CN118555990A - Plate thickness control device for rolling mill - Google Patents
Plate thickness control device for rolling mill Download PDFInfo
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- CN118555990A CN118555990A CN202280088053.6A CN202280088053A CN118555990A CN 118555990 A CN118555990 A CN 118555990A CN 202280088053 A CN202280088053 A CN 202280088053A CN 118555990 A CN118555990 A CN 118555990A
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- 238000005096 rolling process Methods 0.000 title claims abstract description 129
- 239000000463 material Substances 0.000 claims abstract description 93
- 238000012937 correction Methods 0.000 claims abstract description 56
- 238000004364 calculation method Methods 0.000 claims abstract description 28
- 238000011144 upstream manufacturing Methods 0.000 claims abstract description 13
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 12
- 239000010959 steel Substances 0.000 claims abstract description 12
- 238000004886 process control Methods 0.000 description 21
- 230000009467 reduction Effects 0.000 description 15
- 230000008859 change Effects 0.000 description 12
- 238000012545 processing Methods 0.000 description 12
- 230000006870 function Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 238000010438 heat treatment Methods 0.000 description 7
- 238000000034 method Methods 0.000 description 5
- 238000001816 cooling Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000005098 hot rolling Methods 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000001934 delay Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 239000002436 steel type Substances 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000007688 edging Methods 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000007769 metal material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/16—Control of thickness, width, diameter or other transverse dimensions
- B21B37/18—Automatic gauge control
- B21B37/20—Automatic gauge control in tandem mills
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Abstract
A plate thickness control device for a rolling mill for rolling a rolled material into a target product plate thickness is provided with a plate thickness deviation learning unit and a gap correction amount calculating unit. The plate thickness deviation learning unit learns the tendency of the plate thickness deviation, which is the difference between the product plate thickness and the actual plate thickness of the rolled material measured on the outlet side of the rolling mill. The sheet thickness deviation learning unit predicts a sheet thickness deviation of a rolled material to be rolled by a rolling mill, based on product information including a product sheet thickness and a steel grade of the rolled material and a measured value of the rolled material measured on an upstream side of the rolling mill, before rolling of the rolled material. A gap correction amount calculation unit calculates a gap correction amount for correcting a roll gap of the rolling mill so as to eliminate a plate thickness deviation predicted by the plate thickness deviation learning unit. The plate thickness control device of the rolling mill adjusts the roll gap of the rolling mill based on the gap correction amount calculated by the gap correction amount calculation unit before rolling the rolled material.
Description
Technical Field
The present disclosure relates to a plate thickness control device for a rolling mill, and more particularly, to a plate thickness control device for a tandem rolling mill having a plurality of stands.
Background
For example, in the hot rolling process, the rolling mill is appropriately operated with a rolling mill to control the plate thickness of the rolled material to a product plate thickness (set plate thickness) by appropriately operating the gap between the upper and lower work rolls (hereinafter referred to as "roll gap"). As such control, monitoring AGC (Automatic Gauge Control), absolute value AGC, and the like are known.
The monitoring AGC is feedback control based on a measured value of a plate thickness gauge provided behind the rolling mill in a conveying direction of the rolled material. The monitor AGC has an advantage that a highly reliable plate thickness measurement value can be used as the measurement value. On the other hand, since the monitor AGC delays measurement by a plate thickness gauge provided at the rear of the rolling mill and delays control, it is difficult to remove plate thickness deviation (deviation between the product plate thickness and the actual plate thickness) of the front end portion of the rolled material.
The absolute value AGC is feedback control of the rolling mill outlet side plate thickness predicted (estimated) by an instrument expression using a measured value based on a load generated during rolling and a roll gap. The absolute value AGC can use a rolling load and a roll gap that do not cause a measured delay, and thus can reduce the delay in control.
