nd unit strip steel deviation
D) And (3) combining the calculation to establish a strip breakage early warning model and obtain an early warning result of the strip steel state, and the method specifically comprises the following steps:
D1) giving a strip steel breakage critical judgment index sigma' of 60MPa and a strip steel deviation allowance coefficient alpha of 0.5;
D2) judging inequality max sigma2(x) Whether 76.43MPa < σ' is true or not, if not, it indicates that there is a risk of belt breakage in the 2 nd unit;
D3) judgment inequality
If the condition is not met, the fact that the strip steel is scratched in the unit 2 is indicated;
D4) and the 2 nd unit strip steel state early warning result of the continuous annealing inlet is output, so that the risks of strip steel scratch and strip breakage exist.
By applying the invention, the power of the motor can be adjusted in real time in production practice to ensure that the strip steel is more stably produced, and the loss can be reduced to the minimum by responding in time when an emergency occurs. After the technology is applied, the frequency of unit strip breakage is obviously reduced, the quality of strip steel is also improved, and huge economic benefits are brought to enterprises.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (5)
1. A method for forecasting deviation and breakage of strip steel at an inlet of a continuous annealing unit is characterized by comprising the following steps:
acquiring technological parameters of main equipment at an inlet section of a continuous annealing unit;
determining a transverse distribution function of the tensile stress in the strip steel according to the process parameters;
determining the deviation of the strip steel according to the process parameters;
and determining a belt breakage risk result according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation amount of the strip steel.
2. The method for forecasting deviation and breakage of strip steel at the inlet of the continuous annealing unit as claimed in claim 1, wherein the acquiring of the technological parameters of the main equipment at the inlet section of the continuous annealing unit specifically comprises:
furnace roller parameters, incoming material parameters, technological process parameters and coordinate technological parameters of main equipment at an inlet section of a continuous annealing unit are obtained;
wherein the furnace roller parameters include: length L of ith unit roller bodyiDistance H between the central lines of the upper and lower furnace rollersiRoller radius RiMounting error in vertical direction ΔciAnd a horizontal mounting error deltasi；
The incoming material parameters comprise: width of strip steelB. Thickness h of strip steel, shape beta of acid-rolled incoming material plate0(x) The elastic modulus E and the Poisson ratio v of the strip steel;
the technological process parameters comprise: rated power P of motoriRotational speed niEfficiency eta, roller radius variation amount DeltaRiRunning speed V, speed variation delta V and tension set value Fi；
The coordinate process parameters comprise: actual strip shape beta before strip enters the ith celli-1' (x), upper roller original roller shape curve characteristic coefficient alphaysikOriginal roller profile curve characteristic coefficient alpha of lower rolleryxikDistance x from the center of the roll, the highest power m of the higher order curve and the intermediate variable k.
3. The method for forecasting deviation and breakage of strip steel at the inlet of the continuous annealing unit as claimed in claim 2, wherein the determining of the transverse distribution function of the internal tensile stress of the strip steel according to the process parameters specifically comprises:
according to the incoming material parameters and the coordinate process parameters, calculating the residual stress delta sigma caused by the shape of the ith unit incoming material plateib(x)：
Calculating actual roller profile curves D of the upper roller and the lower roller of the ith unit according to the furnace roller parameters and the coordinate process parametersssi(x)、Dssi(x)：
According to the feeding parameters and the actual roll profile curves of the upper roll and the lower roll of the ith unit, calculating the roll diameter difference delta D of the actual roll profile curves of the upper roll and the lower roll of the ith unit at the contact part with the strip steelssi(x)、ΔDsxi(x)：
