CN114952438A - Finishing manufacturing method and device for cold-rolled strip steel - Google Patents
Finishing manufacturing method and device for cold-rolled strip steel Download PDFInfo
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- CN114952438A CN114952438A CN202210605927.2A CN202210605927A CN114952438A CN 114952438 A CN114952438 A CN 114952438A CN 202210605927 A CN202210605927 A CN 202210605927A CN 114952438 A CN114952438 A CN 114952438A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B1/00—Processes of grinding or polishing; Use of auxiliary equipment in connection with such processes
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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
- B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
- B21B37/30—Control of flatness or profile during rolling of strip, sheets or plates using roll camber control
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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
- B21B37/58—Roll-force control; Roll-gap control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/10—Greenhouse gas [GHG] capture, material saving, heat recovery or other energy efficient measures, e.g. motor control, characterised by manufacturing processes, e.g. for rolling metal or metal working
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Abstract
The application relates to the technical field of metal rolling, and discloses a finishing manufacturing method of cold-rolled strip steel, which comprises the steps of carrying out rough grinding on the strip steel, and controlling the roughness average value Ra of a working roll of a finishing machine to be 1.3-1.7 mu m; controlling the concentration of the grinding fluid to be 3.0%; controlling the flow rate of the fine grinding fluid not to be lower than the rotation speed of the grinding wheel; semi-finish grinding is carried out on the strip steel which is subjected to coarse grinding, the rotating speed of a working roller of a grinding machine is controlled to be 20-24 m/min, ultra-finish grinding is carried out on the strip steel which is subjected to semi-finish grinding, and the rotating speed of the working roller of the grinding machine is controlled to be 400 mm/min; performing network model training by taking data corresponding to the ultra-precision ground strip steel surface parameters as a sample set to generate a strip steel fresh printing forecasting model for simulating actual manufacturing; and forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model. The method and the device can accurately predict the fresh printing result of the processed strip steel by simulating the finishing process of the cold-rolled strip steel, provide technological parameter selection for the actual manufacturing process and meet the requirement of the market on the high fresh printing performance of the strip steel.
Description
Technical Field
The application relates to the technical field of metal rolling, in particular to a finishing manufacturing method and equipment of cold-rolled strip steel.
Background
The cold-rolled strip steel is strip steel which is made by rolling a thin steel plate serving as a raw material through a finishing machine at normal temperature. The finishing process refers to a processing method for reducing the surface roughness of a workpiece without cutting or cutting an extremely thin material layer from the workpiece. The high fresh printing performance means that the coating is uniform, the surface is flat, no thick edge defect and air knife streak defect exist, and a paint film is bright after painting. The degree of the surface fresh printing of the strip steel is related to the surface appearance, the smoothness and the coating performance of the strip steel product. Factors influencing the fresh printing property of the surface of the strip steel mainly comprise the waviness Wca of the working roll, the roughness value Ra of the working roll and the roughness peak value Rpc of the working roll. Because the fresh printing performance of cold-rolled steel strips in actual production is difficult to predict and regulate, a large number of steel strip products in the current market cannot meet the requirement of high fresh printing performance of external plates of automobile joint venture main engine plants.
Disclosure of Invention
In order to accurately predict and control the fresh printability parameters of the manufactured cold-rolled steel strip,
in one aspect, the present application provides a method for finishing a cold-rolled strip steel, comprising the steps of:
roughly grinding the strip steel, and controlling the roughness average value Ra of the working roll of the finishing machine to be 1.3-1.7 mu m; controlling the concentration of the grinding fluid to be 3.0%; controlling the flow rate of the fine grinding fluid not to be lower than the rotating speed of the grinding wheel;
semi-finish grinding is carried out on the strip steel after coarse grinding, and the rotating speed of a working roller of a grinding machine is controlled to be 20-24 m/min;
performing ultra-precision grinding on the semi-precision ground strip steel, and controlling the rotating speed of a working roller of a grinding machine to be 400 mm/min;
controlling the rolling force to be 3500-4500 Kn, taking the control of the corrugation Wsa of the surface of the ultra-precision milled strip steel as a core, forming a sample set by nonlinear relation data corresponding to technological parameters of the surface of the ultra-precision milled strip steel, and carrying out network model training on the sample set to generate a strip steel fresh printing prediction model simulating actual manufacturing;
and forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model.