However, each measured value used in the above-described plate thickness control is unstable immediately after the start of rolling. Therefore, it is difficult to precisely control the plate thickness of the front end portion of the rolled material. For example, the temperature of the front end portion of the rolled material varies greatly, and it is difficult to suppress the plate thickness deviation caused by the temperature variation by the plate thickness control. As a result, the product plate thickness deviates from the tolerance, resulting in a reduction in yield.
Patent document 1 discloses a method for producing a hot rolled sheet as a rolled material. In this method, a sheet thickness map of the front end portion of the hot rolled sheet is recorded in advance for each steel grade and sheet thickness. The thickness map of the same steel grade and thickness as the hot rolled sheet to be rolled is read, and the roll gap is adjusted in consideration of the read thickness map and the tolerance, thereby shortening the thickness deviation length of the tip portion, and as a result, the yield is improved.
Patent document 2 discloses an automatic plate thickness control method for a rolling mill. The method is a feed-forward AGC for correcting a roll gap based on a measured value of a plate thickness gauge provided on an entry side of a rolling mill.
Prior art literature
Patent literature
Patent document 1: japanese patent laid-open publication No. 2013-198920
Patent document 2: japanese patent laid-open No. 1-154814
Disclosure of Invention
Problems to be solved by the invention
However, in patent document 1, the cause of plate thickness deviation is limited to steel types and plate thicknesses, and thus, plate thickness deviation that may occur due to other causes cannot be suppressed. Further, patent document 2 cannot cope with a case where a plate thickness gauge is not provided on the entry side of the rolling mill. In the case of tandem rolling mills, it is known how much the plate thickness measured by the plate thickness meter on the entry side of the rolling mill has an effect on suppressing the plate thickness deviation.
The present disclosure has been made to solve the above-described problems, and an object thereof is to provide a plate thickness control device for a rolling mill capable of improving plate thickness accuracy by suppressing plate thickness deviation that may occur mainly due to plate thickness deviation other than steel type and plate thickness.
Means for solving the problems
The 1 st aspect relates to a plate thickness control device for a rolling mill for rolling a rolled material into a target product plate thickness. The plate thickness control device is provided with a plate thickness deviation learning unit and a gap correction amount calculating unit. The plate thickness deviation learning unit learns the tendency of the plate thickness deviation, which is the difference between the product plate thickness and the actual plate thickness of the rolled material measured on the outlet side of the rolling mill. The sheet thickness deviation learning unit predicts a sheet thickness deviation of a rolled material to be rolled by a rolling mill, based on product information including a product sheet thickness and a steel grade of the rolled material and a measured value of the rolled material measured on an upstream side of the rolling mill, before rolling of the rolled material. A gap correction amount calculation unit calculates a gap correction amount for correcting a roll gap of the rolling mill so as to eliminate a plate thickness deviation predicted by the plate thickness deviation learning unit. The plate thickness control device of the rolling mill adjusts the roll gap of the rolling mill based on the gap correction amount calculated by the gap correction amount calculation unit before rolling the rolled material.
The 2 nd aspect is characterized by the following features in addition to the 1 st aspect. The measured value of the rolled material is a temperature of the rolled material measured on an upstream side of the rolling mill.
The 3 rd aspect is characterized by the following features in addition to the 1 st aspect or the 2 nd aspect. A plate thickness deviation learning unit learns a learning plate thickness deviation obtained by adding an actual plate thickness deviation obtained from an actual plate thickness of the rolled material to a predicted plate thickness deviation of the rolled material.
The 4 th aspect has the following features in addition to the 1 st aspect or the 2 nd aspect. The rolling mill further includes a plate thickness deviation average calculating unit that calculates an average value of the plate thickness deviation of the front end portion of the rolled material predicted by the plate thickness deviation learning unit, and a gap correction amount calculating unit that calculates a gap correction amount so as to eliminate the average value calculated by the plate thickness deviation average calculating unit.
Effects of the invention
In view 1, the following configuration is adopted: by using the plate thickness deviation learning unit, the plate thickness deviation is predicted based on not only the product plate thickness and the steel grade but also the measured value at the upstream side of the rolling mill, and the roll gap of the rolling mill is adjusted to eliminate the predicted plate thickness deviation, so that the plate thickness deviation possibly caused by the plate thickness deviation of the product plate thickness and the steel grade can be suppressed. As a result, the plate thickness accuracy of the rolled material can be improved.