According to the roll diameter difference of the actual roll profile curves of the upper and lower rolls of the ith unit at the contact part with the strip steel, the furnace roll parameters and the feeding parameters, calculating the residual stress delta sigma caused by the actual roll profile curve of the ith unitiD(x)：
According to the furnace roller parameters, calculating the difference delta l in the strip steel length caused by the installation error of the ith unit in the vertical direction and the horizontal directionci(x)、Δlsi(x)：
According to the difference in the length of the strip steel caused by the installation error of the ith unit in the vertical direction and the horizontal direction, the feeding parameters and the furnace roller parameters, calculating the residual stress delta sigma caused by the installation error of the ith unit rolleriw(x)：
Residual stress delta sigma caused according to the shape of the ith unit incoming material plateib(x) Residual stress delta sigma caused by the actual roll profile curve of the ith unitiD(x) And residual stress delta sigma caused by mounting error of the ith unit rolleriw(x) Calculating the transverse distribution function delta sigma of the residual stress in the ith unit strip steelgi(x)；
Δσgi(x)＝Δσib(x)+ΔσiD(x)+Δσiw(x)
Calculating the ith sheet according to the technological process parameters, the incoming material parameters and the additional tensionAverage tensile stress of strip steel
Wherein, Δ FTiFor additional tension of the ith cell due to motor torque, Δ FViAdditional tension for the ith cell due to speed conditions;
according to the formula Δ σi(x)＝Δσgi(x) Calculating the theoretical value delta sigma of the residual stress in the ith unit strip steeli(x)；
According to the formula
Solving the transverse distribution function sigma of the tensile stress in the ith unit strip steeli(x)。
4. The method for forecasting deviation and breakage of strip steel at the inlet of the continuous annealing unit as claimed in claim 2, wherein the determining deviation of the strip steel according to the process parameters specifically comprises:
establishing an objective function for solving the deviation of the strip steel according to the moment balance relation;
and determining the deviation of the strip steel according to the objective function solved by the deviation of the strip steel.
5. The method for forecasting deviation and breakage of strip steel at the inlet of the continuous annealing unit as claimed in claim 3, wherein the method for determining the risk result of the breakage of the strip steel according to the transverse distribution function of the internal tensile stress of the strip steel and the deviation amount of the strip steel specifically comprises the following steps:
giving a strip steel breakage critical judgment index sigma' and a strip steel deviation allowance coefficient alpha;
judging inequality max sigmai(x) If < σ' is true;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, judging the inequality
Whether the result is true or not;
if the unit is not established, the belt breakage risk exists in the unit i;
if yes, the ith unit is indicated to normally operate;
wherein, deltaiIs the deviation of the i unit strip steeliThe distance from the two sides of the ith unit strip steel to the inner wall of the equipment, and B is the width of the strip steel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910934118.4A CN110674587B (en) | 2019-09-29 | 2019-09-29 | Method for forecasting deviation and breakage of strip steel at inlet of continuous annealing unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910934118.4A CN110674587B (en) | 2019-09-29 | 2019-09-29 | Method for forecasting deviation and breakage of strip steel at inlet of continuous annealing unit |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110674587A true CN110674587A (en) | 2020-01-10 |
| CN110674587B CN110674587B (en) | 2021-07-23 |
Family
ID=69080066
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910934118.4A Expired - Fee Related CN110674587B (en) | 2019-09-29 | 2019-09-29 | Method for forecasting deviation and breakage of strip steel at inlet of continuous annealing unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110674587B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111382521A (en) * | 2020-03-17 | 2020-07-07 | 宝钢湛江钢铁有限公司 | Prediction method suitable for strip steel residual stress in continuous annealing unit furnace |
| CN112792142A (en) * | 2020-12-16 | 2021-05-14 | 燕山大学 | Strip deviation identification method based on plate shape detection data |