Further, the technological parameters of the surface of the strip steel comprise rolling force, roughness of a working roll, rotating speed of the working roll of a grinding machine, diameter of a grinding wheel and flow rate of a fine grinding fluid.
Further, the strip steel fresh printing forecasting model comprises error correction, network model training and forecasting calculation.
Further, the error correction includes the steps of:
calculating an error function E;
judging whether convergence is judged, and outputting network parameters when the result is yes;
when the judgment result is negative, recalculating the network parameters;
and inputting the calculation result into a network model for training.
Further, the network model training comprises the following steps:
inputting training samples as learning samples;
normalizing the learning sample data;
judging whether to carry out learning training;
if so, entering network model training;
and when the judgment result is negative, the normalized data is used as the assignment forecasting model parameter.
Further, the forecast calculation comprises the steps of:
verifying the sample;
normalizing the verification sample data;
inputting assignment forecasting model parameters;
judging whether to execute the forecast or not, and ending the command when the judgment result is negative;
and if so, performing forecasting calculation on the assigned forecasting model parameters and the normalized verification sample data, and finishing the command after outputting the result.
Furthermore, the granularity of the grinding wheel is 100#, and the diameter of the grinding wheel is 800-900 mm.
Further, the roughness Ra of the working roll of the optimal working roll of the finishing machine is 1.5 mu m, and the optimal flow speed of the fine grinding fluid is 14 m/min.
In another aspect, the present application further provides a finishing manufacturing apparatus for cold-rolled steel strip, comprising:
the first manufacturing unit is used for carrying out rough grinding on the strip steel, and the roughness average value Ra of the working roll of the finishing machine is controlled to be 1.3-1.7 mu m in the rough grinding process;
the second manufacturing unit is used for performing semi-accurate grinding on the strip steel after the coarse grinding, the rotating speed of a working roller of the grinding machine is controlled to be 20-24 m/min in the semi-accurate grinding process, and the concentration of grinding fluid is 3.0%; controlling the flow rate of the fine grinding fluid not to be lower than the rotating speed of the grinding wheel;
the third manufacturing unit is used for superfinishing the semi-finished strip steel and controlling the rotating speed of a working roll of the grinding machine to be 400 mm/min; controlling the flow rate of the fine grinding fluid not to be lower than the rotation speed of the grinding wheel;
the fourth manufacturing unit is used for generating a prediction model for simulating the freshly printed property of the actually manufactured strip steel according to the technological parameters of the ultra-precision grinding surface;
and the fifth manufacturing unit is used for forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model.
Further, the fourth manufacturing unit is configured to generate a prediction model for simulating the freshly-printed property of the steel strip actually manufactured according to the superfinishing surface process parameters, and includes controlling the rolling force of the prediction model for the freshly-printed property of the steel strip to be 3500-4500 Kn, controlling the waviness Wsa of the surface of the steel strip after superfinishing as a core, forming a sample set from nonlinear relation data corresponding to the superfinishing surface process parameters of the steel strip, and performing network model training on the sample set.
