CN109798843B - Method for judging steel plate surface waviness influence factors in cold rolling process - Google Patents
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Abstract
The invention discloses a method for judging steel plate surface waviness influence factors in a cold rolling procedure, and relates to the field of micro-morphology testing. The steel plate cold rolling production process is a continuous process, samples are taken under different production process conditions, the surface waviness of the cold-rolled steel plate is measured by an optical profilometer according to a cold-rolled steel plate surface waviness measuring method and standard, and the steel plate surface waviness under various influence factor conditions in the cold rolling process is accurately evaluated. And (3) collating a large amount of test data to obtain influence factors and rules influencing the surface waviness of the steel plate in the cold rolling procedure, and providing control measures for improving the surface waviness of the steel plate in the cold rolling procedure, so that the surface waviness of the cold-rolled steel plate is ensured to be within a standard control range, and the method plays a guiding role in production and use of the cold-rolled steel plate.
Description
Technical Field
The invention belongs to the technical field of microscopic morphology testing, and relates to a method for judging steel plate surface waviness influence factors in a cold rolling procedure.
Background
With the increasingly strict requirements of national environmental protection regulations, the coating process in the automobile industry develops towards a waterborne floating-coating-free process with low energy consumption, low emission and low pollution. After the floating coat process is avoided, the appearance quality of the whole paint layer is easy to generate defects of orange peel, particles, poor distinctness of image and the like, so that on one hand, automobile factories are required to research better coating processes, and on the other hand, steel factory raw materials are required to have higher surface quality.
The surface quality of the cold-rolled steel sheet is an important link for production control, and the surface waviness of the cold-rolled steel sheet is an important index for evaluating the surface quality of the cold-rolled steel sheet. It not only affects the deformation behavior of the strip steel during stamping and the appearance condition after coating, but also changes the corrosion resistance of the material. Therefore, the method can accurately measure and evaluate the surface waviness of the cold-rolled steel sheet, judge the influence factors of the surface waviness of the steel sheet in the cold-rolling process, provide control measures for improving the surface waviness of the steel sheet in the cold-rolling process, ensure that the surface waviness of the cold-rolled steel sheet is in a standard control range, play an instructive role in the production and use of the cold-rolled steel sheet, and have important significance.
At present, steel enterprises and automobile enterprises carry out related research work on the surface waviness test of steel plates, but the method is only used for measuring the surface waviness of the steel plates, and a method for systematically researching the influence factors on the surface waviness of the steel plates in the whole cold rolling process is not available.
Disclosure of Invention
The invention provides a method for judging the influence factors of the surface waviness of a steel plate in a cold rolling procedure, which can accurately measure and evaluate the surface waviness of the cold-rolled steel plate, judge the influence factors of the surface waviness of the steel plate in the cold rolling procedure, provide control measures for improving the surface waviness of the steel plate in the cold rolling procedure, ensure that the surface waviness of the cold-rolled steel plate is in a standard control range, and guide the production of the cold-rolled steel plate.
The invention provides a method for judging steel plate surface waviness influence factors in a cold rolling procedure, which comprises the following steps:
step 1: sampling in different sub-processes of the cold rolling process, wherein each sub-process takes 3-5 samples;
step 2: measuring the surface waviness of each sample in each sub-process by using an optical profiler, and calculating the arithmetic mean value of the surface waviness of all samples in the sub-process;
and step 3: changing the technological parameters of the sub-processes, repeating the step 1 and the step 2, and obtaining the arithmetic mean value of the surface waviness of all samples of all the sub-processes under different technological parameter conditions;
and 4, step 4: drawing surface waviness change curves of different process parameters of different sub-processes and analyzing the change curves to obtain steel plate surface waviness influence factors and influence trends in the cold rolling process;
and 5: and providing a control measure for improving the surface waviness of the steel plate in the cold rolling procedure according to the influence factors and the influence trend of the surface waviness.
In the method for judging the influence factors of the surface waviness of the steel plate in the cold rolling procedure, 3-5 samples are respectively selected in an acid rolling sub-procedure, a continuous annealing sub-procedure and a flattening sub-procedure of the cold rolling procedure, and the sample size is 150mm multiplied by 100 mm.