According to the 2 nd aspect, by predicting the plate thickness deviation of the rolled material in consideration of the temperature of the rolled material measured on the upstream side of the rolling mill, it is possible to suppress the plate thickness deviation that occurs due to the temperature as the main cause of the plate thickness deviation.
According to aspect 3, since the learning value of the sheet thickness deviation learning unit is updated based on the learning sheet thickness deviation, the accuracy of predicting the sheet thickness deviation by the sheet thickness deviation learning unit can be improved, and thereby the sheet thickness accuracy of the rolled material can be further improved.
According to the 4 th aspect, the yield of the front end portion of the rolled material can be improved.
Drawings
Fig. 1 is a schematic diagram for explaining a system configuration of a rolling mill.
Fig. 2 is a schematic diagram showing the structure of the plate thickness control device of the rolling mill according to embodiment 1.
Fig. 3 is a diagram showing an example of a hardware configuration of a process control computer for implementing the sheet thickness control device.
Fig. 4 is a graph showing an example of calculation of the rolling reduction change amount of each frame.
Fig. 5 is a schematic diagram showing the structure of a plate thickness control device of a rolling mill according to embodiment 2.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. Elements common to the drawings are denoted by the same reference numerals, and overlapping description thereof is omitted.
Embodiment 1.
Fig. 1 is a schematic diagram showing the structure of a rolling mill 1. The rolling mill 1 uses steel or other metal material as a rolled material M, and hot-rolls the rolled material M into a plate shape.
The rolling mill 1 is provided with a heating furnace 2, a roughing mill 3, a shearing machine 4, a finishing mill 5 as a hot rolling mill, a cooling device 6, and a coiler 7 as main equipment. In this embodiment, a case will be described in which the plate thickness of the outlet side of the finishing mill 5, which is a hot rolling mill, is controlled to be the product plate thickness (for example, 3.0 mm).
The heating furnace 2 is configured to heat a slab, which is a rolled material M before rolling, to a predetermined temperature. The heating temperature is, for example, 1200 ℃. The plate blank at the outlet side of the heating furnace 2 is, for example, rectangular parallelepiped with a thickness of 200 to 250mm, a width of 800 to 2000mm, and a length of 5 to 12 m.
The roughing mill 3 has at least 1, usually 1 to 3 rolling stands, and is configured to perform multi-pass rolling on the rolled material M heated by the heating furnace 2 in a forward direction (a direction from an upstream side to a downstream side of a pass line) and in a reverse direction (a direction from the downstream side to the upstream side of the pass line). A width adjusting device called a edging mill, not shown, may be attached to the roughing mill 3.
The cutting machine 4 is configured to cut off defective portions existing at the front end portion or the rear end portion of the rolled material M by upper and lower blades based on the shape measured by a shape detector 81 described later.
The finishing mill 5 corresponds to the rolling mill of the present embodiment. The finishing mill 5 is a tandem mill provided with a plurality of rolling stands (hereinafter referred to as "stands") Fi (1.ltoreq.i.ltoreq.n) arranged side by side in the conveying direction of the rolled material M. i is the rack number. In the present embodiment, a case where n=7, that is, a case where 7 racks F1 to F7 are provided in parallel will be described as an example. Each of the frames F1 to F7 includes upper and lower work rolls 51, upper and lower support rolls 52, and a motor 53 for rotating the rolls. The backup roller 52 is provided with a pressing device 54, and the roller gap between the upper and lower work rollers 51 can be adjusted by the pressing device 54. The rolling load of each of the stands F1 to F7 is measured by the rolling load sensor 55. The rolling load sensor 55 is, for example, a load cell. The roll gap of each of the rolling stands F1 to F7 may be measured by a magnetic scale, not shown.
