JPH048129B2 - - Google Patents

Description

[Detailed description of the invention]

This invention will be explained below, but it should be noted in advance that the mathematical formulas necessary for the explanation are summarized in Table 1 at the end of the text. (Industrial Application Field) This invention relates to the amount of deformation of a partial material (for example, a bar) obtained by cutting when cutting a plate material that has a temperature distribution within the plate surface, such as a hot rolled steel plate. Concerning how to estimate. (Conventional technology and its problems) Strip-cutting steel plates that have not been subjected to any other heat treatment after hot rolling (as-rolled steel plates), or steel plates that have been water-cooled such as direct quenching or accelerated cooling. When manufacturing long steel bars, it is necessary to estimate in advance the amount of lateral bending of the bar after cutting to determine whether it is possible to obtain a product with the amount of lateral bending less than a predetermined amount. It is necessary to judge. Conventionally, such estimation is performed as follows. First, it corresponds to a one-dimensional simplified model obtained based on the assumption that the above-mentioned widthwise temperature distribution is uniform along the longitudinal direction of the steel plate.
Using equation (1) (see Table 1, the same applies hereinafter), the estimated amount of lateral bending ω _i of the bar steel is expressed as a function of ΔT _i .
However, in this equation (1), ω _i : Estimated amount of lateral bending in strip cutting, ω : Strip width, α : Linear expansion coefficient of steel plate, L : Length of steel plate, ΔT _i : i-th bar The average temperature deviation in the width direction is . Then, the estimated amount of lateral bending ω _i expressed by equation (1) is
Based on the condition that the amount of lateral bending is less than the maximum allowable value ω _lin , the maximum allowable value of ΔT _i (maximum allowable temperature deviation)
Determine ΔT _lin in advance. Next, when the rolled sheet 100 from which the steel sheet to be striped is taken from the rolling mill 2 shown in FIG. 8 is conveyed along the rolling line 3 in the direction of arrow A, The surface temperature distribution of the rolled sheet 100 is measured by the scanning radiation thermometer 4 placed above. This measurement result is subjected to image processing in the image processing device 5, and the temperature distribution is displayed on the monitor ITV6. And the operator uses this monitor ITV6
The average temperature deviation in the width direction per strip width ω is observed. Then, it is determined whether this temperature deviation is less than or equal to the above-mentioned maximum allowable value ΔT _lin , and thereby it is predicted whether a product with a lateral bending amount less than the maximum allowable lateral bending amount ω _lin can be obtained. ing. However, this method has the following problems. In the above conventional method, it is assumed that the temperature distribution on the surface of the rolled sheet 100 has no deviation in the longitudinal direction, but in reality, there may be deviations in the longitudinal direction as well. An example of this is shown in FIG. 9a as data obtained from a thermoviewer photograph (for comparison, FIG. 9b shows a case where there is no deviation in the longitudinal direction). As described above, since the in-plane temperature distribution of the rolled sheet 100 also has deviations in the longitudinal direction, the estimation of the amount of lateral bending based on the above-mentioned simple model and visual temperature measurement has low accuracy. Since the above equation (1) is based on the widthwise temperature distribution at one position in the longitudinal direction, the estimated horizontally curved shape is a curved line with a constant curvature. However, if there is a temperature deviation in the longitudinal direction as described above, the actual lateral bending will have a complicated shape. For this reason, there is a problem that variations occur between the estimated value and the actually measured value, and the above equation (1) lacks reliability as an estimation equation. Estimation based on the above equation (1) and determination of whether or not to ship based thereon have conventionally been performed only manually, and require a great deal of labor and time, making them unsuitable for mass production. In addition, even if a long steel bar is manufactured with an amount of lateral bending that exceeds the maximum permissible lateral bending value ω _lin , it will take time to check it as described above, so it will be There is also the problem that defective materials are manufactured continuously. Furthermore, in the strip cutting process, cutting is not always performed at a specific position in a steel plate, but cutting is performed at an arbitrary position as necessary. For this reason, it is desirable to estimate the amount of lateral bending after stripping by taking into account the arbitrariness of the stripping position, but conventionally this point has not been taken into account, and errors often occur in the estimated values. Ta. The above-mentioned problems are not limited to strip cutting of steel plates, but are common when cutting plates with temperature distribution within the plate surface. There is a problem that management is not carried out properly. (Object of the Invention) The present invention is intended to overcome the above-mentioned problems in the prior art, and is intended to overcome the above-mentioned problems in the prior art. A first object of the present invention is to provide a method for estimating the amount of deformation that can accurately estimate the amount of deformation and thereby appropriately manage the judgment of acceptance or rejection of shipment in cutting processing. A second object of the present invention is to be able to accurately estimate the amount of deformation even when cutting is performed at an arbitrary position, and to automate cutting management, thereby improving the quality of the product. An object of the present invention is to provide a method for estimating the amount of deformation that can improve manufacturing efficiency. (Means for Achieving the Object) In order to achieve the above-mentioned object, the present invention measures the plate surface temperature distribution of the plate material two-dimensionally, and cuts out the partial material at a change interval smaller than the size of the partial material. While sequentially changing the predicted position, the amount of deformation described above is calculated for each predicted cutting position using the plate surface temperature distribution data obtained by the above measurement and a predetermined estimation formula that incorporates the residual stress within the plate. is estimated and calculated, and the maximum value of the amount of deformation obtained at each of the predicted cutout positions is used as a value for determining whether the amount of deformation at each of the predicted cutout positions is within the allowable range. (Embodiment) Principle of the Embodiment Before showing the specific configuration and operation of the embodiment of the present invention, the principle (particularly the new estimation formula) will first be explained. A. Definition of various quantities Figure 2 is a diagram defining various quantities necessary for the following explanation. In the figure, a steel plate 1 with a width W ₀ to be subjected to strip cutting is taken from a rolled sheet 100, and a desired one of the side edges S _A and S _B of the rolled sheet 100 (in the figure, S Set a reference point (coordinate origin) O on the plate surface close to _A ). The x-axis is taken along the longitudinal direction of the steel plate 1, and the y-axis is taken along the width direction. Then, the strip cutting to be performed later is performed using the cutting plate R ₁ ,
For each of R ₂ , . . . , the measurement is performed along the x direction for each width ω in the y direction. here,
Cutting R ₁ is the end point of the strip: A ₁ (x ⁽⁰⁾ , y ⁽⁰⁾ ), A ₂ (x ⁽⁰⁾ +L ₁ , y ⁽⁰⁾ ), B ₁ (x ⁽⁰⁾ , y ⁽⁰⁾ , +W ₀ ), B ₂ (x ⁽⁰⁾ +L ₁ , y ⁽⁰⁾ , +W ₀ ), and the same applies to the others. However, when performing this strip cutting, i
The th strip line is indicated by C _i . Taking the cutting plate R ₁ as an example, the adjacent strip lines C _i ,
After strip cutting, the region J _i sandwiched between C _i+1 becomes the i-th bar (“i strip”) for this cutting R ₁ .
