1101results about "Profile control device" patented technology

The invention provides a cold-rolled sheet shape multivariable cooperative control optimization method and system. The method comprises the steps that rolling tension set value parameters are determined on the basis of a dynamic coupling model so as to be matched with dynamic tension fluctuation in the high-speed strip steel rolling process of a cold-rolled sheet, the magnetic conductivity change in the strip steel rolling process is detected through the magnetoelastic effect, and a magnetic conductivity gradient map is generated; residual stress distribution data are inverted based on the magnetic conductivity gradient map, and target axial roll shifting control parameters influencing the roll gap shape are generated; and multivariable cooperative matching is conducted on the rolling tension set value parameter and the target axial roll shifting control parameter, a matching result is obtained, the rolling tension and the roll gap shape are adjusted, and strip steel deviation and fluctuation caused by dynamic coupling of the composite material tension and the cold-rolled sheet shape in the cold-rolled sheet high-speed strip steel rolling process are restrained. According to the technical scheme, through cooperative control of the dynamic coupling model and the magnetic conductivity gradient map, deviation and fluctuation of the strip steel are effectively restrained, and the shape stability and rolling precision of the cold-rolled plate are improved.

The invention provides a cold-rolled strip steel plate shape closed-loop control method and system based on dynamic feedback, and belongs to the technical field of cold-rolled strip steel production.The method comprises the steps that a dynamic incidence matrix and a plate shape deviation signal are generated based on cold-rolled strip steel transverse measuring point data, processing the dynamic incidence matrix to obtain a space correlation defect feature vector of the cold-rolled strip steel, and processing the strip shape deviation signal to obtain a multi-dimensional defect feature vector; determining the strip shape defect type of the cold-rolled strip steel based on the multi-dimensional defect feature vector and the space correlation defect feature vector; and strip steel production control parameters are adjusted based on the strip shape defect type. The plate shape quality stability of the cold-rolled strip steel can be improved.

The invention provides a method for reducing the transverse same-plate difference of a silicon steel product. The method comprises the following steps that S1, the original roller convexity of a cold-rolled silicon steel rolling mill is increased; s2, upper and lower middle rollers of the cold-rolled silicon steel rolling mill are moved, and the axial movement positions of the upper and lower middle rollers are determined according to the width of the strip steel; s3, adjusting the bending roller of the cold-rolled silicon steel rolling mill according to the rolling reduction rate: increasing the forward bending extension amount of the bending roller of the cold-rolled silicon steel rolling mill; s4, the total reduction rate of the cold-rolled silicon steel rolling mill is increased; s5, the strip steel tension of the cold-rolled silicon steel rolling mill is increased; and S6, the same-plate difference of the cold-rolled strip steel is reduced, and meanwhile the plate shape is improved. According to the method, the transverse same-plate difference of the silicon steel cold-rolled strip steel can be reduced to 0.0048-0.0051, and the requirements of manufacturers of motors, transformers and the like on the transverse same-plate difference of silicon steel products are met.

The invention provides a metal plate strip shape recognition and control method based on model fusion. The method comprises the steps that plate shape data and time sequence data corresponding to the plate shape data are collected; carrying out statistics on plate shape defect conditions according to the plate shape data, and carrying out classification and label identification on defects; carrying out normalization processing and matrix processing on the plate shape data, and endowing a probability label value of a category to which the plate shape belongs, so as to form a first data set; constructing a CNN model, and dividing the first data set for training, verifying and testing the CNN model; marking corresponding plate shape state change time points and types for the time sequence data; segmenting the time sequence data into time windows with fixed lengths to form a second data set; constructing an LSTM model, and using the second data set to train, verify and test the LSTM model; and connecting the trained and tested CNN model and the trained and tested LSTM model in series so as to predict and control defects of the plate shape.