The cooling device 6 is provided in an output table, not shown. The cooling device 6 is configured to cool the rolled material M by injecting water into the rolled material M through a cooling bed. The cooled rolled material M is wound into a coil shape by a winding machine 7.
Various sensors as various measuring devices are provided at important positions of the rolling mill 1. Important parts of the rolling mill 1 are, for example, the outlet side of the heating furnace 2, the outlet side of the roughing mill 3, the outlet side of the finishing mill 5, the inlet side of the coiler 7, etc. Various sensors may also be provided between the stands F1 to F7 of the finishing mill 5. The various sensors include a shape detector 81 capable of measuring the shape (including the plate width) of the rolled material M on the exit side of the roughing mill 3, a thermometer 82 measuring the surface temperature of the rolled material M on the upstream side of the finishing mill 5, a plate thickness meter 83 measuring the actual plate thickness of the rolled material M on the exit side of the finishing mill 5, and the rolling load sensors 55 measuring the rolling loads of the respective frames F1 to F7. The various sensors in turn measure the state of the rolled material M and of the various devices.
The rolling mill 1 is operated by a control system using a computer. The computers include a host computer 10 and a process control computer 11 connected to each other via a network. The upper computer 10 calculates a plate thickness plan for realizing the product plate thickness of the rolled material M. The calculated plate thickness plan includes the plate thickness on the outlet side of each frame Fi. The upper computer 10 further calculates a roller gap of each frame Fi for realizing the plate thickness on the outgoing side of each frame Fi. The calculated roller gap of each frame Fi is input as a setting calculation to the sheet thickness control unit 113 described later. An interface screen 12 as an operation screen of an operator is connected to the process control computer 11 via a network. The operator can perform an input operation of control conditions or the like on the interface screen 12.
The process control computer 11 performs calculation and control of settings of control objects in a series of rolling processes. The process control computer 11 also has a function of correcting the roller gap of each of the frames F1 to F7. Product information is input from the upper computer 10 to the process control computer 11. The product information includes target information (product target) such as the product plate thickness and the product plate width of the rolled material M heated by the heating furnace 2, and the steel grade.
The process control computer 11 appropriately controls the respective devices based on the target information, the control conditions supplied from the interface screen 12, and the like. When the rolled material M is conveyed to a predetermined position of the rolling mill 1, the process control computer 11 calculates settings of each mill capable of achieving the target information, and operates actuators of each mill based on the settings. During operation of each device, the operation of the actuator is corrected based on values obtained from various measuring instruments. The process control computer 11 adjusts the roll gap between the respective stands F1 to F7 of the finishing mill 5 based on the rolling load and the actual sheet thickness so that the actual sheet thickness of the rolled material M becomes the product sheet thickness (i.e., eliminates the sheet thickness deviation).
Fig. 2 is a schematic diagram showing the configuration of a process control computer 11 as a plate thickness control device of the rolling mill according to embodiment 1. The process control computer 11 includes a plate thickness deviation learning unit 111, a gap correction amount calculating unit 112, and a plate thickness control unit 113.
After rolling, the plate thickness deviation learning unit 111 learns the tendency of the plate thickness deviation, which is the difference between the actual plate thickness measured by the plate thickness meter 83 on the outlet side of the finishing mill 5 and the product plate thickness. The learning of the plate thickness deviation is performed based on the product information and the measured value (correlation) measured on the upstream side of the finishing mill 5. The product information includes, for example, at least the thickness and grade of the product, and can also include the width of the product. The measured value is mainly responsible for the plate thickness deviation other than the steel grade and the plate thickness, and may include, for example, at least the temperature of the rolled material M measured by the thermometer 82 on the entry side of the finishing mill 5 (hereinafter also referred to as "finish rolling entry side temperature"), the plate width of the rolled material M measured by the shape detector 81 on the entry side of the finishing mill 5, and the like. As the learning plate thickness deviation learned after rolling, a value obtained by adding an actual plate thickness deviation obtained from an actual plate thickness of the corresponding position of the rolled material M measured by the plate thickness gauge 83 to the plate thickness deviation of 1M predicted by the plate thickness deviation learning unit 111 before rolling can be used. The learning accuracy is improved by updating the learning value every time the rolled material M is rolled. The board thickness deviation learning unit 111 is constructed by a neural network described later, whereby online learning can be performed.
