CN113319125B - Method for improving size precision of aluminum alloy cold-rolled plate strip - Google Patents
Method for improving size precision of aluminum alloy cold-rolled plate strip Download PDFInfo
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- CN113319125B CN113319125B CN202110629327.5A CN202110629327A CN113319125B CN 113319125 B CN113319125 B CN 113319125B CN 202110629327 A CN202110629327 A CN 202110629327A CN 113319125 B CN113319125 B CN 113319125B
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- 238000000034 method Methods 0.000 title claims abstract description 56
- 229910000838 Al alloy Inorganic materials 0.000 title claims abstract description 32
- 238000005097 cold rolling Methods 0.000 claims abstract description 51
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims 1
- 238000000465 moulding Methods 0.000 description 5
- 238000005452 bending Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011888 foil Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000005457 optimization Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
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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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B3/00—Rolling materials of special alloys so far as the composition of the alloy requires or permits special rolling methods or sequences ; Rolling of aluminium, copper, zinc or other non-ferrous metals
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B3/00—Rolling materials of special alloys so far as the composition of the alloy requires or permits special rolling methods or sequences ; Rolling of aluminium, copper, zinc or other non-ferrous metals
- B21B2003/001—Aluminium or its alloys
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Abstract
The invention relates to a method for improving the dimensional accuracy of an aluminum alloy cold-rolled strip, which comprises the steps of calculating the plate shape deviation value and the dimensional deviation value of a preset plate strip model after forming and a plate model before forming so as to determine cold-rolled forming working parameters, predetermining the cold-rolled forming working parameters before forming, comparing corresponding actual forming plate strip models collected in each time period with the preset plate strip model after forming, determining whether the cold-rolled forming working parameters need to be corrected in time according to the comparison result, and avoiding the unqualified quality of the large-batch formed product; and comparing the formed sheet strip actual model collected after forming with the formed sheet strip preset model, determining whether the formed sheet strip is qualified or not according to the absolute value of the deviation of the formed sheet strip actual model and the formed sheet strip preset model, and performing later-stage correction on cold rolling forming working parameters according to the absolute value of the deviation of the formed sheet strip actual model and the formed sheet strip preset model.
Description
Technical Field
The invention relates to the technical field of aluminum alloy cold-rolled strips, in particular to a method for improving the dimensional accuracy of aluminum alloy cold-rolled strips.
Background
The rolling speed of the modern advanced cold rolling mill is 1500-2000 m/min, the maximum width of a rolled strip is more than 2000mm, and the method has the capability of quickly and effectively controlling the comprehensive shape. The effective control of the plate shape is usually realized by adopting methods such as roll inclination, positive and negative bending of a working roll (independent control of an operating side and a transmission side), positive and negative bending of a middle roll (independent control of the operating side and the transmission side), shifting of the middle roll, process lubrication thermal convexity control and the like. The plate shape control technology of the plate and the strip foil in China reaches a mature height. However, because the wide-width plate and strip production process has the characteristics of multivariable, strong coupling, nonlinearity, time-varying property and the like, the ideal effect of the precision control is difficult to achieve, and a novel precision control method is urgently needed
Disclosure of Invention
In order to solve the defects and shortcomings in the prior art, the invention provides a method for improving the dimensional accuracy of an aluminum alloy cold-rolled plate strip.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for improving the dimensional accuracy of an aluminum alloy cold-rolled plate strip is characterized by comprising the following steps: the method comprises the following steps:
1) Inputting the plate data before forming into a system;
2) Generating a pre-forming plate model in a system according to the input pre-forming plate data;
3) Generating a corresponding formed strip preset model in a model library according to the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed;
4) Calculating the plate shape deviation value and the size deviation value of the plate belt preset model after forming and the plate model before forming;
5) Determining cold rolling forming working parameters according to the calculated plate shape deviation value and the size deviation value;
6) In the cold rolling forming working process, collecting forming middle plate and strip actual models by adopting a visual recognition device in preset time periods, comparing the corresponding forming middle plate and strip actual models collected in the time periods with a forming rear plate and strip preset model, and determining whether the cold rolling forming working parameters need to be corrected in time according to the comparison result;
7) After the cold rolling forming work is finished, acquiring a formed plate strip actual model by using a visual recognition device, comparing the formed plate strip actual model acquired after forming with a formed plate strip preset model, determining whether the formed plate strip is qualified according to the absolute value of the deviation between the formed plate strip actual model and the formed plate strip preset model, and performing later-stage correction on cold rolling forming working parameters according to the absolute value of the deviation between the formed plate strip actual model and the formed plate strip preset model;
8) Collecting the comparison data and results of the previous times in the cold rolling forming working process and the comparison data and results after the cold rolling forming work is finished, and recording the correction process and results of the cold rolling forming working parameters corresponding to the comparison data and results;
9) Classifying and sorting the cold rolling forming working parameter correcting process and results, and displaying the cold rolling forming working parameter correcting process and results which are sorted in the front in advance in the system.