The invention provides an electro-plastic plate shape control roller system capable of being independently controlled in a transverse partition mode, which belongs to the technical field of plate strip rolling equipment and comprises a plate shape control roller mandrel, a conductive copper ring, an insulating ceramic ring, a damping rubber sleeve, an insulating ceramic roller sleeve, a conductive swivel joint and the like. According to the system, the conductive copper rings and the insulating ceramic rings which are alternately arranged form a transverse partition electro-plastic plate shape control roller, the strip is wrapped above the electro-plastic plate shape control roller at a certain wrap angle during working, tight contact of the strip and the conductive copper rings is ensured, and the strip shape control roller is controlled by utilizing the principle that the resistance of the conductive copper rings, the strip and the adjacent conductive copper rings is minimum. The external control circuit is used for controlling the on-off of each group of independent conductive copper rings, so that the electric heating effect is realized at different positions along the width direction of the strip, the plastic state of the strip entering a rolling deformation area is changed, the rolling pressure of the deformation area is influenced, and finally the purpose of online regulation and control of the strip shape is realized.

Disclosed is a cooling system (104) and method for a metal processing system (100). The cooling system (104) includes a cooling header (114), an exhaust system (118), a temperature sensor (128), and a controller (130). The cooling header (114) selectively dispenses a coolant onto a metal substrate (110), and the exhaust system (118) removes heated coolant from the metal substrate (110). The temperature sensor (128) is downstream from the cooling header (114) and detects a temperature profile of the metal substrate (110) across a width of the metal substrate. The controller (130) is communicatively coupled to the cooling header (114) and the temperature sensor (128), and the controller (130) controls the cooling header (114) based at least on a detected temperature profile.

The invention relates to the technical field of titanium alloy rolling processing, and discloses a method for inhibiting surface cracking in the rolling process of a high-strength titanium alloy thick plate, which comprises the following steps: selecting a titanium alloy plate blank, and preheating the plate blank; the preheated plate blank is subjected to surface multi-pass rolling treatment, and the roll gap set in the later-pass rolling treatment is smaller than that in the previous-pass rolling treatment; remelting and heating the plate blank, wherein the heating temperature is higher than the preheating temperature; the plate blank is discharged out of the furnace and subjected to multi-pass rolling, a rolled plate blank is obtained, and the rolling pass rolling reduction is controlled to range from 5 mm to 25 mm; and the rolled plate blank is straightened on line and then air-cooled to the room temperature. According to the method, the surface layer of the plate blank substrate is subjected to structure prefabrication, the surface plasticity is improved, the extensibility in the rolling process is improved, and generation of surface cracks is restrained.

The invention belongs to the technical field of rolling, and relates to a method for setting roll bending force and roll shifting amount for controlling the shape of a hot-rolled strip steel, which comprises the following steps of: acquiring historical production data of strip steel in actual production; the method comprises the following steps: performing abnormal value detection on strip steel historical production data by using a 3 sigma principle, removing abnormal values, and dividing the data into a training set and a test set; establishing a convexity prediction model based on Lasso regression, and training the convexity prediction model by using the training set data; testing the trained convexity prediction model based on Lasso regression by using the test set; establishing a plate shape objective function; constraint conditions of rolling variables are established according to all rack equipment in the finishing mill group and the plate shape theory; and a snake vulture optimization algorithm is adopted, the roll bending force and the roll shifting amount of each rack in the finishing mill group are searched within the constraint condition range, the plate shape target function is made to be minimum, and the roll bending force set value and the roll shifting amount set value are obtained.