The sheet thickness deviation learning unit 111 predicts a sheet thickness deviation per predetermined length (for example, 1M) before rolling the rolled material M to be rolled by the finishing mill 5 (hereinafter, also referred to as "the rolled material M") by a machine learning function. As the machine learning function, for example, the above-described neural network can be used. In this case, the input layer may be set to a product plate thickness, a product width, a finish rolling inlet side temperature, a rolling distance, and other items related to a plate thickness deviation, and the output layer may be set to a predicted plate thickness deviation (hereinafter also referred to as a "predicted plate thickness deviation") of the rolled material M.
The gap correction amount calculating unit 112 has a function of calculating a correction amount of the roll gap to eliminate the predicted sheet thickness deviation of the rolled material M predicted by the sheet thickness deviation learning unit 111. The gap correction amount calculation section 112 first calculates a plate thickness correction amount based on the roller gap correction. The plate thickness correction amount is calculated based on a change in the rolling reduction of each frame Fi based on the outlet-side plate thickness of each frame Fi in the plate thickness plan calculated by the upper computer 10. The rolling reduction is defined by the following formula (1).
[ Math 1]
Here, i denotes a frame number, r i denotes a rolling reduction of each frame Fi, and h i denotes an outlet side plate thickness of each frame Fi in the plate thickness plan. The amount of change in the rolling reduction is represented by the following formula (2).
[ Formula 2]
Here, Δr i represents the amount of change in the rolling reduction of the frame Fi, and Δh i represents the correction amount of the plate thickness of the frame Fi. When the total number of frames is N (n=7 in the present embodiment), the plate thickness correction amount Δh N of the final frame FN (F7 in the present embodiment) indicates the predicted plate thickness deviation.
However, in the case where the plate thickness correction amount Δh N of the final frame FN is significantly larger than the plate thickness correction amounts of the other frames (F1 to F6 in the present embodiment), that is, in the case where the plate thickness is sharply reduced in the final frame FN, a pocket may occur between the final frame FN and the frame F (N-1) on the upstream side thereof. In this case, even if the looper is disposed, the looper cannot be controlled, and the stability of rolling is impaired.
Therefore, the gap correction amount calculation unit 112 calculates the plate thickness correction amount Δh i of each frame Fi so as to satisfy the following relational expression (3).
[ Formula 3]
Here, ζ i represents a ratio of change in the rolling reduction of the frame Fi, and an arbitrary value larger than 0 is provided as each ratio ζ i. For example, when the ratio ζ 1 of the frame F1 is set to 2 and the ratio ζ 4 of the frame F4 is set to 1, this means that the change amount Δr 1 of the rolling reduction of the frame F1 is set to 2 times the change amount Δr 4 of the rolling reduction of the frame F4. Further, if the ratio ζ 1～ξ7 of all the frames F1 to F7 is set to the same value, the amounts of change in the rolling reduction of all the frames F1 to F7 can be made the same. In this way, by setting the ratio ζ i to be supplied to each stand Fi, the plate thickness can be gradually reduced in each stand F1 to F7, and the rolling stability can be improved.
Fig. 3 is a diagram showing an example of calculation of the rolling reduction and the rolling reduction change amount of each frame Fi. The calculation conditions were that the total number of frames was set to 7, the product plate thickness was set to 3mm, and the predicted plate thickness deviation was set to 0.1mm. The ratio ζ 1～ξ3 of the front frames F1 to F3 was set to 2, and the ratio ζ 4～ξ7 of the rear frames F4 to F7 was set to 1. Thus, the rolling stability is further improved by increasing the amount of change in rolling reduction of the front-stage stands F1 to F3 having relatively high rolling stability by a factor of 2 compared with the amount of change in rolling reduction of the rear-stage stands F4 to F7 having relatively low rolling stability.
