CN118023211A - Non-damage laser paint removing method, device, equipment and medium for cold-rolled color-coated plate substrate - Google Patents
Non-damage laser paint removing method, device, equipment and medium for cold-rolled color-coated plate substrate Download PDFInfo
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- Application Of Or Painting With Fluid Materials (AREA)
Abstract
The invention discloses a method, a device, equipment and a medium for nondestructive laser paint removal of a cold-rolled color-coated plate substrate, belonging to the technical field of laser application, wherein the method comprises the following steps: acquiring cold-rolled sheet color-coated sheet information and substrate color difference, and detecting the thickness of a paint film; decomposing the cold-rolled sheet color-coated sheet into RGB three primary colors, determining laser processing parameters according to the information of the cold-rolled sheet color-coated sheet, and obtaining a paint removal model; controlling laser paint removal by calling a paint removal model, and detecting chromaticity difference between the RGB information of the panel surface and the RGB of the substrate; if the chromaticity difference is smaller than a preset threshold value, finishing paint removal, and determining the thickness of a paint film; and if the chromaticity difference is not smaller than the preset threshold value, the paint removing model is readjusted, laser processing parameters are adjusted, and laser paint removing is controlled. The invention can effectively replace the traditional physical or chemical paint removing technology, and avoids the environmental pollution and the risk of human injury caused by the traditional physical or chemical paint removing technology.
Description
Technical Field
The invention belongs to the technical field of laser application, and particularly relates to a method, a device, equipment and a medium for nondestructive laser paint removal of a cold-rolled color-coated plate substrate.
Background
The color-coated plate is a composite material formed by pre-treating a cold-rolled galvanized substrate, then coating one or more layers of organic paint, and baking. The color coated plate is produced by adopting a roller coating and baking process, mainly adopting two-coating and two-baking processes, and the coating types comprise general polyester, silicon modified polyester, high-durability polyester, polyvinylidene fluoride and the like. The thickness measurement of the cold-rolled color-coated sheet paint film is an important index for evaluating the quality of the paint film, and directly relates to price settlement of suppliers and the use condition of users, and the measurement precision requirement reaches 1um. Generally, the manual paint film removal micrometer method is used for measurement, and the traditional product paint removal method mainly comprises two methods: the first is a chemical paint removal method, i.e. the swelling and dissolution of the paint layer of the product by means of a cleaning liquid, such as concentrated sulfuric acid, alkaline or organic paint removers. The other is a physical paint removal method, namely, mechanically forcedly removing a paint layer of a product, such as scraping or flushing the paint with high-pressure water. Obvious defects: the chemical paint removing method mainly uses chemical reagents to cause environmental pollution, is unfavorable for local cleaning, is easy to damage a substrate, has long time and low efficiency for cleaning, and has corrosion or easy volatilization of the chemical reagents and a certain influence on the health of a human body. The physical paint removal method is extremely easy to damage the substrate, the mechanical paint removal method has large noise, large labor intensity and unsatisfactory cleaning effect. The color-coated plate paint consists of four parts, namely resin, pigment, solvent and assistant.
(1) Resin composition
The resin, the film forming material, is the most predominant component and base in the coating, also known as the binder, which is the primary factor in determining the properties of the coating film. The resins required as film-forming materials are relatively stable during the shelf life of the coating without significant physical and chemical changes: in the film formation, the film can be rapidly cured under a predetermined condition. Resins are various, and resins commonly used in coil coating materials include acrylic resins, epoxy resins, polyester resins, and polyurethane. The physical and chemical properties, weather resistance and corrosion resistance of different resins are different.
(2) Pigment
Pigments are used in combination with resins, and the main effect of the pigments in the paint is to color the coating film, and the different proportions of pigments affect the hardness, glossiness, corrosion resistance and the like of the coating film.
(3) Solvent(s)
Solvents are an important component of liquid coatings and are volatile components during the drying process of the coating. The viscosity of the coating is also generally adjusted with solvents, which are known as diluents.
The solvents have a great influence on the manufacture, storage, application, film formation and film formation quality of the coating.
(4) Auxiliary agent
Auxiliaries are small amounts of additives which are added to improve the properties of the coating. The auxiliary agent is used in the paint in a very small amount, but has remarkable effect, and can improve the performances of the paint and the coating film, improve the drying time, prevent the occurrence of pathological conditions of the coating film and the like. The auxiliary agent has various kinds, and includes drier, curing agent, leveling agent, defoaming agent, matting agent, stabilizer, etc.
In coil coating, resin and pigment play a role in durability, and most commonly used top coats are polyester, silicon modified polyester, high-durability polyester, polyvinylidene fluoride and the like.
A) The PE paint is a Polyethylene (PE) based paint, has physical performance parameters generally similar to those of polyethylene, has good adhesive force, rich color, wide range in the aspects of formability and outdoor durability, medium chemical resistance and low cost, and is widely applied to color-coated sheet primer. The following are several typical physical performance parameters and quantization indices of PE paint:
optical absorption coefficient: the PE paint has a strong absorption effect on light rays in a visible light wave band, and the optical absorption coefficient of the PE paint is generally between 0.01 and 0.1 in a wavelength range of 400-700 nm.
Thermal conductivity: PE paints have a relatively low thermal conductivity, typically between 0.1 and 0.4W/(mK).
Modulus of elasticity: the elastic modulus of PE paints is generally between 100 and 500 MPa.
Melting point: the melting point of PE paints is generally between 100 and 130 ℃, but is practically related to the specific polyethylene materials and additives.
Specific heat capacity: the specific heat capacity of PE paints is generally between 1700 and 2300J/(kg.K).
B) The high-durability polyester paint (HDP) is a high-density polyethylene-based paint, and a monomer containing cyclohexane structure is adopted in synthesis to balance flexibility, weather resistance and cost of resin, and an aromatic-free polyalcohol and polybasic acid are adopted to reduce absorption of the resin to UV light, so that high weather resistance of the paint is achieved. Ultraviolet absorbers and Hindered Amines (HALS) are added to the paint formulation to improve the weatherability of the paint film. The HDP adopts high molecular weight resin, so that the polymer has few branched chains, stable bond energy and difficult photolysis, thus being difficult to pulverize and reduce gloss; the inorganic ceramic pigment is not easy to fade in sunlight, and can provide 15 years of coating quality assurance. The following are several typical physical performance parameters and quantization indices for HDPE paints:
Optical absorption coefficient: the HDPE paint has a strong absorption effect on light rays in a visible light wave band, and the optical absorption coefficient of the HDPE paint is generally between 0.01 and 0.1 in the wavelength range of 400-700 nm.
Thermal conductivity: HDPE paints have a relatively low thermal conductivity, typically between 0.3 and 0.5W/(mK).
Modulus of elasticity: the modulus of elasticity of HDPE paints is generally between 500 and 1000 MPa.
Melting point: HDPE paints generally have melting points between 120 and 135 ℃ but are actually related to the specific HDPE materials and additives.
Specific heat capacity: the specific heat capacity of HDPE paints is generally between 1900 and 2200J/(kg.K).
C) The PVDF fluorocarbon coating is polyvinylidene fluoride, the electronegativity of the largest fluorine atom forms very stable fluorocarbon bond, and the PVDF has extraordinary stability, unique ultraviolet photolysis resistance, excellent insulating property and mechanical property, and the fluorocarbon coating is different from most organic pigments which are degraded or structurally destroyed to fade under the action of sunlight and atmosphere, and the inorganic components of the fluorocarbon coating are very stable in chemical property through calcining the metal oxide ceramic pigment at high temperature, so that the quality assurance of the coating for 20 years can be provided. PVDF paint film related parameters:
Optical absorption coefficient: typically between 0.1 and 1, depending on factors such as coating color, optical wavelength, and material formulation;
Thermal conductivity: typically in the range of 0.1 to 0.3W/(m×k), also varies depending on the material composition and the properties of the filler;
Modulus of elasticity: typically 2000-3000MPa, and possibly up to more than 5000 MPa. The higher the modulus of elasticity, the less likely the material will deform under force.
With the use of laser technology, the product is used for removing the paint by laser, so that various inherent defects of the traditional cleaning method can be avoided, but the method is limited by the variety of the paint types of the color-coated plates and the complexity of the components of the color-coated plates, so that the difficulty of the laser paint removal method is increased. The conventional fiber laser paint removing method is extremely easy to damage the substrate to influence the subsequent thickness measurement; the carbon dioxide light source reacts with the nonmetallic material due to the extremely low absorptivity of the metallic material due to the wavelength of 10.6um, but a large amount of heat is released during the reaction to deform the substrate, and a large amount of residues are generated to adhere to the surface of the substrate to influence the subsequent thickness measurement. Therefore, how to remove paint without damaging the substrate surface, and its quality assessment method are key to the method.
Disclosure of Invention
Aiming at the problems that the chemical removal method of paint films of different color-coated plates mainly uses chemical reagents to cause environmental pollution, is unfavorable for local cleaning, is easy to damage a substrate, has long time required for cleaning and low efficiency, and simultaneously has corrosion or easy volatilization of the chemical reagents and a certain degree of influence on the health of human bodies; the invention provides a method, a device, equipment and a medium for nondestructive laser paint removal of a cold-rolled color-coated plate substrate, which aims at utilizing carbon dioxide laser to perform nondestructive paint removal.
In order to achieve the above object, according to one aspect of the present invention, there is provided a method for non-damaging laser paint removal of a cold-rolled color coated sheet substrate, comprising:
Obtaining information of a cold-rolled sheet color coated sheet and color difference of a substrate, and detecting thickness of the sheet containing a paint film, wherein the substrate of the cold-rolled sheet color coated sheet refers to a galvanized steel product with thickness less than 3mm, which is rolled at a recrystallization temperature, wherein the content of C is less than or equal to 0.3%, the content of Si is less than or equal to 1.0%, the content of Mn is less than or equal to 3.0%, the content of P is less than or equal to 0.040%, the content of S is less than or equal to 0.025%, the content of Alt is more than or equal to 0.005%, and a plurality of trace alloy elements are added; the galvanized sheet is divided into hot-dip aluminum zinc magnesium sheet, hot-dip aluminum zinc sheet and hot-dip ordinary zinc sheet according to the plating types; the surface paint film coatings are respectively as follows: pretreatment of phosphate or composite oxide films; polyester, polyurethane, epoxy primer layers; finish paint with different paint types and colors and a primer layer;
Decomposing the cold-rolled sheet color-coated sheet into RGB three primary colors, determining laser processing parameters according to the cold-rolled sheet color-coated sheet information, and obtaining a paint removal model, wherein the screened laser processing parameters are as follows: selecting a carbon dioxide laser; according to the paint film type test, the paint film can be removed without generating excessive heat accumulation or burning marks, the laser average power, the laser focus lap joint distance and the laser paint removal speed range are screened, and according to the number of times of laser processing and the scanning direction of the paint film which can be completely removed;
controlling laser paint removal by calling a paint removal model, and detecting chromaticity difference between the RGB information of the panel surface and the RGB of the substrate;
If the chromaticity difference is smaller than a preset threshold value, finishing paint removal, and determining the thickness of a paint film;
and if the chromaticity difference is not smaller than the preset threshold value, the paint removing model is readjusted, laser processing parameters are adjusted, and laser paint removing is controlled.
In some alternative embodiments, the determining the laser processing parameters includes:
Grouping test samples, and processing the samples of the same group of test samples by using a laser paint removing method and a traditional artificial chemical paint removing method respectively, wherein sampling positions of the laser paint removing method and the traditional artificial chemical paint removing method are in one-to-one correspondence, different laser processing parameter combinations are configured during laser processing, and the parameter combination design proposal adopts test design, and the parameter combination is not less than 27 times;
For test samples of the traditional artificial chemical paint removal method and the laser paint removal method, the same measuring scheme is adopted for measuring the paint film thickness before and after paint removal in the same measuring tool of the same measurer in the same time period;
The method comprises the steps of taking a paint film thickness result of a traditional artificial chemical paint removal method processing test sample as a control group, and measuring the residual thickness of a paint film after laser paint removal, so as to realize the measurement of the relative deviation of the result of the test sample under different laser processing parameter combinations relative to the result of the test sample processed by the traditional artificial chemical method at the same position under the condition that no damage is caused to a substrate;
classifying the color-coated original substrate according to the main element content of a hot galvanizing layer, wherein the color-coated original substrate comprises, but is not limited to, about 55% of aluminum, 41% of zinc and 2.0% of magnesium of a hot dip aluminum zinc-magnesium plate, about 55% of aluminum and 43% of zinc of the hot dip aluminum-zinc plate, and about 0.25% of aluminum and 99.5% of zinc of a hot dip plain zinc plate;
The surface spangles and marks of the substrate are different in appearance and characteristic color difference, deep learning is carried out through a visual recognition technology, and a corresponding standard color difference database is established; the color difference results are affected by different paint film types and thickness residues, and the judgment of whether the paint removal of the plate surface is thorough is realized by analyzing the color difference differences;
And taking the relative deviation of paint film results as a dependent variable, taking different laser processing parameters as independent variables, and adopting a least square method to establish a mathematical model.
In some alternative embodiments, the relative deviation of the paint film thickness results is set, and the desired weight of the corresponding index is set according to the product requirement, if the desired weight is set to 1, the desired weight is not set to 0, and other performance weight requirements are set to any value between 0 and 1.
In some alternative embodiments, if the mathematical model R 2 for the dependent variable with the desired weight ∈0.8 is below 0.8, the mathematical model is re-built and other potential independent variables that may be ignored are considered; and then solving an optimal solution for the digital model to obtain an optimal independent variable level combination.
In some alternative embodiments, modeling the relative deviation of the laser machining parameters from the paint film thickness results includes:
Fitting a mathematical model by adopting a multiple linear regression method, and selecting a second-order model to fit the paint film thickness, wherein the basic form is as follows: Epsilon is a normal random error; n is the number of influence factors of the test; beta i and beta ii are the first order offset coefficient and the second order offset coefficient, respectively; beta ij is the interaction coefficient and alpha 0 represents a constant.
In some alternative embodiments, for a general polyester paint film, the average laser power of the carbon dioxide laser ranges from 20W to 100W, the laser focus overlap distance is 0.03-0.12mm, the laser paint removal speed is 1000-4000mm/min, and the laser processing times are 2-6 times;
aiming at a silicon modified polyester and high-durability polyester paint film, the average laser power range of a carbon dioxide laser is 50-150W, the overlap joint distance of laser focus is 0.03-0.12mm, the laser paint stripping speed is 1000-4000mm/min, and the laser processing times are 2-6 times;
aiming at a polyvinylidene fluoride paint film, the average laser power range of a carbon dioxide laser is 50-150W, the overlap joint distance of a laser focus is 0.01-0.1mm, the laser paint stripping speed is 500-3000mm/min, and the laser processing times are 2-6 times.
According to another aspect of the present invention, there is provided a non-damaging laser paint removing device for a cold-rolled color-coated board substrate, comprising:
The sample information interaction module is used for acquiring information of the cold-rolled sheet color-coated sheet and color difference of a substrate and detecting the thickness of the sheet containing a paint film, wherein the substrate of the cold-rolled sheet color-coated sheet is a galvanized steel product with the thickness of less than 3mm, the C content of the galvanized steel product is less than or equal to 0.3%, the Si content of the galvanized steel product is less than or equal to 1.0%, the Mn content of the galvanized steel product is less than or equal to 3.0%, the P content of the galvanized steel product is less than or equal to 0.040%, the S content of the galvanized steel product is less than or equal to 0.025%, the Alt content of the galvanized steel product is more than or equal to 0.005% and a plurality of trace alloy elements are added; the galvanized sheet is divided into hot-dip aluminum zinc magnesium sheet, hot-dip aluminum zinc sheet and hot-dip ordinary zinc sheet according to the plating types; the surface paint film coatings are respectively as follows: pretreatment of phosphate or composite oxide films; polyester, polyurethane, epoxy primer layers; finish paint with different paint types and colors and a primer layer;
the laser paint removing module is used for decomposing the cold-rolled sheet color-coated sheet into RGB three primary colors, determining laser processing parameters by the cold-rolled sheet color-coated sheet information to obtain a paint removing model, and controlling laser paint removing by calling the paint removing model, wherein the screened laser processing parameters are as follows: selecting a carbon dioxide laser; according to the paint film type test, the paint film can be removed without generating excessive heat accumulation or burning marks, the laser average power, the laser focus lap joint distance and the laser paint removal speed range are screened, and according to the number of times of laser processing and the scanning direction of the paint film which can be completely removed;
The image detection sample module is used for detecting the chromaticity difference between the panel RGB information and the substrate RGB;
The plate thickness measuring module is used for finishing paint removal and determining the thickness of a paint film when the chromaticity difference is smaller than a preset threshold value; and when the chromaticity difference is not smaller than a preset threshold value, the paint removing model is readjusted, laser processing parameters are adjusted, and laser paint removing is controlled.
In some alternative embodiments, the determining the laser processing parameters includes:
Grouping test samples, and processing the samples of the same group of test samples by using a laser paint removing method and a traditional artificial chemical paint removing method respectively, wherein sampling positions of the laser paint removing method and the traditional artificial chemical paint removing method are in one-to-one correspondence, different laser processing parameter combinations are configured during laser processing, and the parameter combination design proposal adopts test design, and the parameter combination is not less than 27 times;
For test samples of the traditional artificial chemical paint removal method and the laser paint removal method, the same measuring scheme is adopted for measuring the paint film thickness before and after paint removal in the same measuring tool of the same measurer in the same time period;
The method comprises the steps of taking a paint film thickness result of a traditional artificial chemical paint removal method processing test sample as a control group, and measuring the residual thickness of a paint film after laser paint removal, so as to realize the measurement of the relative deviation of the result of the test sample under different laser processing parameter combinations relative to the result of the test sample processed by the traditional artificial chemical method at the same position under the condition that no damage is caused to a substrate;
classifying the color-coated original substrate according to the main element content of a hot galvanizing layer, wherein the color-coated original substrate comprises, but is not limited to, about 55% of aluminum, 41% of zinc and 2.0% of magnesium of a hot dip aluminum zinc-magnesium plate, about 55% of aluminum and 43% of zinc of the hot dip aluminum-zinc plate, and about 0.25% of aluminum and 99.5% of zinc of a hot dip plain zinc plate;
The surface spangles and marks of the substrate are different in appearance and characteristic color difference, deep learning is carried out through a visual recognition technology, and a corresponding standard color difference database is established; the color difference results are affected by different paint film types and thickness residues, and the judgment of whether the paint removal of the plate surface is thorough is realized by analyzing the color difference differences;
And taking the relative deviation of paint film results as a dependent variable, taking different laser processing parameters as independent variables, and adopting a least square method to establish a mathematical model.
According to another aspect of the present invention, there is provided an electronic apparatus including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any one of the methods described above when the computer program is executed.
According to another aspect of the present invention there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:
1. The carbon dioxide laser nondestructive paint removal processing technology of the cold-rolled color-coated plate paint film is designed and developed, a mathematical model of laser processing parameters and paint film thickness is established, and a laser processing parameter combination corresponding to common paint film colors is recommended, so that the traditional physical or chemical paint removal technology can be effectively replaced, and the environmental pollution and human injury risks caused by the traditional physical or chemical paint removal technology are avoided;
2. shortens the processing period of paint film paint removal of the cold-rolled color-coated plate, improves the production efficiency, is easy to combine with industry 4.0, and promotes the improvement of the automation level of the industry.
Drawings
FIG. 1 is a schematic flow chart of a laser paint removal control method for a sea blue PE paint film, which is provided by the embodiment of the invention;
fig. 2 is a schematic flow chart of a control method for laser paint removal of an HDP paint film of a Bao-steel blue, which is provided by the embodiment of the invention;
Fig. 3 is a schematic flow chart of a laser paint removal control method for a silver gray PVDF paint film provided by the embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The invention provides a sampling and parameter range of a nondestructive laser paint removing method for a common polyester paint film substrate of a cold-rolled color-coated plate, which comprises the following operation steps:
in a first aspect, the embodiment of the invention provides a method for removing a paint film of a cold-rolled color-coated sheet by a carbon dioxide laser non-destructive substrate paint removal method, which specifically comprises the following steps:
1) The color-coated sheet of the cold-rolled sheet mainly comprises a galvanized steel product with the thickness of less than 3mm, wherein the galvanized steel product is rolled at the recrystallization temperature, the C content is generally less than or equal to 0.3 percent, the Si content is generally less than or equal to 1.0 percent, the Mn content is generally less than or equal to 3.0 percent, the P content is generally less than or equal to 0.040 percent, the S content is generally less than or equal to 0.025 percent, the Alt content is generally more than or equal to 0.005 percent, and trace alloying elements can be added; the galvanized sheet is divided into a hot dip aluminum zinc magnesium sheet (AM sheet), a hot dip aluminum zinc sheet (GL), a hot dip common zinc sheet (GI sheet) and the like according to plating types; the surface paint film coatings are respectively as follows: pretreatment of phosphate or composite oxide films; polyester, polyurethane, epoxy primer layers; finish paint with different paint types and colors and a primer layer;
2) When the laser processing technology is adopted for processing, proper laser processing parameters are determined, and the screening parameters comprise: laser type, laser intensity, laser average power, laser focal radius, laser frequency, peak power, laser intensity attenuation coefficient, paint removal speed, laser focal overlap distance, paint removal times, laser processing atmosphere and the like;
3) The key factors after screening by the invention are as follows: a carbon dioxide laser which is not damaged and has extremely low absorption reaction with a metal material is selected for the metal substrate; according to the paint film type test, paint films can be removed without generating excessive heat accumulation or burning marks, the laser average power, the laser focus lap joint distance and the laser paint removal speed range are screened, and according to the number of times of laser processing and the scanning direction, which can completely remove the paint films, the paint films can be screened.
4) The implementation of the invention recommends selecting a carbon dioxide laser, aiming at a common polyester paint film (PE), the average laser power range is 20-100W, the laser focus overlap joint distance is 0.03-0.12mm, the laser paint removal speed is 1000-4000mm/min, and the laser processing times are 2-6 times; aiming at silicon modified polyester and high-durability polyester paint films, the average laser power range is 50-150W, the overlap joint distance of laser focus is 0.03-0.12mm, the laser paint stripping speed is 1000-4000mm/min, and the laser processing times are 2-6 times; aiming at the polyvinylidene fluoride paint film, the average laser power range is 50-150W, the laser focus overlap joint distance is 0.01-0.1mm, the laser paint stripping speed is 500-3000mm/min, and the laser processing times are 2-6 times.
In a second aspect, the invention provides a method for determining laser processing parameters of removing a paint film of a cold-rolled color-coated sheet by using a non-damage laser paint removing method for a cold-rolled color-coated sheet substrate, which specifically comprises the following steps:
1) Firstly grouping samples according to the color types of common polyester, silicon modified polyester, high-durability polyester and polyvinylidene fluoride finish paint layers, the types of substrate plating layers and the like;
2) For samples in the same group, a laser paint removing method and a traditional artificial chemical paint removing method are respectively used for processing test samples, and sampling positions of the laser processing method and the traditional artificial chemical method are in one-to-one correspondence. Meanwhile, during laser processing, different laser processing parameter combinations are configured, and the parameter combination design proposal adopts test design, and the parameter combination is not less than 27 times;
3) For test samples of the traditional artificial chemical method and the laser paint removing method, the same measuring scheme is adopted by the same measuring tool of the same surveyor in the same time period to measure the thickness of a paint film before and after paint removal;
4) Paint film thickness results of a sample processed by a traditional artificial chemistry method are used as a control group, and the laser damage threshold value 4 part of GBT16601.42017 laser and laser related equipment is respectively calculated and met: the surface morphology after processing is analyzed by an electron microscope in the inspection, detection and measurement, and the surface is not damaged by means of a roughness meter for testing roughness indexes of the processed surface and the original substrate; the residual condition of paint on the surface after paint removal is subjected to glow analysis, and the residual thickness of a paint film after laser paint removal is measured by a metallographic phase, DJH drilling technology and an artificial chemical agent corrosion method, so that the relative deviation of the result of a sample under different laser processing parameter combinations relative to the result of processing the sample by the traditional artificial chemical method at the same part is measured under the condition that the substrate is not damaged; the further color-coated original substrate is classified according to the main element content of a hot dip galvanizing layer, and comprises, but is not limited to, about 55% of aluminum, 41% of zinc content and 2.0% of magnesium content of a hot dip aluminized zinc-magnesium plate (AM plate), about 55% of aluminum and 43% of zinc content of a hot dip aluminized zinc-zinc plate (GL plate), about 0.25% of aluminum and 99.5% of zinc content of a hot dip plain zinc plate (GI plate), and the surface spangle morphology and trace of the substrate show characteristic color differences due to different zinc liquid components, and deep learning is carried out through a visual recognition technology to establish a corresponding standard color difference database; the color difference results are affected by different paint film types and thickness residues, and the judgment of whether the paint removal of the plate surface is thorough is realized by analyzing the color difference differences;
5) Taking the relative deviation of paint film results as a dependent variable, taking different laser processing parameters as independent variables, and adopting a least square method to establish a mathematical model;
6) The relative deviation of the paint film thickness result is generally F less than or equal to 0.5um, and the expected weight of the corresponding index can be set according to the product requirement because of the mathematical model of the multiple dependent variables, if the relative deviation is required to be set to 1, the relative deviation is not required to be set to 0, and other performance weight requirements can be set to any value between 0 and 1.
7) If the mathematical model R 2 for the dependent variable with the desired weight ∈0.8 is below 0.8, the model is re-modeled and other potential independent variables that may be ignored are considered;
8) And solving an optimal solution for the digital model to obtain an optimal independent variable level combination.
In a third aspect, the present invention provides a set of laser processing parameters by adopting a non-damage laser paint removal method for a cold-rolled color-coated board substrate, which specifically includes:
1) Establishing a paint removal processing parameter table: coding according to the screening of the parameters of each laser paint removal, as shown in table 1;
TABLE 1
| Sequence number | Power of | Speed of speed | Overlap joint | Number of times |
| 1 | 1 | 0 | 0 | -1 |
| 2 | 0 | 1 | -1 | 0 |
| 3 | -1 | 0 | 1 | 0 |
| 4 | 0 | 0 | 0 | 0 |
| 5 | -1 | 0 | 0 | 1 |
| 6 | 0 | 1 | 0 | -1 |
| 7 | -1 | 0 | -1 | 0 |
| 8 | 1 | 1 | 0 | 0 |
| 9 | 0 | 1 | 1 | 0 |
| 10 | 0 | -1 | 0 | 1 |
| 11 | -1 | -1 | 0 | 0 |
| 12 | 0 | 0 | 0 | 0 |
| 13 | 0 | -1 | -1 | 0 |
| 14 | 0 | 0 | -1 | 1 |
| 15 | 1 | -1 | 0 | 0 |
| 16 | 0 | 0 | 1 | -1 |
| 17 | 0 | 0 | 1 | 1 |
| 18 | 0 | 1 | 0 | 1 |
| 19 | 0 | -1 | 0 | -1 |
| 20 | 1 | 0 | 1 | 0 |
| 21 | -1 | 1 | 0 | 0 |
| 22 | -1 | 0 | 0 | -1 |
| 23 | 0 | 0 | 0 | 0 |
| 24 | 0 | -1 | 1 | 0 |
| 25 | 1 | 0 | 0 | 1 |
| 26 | 1 | 0 | -1 | 0 |
| 27 | 0 | 0 | -1 | -1 |
2) Establishing a mathematical model of the relative deviation of the laser processing parameters and the paint film thickness results:
Fitting the model by adopting a multiple linear regression method, and selecting a second-order model to fit the thickness of the paint film, wherein the basic form is as follows:
Wherein epsilon is a normal random error; n is the number of influence factors of the test; beta i and beta ii are the first order offset coefficient and the second order offset coefficient, respectively; beta ij is the interaction coefficient. A predictive model is established by adopting a stepwise regression method, each P < alpha > is selected into the model, each P > alpha is eliminated one by one (alpha in=0.1, alpha out=0.15),
3) As shown in fig. 1, the test Bao Steel blue general polyester paint film finally obtained model:
F=0.0024+0.0071 ((power-75)/25) +0.00058 ((speed-1750)/1250) +0.00041) ((lap-0.055)/0.045) +(-0.00008) ((number-4)/2) +((((power-75)/25) (speed-1750))/1250) 0.005+ ((((power-75)/25) (lap-0.055))/0.045) 0.00275+ (((speed-1750)/1250) (number-4))/2) 0.0015+ ((((power-75)/25) (power-75))/25) 0060.3, further deriving laser paint removal optimum parameters;
the general polyester paint film parameters for laser paint removal for common colors are recommended as shown in table 2:
TABLE 2
4) As shown in fig. 2, the Bao-steel blue high-durability polyester paint film finally obtained model is:
F=0.00394+0.0105 + (-0.00616) speed+ (-0.010166) lap+ 0.00683 times+power (power 0.0161) +power times lap (-0.01975) +lap (lap 0.0173) +lap times (-0.01775), further deriving the optimum parameters for laser paint removal;
The common color high durability polyester paint film corresponding laser paint removal parameters are recommended as shown in table 3:
TABLE 3 Table 3
5) As shown in fig. 3, the silver gray polyvinylidene fluoride paint film finally obtained model is:
f=0.00686+0.0121 + (-0.003) speed + -0.0112 lap+ 0.00458 times + power 0.00813+ lap 0.0147+ speed 0.00625+ lap times (-0.0165), further deriving laser paint removal optimum parameters;
the parameters of the common color polyvinylidene fluoride paint film corresponding to the laser paint removal are recommended as shown in table 4:
TABLE 4 Table 4
In a fourth aspect, the embodiment of the invention provides an automatic laser paint removal measuring device which is applied to the detection of the thickness of a paint film of a processed cold-rolled color-coated plate. Corresponding paint removal laser models and image detection color difference calculation thresholds are set according to different paint film types, so that detection of different paint film thicknesses can be realized.
In a fifth aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed implements the steps of the processing parameter determining method provided in the first aspect or the sample processing method provided in the second aspect.
The present application also provides a computer readable storage medium such as a flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., having stored thereon a computer program which when executed by a processor implements the steps of the processing parameter determination method provided in the first aspect or the sample processing method provided in the second aspect.
It should be noted that each step/component described in the present application may be split into more steps/components, or two or more steps/components or part of operations of the steps/components may be combined into new steps/components, according to the implementation needs, to achieve the object of the present application.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The non-damage laser paint removing method for the cold-rolled color-coated plate substrate is characterized by comprising the following steps of:
Obtaining information of a cold-rolled sheet color coated sheet and color difference of a substrate, and detecting thickness of the sheet containing a paint film, wherein the substrate of the cold-rolled sheet color coated sheet refers to a galvanized steel product with thickness less than 3mm, which is rolled at a recrystallization temperature, wherein the content of C is less than or equal to 0.3%, the content of Si is less than or equal to 1.0%, the content of Mn is less than or equal to 3.0%, the content of P is less than or equal to 0.040%, the content of S is less than or equal to 0.025%, the content of Alt is more than or equal to 0.005%, and a plurality of trace alloy elements are added; the galvanized sheet is divided into hot-dip aluminum zinc magnesium sheet, hot-dip aluminum zinc sheet and hot-dip ordinary zinc sheet according to the plating types; the surface paint film coatings are respectively as follows: pretreatment of phosphate or composite oxide films; polyester, polyurethane, epoxy primer layers; finish paint with different paint types and colors and a primer layer;
Decomposing the cold-rolled sheet color-coated sheet into RGB three primary colors, determining laser processing parameters according to the cold-rolled sheet color-coated sheet information, and obtaining a paint removal model, wherein the screened laser processing parameters are as follows: selecting a carbon dioxide laser; according to the paint film type test, the paint film can be removed without generating excessive heat accumulation or burning marks, the laser average power, the laser focus lap joint distance and the laser paint removal speed range are screened, and according to the number of times of laser processing and the scanning direction of the paint film which can be completely removed;
controlling laser paint removal by calling a paint removal model, and detecting chromaticity difference between the RGB information of the panel surface and the RGB of the substrate;
If the chromaticity difference is smaller than a preset threshold value, finishing paint removal, and determining the thickness of a paint film;
and if the chromaticity difference is not smaller than the preset threshold value, the paint removing model is readjusted, laser processing parameters are adjusted, and laser paint removing is controlled.
2. The method of claim 1, wherein the determining laser processing parameters comprises:
Grouping test samples, and processing the samples of the same group of test samples by using a laser paint removing method and a traditional artificial chemical paint removing method respectively, wherein sampling positions of the laser paint removing method and the traditional artificial chemical paint removing method are in one-to-one correspondence, different laser processing parameter combinations are configured during laser processing, and the parameter combination design proposal adopts test design, and the parameter combination is not less than 27 times;
For test samples of the traditional artificial chemical paint removal method and the laser paint removal method, the same measuring scheme is adopted for measuring the paint film thickness before and after paint removal in the same measuring tool of the same measurer in the same time period;
The method comprises the steps of taking a paint film thickness result of a traditional artificial chemical paint removal method processing test sample as a control group, and measuring the residual thickness of a paint film after laser paint removal, so as to realize the measurement of the relative deviation of the result of the test sample under different laser processing parameter combinations relative to the result of the test sample processed by the traditional artificial chemical method at the same position under the condition that no damage is caused to a substrate;
classifying the color-coated original substrate according to the main element content of a hot galvanizing layer, wherein the color-coated original substrate comprises, but is not limited to, about 55% of aluminum, 41% of zinc and 2.0% of magnesium of a hot dip aluminum zinc-magnesium plate, about 55% of aluminum and 43% of zinc of the hot dip aluminum-zinc plate, and about 0.25% of aluminum and 99.5% of zinc of a hot dip plain zinc plate;
The surface spangles and marks of the substrate are different in appearance and characteristic color difference, deep learning is carried out through a visual recognition technology, and a corresponding standard color difference database is established; the color difference results are affected by different paint film types and thickness residues, and the judgment of whether the paint removal of the plate surface is thorough is realized by analyzing the color difference differences;
And taking the relative deviation of paint film results as a dependent variable, taking different laser processing parameters as independent variables, and adopting a least square method to establish a mathematical model.
3. A method according to claim 2, characterized in that the relative deviation of the paint film thickness results is set and the desired weight of the corresponding index is set according to the product requirements, if a setting of 1 has to be met, a setting of 0 is not required, and the other performance weight requirements are set to any value between 0 and 1.
4. A method according to claim 3, wherein if the mathematical model R 2 for the dependent variable with the desired weight ∈0.8 is below 0.8, the mathematical model is re-built and other potential independent variables that may be ignored are considered; and then solving an optimal solution for the digital model to obtain an optimal independent variable level combination.
5. The method of any one of claims 1 to 4, wherein modeling the relative deviation of the laser machining parameters from the paint film thickness results comprises:
Fitting a mathematical model by adopting a multiple linear regression method, and selecting a second-order model to fit the paint film thickness, wherein the basic form is as follows: Epsilon is a normal random error; n is the number of influence factors of the test; beta i and beta ii are the first order offset coefficient and the second order offset coefficient, respectively; beta ij is the interaction coefficient and alpha 0 represents a constant.
6. The method according to claim 5, wherein for a general polyester paint film, the average laser power of the carbon dioxide laser ranges from 20W to 100W, the laser focus overlap distance is 0.03 mm to 0.12mm, the laser paint removal speed is 1000 mm/min to 4000mm/min, and the laser processing times are 2 times to 6 times;
aiming at a silicon modified polyester and high-durability polyester paint film, the average laser power range of a carbon dioxide laser is 50-150W, the overlap joint distance of laser focus is 0.03-0.12mm, the laser paint stripping speed is 1000-4000mm/min, and the laser processing times are 2-6 times;
aiming at a polyvinylidene fluoride paint film, the average laser power range of a carbon dioxide laser is 50-150W, the overlap joint distance of a laser focus is 0.01-0.1mm, the laser paint stripping speed is 500-3000mm/min, and the laser processing times are 2-6 times.
7. The utility model provides a cold rolling color-coated sheet base plate does not harm laser paint removal device which characterized in that includes:
The sample information interaction module is used for acquiring information of the cold-rolled sheet color-coated sheet and color difference of a substrate and detecting the thickness of the sheet containing a paint film, wherein the substrate of the cold-rolled sheet color-coated sheet is a galvanized steel product with the thickness of less than 3mm, the C content of the galvanized steel product is less than or equal to 0.3%, the Si content of the galvanized steel product is less than or equal to 1.0%, the Mn content of the galvanized steel product is less than or equal to 3.0%, the P content of the galvanized steel product is less than or equal to 0.040%, the S content of the galvanized steel product is less than or equal to 0.025%, the Alt content of the galvanized steel product is more than or equal to 0.005% and a plurality of trace alloy elements are added; the galvanized sheet is divided into hot-dip aluminum zinc magnesium sheet, hot-dip aluminum zinc sheet and hot-dip ordinary zinc sheet according to the plating types; the surface paint film coatings are respectively as follows: pretreatment of phosphate or composite oxide films; polyester, polyurethane, epoxy primer layers; finish paint with different paint types and colors and a primer layer;
the laser paint removing module is used for decomposing the cold-rolled sheet color-coated sheet into RGB three primary colors, determining laser processing parameters by the cold-rolled sheet color-coated sheet information to obtain a paint removing model, and controlling laser paint removing by calling the paint removing model, wherein the screened laser processing parameters are as follows: selecting a carbon dioxide laser; according to the paint film type test, the paint film can be removed without generating excessive heat accumulation or burning marks, the laser average power, the laser focus lap joint distance and the laser paint removal speed range are screened, and according to the number of times of laser processing and the scanning direction of the paint film which can be completely removed;
The image detection sample module is used for detecting the chromaticity difference between the panel RGB information and the substrate RGB;
The plate thickness measuring module is used for finishing paint removal and determining the thickness of a paint film when the chromaticity difference is smaller than a preset threshold value; and when the chromaticity difference is not smaller than a preset threshold value, the paint removing model is readjusted, laser processing parameters are adjusted, and laser paint removing is controlled.
8. The apparatus of claim 7, wherein the determining laser processing parameters comprises:
Grouping test samples, and processing the samples of the same group of test samples by using a laser paint removing method and a traditional artificial chemical paint removing method respectively, wherein sampling positions of the laser paint removing method and the traditional artificial chemical paint removing method are in one-to-one correspondence, different laser processing parameter combinations are configured during laser processing, and the parameter combination design proposal adopts test design, and the parameter combination is not less than 27 times;
For test samples of the traditional artificial chemical paint removal method and the laser paint removal method, the same measuring scheme is adopted for measuring the paint film thickness before and after paint removal in the same measuring tool of the same measurer in the same time period;
The method comprises the steps of taking a paint film thickness result of a traditional artificial chemical paint removal method processing test sample as a control group, and measuring the residual thickness of a paint film after laser paint removal, so as to realize the measurement of the relative deviation of the result of the test sample under different laser processing parameter combinations relative to the result of the test sample processed by the traditional artificial chemical method at the same position under the condition that no damage is caused to a substrate;
classifying the color-coated original substrate according to the main element content of a hot galvanizing layer, wherein the color-coated original substrate comprises, but is not limited to, about 55% of aluminum, 41% of zinc and 2.0% of magnesium of a hot dip aluminum zinc-magnesium plate, about 55% of aluminum and 43% of zinc of the hot dip aluminum-zinc plate, and about 0.25% of aluminum and 99.5% of zinc of a hot dip plain zinc plate;
The surface spangles and marks of the substrate are different in appearance and characteristic color difference, deep learning is carried out through a visual recognition technology, and a corresponding standard color difference database is established; the color difference results are affected by different paint film types and thickness residues, and the judgment of whether the paint removal of the plate surface is thorough is realized by analyzing the color difference differences;
And taking the relative deviation of paint film results as a dependent variable, taking different laser processing parameters as independent variables, and adopting a least square method to establish a mathematical model.
9. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which processor implements the steps of the method according to any one of claims 1 to 6 when said computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 6.
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