The invention discloses a hot rolling control method for improving the surface chromatic aberration defect of a 430 stainless steel thick cold plate, which comprises the following steps: controlling the coiling temperature: controlling the coiling temperature of 430 stainless steel to be 650-700 DEG C; a laminar cooling process is determined, a laminar cooling valve device is adopted to cool the 430 stainless steel, the 30m-60m head of the 430 stainless steel is not cooled, and the 30m tail of the 430 stainless steel is not cooled; the time from rolling offline to charging annealing is controlled, the thicker the 430 stainless steel is, the earlier the time from rolling offline to charging annealing is, and the latest time from rolling offline to charging annealing does not exceed 24 h; and optimizing a bell-type furnace annealing process, controlling the annealing temperature to be 840 + / -10 DEG C, and controlling the heat preservation time to be 10 hours. According to the method, the structure uniformity of the annealed thick 430 stainless steel is effectively improved, the color difference defect of the thick 430 stainless steel subjected to cold rolling is remarkably improved, the reject ratio is reduced to 6% or below from 30%, the product quality is improved, the overall production efficiency is improved, and good benefits can be obtained.

The invention provides a hot rolled strip convexity prediction method based on weight distribution strategy hybrid modeling, and relates to the technical field of metallurgical machinery and automation. The method comprises the following steps: acquiring historical production data in the rolling process of a hot-rolled strip, and establishing a convexity mechanism model of the hot-rolled strip; an improved ant colony algorithm is adopted to optimize the extreme learning machine, and a hot rolled strip convexity data driving model is constructed; calculating the information entropy of the mechanical model and the information entropy of the data driving model by adopting an entropy weight method; according to the model information entropy, calculating an initial weight coefficient of a mechanical model and an initial weight coefficient of a data-driven model, and establishing a hybrid model through a weighted summation method; and in hot-rolled strip production of different rolling units, the weight is dynamically adjusted according to the deviation value between the predicted value and the actual value of the mechanism model and the data driving model, and a final hot-rolled strip convexity prediction result is output. By adopting the method, the accuracy of convexity prediction of the hot-rolled strip can be improved.

A control system employs model-based multivariable predictive control for cold rolling mills to improve plate thickness uniformity to meet or exceed flatness specifications. Compared with a traditional control method using PID (Proportion Integration Differentiation)-based closed-loop control, the deviation between the thickness and the flatness of the metal plate and the standard requirement is obviously reduced, and meanwhile, the control precision is improved. The control system is particularly suitable for controlling the four-roller irreversible single-base metal rolling mill. The rolling mill base has a first working roll and a second working roll positioned between a first support roll and a second support roll, respectively. The plurality of sensors measure and acquire characteristic data of the material plate. A model predictive controller manipulates the actuators to adjust thickness and flatness. When rolling a metal sheet, the controller performs automatic specification control (i.e., machine direction metal control) and automatic flatness control (i.e., lateral metal sheet control).

The invention relates to the technical field of metal processing and digital control, and discloses a digital control method and system for copper strip rolling production, and the method comprises the steps: obtaining a technological parameter sequence and a surface image in a rolling process in real time; analyzing the dynamic change trend of the process parameter sequence to obtain parameter fluctuation characteristics; if the parameter fluctuation characteristic exceeds a preset fluctuation threshold value, identifying a microscopic adhesion position of the copper strip surface image and determining a complete distribution map of an adhesion range; analyzing by combining defect features extracted from the complete distribution map and the process parameter sequence to obtain a parameter interaction weight; and based on the parameter interaction weight, generating optimized process parameter configuration and adjusting an equipment operation state. According to the method, the problem that the control precision of the dynamic defects on the surface of the copper strip is insufficient in the prior art is solved by establishing the dynamic correlation between the process parameters and the surface defects and performing data-driven closed-loop control.

The invention relates to the technical field of titanium plate annealing, in particular to a titanium plate cold rolling method and system based on annealing process optimization, and the method comprises the steps that a to-be-annealed titanium plate is subjected to annealing treatment according to an annealing process parameter combination to obtain a to-be-cold-rolled titanium plate, the to-be-cold-rolled titanium plate is subjected to cold rolling, and the average rolling pressure and the critical deformation rate are measured; calculating the rolling deformation slope of the rolling deformation diagram, calculating a current rolling score value according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, judging whether the extraction of the annealing process parameter combination is completed or not, if not, updating the initial combination extraction interval value by using the current combination extraction interval value, and if not, updating the initial combination extraction interval value by using the current combination extraction interval value; and if extraction is completed, the optimal technological parameter combination corresponding to the optimal rolling score value is recognized, and titanium plate annealing and titanium plate cold rolling are conducted according to the optimal technological parameter combination. The cold rolling machining efficiency and machining precision of the titanium plate can be improved.