In the method for determining the influence factors of the surface waviness of the steel sheet in the cold rolling process, the step 2 is specifically as follows:
step 2.1: placing the sample on a non-contact 3D optical profiler for white light interference, scanning the sample along the rolling direction, and drawing the original three-dimensional profile of the surface of the sample;
step 2.2: performing first-order polynomial processing along the testing direction of the original three-dimensional contour, and then performing fifth-order polynomial fitting to remove the shape error in the sampling length;
step 2.3: removing the short wave part of 0.8mm by using a Gaussian filter to obtain a waviness profile within the sampling length;
step 2.4: the waviness is calculated according to the following formula:
wherein lwFor evaluating the sampling length of the waviness profile, the unit mm, Z (x) is a waviness profile curve function;
step 2.5: repeating the step 2.1-2.4, measuring twice respectively, wherein the three testing directions are parallel to each other, the distance is 15mm, and the average value of the three tested waviness is taken as the surface waviness value of the sample;
step 2.6: and (5) repeating the steps 2.1-2.5 to respectively calculate the surface waviness of all samples in the sub-process, and calculating the arithmetic mean value of the surface waviness of all samples.
In the method for determining the influence factors of the surface waviness of the steel sheet in the cold rolling process, the step 4 is specifically as follows:
step 4.1: respectively drawing surface waviness change curves of different process parameters in the acid rolling sub-process, the continuous annealing sub-process and the flattening sub-process according to test results after multiple tests;
step 4.2: analyzing the surface waviness change curves of different process parameters to obtain the following conclusion:
in the acid rolling sub-procedure, the rolling reduction rate of the rolling mill influences the cold plate waviness, and the working roll period of the rolling mill influences the cold plate waviness;
in the continuous annealing sub-process, the annealing temperature does not influence the waviness of the cold plate;
in the leveling sub-process, the elongation of the leveler and the period of the working roll influence the surface waviness of the steel plate.
The invention provides a method for judging steel plate surface waviness influence factors in a cold rolling procedure, which comprises the steps of sampling in different cold rolling procedures, measuring the surface waviness of a steel plate by using an optical profilometer, analyzing a test result to obtain the steel plate surface waviness influence factors in the cold rolling procedure, and providing measures for improving the steel plate surface waviness influence factors in the cold rolling procedure. The method can accurately measure and evaluate the surface waviness of the cold-rolled steel sheet, judge the influence factors of the surface waviness of the steel sheet in the cold-rolling process, provide control measures for improving the surface waviness of the steel sheet in the cold-rolling process, ensure that the surface waviness of the cold-rolled steel sheet is in a standard control range, and guide the production of the cold-rolled steel sheet.
Drawings
FIG. 1 is a raw profile curve of a test sample;
FIG. 2 is a profile curve after a first order polynomial process;
FIG. 3 is a profile curve with a fifth order polynomial fit to remove sample length shape error;
FIG. 4 shows the removal of λ by a Gaussian filtercWaviness profile of 0.8mm short-wave portion.
Detailed Description
Surface waviness: surface irregularities, i.e. surfaces, defined by elements of wave pitch between macroscopic geometric errors and microscopic surface roughnessAnd the size of the profile long-wave component combination is 1-10 mm. The surface waviness is characterized mainly by a profilometry, a plurality of surface waviness parameters can be calculated from a waviness profile, and the most common parameter is the arithmetic mean deviation W of the waviness profileaIt can be understood that within a waviness sampling length lw, the curve z (x) obtained by filtering the actual surface end face curve directly obtained at the time of detection is the arithmetic mean unit μm of the absolute value of the distance from the least-squares center line, and is defined as follows:
wherein: lwTo assess the sampling length of the waviness profile, the units mm, Z (x) are a waviness profile curve function.
The invention discloses a method for judging steel plate surface waviness influence factors in a cold rolling procedure, and relates to the field of micro-morphology testing. The steel plate cold rolling production process is a continuous process, samples are taken under different production process conditions, the surface waviness of the cold-rolled steel plate is measured by an optical profilometer according to a cold-rolled steel plate surface waviness measuring method and standard, and the steel plate surface waviness under various influence factor conditions in the cold rolling process is accurately evaluated. And (3) collating a large amount of test data to obtain influence factors and rules influencing the surface waviness of the steel plate in the cold rolling procedure, and providing control measures for improving the surface waviness of the steel plate in the cold rolling procedure, so that the surface waviness of the cold-rolled steel plate is ensured to be within a standard control range, and the method plays a guiding role in production and use of the cold-rolled steel plate.
The invention discloses a method for judging steel plate surface waviness influence factors in a cold rolling procedure, which comprises the following steps:
step 1: sampling in different sub-processes of the cold rolling process, wherein each sub-process takes 3-5 samples;
in the specific implementation, 3-5 samples with the sample size of 150mm multiplied by 100mm are respectively selected in the acid rolling sub-process, the continuous annealing sub-process and the flattening sub-process of the cold rolling process.