Further, the step 3) further comprises the steps of determining the priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed, and generating a corresponding formed strip preset model in a model library according to the determined priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed.
Further, in the step 3), the preset molded strip model can be displayed according to different requirements according to the determined priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be molded.
Further, in the step 4), calculating a plate shape deviation value of the plate belt preset model after forming and the plate model before forming, and calculating a size deviation value according to the plate shape deviation value; and the size deviation value at least comprises a three-axis coordinate deviation value and a corner deviation value.
Further, in the step 5), the determined working parameters of the cold rolling forming include a forming sequence, a forming position, and a forming workload.
Further, in the step 6), the corresponding in-forming strip actual model collected in each time period is compared with the formed strip preset model, the size deviation of each position is determined, the corresponding strength deviation is estimated according to the size deviation, and the cold rolling forming working parameters are determined to be corrected in time when the estimated corresponding strength deviation exceeds the preset strength deviation corresponding to each preset time period position.
Further, in the step 7), comparing the actual model of the formed strip collected after forming with the preset model of the formed strip, determining the size deviation of each position, estimating the corresponding strength deviation according to the size deviation, and determining that the cold rolling forming working parameters need to be corrected at the later stage when the estimated corresponding strength deviation exceeds the preset strength deviation after forming.
Further, in the step 9), the cold rolling forming working parameter correction process and the cold rolling forming working parameter correction results are classified and sorted according to the correction times.
The beneficial effects of the invention are:
(1) The invention provides a method for improving the dimensional accuracy of an aluminum alloy cold-rolled strip, which determines cold-rolled forming working parameters by calculating the plate shape deviation value and the dimensional deviation value of a preset plate strip model after forming and a plate model before forming, and can predetermine the cold-rolled forming working parameters before forming, thereby determining the relatively accurate cold-rolled forming working parameters before forming and ensuring the product quality in the forming process and after forming.
(2) The invention provides a method for improving the dimensional accuracy of an aluminum alloy cold-rolled strip, which is characterized in that a corresponding actual forming strip model collected in each time period is compared with a preset forming strip model after forming, and whether the cold-rolled forming working parameters need to be corrected in time is determined according to the comparison result, so that the cold-rolled forming working parameters can be corrected in time in each time period in the forming process, the quality is ensured, and the condition that the quality of the aluminum alloy cold-rolled strip is unqualified after large-batch forming is avoided.
(3) The invention provides a method for improving the size precision of an aluminum alloy cold-rolled strip, which is characterized by comprising the steps of comparing a formed strip actual model collected after forming with a formed strip preset model, determining whether the formed strip is qualified according to the absolute value of the deviation between the formed strip actual model and the formed strip preset model, and performing later correction on cold-rolled forming working parameters according to the absolute value of the deviation between the formed strip actual model and the formed strip preset model, so that after forming of each product, post-check comparison can be performed, whether correction is needed or not can be determined, and basis can be provided for each data record to form empirical data for reference during later forming.
(4) The invention provides a method for improving the size precision of an aluminum alloy cold-rolled sheet strip, which classifies and sequences cold-rolling forming working parameter correction processes and results, and displays the cold-rolling forming working parameter correction processes and results which are sequenced in front in advance in a system, so that the parameters which often cause quality disqualification in the cold-rolling working process can be displayed to a user before forming to give early warning in advance, and the rescission is avoided.
Drawings
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic views illustrating only the basic structure of the present invention in a schematic manner, and thus show only the constitution related to the present invention.