The invention relates to the technical field of hot-rolled strips, in particular to a three-point difference dynamic adjusting method in the rolling process of hot-rolled strips, which comprises the following steps: S1, preparation before rolling and parameter initialization: roller shape matching and model parameter preloading; s2, dynamic regulation and control at the threading stage: thickness pre-compensation and temperature gradient suppression; s3, steady-state rolling control is conducted, specifically, three-point difference real-time monitoring and compensation are conducted, and thermal convexity dynamic compensation is conducted; and S4, drifting and exception handling: tail stability control and intelligent transition material insertion. According to the method, a full-process control system covering dynamic roll gap regulation and control, temperature-stress coupling compensation and intelligent decision support is constructed, and the problems that head and tail thickness fluctuation is difficult to restrain and edge thinning exceeds the standard by developing an asymmetric roll bending force distribution model and a rolling rhythm self-adaptive roll type matching strategy through traditional single-point thickness control can be effectively solved.

The invention discloses a plate shape control method for a precipitation-hardening martensite SUS630 stainless steel cold-rolled steel strip. The technical problem that the plate shape of the steel strip is difficult to control is solved. The plate shape control method comprises the following steps that S1, hot rolling, annealing and acid pickling are conducted on a steel strip, the thickness of the steel strip is controlled to be 5.0-6.0 mm, and the width of the steel strip is controlled to be 900-2100 mm; s2, 304 stainless steel leading belts matched with the base metal in width and thickness are welded to the head and the tail of the steel coil correspondingly; s3, cold rolling is conducted on the steel strip through a rolling mill; and S4, the steel strip is corrected through a withdrawal and straightening machine, and the finished steel strip is obtained. According to the method, effective control over the plate shape can be achieved, it is guaranteed that the plate shape of the SUS630 cold-rolled, annealed and pickled steel strip is straight, the unevenness of the plate is smaller than or equal to 3 mm after the plate is flattened, and the use requirement of the steel strip is met.

The invention relates to the technical field of hot rolling, in particular to a hot rolling unit finished strip section shape and strip shape forecasting method which comprises the following steps: carrying out transverse unit distribution division on a roll system; the rolling pressure borne by the working roller is segmented; analyzing roller system stress and calculating roller deflection; calculating transverse distribution values of the inter-roller pressure and the rolling force; calculating a section shape distribution value of the finished strip according to a roll gap equation; calculating a front tension transverse distribution value; and calculating the strip shape distribution of the finished strip. The method has the advantages that the metal deformation model and the roll shape elastic deformation model in the hot rolling process are established, the section shape and the plate shape of the finished strip are calculated by coupling the two models, and forecasting of the section shape and the plate shape of the finished strip of the hot rolling unit is completed; the forecasting result obtained by adopting the scheme of the invention conforms to the quality of the product real object produced in an industrial batch mode, and the provided theoretical calculation model can be directly applied to an industrial production line, so that the purposes of simplifying the production process and reducing the production cost are achieved.

A control system employs a model-based multi-variable predictive control for cold rolling mills to improve sheet thickness uniformity to meet or exceed specifications in flatness. Sheet metal thickness and flatness deviations from standard requirements are significantly reduced with attendant improved control accuracy as compared to traditional control approaches that use PID based closed loop controls. The control system is particularly suited for control of 4-hi non-reversible single-stand metal rolling mills. The mill stand has a first work roll and a second work roll respectively positioned between a first back up roll and a second back up roll. A plurality of sensors measures and acquires property data of the sheet of material. A model predictive controller manipulates actuators to regulate thickness and flatness. The controller executes automatic gauge control, which is machine direction metal control, and automatic flatness control, which is cross direction metal sheet control, as metal sheet is rolled.