The same applies to other bar steels. And each cutting board
The width of R ₁ , R ₂ , ... is W ₀ , and each of these cut plates
N pieces of bar steel are sampled from each of R ₁ , R ₂ ,... However, N is the largest integer that satisfies equation (2). Further, this cutting position is just an example, and according to the present invention, cutting can be performed at various positions. By the way, in this embodiment, two-dimensional temperature measurement is performed every Δx in the x direction and every Δy in the y direction. Therefore, when the y coordinate of the striation line C _i is y _i , and the coordinates of the temperature measurement point P _T0 closest to the origin 0 in the area R ₁ and its adjacent area are expressed by equation (3), Generally, the coordinates of the measurement points P _T distributed two-dimensionally within the plate surface can be written as in equation (4). However, the variation range of m _s and l _s is (5
-1), given by equation (5-2). Here, m ₁ ,
l ₁ is the minimum integer that satisfies formulas (6-1) and (7-1), respectively, and k ₁ and n ₂ are (6-2) and (7-
2) is the largest integer that satisfies each expression, L _i
is abbreviated as L. The temperature measurement point P _T is (x
(m _s ), y(l _s )). By the way, the length of the bar for each cut plate L ₁ , L ₂ ,
... is not necessarily an integral multiple of the distance Δx between the temperature measurement points in the x direction, and even if it is an integral multiple, the phase may be shifted. In this example,
In estimating the amount of lateral bending of each bar (for example, J _i ),
The minimum rectangular area (for example, the shaded area K in FIG. 2) that includes the steel bar and has temperature measurement points arranged on each side is used as the basis for the estimation calculation. Therefore, taking this region K as an example, its length is L^ ₁ = m _a1 Δx (≧
L ₁ , where m _a1 is an integer), and if we look at the x direction, we can see that regions with lengths L^ ₁ , L^ ₂ , L^ ₃ are continuous, partially wrapping one after the other. Become. Adopting the same idea for the y direction,
The temperature measurement interval Δy is n ₁ times (n ₁
is an integer), and let ω^ be the width of the region K. From these facts, this region K has a total of (m _a1
+1)×(n ₁ +1) temperature measuring points exist. The same applies to other areas. B. Estimation formula for continuous temperature measurements A new estimation formula will be formulated based on the above definition. First, temperature is measured at all positions within each cut plate, with x and y as continuous variables. , the case where the in-plane temperature distribution T(x, y) is determined will be formulated. Then, as shown in Figure 2, the temperature is measured at discrete positions and the temperature distribution T(x(m _s ), y
(l _s )) is derived. First, make the following assumptions. (a) The temperature distribution in the thickness direction of the steel plate is uniform. (b) During the horizontal bending deformation process during product cutting and stripping, the cross section in the width direction always maintains a right angle to the neutral plane. (c) Thermal stress generated during strip cutting is not considered. The stress in the steel plate induced in the pre-process of the hot leveler is removed in the hot leveling process, and the residual stress in the steel plate after cooling is due to the temperature distribution in the width direction and the temperature distribution in the longitudinal direction immediately after the hot leveling process is completed. shall occur. Also,
As the residual stress after cooling, only the direct stress in the plate length direction is considered, and the shear stress is ignored. Then, the residual stress in the steel plate σ ₀ (x, y) after the steel plate 1 is acceleratedly cooled and the entire region R ₁ is taken out as a product is
is given by equation (8). However, E is the Young's modulus of the steel plate 1. In addition, a ₀ (x) and b ₀ (x) are determined by the force and moment balance equations [Equations (9) and (10)], and are defined by Equations (11) and (12), respectively. be done. Furthermore, ΔT (x, y) in the above formula (8) is defined by formula (13), with room temperature (temperature of the steel plate after cooling) being T _RT . Next, in Figure 3, which is a simplified version of Figure 2, consider that the position of area K is continuously variable;
Let the coordinates of the lower left end be (p, q). and,
The stress released when this region K is cut into strips is
Assuming that q is a parameter and σ _q (x, y), this can be written as equation (14). Therefore, the area K
Equations (15) and (16), which are the balance equations of force and moment when it is assumed that
By substituting the formula, the radius of curvature ρ _q (x) of the lateral bending displacement in the longitudinal direction of the region K is obtained as the above a _q (x), (17)
By utilizing the relationship in Eq. (18), we can obtain Eq. Here, the relationship between "lateral bending amount" and "lateral bending displacement" will be described. When the edge of the bar steel (for example, S in Fig. 4) is deformed due to strip cutting, (x,
y) The absolute amount of displacement seen from the coordinate system is "lateral bending displacement"
It is called. On the other hand, in actual steel bars, the deformation does not occur from the original cutting position of the plate (D ₀ in Figure 4), but rather the straight line connecting the end points of the bar itself (l in the diagram).
The problem is the displacement D from . Therefore, the latter is called the "lateral bending amount" to distinguish it from the former. Therefore, first, the lateral bending displacement is determined. The lateral bending displacement v _q (x) is given by (19) with respect to the above curvature ρ _q (x).