Has the advantages that:
according to the method, the manufacturing process of the cold-rolled strip steel is simulated, the strip steel manufacturing parameters are controlled in the early stage of cold rolling, and the strip steel is subjected to coarse grinding, semi-fine grinding and ultra-fine grinding in sequence to obtain the ultra-fine ground strip steel; according to the super-precision ground strip steel surface parameters, taking the super-precision ground strip steel surface waviness Wsa control as a core, forming a sample set by nonlinear relation data corresponding to the super-precision ground strip steel surface process parameters, carrying out network model training on the sample set, and generating a strip steel fresh printing prediction model simulating actual manufacturing; and selecting an optimal manufacturing parameter set according to the strip fresh printing manufacturing result predicted by the strip fresh printing forecasting model, and adjusting the actual manufacturing parameters of the cold-rolled strip manufacturing equipment to obtain the strip steel meeting the high fresh printing requirement of the market.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for finishing cold-rolled strip steel according to example 1 of the present application;
FIG. 2 is a view of a finishing apparatus for cold-rolled steel strip according to example 2 of the present application;
FIG. 3 is a logic diagram of a prediction model of the freshly printed strip steel provided in embodiment 3 of the present application;
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
Example 1
Referring to fig. 1, an embodiment 1 provides a method for finishing a cold-rolled steel strip, including the steps of,
step 1, carrying out coarse grinding on the strip steel, and controlling the roughness average value Ra of the working roll of the finishing machine to be 1.3-1.7 mu m, wherein the preferred value is 1.4-1.6 mu m. In the embodiment 1, the processes of grinding and roughening the working roll are adopted, the key factor for controlling the medium and long waves of the waviness Wsa on the surface of the strip steel is to control the waviness Wca of the working roll, and in the embodiment 1, the low-waviness working roll is adopted to roll the strip steel so as to obtain the low-waviness Wsa strip steel. In order to reduce the waviness Wsa of the strip, in example 1, a grinding roll having a low roughness Wca and a high-grain grinding wheel were used, and the flow rate of the finish grinding fluid was controlled not to be lower than the rotational speed of the grinding wheel. By increasing the concentration of the grinding fluid to 3.0 percent and optimizing the grinding texturing process, the roughness value Ra of the working roll of the finishing machine is reduced from 2.2 mu m to 1.5 mu m.
And 2, carrying out semi-finish grinding on the strip steel after coarse grinding, reducing the linear velocity of a grinding wheel, controlling the rotating speed of a working roller of the grinding machine to be 20-24 m/min, controlling the granularity of the adopted grinding wheel to be 100#, and controlling the diameter of the adopted grinding wheel to be 800-900 mm. By reducing the line speed, the vibration of the grinding machine during grinding is reduced. The fitting equation of the grinding process aiming at reducing the vibration lines of the working roll is as follows: and the severity of the feed line is 13.0786-0.0194Z axis speed-2.971 current pressure +0.00009012Z axis speed 2+0.3865 current voltage 2+0.002Z axis speed multiplied by current voltage, so that the low-roughness grinding base roller without the feed line is prepared.
In the grinding process, setting other process parameters as constants, and when the granularity of the grinding wheel is larger, the grinding roughness of the surface of the working roll is lower; the larger the diameter of the grinding wheel, the lower the grinding roughness of the surface of the work roll. With the increase of the service cycle of the grinding wheel, the diameter of the grinding wheel is worn and becomes smaller and smaller, so that the grinding efficiency of the grinding wheel is gradually reduced, and different grinding process parameters are used for different diameters of the grinding wheel because the diameter of the grinding wheel has great influence on the surface quality and process requirements of the working roll.
And 3, performing ultra-precision grinding on the semi-refined strip steel, controlling the rotating speed of a working roller of the grinding machine to be 400mm/min, and adjusting the flow rate of the refined grinding fluid to be 14 m/min. The waviness Wsa of the strip steel surface is related to parameters such as shape error of a working roll, roughness of the working roll, rolling force and the like, and also has a relation with vibration of a rolling mill, so that the reduction of the vibration in the finishing process is particularly necessary. The fluctuation of the surface of the working roll can be slowed down through the super-precision grinding process, and further the waviness Wsa of the surface of the strip steel is reduced. The lower the roughness value Ra of the texturing working roll is, the lower the corresponding waviness Wca of the working roll is, so that the waviness Wsa transmitted to the strip steel is reduced, and the fresh printing performance is improved.