Fig. 1 shows a specific embodiment provided by the present invention:
a method for improving the dimensional accuracy of an aluminum alloy cold-rolled plate strip comprises the following steps:
1) Inputting the plate data before forming into a system;
2) Generating a pre-forming plate model in a system according to the input pre-forming plate data;
3) Generating a corresponding formed strip preset model in a model library according to the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed;
4) Calculating the plate shape deviation value and the size deviation value of the plate belt preset model after forming and the plate model before forming;
5) Determining cold rolling forming working parameters according to the calculated plate shape deviation value and the size deviation value;
6) In the cold rolling forming working process, collecting forming middle plate and strip actual models by adopting a visual recognition device in preset time periods, comparing the corresponding forming middle plate and strip actual models collected in the time periods with a forming rear plate and strip preset model, and determining whether the cold rolling forming working parameters need to be corrected in time according to the comparison result;
7) After cold rolling forming is finished, collecting a formed strip actual model by using a visual recognition device, comparing the formed strip actual model collected after forming with a formed strip preset model, determining whether the formed strip is qualified according to the absolute value of the deviation of the formed strip actual model and the formed strip preset model, and performing later-stage correction on cold rolling forming working parameters according to the absolute value of the deviation of the formed strip actual model and the formed strip preset model;
8) Collecting the comparison data and results of the previous times in the cold rolling forming working process and the comparison data and results after the cold rolling forming work is finished, and recording the correction process and results of the cold rolling forming working parameters corresponding to the comparison data and results;
9) Classifying and sorting the cold rolling forming working parameter correction process and the cold rolling forming working parameter correction result, and displaying the cold rolling forming working parameter correction process and the cold rolling forming working parameter correction result which are sorted in the front in advance in the system.
Specifically, the step 3) further comprises the steps of determining the priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed, and generating a corresponding formed strip preset model in a model library according to the determined priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed. The user can conveniently determine the preset model of the formed plate belt according to different requirements, and therefore the user can conveniently observe and adjust in the later period in real time.
Specifically, in the step 3), the preset model of the formed aluminum alloy cold-rolled strip can be displayed according to different requirements according to the determined requirements on the size and the precision of the aluminum alloy cold-rolled strip to be formed. The preset models of the formed plate belt under different requirements are displayed for users, so that the users can adjust the preset models in time.
Specifically, in the step 4), calculating a plate shape deviation value of the plate strip preset model after forming and the plate model before forming, and calculating a size deviation value according to the plate shape deviation value; and the size deviation value at least comprises a three-axis coordinate deviation value and a corner deviation value, so that the actual workload of each axial dimension and each corner dimension in the three-axis coordinate can be determined, as an optimal selection, the corner deviation value is preferentially determined, then the three-axis coordinate deviation value is determined to improve the accuracy of a forming position, and after the three-axis coordinate deviation value is determined, the forming sequence of each axial dimension in the forming process is determined according to the sequence of the deviation values from large to small, so that the influence on other axial dimensions possibly caused when the axial dimension with the large deviation value is formed is reduced.
Specifically, in the step 5), the determined working parameters of the cold rolling forming include a forming sequence, a forming position, and a forming workload. The forming sequence comprises the sequence of all the working procedures and the using sequence of the equipment and the tools in the forming working process, the forming position comprises the forming position of the plate in the forming process and the corresponding working positions of the equipment and the tools in all the working procedures, and the forming workload comprises the corresponding working displacement, time and related data of the equipment and the tools in all the working procedures.
Specifically, in the step 6), the corresponding in-forming strip actual model collected in each time period is compared with the formed strip preset model, the size deviation of each position is determined, the corresponding strength deviation is estimated according to the size deviation, and the cold rolling forming working parameters are determined to be corrected in time when the estimated corresponding strength deviation exceeds the preset strength deviation corresponding to each preset time period position. Preferably, the preset intensity deviation corresponding to each preset time period position is determined by empirical data, and the user can perform real-time optimization and updating according to the comparison data of the subsequent times.
Specifically, in the step 7), the actual model of the formed strip collected after forming is compared with the preset model of the formed strip, the dimensional deviation of each position is determined, the corresponding strength deviation is estimated according to the dimensional deviation, and the cold rolling forming working parameters are determined to be required to be corrected at a later stage when the estimated corresponding strength deviation exceeds the preset strength deviation after forming. Preferably, the preset intensity deviation after molding is determined by empirical data, and can be optimized and updated by a user in real time according to the comparison data of subsequent times.