It is related to the formula. However, the symbol "sgn" is a sign for distinguishing whether ρ _q (x) is positive or negative, and takes either ±1. Therefore, by integrating equation (19), we obtain equation (20),
By substituting equation (18) into this, equation (21) is obtained. At that time, the relationship of equation (22) was used regarding the y-coordinate range of the boundary line of area K. Next, the amount of lateral bending ω _q (x) is determined. As described above, the amount of lateral bending ω _q (x) is the amount of deformation seen from the straight line connecting the end points of the bar. Therefore, as shown in Figure 5, when v _q (x) is drawn with the x coordinate as the horizontal axis, the displacement line (reference line) obtained by connecting the end points P ₁ and P ₂ I _l and v _q (x) for each x
The minimum distance to the point P that indicates this can be defined as the amount of lateral bending ω _q (x) for each x. Note that (x _ns ), etc. in FIG. 5 correspond to the case where side temperature is performed at discrete positions, which will be described later. Therefore, by finding the equation of the straight line I _l and finding the length of the perpendicular leg from the point P to the straight line I _l , we get ω _q (x)
will be obtained, and its expression will be as shown in equation (22). In this equation (22), the maximum value of ω _q (x) when x takes various values and q is also varied is the estimated maximum value of lateral bending amount ω _nax to be found. Therefore, equation (23) can be obtained. However, the symbol: max _(q) […] is the maximum value in the range of 0≦q≦W ₀ −ω^, as shown in equation (24), and the symbol: max _(x) […] respectively indicate the maximum value in the range of p≦x≦p+L^, as shown in equation (26). Among the equations found above, (20), (23), (24)
The equation is the temperature distribution T(x, y) for continuous variables (x, y).
This is the main part of the estimation formula when measuring y). What should be noted here is that by calculating the maximum value in the range of 0≦q≦W ₀ −ω^ as in equation (25) above, the horizontal bending amount for a fixed strip position is In addition to this, it also takes into account the amount of lateral bending when strips are cut at various positions.
In other words, as shown by the arrow B in Fig. 3, the estimated lateral bending amount ω nax is obtained by sequentially changing the expected striation positions and determining the estimated lateral bending amount ω _nax at any position. The estimation is based on the case where the strip is cut at . Regarding this,
This will be explained in more detail after deriving the following discrete approximation formula. C Estimation formula based on discrete temperature measurement Next, approximate formulas for the above estimation formulas (21), (23), and (24) are determined. In general, steel plate surface temperature measurements are discrete, but even if they are carried out at a density so high that they can be considered spatially almost continuous, the steel plate surface temperature distribution T
There is a limit to accurately and specifically determining the functional form of (x, y). Even if the exact temperature distribution T(x,
Even if y) can be found, if its functional form is complex, it is not possible to use equations (21), (22), and (24) directly to find ω _nax , and some approximation method must be introduced. Therefore, we have no choice but to estimate ω _nax . For this reason, using temperature measurement data from discrete temperature measurement points,
It is judged that deriving an approximate expression of equation (21) by interpolating each temperature measurement point function with a polynomial of first degree or higher is extremely useful from a practical standpoint for estimating ω _nax . For this purpose, an approximate formulation using the trapezoidal rule based on a temporary interpolation formula will be described below. First, equation (11) is discretized by the temperature measurement interval Δy in the y-axis direction. Using the trapezoidal approximation law, the result is equation (27). However, y(j) is the y-coordinate of the j-th temperature measurement point in the array of temperature measurement points P _T along the y-axis. In addition, ΔT (x, y ⁽⁰⁾ ) is the temperature measurement point (l ₁ −1) Δy in the y direction at the x position, l ₁ Δy