Step 4, in example 1, baking hardened steel with a steel type of 180BD + Z is adopted, the rolling force is controlled to be 3500 Kn to 4500Kn, the control of the waviness Wsa of the surface of the ultra-precision milled strip steel is taken as a core, nonlinear relation data corresponding to the technological parameters of the surface of the ultra-precision milled strip steel is formed into a sample set, network model training is performed on the sample set, and a prediction model simulating the freshly printed property of the actually manufactured strip steel is generated, as shown in the following table:
by using the prediction results of the predictive model, when Ra was 1.0. mu.m, the rolling force was reduced from 5881Kn to 4036Kn, Wsa1-5 was reduced from 0.47. mu.m to 0.36. mu.m, and Wca0.8 was reduced from 0.6. mu.m to 0.57. mu.m. The correspondence Δ Wsa 1-5/. DELTA.F is analyzed to be 0.08 μm/1000 Kn.
Along with the reduction of the rolling force, the waviness Wsa of the surface of the strip steel is also reduced. When 180BD + Z steel is adopted, when the rolling force is reduced by 1000Kn, the corresponding strip steel surface waviness Wsa1-5 is reduced by 0.3; when DX54D + Z steel is adopted, when the rolling force is reduced by 200Kn, the corresponding strip steel surface waviness Wsa1-5 is reduced by 0.4.
And 5, forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model.
The requirements of automobile joint venture main engine plants on the outer plates in the current market are as follows: the roughness of the outer plate is controlled to be Ra 0.7-1.1 μm or Ra 1.0-1.4 μm, the roughness range is +/-Ra 0.2 μm, and the Rpc value is not less than 85. The bottleneck factors of the high-grade double-sided O5 outer plate are that the roughness and the Rpc value are not uniformly distributed, and the surface of the galvanized plate has many defects. The high-freshly-printed intercoat-free outer plate has high requirements on the coating process and the freshly-printed property of a paint film by a user, and the low-waviness steel plate has high freshly-printed property and requires that Wsa1-5 is less than or equal to 0.35 mu m and Wca0.8 is less than or equal to 0.5 mu m. The Wsa1-5 of 180BD + Z and DX54D + Z which are provided at present is 0.44 mu m, the requirements of a joint venture factory Wsa1-5 of less than 0.35 mu m cannot be met after molding, and the joint venture factory puts forward complex requirements on the process control of automobile plate production for the low waviness requirement of high-distinctness automobile outer plates and the high roughness requirement of stamping.
Through the steps, the roughness value Ra of the working roll on the surface of the strip steel obtained in the embodiment 1 is less than or equal to 0.1 mu m, the roughness peak value Rpc of the working roll is more than or equal to 100, the waviness Wsa1-5 of the surface of the strip steel is less than 0.3 mu m, and the qualified rate of the surface appearance of the outer plate is more than 98%. The fresh printing performance of the strip steel is obviously improved. The strip steel manufactured by the method improves the surface finish of the strip steel, increases the covering capability of galvanized surface defects, can improve the copying efficiency of the microcosmic appearance of the surface of the working roll which is reversely printed on the outer plate, improves the distinctness of image of the middle-coating-free outer plate, and reduces the surface waviness Wsa of the strip steel, the oil storage property and the oil coating uniformity. The surface appearance control index is superior to the leading enterprises in the same industry. The method is used for acting on outer plates such as DX54D + Z and the like, and experimental results prove that the control mean value of the surface waviness Wsa of processed strip steel such as 180BD + Z, DX54D + Z and the like is lower than that of leading enterprises in the same industry, and the product coating effect is better.