The gap correction amount calculation unit 112 calculates the gap correction amount Δs comp,i for each stand Fi by the following expression (4) called a meter expression using the target plate thickness correction amount Δh i for each stand Fi calculated for each 1m after calculating the plate thickness correction amount Δh i for each 1m of the plate thickness deviation predicted by the plate thickness deviation learning unit 111, and outputs the calculated gap correction amount Δs comp,i to the finishing mill 5.
[ Math figure 4]
Here, M i represents a rolling constant, Q i represents a plastic coefficient, and they are calculated by setting calculation by the upper computer 10.
The roll gap of each stand Fi is adjusted by the gap correction amount Δs comp,i according to the rolling distance of each stand Fi. In the present embodiment, the gap correction amount Δs comp,i is calculated for each 1M based on the length of the outlet side of the finishing mill 5, but the roll gap of each stand Fi is adjusted in consideration of the change in length of the rolled material M in each stand Fi, based on the conversion from the length reference of the outlet side of the finishing mill 5 to the length reference of the outlet side of each stand Fi.
The plate thickness control unit 113 has the following functions: based on the setting calculation input from the host computer 10, the roller gap of each frame Fi is controlled, and the plate thickness on the outgoing side of each frame Fi is controlled. Before rolling, the control signal outputted from the plate thickness control unit 113 is added to the gap correction amount Δs comp,i outputted from the gap correction amount calculation unit 112, and the added control signal is inputted to the screwdown 54 of each stand Fi of the finishing mill 5. Thereby, the roll gap of each stand Fi is adjusted before rolling. When the rolling is started, the plate thickness control unit 113 performs feedback control of the roll gap of each rolling stand Fi based on the actual plate thickness inputted from the plate thickness gauge 83.
The configuration of the process control computer 11 is not limited to the specific configuration, but may be as follows, for example. Fig. 4 is a diagram showing an example of the hardware configuration of the process control computer 11. The functions of the process control computer 11 can be implemented by the processing circuitry shown in fig. 4. The processing circuitry may also be dedicated hardware 20a. The processing circuit may include a processor 20b and a memory 20c. The processing circuit may be partially formed as dedicated hardware 20a, and may further include a processor 20b and a memory 20c. In the example of fig. 4, a part of the processing circuit is formed as dedicated hardware 20a, and the processing circuit is further provided with a processor 20b and a memory 20c.
At least a portion of the processing circuitry may also be at least one dedicated hardware 20a. In this case, the processing circuit corresponds to, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or hardware combining them.
The processing circuit may also be provided with at least one processor 20b and at least one memory 20c. In this case, each function of the process control computer 11 is implemented by software, firmware, or a combination of software and firmware. The software and firmware are described as programs and are stored in the memory 20c. The processor 20b reads out the program stored in the memory 20c and executes the program, thereby realizing the functions of each section.
The processor 20b is also referred to as CPU (Central Processing Unit), central processing unit, computing unit, microprocessor, microcomputer, DSP. The memory 20c corresponds to, for example, a nonvolatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, EEPROM, or the like.
Thus, the processing circuitry can implement the functions of the process control computer 11 by hardware, software, firmware, or a combination thereof.
Next, a plate thickness control method of the finishing mill 5 performed by the process control computer 11 will be described.