Using the average value of the temperature measurement data at , it is determined as in equation (28). Furthermore, ΔT (x, y ⁽⁰⁾ + W ₀ ) is similarly defined as in equation (29). Also,
λ _j is given by equation (30), and n ₂ is y (l ₁ ) < y < y
It is the number of temperature measurement points in the section of (l ₁ )+L. By performing similar approximation and using the above equation (27), equation (18) becomes equation (31-1). However, m _i
is the smallest integer that satisfies equation (31-2),
n ₁ ⁽ⁱ⁾ is the largest integer that satisfies equation (31-3), and ΔT (x, y _i ) is the temperature measurement point (m _i −1) in the y direction at the x position Δy, m _i Using the average value at Δy, it is determined as in equation (31-4). ΔT(x, y _i +
ω) is similarly defined as in equation (31-5). μ _j is given as in equation (32). Next, consider the change in curvature of region K. This approximate curvature change expressed by equation (23) can be obtained by integrating 1/ρ _i (x), but in this example, the temperature measurement points are also discrete in the x direction. Therefore, ΔT (x, y(j)) appearing in equation (27) is defined only at discrete points in equation (34). Therefore, when calculating the approximate expression v^ _i (x)' for the first-order differential of the lateral bending displacement, the values of 1/ρ _i (x) at these discrete points, that is, the value of equation (35), are used. There is a need. Therefore, here, it is assumed that the curvature change is linear in the interval between temperature measurements, and interpolation approximation is performed based on this assumption. This approximation can be considered by dividing into the following intervals: x(0)≦x(m ₁ ), x(m _s )≦x≦x(m _s +1), x(m ₂ )≦x≦x ⁽⁰⁾ +L . However, m _s is m ₁ ≦
It is an arbitrary integer that satisfies m _s ≦m ₂ and (m ₂ ≡m ₁ +k ₁ ). x ⁽⁰⁾ ≦x≦(m ₁ ) In this interval, x=x(m ₁ ), x(m ₁
Using the curvature at -1), an approximation formula for the first-order differential of the lateral bending displacement V^ _i (x) is obtained by first-order interpolation approximation.
seek. In this case, x(m ₁ -1) is the temperature measurement point in the x direction outside area K in the rolled sheet 100, but the curvature 1/ρ(x(m ₁ -1)) can be obtained in exactly the same way as above. . That is, v^ _i (x) can be expressed as in equation (36). The curvature in this section is approximated as shown in equation (37). However, A _i,h , B _i,h (h is an integer)
is defined by equations (38) and (39). Therefore, equation (36) becomes equation (40). x (m _s )≦x≦x (m _s +1) In this interval, the integral interval in _Vi (x) is [x ⁽⁰⁾ , x (m ₁ )], [x (m ₁ ), x (m _s )], and [x(m _s , x], and perform approximation based on the trapezoidal rule to obtain equation (41). However, ξ _j is given by equation (42). x (m ₂ )≦x≦x ⁽⁰⁾ +L In this interval, equation (43) can be obtained in the same way.However, x (m ₂ +1) is x outside area K.
Although it is a direction temperature measurement point, 1 _/ ρ(x(m ₂ +
1)) is required. Based on the above results, the lateral bending displacement V^ _i (x) is
It is calculated as follows. In the interval x ⁽⁰⁾ ≦x≦x(m ₁ ), equation (40) is integrated to obtain equation (44). In the section where x(m _s )≦x≦x(m _s +1), the lateral bending displacement V^ _i (x) is expressed by equation (45). Next, by substituting equation (41) into the integrand function V^ _i '(x) of the second term of equation (45) and integrating it, equation (46-1) is obtained. However, V^ _i ′ (m _s ) is (46−2)
It is given by Eq. By performing the same approximation for integrating equation (43) in the interval x(m ₂ )≦x≦x ⁽⁰⁾ +L, equation (47) is obtained. However, V^ _i ′(x _n2 ) is
According to equation (43), it is given by equation (48). Using the above equations (44) and (46-1) to (47), all lateral bending displacements V^ _i (x) within the range of x ⁽⁰⁾ ≦x≦x ⁽⁰⁾ +L have been found. It turns out. Then, according to the same relationship as equation (23), the amount of lateral bending ω^ _i (x) becomes equation (49),
The approximate estimated maximum value of the amount of lateral bending can be found using equation (50). However, ω^ _o is the long steel designation number i in ω^ _i in equation (49) replaced with the temperature measurement designation number n, and is the temperature measurement point y located at the nth position along the y direction.
(n) is adopted as y _i (i=n). In addition, the symbol: max _(o) [...] represents each temperature measurement point y(n): n, as shown in equation (51).