The invention relates to the technical field of metal plate rolling processing, and discloses a rolling strengthening method capable of reducing the rigidity of a metal plate, which comprises the following steps: applying an asymmetric rolling condition to an initial plate to enable the plate to generate a speed gradient in the thickness direction; the plate is subjected to one-pass large-rolling-reduction rolling, and a non-continuously-distributed shear band is formed; the rolled plate is heated to the dynamic recrystallization temperature interval of the plate, and multi-pass small-rolling-reduction warm rolling is conducted on the plate; and in the warm rolling process, dynamic recrystallization of a shear band is promoted to form a grain-refined continuous core layer, complete recrystallization of the surface structure of the plate is inhibited to keep the work hardening state of the plate, and therefore the metal plate with the rigidity lower than that of an initial plate is obtained. According to the invention, a soft core-hard shell heterostructure is constructed in the plate, high strength and low macroscopic rigidity are synergistically realized, the process controllability is strong, and the method is suitable for preparation of high-performance structural materials.

The invention discloses a production process of high-strength anti-distortion cold-rolled strip steel. The production process comprises the links of raw material preparation, cold rolling, heat treatment, surface treatment and quality detection. Selecting medium-carbon steel with specific components as raw materials, and controlling the tolerance of hot-rolled strip steel; a six-roller unit is adopted for multi-pass rolling in cold rolling, and a plate shape control technology is matched; continuous annealing and gradient quenching-isothermal tempering are applied to heat treatment, so that a specific structure gradient is formed, and the distortion rate is reduced; the surface is subjected to acid pickling, hot galvanizing and a nano ceramic composite coating, so that the corrosion resistance and the wear resistance are improved; and the quality is guaranteed through online detection and sampling inspection. The strip steel produced through the technology is high in strength, good in toughness, high in corrosion resistance and suitable for the high-requirement field.

To provide a warpage measurement method of a metal plate for detecting warpage of a metal plate with high accuracy, and to provide a warpage measurement device, a program, a warpage control method for reducing the warpage of the metal plate, and a manufacturing method of the metal plate with reduced warpage.SOLUTION: A warpage measurement method of a metal plate includes: an imaging step of capturing an image including at least one of a leading end portion and a trailing end portion of the metal plate; an extraction step of detecting a side surface region corresponding to a side surface portion of the metal plate from the image and extracting a coordinate group representing a boundary position of the side surface region; and a specification step of specifying warpage of the metal plate based on the extracted coordinate group.SELECTED DRAWING: Figure 5

The invention provides an intelligent decision-making dynamic cooperative control method for a roller cooling system, and relates to the field of industrial production intelligent control. The method comprises the following steps that the spraying state of each nozzle is monitored in real time; the minimum cooling liquid injection amount of process cooling in the rolling process is calculated; the sectional cooling flow in the rolling process is calculated, and the sectional cooling flow is not lower than the minimum cooling liquid injection amount; master-slave control is formed by process cooling and subsection cooling, the process cooling is responsible for macroscopic temperature field regulation and control, and local defect compensation is executed by the subsection cooling; when it is detected that the nozzles are blocked or fail, the flow compensation algorithm of the adjacent nozzles is started, and the standby micro nozzles are activated to execute fine compensation flow distribution; and after sectional cooling fails, on the basis of executing fine compensation flow distribution, roller fine cooling is adopted to eliminate defects of composite wave shapes, namely high-order plate shapes. The method can effectively solve the problem of high-order plate shape defects caused by failure of a sectional cooling system, and the stability and precision of plate shape control are improved.