Example 2
With reference to fig. 2, the present embodiment provides a finishing apparatus for cold-rolled strip steel, comprising,
the first manufacturing unit is used for carrying out rough grinding on the strip steel, and the roughness average value Ra of the working roll of the finishing machine is controlled to be 1.3-1.7 mu m in the rough grinding process, and the preferred value is set to be 1.5 mu m;
the second manufacturing unit is used for performing semi-accurate grinding on the strip steel after the coarse grinding, the rotating speed of a working roller of the grinding machine is controlled to be 20-24 m/min in the semi-accurate grinding process, and the concentration of grinding fluid is 3.0%; controlling the flow rate of the fine grinding fluid not to be lower than the rotation speed of the grinding wheel;
the third manufacturing unit is used for superfinishing the semi-finished strip steel and controlling the rotating speed of a working roll of the grinding machine to be 400 mm/min; controlling the flow rate of the fine grinding fluid not to be lower than the rotating speed of the grinding wheel;
the fourth manufacturing unit is used for generating a prediction model for simulating the freshly printed property of the actually manufactured strip steel according to the technological parameters of the ultra-precision grinding surface;
and the fifth manufacturing unit is used for forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model.
Example 3
With reference to fig. 3, the prediction model of the strip steel fresh impression in embodiment 3 includes error correction, network model training, prediction calculation,
the error correction comprises the following steps:
s1.1, calculating an error function E;
s1.2, judging whether convergence is judged, and outputting network parameters when the result is yes;
s1.3, when the judgment result is negative, recalculating the network parameters;
and S1.4, inputting the calculation result into a network model for training.
The network model training comprises the following steps:
s2.1, taking the rolling force, the roughness of a working roll, the rotating speed of the working roll of a grinding machine, the diameter of a grinding wheel, the flow rate of a fine grinding fluid and the like as training samples to be input into a network training model;
s2.2, normalizing the learning sample data;
s2.3, judging whether to perform learning training or not;
s2.4, entering network model training when the judgment result is yes;
and S2.5, when the judgment result is negative, using the normalized data as the parameters of the assignment forecasting model.
The forecast calculation comprises the following steps:
s3.1, verifying the sample;
s3.2, normalizing the verification sample data;
s3.3, inputting assignment forecasting model parameters;
s3.4, judging whether to execute the forecast or not, and ending the command when the judgment result is negative;
s3.5, when the judgment result is yes, performing forecasting calculation on the assignment forecasting model parameters and the normalized verification sample data; and ending the command after the result is output.
The foregoing are examples of the present application and all known constructions and features of the embodiments disclosed herein are not described in any great detail, and all those skilled in the art who have the knowledge of the common general knowledge in the field of the invention before the filing date or the priority date of this application and the knowledge of the common general knowledge in the field of the invention before the filing date can understand all the prior art and have the ability to apply routine experimentation before the date, and those skilled in the art can now combine the teachings of the present application to perfect and implement the embodiments, and some typical known constructions or known methods should not become an obstacle to the implementation of the present application by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present application, several changes and modifications can be made, which should also be regarded as the protection scope of the present application, and these will not affect the effect of the implementation of the present application and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. The finishing manufacturing method of the cold-rolled strip steel is characterized by comprising the following steps:
roughly grinding the strip steel, and controlling the roughness average value Ra of the working roll of the finishing machine to be 1.3-1.7 mu m; controlling the concentration of the grinding fluid to be 3.0%; controlling the flow rate of the fine grinding fluid not to be lower than the rotating speed of the grinding wheel;
semi-finish grinding is carried out on the strip steel after coarse grinding, and the rotating speed of a working roller of a grinding machine is controlled to be 20-24 m/min;
performing ultra-precision grinding on the semi-precision ground strip steel, and controlling the rotating speed of a working roller of a grinding machine to be 400 mm/min;
controlling the rolling force to be 3500-4500 Kn, taking the control of the corrugation Wsa of the surface of the ultra-precision milled strip steel as a core, forming a sample set by nonlinear relation data corresponding to technological parameters of the surface of the ultra-precision milled strip steel, and carrying out network model training on the sample set to generate a strip steel fresh printing prediction model simulating actual manufacturing;
and forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model.