The maximum value in each region (K, K', ... described later) with =1, 2, ..., (n ₂ - n ₁ ) as the end point, and the symbol: max _(ns) [...] is As shown in equation (52), m _s = m ₁ ,..., m ₁ +
Indicates the maximum value in the range of k ₁ . Therefore, by performing such calculations, the area corresponding to the bar can be divided into K, K',
The estimated maximum value of each horizontal bend amount is calculated when the strip is sequentially shifted in the B direction by the pitch Δy as shown in the figure. This is the amount of bending. Therefore, this estimated amount takes into consideration strip cutting at arbitrary positions under discrete temperature measurements. Specific Structure and Operation of the Embodiment FIG. 7 is a conceptual plan view of a long steel manufacturing apparatus having a function of estimating the amount of lateral bending during strip cutting according to the above-mentioned principle. In the same figure, a rolled plate 100 sent from a rolling mill 2 on a rolling line 3 in the direction A in the figure is straightened by a hot leveler HL, and then is heated by a scanning radiant temperature sensor placed above the rolling line 3. A total of 4 points are reached below. At this position, the scanning radiation thermometer 4 measures the surface temperature of the rolled sheet 100 at a position interval of Δy in the y direction by scanning, and further at a position of Δx in the x direction as the rolled sheet 100 advances. By repeating similar measurements at intervals, the surface temperature of the rolled sheet 100 is
Make dimensional measurements. Therefore, as the rolled plate 100 advances in the direction A, the scanning radiation thermometer 4 outputs a temperature measurement output T corresponding to the coordinates of each temperature measurement point, and the image processing device 5 processes the temperature output T. After that, the data is sent to an arithmetic unit 6 that stores and performs arithmetic operations on this data. The coordinates of each temperature measurement point are determined, for example, based on the outputs of the rolling plate detector 9 and the rolling velocity detector 10. Also,
The temperature distribution data is stored in a wrapped file for each cut plate, and then transferred to the calculation process. This arithmetic device 6 calculates the estimated maximum value of lateral bending ω^ _nax by the operation described below. That is, as shown _{in FIG} . _s ), y(j))
Calculate. Next, based on this, ρ^ _o (x(m _s )) for number n indicating each temperature measurement point is (31−
1), and after calculating A _o,ns , B _o,ns, etc. using equations (38) and (39), (44), (46-1), (46-2), (47
)
Find the lateral bending displacement V^ _o (x(m _s )) using the formula.
Then, according to equation (49), the amount of lateral bending ω^ _o (x(m _s ))
Convert to . The above operation is repeated for n in steps of Δy,
If ω^ _o (x(m _s )) is found for various n and x, then
Next, by calculating the equation (50), the maximum value ω^ _nax of the approximation amount of lateral bending is obtained. These are repeated for each cutting board. When ω^ _nax is determined in this way, this value ω^ _nax
is provided to the process computer 7 in FIG. This process computer 7 compares the preset allowable maximum value of lateral bending ω _lin with the above maximum value ω^ _nax , and if ω _lin ≧ω^ _nax , then shipping is instructed, and if ω _lin <ω ^ If it is _nax, it will make a shipping decision such as canceling shipping, and give instructions to the production control computer 8. Furthermore, the process computer 7 gives instructions to processes such as heating, rolling, and cooling of the rolled sheet 100 based on the approximate maximum value of the amount of lateral bending ω^ _nax , thereby making the temperature distribution within the sheet surface more uniform. You can also provide feedback like this. The amount of lateral bending is estimated using the actual bar (J _i in Figure 2).