Step 2: and measuring the surface waviness of each sample in each sub-process by using an optical profilometer, and calculating the arithmetic average value of the surface waviness of all samples in the sub-process, wherein the room temperature is 15-30 ℃, the humidity is less than 80%, the test is carried out under a non-condensation condition, the temperature fluctuation during the test is not more than 2 ℃, and the test length is 50 mm. The step 2 specifically comprises the following steps:
step 2.1: placing the sample on a non-contact 3D optical profiler with white light interference, scanning the sample along the rolling direction, and sampling for a length lw50mm, and drawing the original three-dimensional contour of the surface of the sample;
step 2.2: performing first-order polynomial processing along the testing direction of the original three-dimensional contour, and then performing fifth-order polynomial fitting to remove the shape error in the sampling length;
step 2.3: removing the short wave part of 0.8mm by using a Gaussian filter to obtain a waviness profile within the sampling length;
step 2.4: the waviness is calculated according to the following formula:
wherein lwFor evaluating the sampling length of the waviness profile, the unit mm, Z (x) is a waviness profile curve function;
step 2.5: repeating the step 2.1-2.4, measuring twice respectively, wherein the three testing directions are parallel to each other, the distance is 15mm, and the average value of the three tested waviness is taken as the surface waviness value of the sample;
step 2.6: and (5) repeating the steps 2.1-2.5 to respectively calculate the surface waviness of all samples in the sub-process, and calculating the arithmetic mean value of the surface waviness of all samples.
And step 3: changing the technological parameters of the sub-processes, repeating the step 1 and the step 2, and obtaining the arithmetic mean value of the surface waviness of all samples of all the sub-processes under different technological parameter conditions;
and 4, step 4: drawing surface waviness change curves of different process parameters of different sub-processes and analyzing the change curves to obtain steel plate surface waviness influence factors and influence trends in the cold rolling process, wherein the step 4 specifically comprises the following steps:
step 4.1: respectively drawing surface waviness change curves of different process parameters in the acid rolling sub-process, the continuous annealing sub-process and the flattening sub-process according to test results after multiple tests;
step 4.2: and analyzing the change curve of the surface waviness of different process parameters.
Because the variety of cold-rolled products is various and the production process flow is also characterized, the invention selects the representative cold-rolled product with larger production capacity as the research object. This patent is in different rolling mill screw-down rates and work roll cycle in sour rolling sub-process, and different annealing temperature in the continuous annealing sub-process, different elongation and work roll cycle condition sample in the level sub-process, the surface waviness of test steel sheet.
1. Acid rolling sub-process (acid washing, cold rolling)
Rolling mill reduction: the rolling process has different maximum reduction ratios for different steel grades and different reduction ratio distribution of each pass. The distribution of the reduction rate of each pass is different for steel grades with the same grade and the same specification and going to different (galvanizing and continuous annealing) steel grades. Thus, the mill reduction affects the cold plate waviness.
Working roll period: the work rolls are in contact with the steel sheet regardless of the period of the intermediate rolls and the support rolls. Roughness R of front four-stand roller working roll in 1-5 # rolling milla<1.2 mu m, smooth roll, 5# rolling mill working roll, rough roll and working roll roughness RaWithin a range of 2.0 to 3.0 μm. Consider the effect of the work roll period of the 5# rolling mill on cold plate waviness.
Therefore, the steps affecting the surface waviness of the steel sheet in the acid rolling sub-step include rolling mill reduction and work roll cycle. The waviness of the steel plate increases with the increase of the rolling mill reduction; the waviness of the steel sheet decreases as the work roll period increases.
2. Continuous annealing substep (Heat treatment)
Annealing furnace of continuous annealing machine set: the vertical annealing furnace consists of seven parts, namely a preheating section (PHS), a Heating Section (HS), a heat preservation section (SS), a Slow Cooling Section (SCS), a fast cooling section (RCS), an overaging section (OAS) and a Final Cooling Section (FCS). The whole process of the continuous annealing process takes the control of the temperature of the strip steel as a main means and is assisted with the adjustment and control of the speed, the furnace pressure, the atmosphere, the tension and the like of a process section to realize the annealing process treatment of the strip steel with different steel types and different specifications so as to obtain the performance and the surface quality of products meeting the requirements of users. The test shows that the waviness of the steel plate does not change obviously with the increase of the finish rolling temperature.
3. Leveling sub-process (finishing)
The term "temper rolling" means rolling the strip after recrystallization annealing with a small deformation (0.5% to 3%) in order to eliminate the yield plateau and the slight waviness, while ensuring a certain surface roughness of the strip. The elongation of the leveler and the work roll period affect the surface waviness of the steel sheet. The corrugation degree of the steel plate is slowly increased along with the increase of the flattening elongation; the steel plate waviness slowly decreases as the work roll period increases.
And 5: and providing a control measure for improving the surface waviness of the steel plate in the cold rolling procedure according to the influence factors and the influence trend of the surface waviness.
At present, steel mills and automobile mills only carry out surface waviness tests on products, and influence factors of cold rolling procedures on the surface waviness of steel plates are not researched. The steel mill has to strictly control the surface waviness as required by high-product surface quality, and the method for judging the steel plate surface waviness influence factors in the cold rolling procedure can provide guidance for the production process of the automobile plate and indirectly promote the further reduction of the production cost of the automobile plate. Meanwhile, the quality of the steel plate can be guaranteed, the problems that the grade is reduced and the like due to poor surface quality of a production department can be avoided, and the expenditure of raw materials and extra resource waste are reduced.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, which is defined by the appended claims.
Claims (4)
1. A method for judging steel plate surface waviness influence factors in a cold rolling procedure is characterized by comprising the following steps:
step 1: sampling in different sub-processes of the cold rolling process, wherein each sub-process takes 3-5 samples;
step 2: measuring the surface waviness of each sample in each sub-process by using an optical profiler, and calculating the arithmetic mean value of the surface waviness of all samples in the sub-process;
and step 3: changing the technological parameters of the sub-processes, repeating the step 1 and the step 2, and obtaining the arithmetic mean value of the surface waviness of all samples of all the sub-processes under different technological parameter conditions;
and 4, step 4: drawing surface waviness change curves of different process parameters of different sub-processes and analyzing the change curves to obtain steel plate surface waviness influence factors and influence trends in the cold rolling process;
and 5: and providing a control measure for improving the surface waviness of the steel plate in the cold rolling procedure according to the influence factors and the influence trend of the surface waviness.
2. The method for judging the influence factors of the waviness of the surface of a steel sheet in a cold rolling process as set forth in claim 1, wherein 3 to 5 samples having a size of 150mm x 100mm are selected in each of the acid rolling sub-process, the continuous annealing sub-process and the flattening sub-process of the cold rolling process.
3. The method for determining the influence factors of the surface waviness of the steel sheet in the cold rolling process according to claim 1, wherein the step 2 is specifically:
step 2.1: placing the sample on a non-contact 3D optical profiler for white light interference, scanning the sample along the rolling direction, and drawing the original three-dimensional profile of the surface of the sample;
step 2.2: performing first-order polynomial processing along the testing direction of the original three-dimensional contour, and then performing fifth-order polynomial fitting to remove the shape error in the sampling length;
step 2.3: removing the short wave part of 0.8mm by using a Gaussian filter to obtain a waviness profile within the sampling length;
step 2.4: the waviness is calculated according to the following formula:
wherein lwFor evaluating the sampling length of the waviness profile, the unit mm, Z (x) is a waviness profile curve function;
step 2.5: repeating the step 2.1-2.4, measuring twice respectively, wherein the three testing directions are parallel to each other, the distance is 15mm, and the average value of the three tested waviness is taken as the surface waviness value of the sample;
step 2.6: and (5) repeating the steps 2.1-2.5 to respectively calculate the surface waviness of all samples in the sub-process, and calculating the arithmetic mean value of the surface waviness of all samples.
4. The method for determining the influence factors of the surface waviness of the steel sheet in the cold rolling process according to claim 1, wherein the step 4 is specifically:
step 4.1: respectively drawing surface waviness change curves of different process parameters in the acid rolling sub-process, the continuous annealing sub-process and the flattening sub-process according to test results after multiple tests;
step 4.2: analyzing the surface waviness change curves of different process parameters to obtain the following conclusion:
in the acid rolling sub-procedure, the rolling reduction rate of the rolling mill influences the cold plate waviness, and the working roll period of the rolling mill influences the cold plate waviness;
in the continuous annealing sub-process, the annealing temperature does not influence the waviness of the cold plate;
in the leveling sub-process, the elongation of the leveler and the period of the working roll influence the surface waviness of the steel plate.
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| CN110146034A (en) * | 2019-06-20 | 2019-08-20 | 本钢板材股份有限公司 | A kind of method of discrimination of the cold-reduced sheet surface quality based on surface waviness |
| CN112122364B (en) * | 2019-06-25 | 2022-06-28 | 宝山钢铁股份有限公司 | Method for measuring surface waviness of cold-rolled strip steel |
| CN112981069B (en) * | 2021-02-04 | 2022-04-26 | 山西太钢不锈钢股份有限公司 | Preparation method of low-glossiness stainless steel panel material |
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