2. The method of claim 1, wherein the step of finishing the cold-rolled steel strip comprises the steps of: the technological parameters of the surface of the strip steel comprise rolling force, roughness of a working roll, rotating speed of a grinding machine working roll, diameter of a grinding wheel and flow rate of a fine grinding fluid.
3. The method of claim 1, wherein the step of finishing the cold-rolled steel strip comprises the steps of: the strip steel fresh printing forecasting model comprises error correction, network model training and forecasting calculation.
4. The method and apparatus for manufacturing cold-rolled steel strip according to claim 3, wherein the error correction comprises the steps of:
calculating an error function E;
judging whether convergence is judged, and outputting network parameters when the result is yes;
when the judgment result is negative, recalculating the network parameters;
and inputting the calculation result into a network model for training.
5. The method as claimed in claim 3, wherein the training of the network model comprises the steps of:
inputting training samples as learning samples;
normalizing the learning sample data;
judging whether to carry out learning training;
if so, entering network model training;
and when the judgment result is negative, the normalized data is used as the assignment forecasting model parameter.
6. A method as claimed in claim 5, characterized in that said predictive calculation comprises the following steps:
verifying the sample;
normalizing the verification sample data;
inputting assignment forecasting model parameters;
judging whether to execute the forecast or not, and ending the command when the judgment result is negative;
and if so, performing forecasting calculation on the assigned forecasting model parameters and the normalized verification sample data, and finishing the command after outputting the result.
7. The method of claim 1, wherein the step of finishing the cold-rolled steel strip comprises the steps of: the granularity of the grinding wheel is 100#, and the diameter of the grinding wheel is 800-900 mm.
8. The skin-pass method of manufacturing a cold-rolled steel strip as claimed in claim 1, wherein: the roughness Ra of the working roll of the optimal working roll of the finishing machine is 1.5 mu m, and the optimal flow speed of the fine grinding fluid is 14 m/min.
9. A finishing manufacturing apparatus of cold-rolled steel strip, characterized by comprising:
the first manufacturing unit is used for carrying out rough grinding on the strip steel, and the roughness average value Ra of the working roll of the finishing machine is controlled to be 1.3-1.7 mu m in the rough grinding process;
the second manufacturing unit is used for performing semi-accurate grinding on the strip steel after the rough grinding, the rotating speed of a working roller of the grinding machine is controlled to be 20-24 m/min in the semi-accurate grinding process, and the concentration of grinding fluid is 3.0%; controlling the flow rate of the fine grinding fluid not to be lower than the rotating speed of the grinding wheel;
the third manufacturing unit is used for superfinishing the semi-finished strip steel and controlling the rotating speed of a working roll of the grinding machine to be 400 mm/min; controlling the flow rate of the fine grinding fluid not to be lower than the rotating speed of the grinding wheel;
the fourth manufacturing unit is used for generating a prediction model for simulating the freshly printed property of the actually manufactured strip steel according to the technological parameters of the ultra-precision grinding surface;
and the fifth manufacturing unit is used for forecasting and adjusting actual manufacturing parameters according to the strip steel fresh printing forecasting model.
10. The finishing manufacturing apparatus of cold rolled steel strip as claimed in claim 9, wherein: the fourth manufacturing unit is used for generating a band steel fresh printing forecasting model simulating actual manufacturing according to the ultra-precision grinding surface process parameters, the rolling force of the band steel fresh printing forecasting model is controlled to be 3500-4500 Kn, the control of the surface waviness Wsa of the ultra-precision grinding band steel is taken as a core, nonlinear relation data corresponding to the ultra-precision grinding band steel surface process parameters are combined into a sample set, and network model training is carried out on the sample set.
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| CN111660151A (en) * | 2020-05-12 | 2020-09-15 | 首钢集团有限公司 | Production method and device of galvanized steel sheet |
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