When the process control computer 11 receives an input from the host computer 10 before rolling the rolled material M, the sheet thickness deviation learning unit 111 predicts the sheet thickness deviation of the rolled material M by the machine learning function, and outputs the predicted sheet thickness deviation to the gap correction amount calculating unit 112. The gap correction amount calculation unit 112 calculates a gap correction amount Δs comp,i to eliminate the predicted plate thickness deviation of the rolled material M. As described above, the gap correction amount calculation unit 112 calculates the plate thickness correction amount Δh i of the rolled material M, calculates the gap correction amount Δs comp,i using the plate thickness correction amount Δh i, and outputs the calculated gap correction amount Δs comp,i to the finishing mill 5. The plate thickness control unit 113 outputs the roll gap set value of each stand Fi, which is a setting calculation input from the upper computer 10, to the finishing mill 5. The finishing mill 5 is inputted with a signal obtained by adding the roll gap set value outputted from the plate thickness control unit 113 to the gap correction amount Δs comp,i outputted from the gap correction amount calculation unit 112. In the finishing mill 5, the roll gap is adjusted by the screwdrivers 54 of each stand Fi according to the input signal. In this way, the roll gap of each stand Fi is adjusted in a feed-forward manner before rolling the rolled material M. Then, the rolling of the rolled material is started, and when the actual plate thickness is input from the plate thickness gauge 83 to the plate thickness control unit 113, the plate thickness control unit 113 executes feedback control.
After rolling of the rolled material M, the process control computer 11 obtains an actual plate thickness deviation, which is a difference between the actual plate thickness measured by the plate thickness gauge 83 and the predicted product plate thickness, adds the obtained actual plate thickness deviation to the predicted plate thickness deviation predicted by the plate thickness deviation learning unit 111 to obtain a learning plate thickness deviation, and the plate thickness deviation learning unit 111 learns the obtained learning plate thickness deviation, thereby updating the learning value of the plate thickness deviation learning unit 111. At this time, the process is performed in association with the product plate thickness, product width, and finish rolling inlet side temperature.
According to the present embodiment, the following constitution is adopted: before rolling, the plate thickness deviation learning unit 111 predicts the plate thickness deviation based on not only the product plate thickness and the steel grade but also the temperature of the rolled material M measured on the upstream side of the finishing mill 5, and adjusts the roller gap of each frame Fi of the finishing mill 5 to eliminate the predicted plate thickness deviation. Therefore, it is possible to suppress plate thickness variation which may occur mainly due to plate thickness variation of products and other types of steel. As a result, the thickness accuracy of the rolled material M can be improved.
Further, the plate thickness deviation learning unit 111 learns the learning plate thickness deviation, and thereby the plate thickness deviation learning unit 111 improves the accuracy of predicting the plate thickness deviation, whereby the plate thickness accuracy of the rolled material M can be further improved.
Embodiment 2.
Fig. 5 is a schematic diagram showing the structure of a plate thickness control device of a rolling mill according to embodiment 2. Embodiment 2 is different from embodiment 1 in that it includes a plate thickness deviation average calculating unit 114 and a gap setting calculating unit 115. In embodiment 2, a part overlapping embodiment 1 is not mentioned.
The plate thickness deviation average calculating unit 114 calculates an average value of the plate thickness deviations of the front end portion of the rolled material M among the plate thickness deviations predicted by the plate thickness deviation learning unit 111 before rolling the rolled material M. The front end portion is set in a range where the temperature measured by the thermometer 82 is relatively unstable, that is, a range where the accuracy of the plate thickness control per 1M is assumed to be relatively low, for example, in a length range of 5M to 10M from the front end of the rolled material M.
The gap correction amount calculation unit 112 calculates a gap correction amount Δs comp,i from the plate thickness deviation average value calculated by the plate thickness deviation average calculation unit 114. The calculation of the backlash correction amount Δs comp,i is similar to that of embodiment 1, and the above expression (4) can be used.
The gap setting calculation unit 115 calculates a set value of the roll gap of each stand Fi of the finishing mill 5 before rolling the rolled material M. The set value of the roll gap calculated by the gap setting calculation unit 115 is corrected by adding the gap correction amount Δs comp,i calculated by the gap correction amount calculation unit 112, and the corrected set value is input to the finishing mill 5. Based on the corrected set values, the roller gap of each frame Fi is adjusted before rolling the rolled material M.