The invention relates to the field of hot-rolled plate strip steel rolling plate shape control, and discloses a CVC roller control method and system for hot-rolled plate strip steel, specifically, detailed grading calculation is carried out according to the width and thickness of the strip steel, the reasonably-distributed step length and roller bending force of a CVC roller are obtained, and through collected disturbance factors, the CVC roller bending force is obtained. And a corresponding roll bending force compensation value and a corresponding step length compensation value of the CVC roll are obtained, and finally dynamic control over the CVC roll and the bending roll is formed. According to the method, smooth transition of the channeling amount of the CVC roller is achieved through optimization treatment of step size amplitude limiting of the CVC roller, the systematic control capacity is improved by combining linkage of the bending roller and the CVC roller, the systematic disturbance rejection capacity is improved through depth cooperation of static setting and dynamic adjustment, and the stability of a roller gap and the strip shape quality of strip steel are guaranteed.

The embodiment of the invention discloses a parameter determination method and device, equipment, a medium and a program product, and the method comprises the steps that the current rolling pass of a strip and the current rolling parameters of a rolling mill are obtained; the current rolling pass is used for representing the current number of times of rolling the strip by the rolling mill; determining strip shape information of the strip; a target model corresponding to the current rolling pass is determined from the multiple models; different models in the plurality of models correspond to different training modes; and by means of the target model, based on the strip shape information of the strip and the current rolling parameters of the rolling mill, strip shape control parameters, used for rolling the strip, of the rolling mill are determined. Therefore, compared with the prior art that the roll bending force is adjusted manually, the strip shape control parameters of the rolling mill are determined through the model, and the accuracy of determining the strip shape control parameters of the rolling mill can be improved.

The invention relates to a hot continuous rolling strip steel plate shape control method and device and electronic equipment. The method comprises the steps that plate blank PDI data, equipment parameters and model parameters are read; calculating speed, temperature and thickness parameters of each finish rolling rack based on a finish rolling model; the roll bending force set value of each rack is calculated, and the roll bending force reference value, the convexity self-learning distribution value, the straightness self-learning distribution value and the operator intervention value of the SAMP model table are superposed in response to the situation that the rolling specification is not replaced, so that the roll bending force set value is generated; in response to replacement of steel types, thickness or width specifications, on the basis of superposition of non-replaced specifications, a roll bending force difference value of the SAPP model table and the SAMP model table is introduced to be multiplied by a dynamic adjustment coefficient, and a roll bending force set value is generated; a roll bending force set value is issued to an execution system at the finish rolling inlet moment; and the actual convexity and straightness of the finish rolling outlet strip steel are collected, target values are compared, and the set value of the next plate blank is corrected through self-learning. The method improves the target convexity and straightness hit rate of the hot-rolled strip steel.

A control system employs a model-based multi-variable predictive control for cold rolling mills to improve sheet thickness uniformity to meet or exceed specifications in flatness. Sheet metal thickness and flatness deviations from standard requirements are significantly reduced with attendant improved control accuracy as compared to traditional control approaches that use PID based closed loop controls. The control system is particularly suited for control of 4-hi non-reversible single-stand metal rolling mills. The mill stand has a first work roll and a second work roll respectively positioned between a first back up roll and a second back up roll. A plurality of sensors measures and acquires property data of the sheet of material. A model predictive controller manipulates actuators to regulate thickness and flatness. The controller executes automatic gauge control, which is machine direction metal control, and automatic flatness control, which is cross direction metal sheet control, as metal sheet is rolled.

The invention discloses a cold rolling temper mill strip shape closed-loop control method based on data driving, and relates to the technical field of strip steel rolling and temper production, and the method comprises the following steps: carrying out strip shape mode identification on outlet strip steel of a cold rolling unit, converting a complex strip shape into a strip shape mode coefficient, and based on historical production data, carrying out cleaning, screening and analysis to obtain a strip shape model coefficient; the method comprises the following steps: establishing a temper mill data model between a strip shape regulation and control means and a strip shape mode coefficient, utilizing model prediction control to construct a strip shape closed-loop controller of the temper mill, and utilizing the strip shape closed-loop controller to calculate an optimal control parameter of the strip shape regulation and control means based on an actually measured strip steel strip shape mode coefficient and a target strip shape mode coefficient. And the information is issued to the plate shape regulation and control mechanism for closed-loop regulation. According to the method, data analysis, model prediction control and real-time closed-loop control are combined, the problems that the cold rolling unit temper mill plate shape control precision is poor, and stable and continuous production is difficult are solved, and the plate shape quality and yield of plate and strip products are remarkably improved.