Specifically, in the step 9), the correction processes and results of the cold rolling forming working parameters are classified and sorted according to the correction times, so that the corresponding cold rolling forming working parameters can be determined according to the correction times, and the working parameters with more correction times are arranged in the front row to give advance warning to users; preferably, the molding process and the molding completion correction times can be classified and sorted respectively, so that pre-warning during molding and after molding can be realized for users respectively.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (5)
1. A method for improving the dimensional accuracy of an aluminum alloy cold-rolled plate strip is characterized by comprising the following steps: the method comprises the following steps:
1) Inputting the plate data before forming into a system;
2) Generating a pre-forming plate model in a system according to the input pre-forming plate data;
3) Generating a corresponding formed strip preset model in a model library according to the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed;
4) Calculating the shape deviation value and the size deviation value of the plate strip preset model after forming and the plate model before forming;
5) Determining cold rolling forming working parameters according to the calculated plate shape deviation value and the size deviation value;
6) In the cold rolling forming working process, collecting forming middle plate and strip actual models by adopting a visual recognition device in preset time periods, comparing the corresponding forming middle plate and strip actual models collected in the time periods with a forming rear plate and strip preset model, and determining whether the cold rolling forming working parameters need to be corrected in time according to the comparison result;
7) After the cold rolling forming work is finished, acquiring a formed plate strip actual model by using a visual recognition device, comparing the formed plate strip actual model acquired after forming with a formed plate strip preset model, determining whether the formed plate strip is qualified according to the absolute value of the deviation between the formed plate strip actual model and the formed plate strip preset model, and performing later-stage correction on cold rolling forming working parameters according to the absolute value of the deviation between the formed plate strip actual model and the formed plate strip preset model;
8) Collecting the comparison data and results of the previous times in the cold rolling forming working process and the comparison data and results after the cold rolling forming work is finished, and recording the correction process and results of the cold rolling forming working parameters corresponding to the comparison data and results;
9) Classifying and sorting the cold rolling forming working parameter correcting process and results, and displaying the cold rolling forming working parameter correcting process and results which are sorted in the front in advance in the system;
comparing the corresponding formed middle plate strip actual model collected in each time period with the formed plate strip preset model in the step 6), determining the size deviation of each position, predicting the corresponding strength deviation according to the size deviation, and determining that the cold rolling forming working parameters need to be corrected in time when the predicted corresponding strength deviation exceeds the preset strength deviation corresponding to each preset time period position;
comparing the actual model of the formed strip collected after forming with the preset model of the formed strip in the step 7), determining the size deviation of each position, predicting the corresponding strength deviation according to the size deviation, and determining that the cold rolling forming working parameters need to be corrected in the later period when the predicted corresponding strength deviation exceeds the preset strength deviation after forming;
and 9) classifying and sequencing the cold rolling forming working parameter correction process and results according to the correction times.
2. The method for improving the dimensional accuracy of the aluminum alloy cold-rolled strip according to claim 1, wherein the method comprises the following steps: and 3) determining the priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed, and generating a corresponding formed strip preset model in a model library according to the determined priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed.
3. The method for improving the dimensional accuracy of the aluminum alloy cold-rolled strip according to claim 1, wherein the method comprises the following steps: in the step 3), the preset model of the formed aluminum alloy cold-rolled strip can be displayed according to different requirements according to the determined priority of the size requirement and the precision requirement of the aluminum alloy cold-rolled strip to be formed.
4. The method for improving the dimensional accuracy of the aluminum alloy cold-rolled sheet strip according to claim 1, wherein the method comprises the following steps: in the step 4), calculating a plate shape deviation value of the plate belt preset model after forming and the plate model before forming, and calculating a size deviation value according to the plate shape deviation value; and the size deviation value at least comprises a three-axis coordinate deviation value and a corner deviation value.
5. The method for improving the dimensional accuracy of the aluminum alloy cold-rolled strip according to claim 1, wherein the method comprises the following steps: in the step 5), the determined working parameters of the cold rolling forming comprise a forming sequence, a forming position and a forming workload.
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| CN107363105A (en) * | 2017-07-20 | 2017-11-21 | 首钢集团有限公司 | A kind of control method and device of hot rolled coil head thickness |
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2021
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Patent Citations (8)
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| US3526113A (en) * | 1968-04-12 | 1970-09-01 | Morgan Construction Co | Automatic shape control system for bar mill |
| US3564882A (en) * | 1968-04-22 | 1971-02-23 | Allegheny Ludlum Steel | Rolling mill control system |
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Denomination of invention: A Method for Improving the Dimensional Accuracy of Aluminum Alloy Cold Rolled Sheet and Strip Effective date of registration: 20231102 Granted publication date: 20221129 Pledgee: Agricultural Bank of China Limited Zhenjiang Dantu sub branch Pledgor: ZHENJIANG LONGYUAN ALUMINUM Co.,Ltd. Registration number: Y2023980063495 |
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