According to the present embodiment, since the plate thickness controllability of the front end portion of the rolled material M is improved, the effect of improving the yield of the front end portion can be obtained. Further, the gap setting calculation unit 115 provided in the process control computer 11 calculates the set value of the roll gap, and corrects the calculated set value, so that the roll gap of each frame Fi can be reliably adjusted before rolling the rolled material M.
The thickness control of the front end portion and the rear end portion of the rolled material M can be performed in combination with embodiment 1.
The embodiments of the present invention have been described above, but the present invention is not limited to the above embodiments, and various modifications can be made and implemented within the scope of the present invention. In the case where the number, the amount, the range, and the like of each element in the above-described embodiment are mentioned, the present invention is not limited to the mentioned number except for the case where it is specifically and clearly specified in principle as the number. The structure and the like described in the above embodiment are not necessarily essential to the present invention, except for the case where they are particularly clear and the case where they are clearly specified in principle.
Symbol description:
5: finishing mill (rolling mill); 11: a plate thickness control device, a process control computer; 111: a board thickness deviation learning unit; 112: a gap correction amount calculation section; m: rolled material.
Claims (4)
1. A plate thickness control device for a rolling mill for rolling a rolled material to a target product plate thickness, comprising:
A sheet thickness deviation learning unit that learns a tendency of sheet thickness deviation, which is a difference between the product sheet thickness and the actual sheet thickness of the rolled material measured on the exit side of the rolling mill, and predicts the sheet thickness deviation of the rolled material based on product information including the product sheet thickness and the steel grade of the rolled material and measured values of the rolled material measured on the upstream side of the rolling mill before rolling the rolled material, by setting the rolled material to be rolled by the rolling mill as the rolled material; and
A gap correction amount calculation unit for calculating a gap correction amount for correcting a roll gap of the rolling mill so as to eliminate the plate thickness deviation predicted by the plate thickness deviation learning unit,
Before rolling the rolled material, the roll gap of the rolling mill is adjusted based on the gap correction amount calculated by the gap correction amount calculating unit.
2. The plate thickness control device for rolling mill according to claim 1, wherein,
The measured value of the rolled material is a temperature of the rolled material measured on an upstream side of the rolling mill.
3. A plate thickness control device for a rolling mill according to claim 1 or 2, wherein,
The plate thickness deviation learning unit learns, after rolling of the rolled material, a learning plate thickness deviation obtained by adding an actual plate thickness deviation obtained from the actual plate thickness of the rolled material to the plate thickness deviation of the rolled material predicted before rolling of the rolled material.
4. A plate thickness control device for a rolling mill according to claim 1 or 2, wherein,
The plate thickness control device of the rolling mill further comprises a plate thickness deviation average calculating unit for calculating an average value of the plate thickness deviation of the front end portion of the rolled material predicted by the plate thickness deviation learning unit before rolling the rolled material,
The gap correction amount calculating unit calculates the gap correction amount before rolling the rolled material so as to eliminate the average value calculated by the plate thickness deviation average calculating unit.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2022/048196 WO2024142253A1 (en) | 2022-12-27 | 2022-12-27 | Plate thickness control device of rolling mill |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118555990A true CN118555990A (en) | 2024-08-27 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202280088053.6A Pending CN118555990A (en) | 2022-12-27 | 2022-12-27 | Plate thickness control device for rolling mill |
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| Country | Link |
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| CN (1) | CN118555990A (en) |
| WO (1) | WO2024142253A1 (en) |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63119919A (en) * | 1986-11-07 | 1988-05-24 | Nippon Steel Corp | Plate thickness control method in rolling |
| JPH07204718A (en) * | 1994-01-11 | 1995-08-08 | Mitsubishi Electric Corp | Rolling device |
| JP2763495B2 (en) * | 1994-10-24 | 1998-06-11 | 三菱電機株式会社 | Rolling equipment |
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2022
- 2022-12-27 CN CN202280088053.6A patent/CN118555990A/en active Pending
- 2022-12-27 WO PCT/JP2022/048196 patent/WO2024142253A1/en unknown
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| WO2024142253A1 (en) | 2024-07-04 |
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