The invention provides an X-type six-roller mill plate shape forecasting method, and belongs to the technical field of metallurgical rolling. The method comprises the following steps: collecting equipment parameters of the X-type six-roller mill, strip characteristic parameters and corresponding rolling process parameters; dividing units and solving influence coefficients; solving the plastic deformation of the strip; carrying out iterative calculation on the roll system elastic deformation model and the strip plastic deformation model until convergence; forecasting the transverse distribution value of the pre-tensile stress of the strip during rolling; and strip outlet plate shape transverse distribution during rolling is forecasted. According to the method, on the basis of the strip plastic deformation model and the roll system elastic deformation model, the pre-tensile stress after rolling is calculated, and then strip shape forecasting is achieved.

The application discloses a kind of suitable for high manganese non-magnetic steel's regrinding rolling process, belong to technical field.The regrinding rolling process includes the following steps: (1) using the regrinding process of ladder transition, the upper surface edge defect of high manganese non-magnetic steel blank is regrinded treatment;(2) using the regrinding process of ladder transition symmetric with upper surface to the lower surface of blank regrinding treatment;(3) the blank after regrinding treatment of upper surface and lower surface is heated treatment;(4) using two-stage controlled rolling process.The regrinding rolling process used in the application is regrinded by ladder transition in the place where blank edge has defect, without regrinding the entire lower surface, after using this regrinding method, the regrinding amount of blank is reduced, and the regrinding efficiency is improved, and the blank yield is improved.The application uses economic TMCP process, and the process is simple, the production cycle is short, and the production cost is low.

The invention provides a novel four-roll hot mill roll bending device which comprises a working roll, a supporting roll, a rack, an operation side fixing block, a transmission side fixing block, a roll shifting cylinder, an operation side moving block and a transmission side moving block, bearing seats of the working roll and the supporting roll are in contact connection through a base plate, a hydraulic cylinder acts on the bearing seat of the supporting roll and abuts against the base plate, and the base plate is in contact connection with the hydraulic cylinder. The operation side fixing block and the transmission side fixing block are fixedly installed on the machine frame, the roll shifting cylinder is installed on the operation side fixing block, and one end of the roll shifting cylinder is connected with the operation side fixing block. The operation side moving block is arranged on the operation side fixing block in a sliding mode and connected with the roll shifting cylinder through a locking pin shaft. The transmission side moving block is arranged on the transmission side fixed block in a sliding manner; and the operation side moving block and the transmission side moving block are connected with the working roll bearing seat through the bearing seat locking device. Roll bending control is carried out on the supporting roll and the working roll at the same time, the surface quality and the yield of the plate blank are improved, and the key effect is achieved on production and efficiency improvement of a steel mill.

To provide an electrode sheet manufacturing device that comprises a pair of rolls for pressing an electrode sheet and can control the thickness of the electrode sheet.SOLUTION: An electrode sheet manufacturing device comprises: a pair of rolls 61U, 61D that presses an electrode active material layer formed on an electrode sheet; a pressing pressure adjustment mechanism 70 that adjusts the pressing pressure of the pair of rolls 61U, 61D; temperature sensors 91 to 96 that detect a surface temperature of at least one roll of the pair of rolls 61U, 61D; and a control unit. The control unit is configured to adjust the pressing pressure on the basis of the surface temperature of the rolls 61U, 61D detected by the temperature sensors 91 to 96.SELECTED DRAWING: Figure 3