However, if the distances Δx and Δy between the temperature measurement points are made sufficiently small, this will have almost no effect. Further, by making the above estimation, even if the bar is cut out at an arbitrary position, it is guaranteed that the amount of lateral bending will be equal to or less than the estimated maximum value. Modifications By the way, the present invention is not limited to the above-mentioned embodiment, and for example, the following modifications are also possible. Two-dimensional temperature measurement may be performed using a type of thermometer other than the above-mentioned scanning thermometer, and the arrangement and spacing of measurement points can be changed as appropriate. This invention is applicable not only to the production of long steel, but also to the production of thick steel plates, where a combination of ordered products is rolled on a flat plate, and after rolling, the product is cut on a cutting line to obtain a predetermined product. . In this case, by converting the strip width into the product width, the camber amount can be accurately estimated, and steel products can be manufactured with the product camber controlled. However, it is generally applicable to metal materials other than steel plates, non-metal materials, etc., where the shape after cutting changes depending on the plate surface temperature distribution. In the above embodiment, the estimation calculation is performed online to improve the management response, but the present invention does not exclude the calculation performed offline. However, the effect is significantly improved by going online. In the above embodiment, the cutting positions were sequentially changed in the width direction, but the same process can also be performed in the longitudinal direction. For adjacent temperature measurement points, we aim to speed up calculations and reduce errors by wrapping the strip areas so that the end points of the calculation target area always become temperature measurement points. It may also be possible to prohibit the use of only calculations based on sequential changes in the cutting positions without using the wrap method. (Effects of the Invention) As explained above, according to the present invention, while sequentially changing the predicted cutting position of the partial material, the amount of deformation of the partial material at each predicted cutting position can be measured in a two-dimensional manner. Because it is calculated by estimation using the target board surface distribution data and a predetermined estimation formula, regardless of the form of the temperature distribution on the board surface,

【table】

【table】

【table】

[Table] First, it is possible to accurately estimate the amount of deformation of the above-mentioned component material, and thereby, management such as judgment of acceptance of shipment can be carried out with high precision. Moreover, this makes it possible to accurately predict the amount of deformation during cutting at any position. Furthermore, since such estimation formulas can be summarized in a relatively simple form, cutting processing management can be automated online, thereby improving the desired manufacturing efficiency. . In particular, the maximum value of the amount of deformation obtained in the above manner at each predicted cutting position is
Since the value is used to determine whether the amount of deformation at each predicted cutout position is within the allowable range, the determination becomes easy and accurate.

[Brief explanation of drawings]

FIG. 1 is a flowchart showing the operation of an embodiment of the present invention, FIGS. 2 to 6 are diagrams for explaining the principle of the embodiment, and FIG. 7 is a conceptual plan view showing the configuration of the embodiment. FIG. 8 is a conceptual plan view showing the configuration of a conventional temperature measuring method, and FIG. 9 is a diagram showing the existence of temperature deviation in the longitudinal direction based on data of a thermoview photograph. 1... Steel plate, 2... Rolling machine, 100... Rolled plate,
4...Scanning radiation thermometer, 5...Image processing device,
6... Arithmetic device, 7... Process computer,
W ₀ ... Width of cutting board, ω ... Width of strip cutting, L, L ₁ ~
L ₃ ... Length of bar steel.

Claims (1)

[Scope of Claims] 1. A method for estimating the amount of deformation of a partial material obtained by the cutting process when cutting a plate material having a temperature distribution within the plate surface into a predetermined shape, the method comprising: Measure the plate surface temperature distribution two-dimensionally, and while sequentially changing the predicted cutting position of the partial material at a change interval smaller than the size of the partial material, calculate the obtained value by the measurement for each predicted cutting position. The amount of deformation is estimated and calculated using the plate surface temperature distribution data and a predetermined estimation formula that incorporates the residual stress in the plate material, and the amount of deformation obtained at each of the predicted cutting positions is calculated. A method for estimating the amount of deformation in cutting of a plate material, characterized in that the maximum value of is used as a value for determining whether the amount of deformation at each of the predicted cutting positions is within an allowable range. 2. The plate material is a steel plate, the cutting process is strip cutting of the steel plate, the amount of deformation of the partial material is the amount of lateral bending of the bar steel obtained by the strip cutting process, and the plate surface temperature distribution The measurement is performed at discrete positions having predetermined intervals in each of the longitudinal direction and the width direction of the board surface, and the board surface temperature distribution is stored for each region corresponding to the cut board that is partially sequentially wrapped. and the measurement calculation is performed by sequentially changing the predicted cutting position of the bar in the width direction of the bar at each temperature measurement interval for each of the cutting board corresponding areas. A method for estimating the amount of deformation during cutting of plate materials.