| CN113443828A (en) * | 2020-03-26 | 2021-09-28 | 住友电气工业株式会社 | Method for manufacturing optical fiber |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107541597A (en) * | 2016-06-29 | 2018-01-05 | 宝山钢铁股份有限公司 | Strip running deviation monitoring and diagnostic method and the system of continuous annealing unit soaking pit |
-
2019
- 2019-09-29 CN CN201910934118.4A patent/CN110674587B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107541597A (en) * | 2016-06-29 | 2018-01-05 | 宝山钢铁股份有限公司 | Strip running deviation monitoring and diagnostic method and the system of continuous annealing unit soaking pit |
Non-Patent Citations (3)
| Title |
|---|
| WANG HAI-YU 等: "Effect od double-taper roller shape on the running deviation of strips in a continuous annealing furnace", 《JOURNAL OF UNIVERSITY OF SCINECE AND TECHNOLOGY BEIJING》 * |
| 白振华 等: "连续过程带钢张力横向缝补模型及其影响因素", 《钢铁》 * |
| 白振华 等: "连续退火过程带钢跑偏模型及其影响因素", 《塑性工程学报》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111382521A (en) * | 2020-03-17 | 2020-07-07 | 宝钢湛江钢铁有限公司 | Prediction method suitable for strip steel residual stress in continuous annealing unit furnace |
| CN111382521B (en) * | 2020-03-17 | 2023-04-18 | 宝钢湛江钢铁有限公司 | Prediction method suitable for strip steel residual stress in continuous annealing unit furnace |
| CN113443828A (en) * | 2020-03-26 | 2021-09-28 | 住友电气工业株式会社 | Method for manufacturing optical fiber |
| CN113443828B (en) * | 2020-03-26 | 2024-02-13 | 住友电气工业株式会社 | Method for manufacturing optical fiber |
| CN112792142A (en) * | 2020-12-16 | 2021-05-14 | 燕山大学 | Strip deviation identification method based on plate shape detection data |
| CN112792142B (en) * | 2020-12-16 | 2021-11-09 | 燕山大学 | Strip deviation identification method based on plate shape detection data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110674587B (en) | 2021-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110674587B (en) | Method for forecasting deviation and breakage of strip steel at inlet of continuous annealing unit | |
| CN102764770B (en) | Rolling device, control method of rolling device and rolling equipment | |
| CN104942019B (en) | A kind of cold rolling of strip steel process Automatic control method of width | |
| RU2008139906A (en) | METHOD AND INSTALLATION FOR INTEGRATED MONITORING AND CONTROL OF THE STRIP OF THE STRIP AND THE STRIP PROFILE | |
| CN103962391B (en) | Rolling load optimization method for hot continuous finishing mill group | |
| CN111570534B (en) | Method for predicting influence of hot rolling characteristics of acid rolling mill group on friction coefficient | |
| EP2671652B1 (en) | Hot strip mill controller | |
| CN102266869B (en) | Roll system parameter setting method for temper mill unit through strip shape and surface quality control | |
| JP5239728B2 (en) | Rolling method and rolling apparatus for metal sheet | |
| JP2002126813A (en) | Method for setting up draft leveling in plate rolling | |
| KR100641755B1 (en) | Control apparatus for width margin in hot strip mill and its method | |
| JP4306273B2 (en) | Strip meander control device and meander control method for tandem rolling mill | |
| CN109877166A (en) | Method suitable for online control of convexity of ultrathin cast-rolled strip steel | |
| JP3255242B2 (en) | Method and apparatus for controlling sheet thickness in calendar | |
| CN113399472A (en) | Fuzzy optimization method for plate shape of five-stand six-roller cold continuous rolling unit | |
| JP2007190579A (en) | Method and equipment for rolling metallic sheet | |
| KR100939377B1 (en) | Method for the meandering control in strip-casting process | |
| CN117983676A (en) | Method for judging and processing edge crack abnormality of thin strip steel of continuous unit | |
| KR101193968B1 (en) | Method and system for maintaining constant elongation in skin-pass rolling mill | |
| WO2024023910A1 (en) | Thickness schedule computing method for tandem rolling mill, and rolling plant | |
| JP2002210513A (en) | Method for preventing camber and wedge in hot rolling | |
| CN115254980A (en) | Method for improving rolling stability of thin high-strength steel | |
| JP4213433B2 (en) | Edge drop control device for rolling mill | |
| KR100523218B1 (en) | Edger gap setting apparatus at hot strip mill and its method | |
| CN113182363A (en) | Force arm coefficient calculation method of single-stand wide and thick plate rolling mill |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210723 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |