CN114611322A - Corrosion simulation-based force-bearing quick-release lock anticorrosion coating optimization method - Google Patents

Corrosion simulation-based force-bearing quick-release lock anticorrosion coating optimization method Download PDF

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CN114611322A
CN114611322A CN202210309613.8A CN202210309613A CN114611322A CN 114611322 A CN114611322 A CN 114611322A CN 202210309613 A CN202210309613 A CN 202210309613A CN 114611322 A CN114611322 A CN 114611322A
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corrosion
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刘燕
李祥军
程全士
林忠亮
樊金桃
刘海涛
卢颖
齐增星
郑文斌
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Aerospace Precision Products Co Ltd
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Abstract

The invention provides a method for optimizing a force-bearing quick-release lock anticorrosive coating based on corrosion simulation, which comprises the following steps of: s1, selecting a research object, disassembling the assembly, observing a corrosion hot spot area, sampling the assemblies under different protective coatings to prepare a test article for the next electrochemical experiment; s2, measuring parameters of a test article required in the subsequent corrosion simulation process; s3, value assignment calculation, namely importing the parameters measured in the step S2 into corrosion simulation software, and carrying out atmospheric corrosion simulation on the component; s4, analyzing results, and comparing the simulation results of atmospheric corrosion and galvanic corrosion separately; and S5, outputting the result for comparison. The invention has the beneficial effects that: the method for optimizing the force-bearing quick-release anti-corrosion coating based on corrosion simulation is beneficial to improving the anti-corrosion capability of the aviation fastener and disclosing a corrosion risk area and a corrosion mechanism of the aviation fastener in the service process.

Description

Corrosion simulation-based force-bearing quick-release lock anticorrosion coating optimization method
Technical Field
The invention belongs to the technical field of corrosion simulation, and particularly relates to a method for optimizing a force-bearing quick-release lock anticorrosion coating based on corrosion simulation.
Background
The traditional corrosion research is mainly realized through experiments, and the defects are that the cost is high and the experiment time is long, especially the atmospheric corrosion experiment is always carried out by taking years as a unit, meanwhile, if various coating combinations are required to be respectively tested through the experiment method during the coating optimization, the cost is further increased, and the main cause of corrosion, such as atmospheric corrosion or galvanic corrosion, cannot be revealed through the experiments; meanwhile, when a corrosion experiment of the structural part is carried out, the corrosion product flows under the action of gravity, so that a corrosion risk area is difficult to accurately characterize.
Disclosure of Invention
In view of the above, the invention aims to provide a method for optimizing a force-bearing quick-release anti-corrosion coating based on corrosion simulation, which greatly reduces corrosion cost compared with the existing corrosion simulation experiment, and can observe the protection effects of different coatings in a short time by using software, thereby guiding the optimization of the corrosion protection mode of a fastener. Compared with a simple corrosion experiment, the cost is greatly reduced, and the material corrosion rule is more clearly revealed.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a force-bearing quick-release lock anticorrosion coating optimization method based on corrosion simulation comprises the following steps:
s1, selecting a research object, disassembling the assembly, observing a corrosion hot spot area, sampling the assemblies under different protective coatings to prepare a test article for the next electrochemical experiment;
s2, measuring parameters of a test article required in the subsequent corrosion simulation process;
s3, performing assignment calculation, namely importing the parameters measured in the step S2 into corrosion simulation software, performing atmospheric corrosion simulation on the components, performing galvanic sorting on corrosion potentials measured by an electrochemical experiment to determine the cathode and the anode in the fastener, and performing galvanic corrosion simulation on the fastener;
s4, analyzing results, namely comparing simulation results of atmospheric corrosion and galvanic corrosion independently, comparing corrosion speeds of different areas and corrosion hot spot areas, and comparing the corrosion speeds of the atmospheric corrosion and the galvanic corrosion;
s5, comparing output results, performing a salt spray test on the fastener, verifying the accuracy of simulation by comparing a corrosion simulation test result with the salt spray test, and further identifying a corrosion hot spot area to optimize protection modes under different coatings.
Further, in step S1, the method of preparing the test sample includes:
the working electrode is a cylinder with the diameter of 3mm, and the area of the working surface is 0.071cm2A copper wire is soldered to the back of the electrode to provide electrical contact, and the non-working surface of the electrode is sealed with phenolic and epoxy.
Further, in step S2, parameters of the test object required in the subsequent corrosion simulation process are measured through an electrochemical experiment by:
a1, adopting a three-electrode system to respectively measure the self-corrosion potential, the exchange current density and the Tafel polarization curve of the material of the fastener after the materials used by each part of the fastener are subjected to anodic oxidation + MoS2, passivation + MoS2, aluminum coating and zinc-nickel alloy electroplating corrosion prevention treatment;
a2, calculating the Tafel slope of the cathode and anode of various materials by using a Tafel curve extrapolation method;
a3, sequencing the self-corrosion potentials of the metals under different coatings.
Further, in step S2, the corrosion potentials of the metals under different coatings required for corrosion simulation are measured and subjected to galvanic sorting, and the exchange current density, the slope of the anode and cathode Tafel, the oxygen dissolution and diffusion parameters, and the thickness and conductivity of the thin liquid film formed in the atmospheric environment are measured.
Furthermore, between steps S2 and S3, the training model needs to be simplified, the main area used is the mesh partitioning module in COMSOL, the model is first subjected to ultrafine mesh partitioning after being imported, the area where the mesh fails to be drawn is observed, and the thin region and the tip portion in the three-dimensional model are removed according to the error command presented by the system and the symmetry of the three-dimensional model, so that the three-dimensional model is simplified.
Further, in step S3, the method for performing assignment calculation includes:
b1, importing the simplified three-dimensional model into software, and performing some initial definitions on the boundary of the model to facilitate subsequent selection;
b2, importing the basic parameters measured by electrochemistry, and importing the other needed parameters by consulting literature;
b3, selecting physical fields of atmospheric corrosion and galvanic corrosion respectively, and inputting required parameters, wherein the atmospheric corrosion adopts a current distribution shell, and the galvanic corrosion adopts secondary current distribution;
b4, subdividing the model grid, and selecting superfine to subdivide the whole model;
b5, researching and selecting the transient state with initialization, and solving the simulation.
Further, in step S4, the result analysis method includes: observing the simulation results of atmospheric corrosion and galvanic corrosion, observing whether the corrosion speed and the hot spot area are related to the basic corrosion potential of the material, whether the basic rule that the anode is dissolved in the corrosion with more negative potential is met, and then analyzing the magnitude of the atmospheric corrosion and the galvanic corrosion speed to judge which corrosion is more serious for the material damage.
Further, in step S5, the method for comparing the output result includes: and comparing the corrosion data output by simulation with the results of the salt spray experiment, observing the corrosion hot spot region by simulation, and further optimizing different protective coatings.
In a second aspect, the present disclosure provides an electronic device, including a processor and a memory, which is communicatively connected to the processor and is configured to store executable instructions of the processor, where the processor is configured to execute the method for optimizing a force-bearing quick-release lock anticorrosion coating based on corrosion simulation of the first aspect.
In a third aspect, the present invention discloses a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for optimizing the force-bearing quick-release lock anticorrosion coating based on corrosion simulation in the first aspect is implemented.
Compared with the prior art, the method for optimizing the force-bearing quick-release lock anticorrosion coating based on corrosion simulation has the following beneficial effects:
(1) the method for optimizing the force-bearing quick-release lock anticorrosion coating based on corrosion simulation is beneficial to improving the anticorrosion capability of the aviation fastener and disclosing a corrosion risk area and a corrosion mechanism of the aviation fastener in the service process;
(2) the method for optimizing the force-bearing quick-release lock anticorrosion coating based on corrosion simulation changes the method of completely selecting a corrosion protection mode through experiments in the past, takes corrosion simulation as a main part, reduces economic and time cost, and can be subsequently popularized to the aspect of corrosion protection research of other types of fasteners.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a preferred method for a force-bearing quick-release anti-corrosion coating based on corrosion simulation in the embodiment of the invention;
FIG. 2 is a graph of electrode potential VS versus reference potential for atmospheric corrosion simulation results in a specific embodiment;
FIG. 3 is a graph of the local current density of anodic dissolution reaction as a result of atmospheric corrosion simulation in accordance with an embodiment;
FIG. 4 is a graph of electrode potential VS reference potential for galvanic corrosion simulation results in a specific embodiment;
FIG. 5 is a graph of the local current density of anodic dissolution reaction as a result of galvanic corrosion simulation in accordance with an embodiment.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
The present embodiments will be described more fully hereinafter with reference to the accompanying drawings, in which some embodiments of the invention are shown. The following will make clear the details of the atmospheric corrosion and galvanic corrosion models, which are not intended to represent the rest of the cases.
Atmospheric corrosion model example:
the specific implementation steps are as follows:
s100, selecting a research object, disassembling the bearing quick release lock, observing a corrosion hot spot area, and sampling components under different protective coatings to prepare a test product for a next electrochemical experiment.
The method specifically comprises the following steps: the experimental article is mainly characterized in that metal containing different coatings is made into a metal electrode. The mode of making the metal electrode is as follows: the working electrode is a cylinder with the diameter of 3mm, and the area of the working surface is 0.071cm2. A copper wire is soldered to the back of the electrode to provide electrical contact. The non-working surfaces of the electrodes are sealed with phenolic and epoxy resins.
S200, electrochemical experiment measurement parameters: and measuring the corrosion potential, the exchange current density, the Tafel slope of the cathode and the anode, oxygen dissolution and diffusion parameters of metal under different coatings required by corrosion simulation, and the thickness and the conductivity of a thin liquid film formed in an atmospheric environment.
The method specifically comprises the following steps: a three-electrode system is adopted, and the self-corrosion potential, the exchange current density and the Tafel polarization curve of a fastener material are respectively measured after the electrodes made of the materials used by all parts of the fastener are subjected to anti-corrosion treatment such as anodic oxidation, MoS2 coating, passivation, MoS2 coating, aluminum coating, zinc-nickel alloy electroplating and the like.
And calculating the self-corrosion potential, the exchange current density and the anode and cathode Tafel slopes of the metal under different coatings by adopting a Tafel curve extrapolation method.
The oxygen content in three regions and the thickness of the thin liquid film formed in the atmospheric environment and the rate of oxygen dissolution and diffusion in the thin liquid film were measured, and the humidity over three years was measured and averaged.
S300, simplifying the model, wherein the mode of simplifying the model is different from the traditional method of directly simplifying the three-dimensional model into the two-dimensional model, and the complex three-dimensional model is simplified into the simpler three-dimensional model through the grid division function in the software, so that the simulation is more accurate and visual.
The method specifically comprises the following steps: the method comprises the steps of leading a model into COMSOL, utilizing a meshing module in software, firstly, carrying out free tetrahedral meshing on geometry, selecting extremely fine size, observing a place where the mesh drawing fails, searching a region where the mesh drawing fails due to the assembly relation, a thin region and a tip part in the model according to the prompt of the software, removing the tip part and the thin region in the model according to the symmetry of the three-dimensional model, and changing the three-dimensional model as little as possible to ensure that the simulation accuracy is higher.
S400, carrying out assignment calculation, importing the data measured by electrochemistry into COMSOL, and simulating atmospheric corrosion of the component;
the method specifically comprises the following steps: s401, the simplified three-dimensional model is imported into software, the boundary of the model is subjected to primary definition in a mode of display in selection, and a same kind of coating metal material domain is selected and defined as an external boundary in the domain for subsequent application.
S402, introducing parameters such as electrochemical parameters, oxygen diffusion and diffusion parameters, thickness and conductivity of the thin liquid film, humidity and the like measured by an electrochemical experiment.
And S403, selecting a physical field, wherein the physical field of atmospheric corrosion is a current distribution shell. The research control equation is as follows:
T(Sil)=Ql
il=-σlTφl
wherein il(unit: A/m2) is the electrolyte current density vector, S (unit: m) is the electrolyte film thickness, σl(unit: S/m) is the electrolyte conductivity depending on the relative humidity. Which represents the physical meaning of current distribution initialization.
When using the current distribution shell to solve, the dependent variable is the electrolyte potential phil(unit: V), the equation is:
Figure BDA0003567452660000061
wherein il(unit: A/m)2) Is the electrolyte current density vector, S (unit: m) is the electrolyte film thickness, σl(unit: S/m) is the electrolyte conductivity depending on the relative humidity.
Cathode-anode reaction on the surface of the electrode. The dissolution reaction of the anode is the dissolution reaction of metal ions, and the electrode kinetic equation is the anode Tafel equation. The cathode reaction is O2The electrode kinetics is a cathode Tafel equation. In the reduction reaction of oxygen, since the reduction reaction of oxygen is limited by the transport of oxygen through the membrane, the limiting current density is considered. Limiting current density ilim(unit: A/m)2) Depending on the film thickness, oxygen solubility and oxygen diffusivity, the formula is as follows:
Figure BDA0003567452660000071
wherein F (96485C/mol) is the Faraday constant, D (unit: m)2/s) is the diffusivity of oxygen in the film, csol(S unit: mol/m)3) Is the solubility of oxygen, dfilm(unit: m) represents the film thickness of the thin liquid film. By assuming a first order dependence of the oxygen reduction kinetics on the local current density of the oxygen concentration, the following current densities can be deduced
Figure BDA0003567452660000072
(unit: A/m)2) Expression:
Figure BDA0003567452660000073
wherein iexprIs the local current density of the electrode reaction without mass transport limitation.
S404, subdividing the model grids, carrying out free tetrahedron subdivision on the simplified model, and selecting the sizes of the grids to be extremely refined for improving the convergence.
S405, selecting the transient state with initialization by the modeled control equation, wherein one time step is 10 multiplied by 24 multiplied by 3600 seconds, and calculating 100 steps.
And S500, analyzing results, comparing simulation results of atmospheric corrosion, and comparing corrosion speeds of different areas and corrosion hot spot areas.
The method specifically comprises the following steps: observing an electrode potential VS reference potential diagram output in the atmospheric corrosion simulation result, observing whether the result is consistent with a galvanic sorting result carried out by the self-corrosion potential in the input material, then observing an anode dissolution local current density diagram in the output result, and observing the corrosion rate and the corrosion hot spot area according to the local current density.
S600, comparing output results, performing a salt spray test on the fastener, and verifying the accuracy of simulation by comparing a simulation test result with the salt spray test. And further identifying corrosion hot spot areas to optimize protection modes under different coatings.
The method specifically comprises the following steps: firstly, a salt spray test is carried out on a sample, and a corrosion result is observed. And secondly, observing corrosion data output in COMSOL, outputting corrosion data such as electrolyte potential, electrode potential VS reference potential, total interface current density, local current density of a cathode and an anode, and a current density change graph of a certain point along with time, comparing data of a salt spray test and a simulation experiment, observing whether simulation is correct, and if not, checking input parameters of a model, and the like, and repeating the steps S100-S600 until errors are smaller as far as possible. If the coating is correct, the protection effect under the action of different coatings can be compared by changing the coating and inputting parameters again, so that the optimization of the protection mode is guided.
Galvanic corrosion example:
the specific implementation steps are as follows:
s100, selecting a research object, disassembling the bearing quick release lock, observing a corrosion hot spot area, and sampling components under different protective coatings to prepare a test product for a next electrochemical experiment.
The experimental article is mainly characterized in that metal containing different coatings is made into a metal electrode. The mode of making the metal electrode is as follows: the working electrode is a cylinder with the diameter of 3mm, and the area of the working surface is 0.071cm2. A copper wire is soldered to the back of the electrode to provide electrical contact. The non-working surfaces of the electrodes are sealed with phenolic and epoxy resins.
S200, electrochemical experiment measurement parameters: and measuring parameters such as corrosion potential, exchange current density, anode and cathode Tafel slope of metal under different coatings, electrolyte conductivity and the like required by corrosion simulation.
The method specifically comprises the following steps: a three-electrode system is adopted, and the self-corrosion potential, the exchange current density and the Tafel polarization curve of a fastener material are respectively measured after the electrodes made of the materials used by all parts of the fastener are subjected to anti-corrosion treatment such as anodic oxidation, MoS2 coating, passivation, MoS2 coating, aluminum coating, zinc-nickel alloy electroplating and the like.
And calculating the self-corrosion potential, the exchange current density and the anode and cathode Tafel slopes of the metal under different coatings by adopting a Tafel curve extrapolation method.
The conductivity of the electrolyte under galvanic corrosion was measured.
S300, simplifying the model, wherein the mode of simplifying the model is different from the traditional method of directly simplifying the three-dimensional model into the two-dimensional model, and the complex three-dimensional model is simplified into the simpler three-dimensional model through the grid division function in the software, so that the simulation is more accurate and visual.
The method specifically comprises the following steps: the method comprises the steps of leading a model into COMSOL, utilizing a meshing module in software, firstly carrying out free tetrahedral meshing on geometry, carrying out size selection and refining, observing a place where a mesh drawing fails, searching for a thin domain and a tip part in the model according to the prompt of the software, removing the tip part and the thin domain place in the model according to the symmetry of the three-dimensional model, and changing the three-dimensional model as little as possible so as to ensure higher simulation accuracy.
S400, carrying out assignment calculation, importing data measured by electrochemistry into COMSOL, and simulating the galvanic corrosion of the assembly; and carrying out galvanic sorting on the corrosion potential measured by an electrochemical experiment so as to determine the cathode and the anode in the fastener, and carrying out galvanic corrosion simulation on the fastener.
S401, the simplified three-dimensional model is imported into software, the boundary of the model is subjected to primary definition in a mode of display in selection, and a same kind of coating metal material domain is selected and defined as an external boundary in the domain for subsequent application.
S402, introducing parameters such as electrochemical parameters, electrolyte conductivity and the like measured by an electrochemical experiment.
S403, selecting a physical field, wherein the physical field of the galvanic corrosion is secondary current distribution, and solving the potential phi on the electrode domain of the component formed by different materials by using the physical fields(unit: V):
▽il=Ql,il=-σl▽φl
▽is=Qs,is=-σs▽φs
φl=phil,φs=phis
wherein is(unit: A/m)2) Is the electrode current density vector, σs(unit: S/m) is the conductivity, phil is the electrolyte potential, phis is the potential, Ql、QsAre all constants.
The assembly of 17-4PH passivation + MoS2 and 17-7PH passivation materials was set to be the anode and the assembly of Ti6Al4V material was set to be the cathode, according to the galvanic sorting order. The dissolution reaction of the anode is the dissolution reaction of metal ions, and the electrode kinetic equation is the anode Tafel equation. The cathode reaction is the reduction reaction of O2, and the electrode kinetics is the cathode Tafel equation.
S404, subdividing the model grids, carrying out free tetrahedron subdivision on the simplified model, and selecting the sizes of the grids to be extremely refined for improving the convergence.
S405, selecting the transient state with initialization by the modeled control equation, wherein one time step is 10 multiplied by 24 multiplied by 3600 seconds, and the total time is 100 steps.
S500, analyzing results, namely comparing the simulation results of the galvanic corrosion, and comparing the corrosion speeds of different areas and corrosion hot spot areas. And secondly, comparing atmospheric corrosion with galvanic corrosion. Comparing the corrosion rate and the like.
The method specifically comprises the following steps: observing an electrode potential VS reference potential diagram output in a galvanic corrosion simulation result, observing whether the result is consistent with a galvanic sorting result carried out by a self-corrosion potential in an input material, observing an anode dissolution local current density diagram in the output result, observing the corrosion rate and a corrosion hot spot area through the local current density, and observing the atmospheric corrosion and galvanic corrosion local current density diagrams to observe the corrosion rate.
S600, comparing output results, carrying out an electrochemical test on the fastener, and verifying the accuracy of simulation by comparing a simulation test result with the electrochemical test. And further identifying corrosion hot spot areas to optimize protection modes under different coatings.
The method specifically comprises the following steps: firstly, a salt spray test is carried out on a sample, and a corrosion result is observed. And secondly, observing corrosion data output in the COMSOL, outputting corrosion data such as electrolyte potential, electrode potential VS reference potential, total interface current density, local current density of a cathode and an anode, and a current density change diagram of a certain point along with time, comparing the data of an electrochemical test and a simulation experiment, observing whether the simulation is correct, and if the simulation is incorrect, checking input parameters of a model, and the like, and repeating the steps S100-S600 until the error is as small as possible. If the coating is correct, the protection effect under the action of different coatings can be compared by changing the coating and inputting parameters again, so that the optimization of the protection mode is guided.
Those of ordinary skill in the art will appreciate that the elements and method steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of clearly illustrating the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed method and system may be implemented in other ways. For example, the above described division of elements is merely a logical division, and other divisions may be realized, for example, multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not executed. The units may or may not be physically separate, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
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 invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A force-bearing quick-release lock anticorrosion coating optimization method based on corrosion simulation is characterized by comprising the following steps:
s1, selecting a research object, disassembling the assembly, observing a corrosion hot spot area, sampling the assemblies under different protective coatings to prepare a test article for the next electrochemical experiment;
s2, measuring parameters of a test article required in the subsequent corrosion simulation process;
s3, performing assignment calculation, namely importing the parameters measured in the step S2 into corrosion simulation software, performing atmospheric corrosion simulation on the components, performing galvanic sorting on corrosion potentials measured by an electrochemical experiment to determine the cathode and the anode in the fastener, and performing galvanic corrosion simulation on the fastener;
s4, analyzing results, namely comparing simulation results of atmospheric corrosion and galvanic corrosion independently, comparing corrosion speeds of different areas and corrosion hot spot areas, and comparing the corrosion speeds of the atmospheric corrosion and the galvanic corrosion;
s5, comparing output results, performing a salt spray test on the fastener, verifying the accuracy of simulation by comparing a corrosion simulation test result with the salt spray test, and further identifying a corrosion hot spot area to optimize protection modes under different coatings.
2. The method for optimizing the force-bearing quick-release lock anticorrosion coating based on the corrosion simulation is characterized in that in the step S1, the method for manufacturing the test sample is as follows:
the working electrode is a cylinder with the diameter of 3mm, and the area of the working surface is 0.071cm2A copper wire is soldered to the back of the electrode to provide electrical contact, and the non-working surface of the electrode is sealed with phenolic and epoxy.
3. The method for optimizing the force-bearing quick-release anti-corrosion coating based on corrosion simulation is characterized in that in step S2, parameters of a test article required in the subsequent corrosion simulation process are measured through an electrochemical experiment, and the method comprises the following steps:
a1, adopting a three-electrode system to respectively measure the self-corrosion potential, the exchange current density and the Tafel polarization curve of the material of the fastener after the materials used by each part of the fastener are subjected to anodic oxidation + MoS2, passivation + MoS2, aluminum coating and zinc-nickel alloy electroplating corrosion prevention treatment;
a2, calculating the Tafel slope of the cathode and anode of various materials by using a Tafel curve extrapolation method;
a3, sequencing the self-corrosion potentials of the metals under different coatings.
4. The method for optimizing force-bearing quick-release anticorrosion coating based on corrosion simulation as claimed in claim 1, wherein in step S2, the corrosion potentials of metals under different coatings required by corrosion simulation are measured and subjected to galvanic sorting, and the exchange current density, the Tafel slope of cathode and anode, the oxygen dissolution and diffusion parameters, and the thickness and conductivity of the thin liquid film formed under atmospheric environment are measured.
5. The method for optimizing force-bearing quick-release lock anticorrosion coating based on corrosion simulation as claimed in claim 1, wherein between steps S2 and S3, the training model is simplified, the main area used is a grid division module in COMSOL, after the model is introduced, the model is first subjected to superfine grid division, a place where the grid drawing fails in an observation area is observed, and a thin area and a tip part in the three-dimensional model are removed according to an error instruction prompted by a system and the symmetry of the three-dimensional model, so that the three-dimensional model is simplified.
6. The method for optimizing the force-bearing quick-release anti-corrosion coating based on the corrosion simulation is characterized in that in the step S3, the assignment calculation method comprises the following steps:
b1, importing the simplified three-dimensional model into software, and performing some initial definitions on the boundary of the model to facilitate subsequent selection;
b2, importing the basic parameters measured by electrochemistry, and importing the other needed parameters by consulting literature;
b3, selecting physical fields of atmospheric corrosion and galvanic corrosion respectively, and inputting required parameters, wherein the atmospheric corrosion adopts a current distribution shell, and the galvanic corrosion adopts secondary current distribution;
b4, subdividing the model grid, and selecting superfine to subdivide the whole model;
b5, researching and selecting the transient state with initialization, and solving the simulation.
7. The method for optimizing the force-bearing quick-release anti-corrosion coating based on the corrosion simulation is characterized in that in the step S4, the result analysis method comprises the following steps: observing the simulation results of atmospheric corrosion and galvanic corrosion, observing whether the corrosion speed and the hot spot area are related to the basic corrosion potential of the material, whether the basic rule that the anode is dissolved in the corrosion with more negative potential is met, and then analyzing the magnitude of the atmospheric corrosion and the galvanic corrosion speed to judge which corrosion is more serious for the material damage.
8. The method for optimizing the force-bearing quick-release anti-corrosion coating based on the corrosion simulation is characterized in that in the step S5, the method for outputting the comparison result is as follows: and comparing the corrosion data output by simulation with the results of the salt spray experiment, observing the corrosion hot spot region by simulation, and further optimizing different protective coatings.
9. An electronic device comprising a processor and a memory communicatively coupled to the processor and configured to store processor-executable instructions, wherein: the processor is used for executing the preferable method of the force-bearing quick-release lock anticorrosion coating based on corrosion simulation of any one of the claims 1-8.
10. A computer-readable storage medium storing a computer program, characterized in that: the computer program is used for realizing the preferable method of the force-bearing quick-release lock anticorrosion coating based on corrosion simulation of any one of claims 1-8 when being executed by a processor.
CN202210309613.8A 2022-03-28 2022-03-28 Corrosion simulation-based force-bearing quick-release lock anticorrosion coating optimization method Pending CN114611322A (en)

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CN114970291A (en) * 2022-07-28 2022-08-30 中国电器科学研究院股份有限公司 Air conditioner heat exchanger atmospheric corrosion prediction method based on finite element simulation technology
CN114970291B (en) * 2022-07-28 2022-12-06 中国电器科学研究院股份有限公司 Air conditioner heat exchanger atmospheric corrosion prediction method based on finite element simulation technology

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