CN113138158A - Metal material corrosion-resistant life prediction method and device and electronic equipment - Google Patents
Metal material corrosion-resistant life prediction method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for predicting the corrosion-resistant life of a metal material and electronic equipment, wherein the method for predicting the corrosion-resistant life of the metal material comprises the following steps: carrying out an accelerated corrosion test on a metal material to obtain a first accelerated corrosion rate of the metal material in the accelerated corrosion test; acquiring an acceleration ratio of a standard sample corresponding to the metal material under the accelerated corrosion test and a preset atmospheric corrosion level; determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio. Therefore, the corrosion resistance service life evaluation of the metal material under different atmospheric corrosion grades can be realized in a laboratory environment, and the method has easy operability; the service life evaluation of materials with different corrosion grades in different atmospheric corrosion environments can be evaluated, such as industrial environments, coastal environments, rural environments and the like.
Description
Technical Field
The invention relates to the technical field of metal materials, in particular to a method and a device for predicting corrosion-resistant service life of a metal material and electronic equipment.
Background
The metal material is exposed to the natural environment for a long time and can be corroded by the atmosphere. Different atmospheric corrosion environments can cause different degrees of corrosion damage to metal materials, thereby affecting the safety, reliability and durability of the metal materials. Therefore, the prediction research of the corrosion full life of the metal material in the atmospheric corrosion environment is required, which has very important significance for protecting and reasonably utilizing various resources, building a conservation-oriented society, realizing sustainable development, strengthening the corrosion protection of the material and improving the safe service life of a steel structure.
Different metal materials have different corrosion resistances under different atmospheric corrosion levels, which directly reflects different service lives under different atmospheric corrosion level environments, generally, the materials have longer corrosion resistance service lives under the environments of C1 and C2, and the corrosion resistance service lives of the materials are shorter above C5 and CX, and whether the materials are suitable under a certain atmospheric corrosion level environment is always a difficult problem in the aspects of engineering material selection and corrosion resistance, so how to evaluate the applicability of the metal materials under different atmospheric corrosion environments is also gradually concerned.
The prediction of the corrosion life of the material is to predict long-term corrosion behavior by using short-term corrosion data, predict general corrosion rules of a large sample by using local sample characteristics, predict the corrosion behavior of the material in an actual environment by using indoor corrosion data under simple conditions and the like, and the prediction and the corrosion test form two main pillars for corrosion research. In addition, corrosion of metal materials is affected by various factors, such as temperature, humidity, time, and the like. The factors are mutually influenced to form an abnormal complex corrosion system, and the conventional method for predicting the corrosion rate by linear fitting and extrapolation through experimental data is difficult to directly establish a clear functional relation, so that the prediction accuracy and the practicability are not ideal.
Therefore, for the corrosion prediction problem with ambiguity and complexity, the classical prediction method is difficult to work, and a suitable method is found to establish a corrosion rate prediction model, so that the prediction of the corrosion life of the metal material is very important.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for predicting a corrosion-resistant life of a metal material, and an electronic device, so as to solve the problem that the accuracy and the practicability of the current method for predicting a corrosion-resistant life of a metal material are not ideal.
According to a first aspect, an embodiment of the present invention provides a method for predicting corrosion resistance life of a metal material, including:
carrying out an accelerated corrosion test on a metal material to obtain a first accelerated corrosion rate of the metal material in the accelerated corrosion test;
acquiring an acceleration ratio of a standard sample corresponding to the metal material under the accelerated corrosion test and a preset atmospheric corrosion level;
determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio.
The method for predicting the corrosion-resistant service life of the metal material, provided by the embodiment of the invention, can realize the corrosion-resistant service life evaluation of the metal material under different atmospheric corrosion grades in a laboratory environment, and has easy operability; the service life evaluation of materials with different corrosion grades in different atmospheric corrosion environments can be evaluated, such as industrial environments, coastal environments, rural environments and the like. The method is implemented on the basis of the metal standard sample on the basis of respectively carrying out the accelerated corrosion test and the outdoor exposure corrosion test and ensuring the consistency of the accelerated corrosion test and the outdoor exposure corrosion mechanism, so that the method has good accuracy.
With reference to the first aspect, in a first embodiment of the first aspect, determining the corrosion resistance life of the metallic material at the atmospheric corrosion level as a function of the first accelerated corrosion rate and the acceleration ratio comprises:
determining a first normal corrosion rate of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio;
obtaining the thickness of the metal material;
determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the thickness and the first normal corrosion rate.
With reference to the first embodiment of the first aspect, in a second embodiment of the first aspect, before obtaining an acceleration ratio of the standard sample corresponding to the metal material in the accelerated corrosion test to a preset atmospheric corrosion level, the method further includes:
performing the accelerated corrosion test on the standard sample to obtain a second accelerated corrosion rate of the standard sample in the accelerated corrosion test;
acquiring a second normal corrosion rate of the standard sample under the atmospheric corrosion level;
and obtaining the acceleration ratio of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade according to the second accelerated corrosion rate and the second normal corrosion rate.
With reference to the first embodiment of the first aspect, in a third embodiment of the first aspect, determining a first normal corrosion rate of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio comprises:
determining a first normal corrosion rate of the metal material under the atmospheric corrosion grade by using a preset first formula according to the first accelerated corrosion rate and the acceleration ratio;
the first formula is:
wherein, R isiRepresents a first normal corrosion rate of the metallic material at the atmospheric corrosion level; r'aRepresenting a first accelerated corrosion rate of the metallic material in the accelerated corrosion test; said KiRepresents the acceleration ratio of the metal material under the accelerated corrosion test to the atmospheric corrosion grade.
With reference to the first aspect, in a fourth embodiment of the first aspect, determining the corrosion resistance life of the metallic material at the atmospheric corrosion level based on the thickness and the first normal corrosion rate comprises:
determining the corrosion resistance service life of the metal material under the atmospheric corrosion grade by using a preset second formula according to the thickness and the first normal corrosion rate;
the second formula is:
wherein d represents a thickness of the metal material; d isminRepresents the minimum thickness allowed by the metal material; the R isiRepresents a first normal corrosion rate of the metallic material at the atmospheric corrosion level; the T isiRepresents the corrosion resistance life of the metal material under the atmospheric corrosion grade.
With reference to the second embodiment of the first aspect, in the fifth embodiment of the first aspect, the obtaining an acceleration ratio of the standard specimen at the accelerated corrosion test to the atmospheric corrosion level according to the second accelerated corrosion rate and the second normal corrosion rate includes:
obtaining the acceleration ratio of the standard sample under the accelerated corrosion test and the preset atmospheric corrosion grade by using a preset third formula according to the second accelerated corrosion rate and the second normal corrosion rate;
the third formula is:
wherein, K isiRepresenting the acceleration ratio of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade; said raRepresenting a second accelerated corrosion rate of the standard specimen in the accelerated corrosion test; said riRepresenting a second normal corrosion rate of said standard sample at said atmospheric corrosion level.
With reference to the first aspect, in a sixth embodiment of the first aspect, the accelerated corrosion test comprises one or more of: the method comprises a week immersion corrosion test, a salt spray corrosion test and a damp heat aging corrosion test.
According to a second aspect, an embodiment of the present invention provides an apparatus for evaluating corrosion resistance life of a metal material, including:
the test module is used for carrying out an accelerated corrosion test on the metal material;
the first acquisition module is used for acquiring a first accelerated corrosion rate of the metal material in the accelerated corrosion test;
the second acquisition module is used for acquiring the acceleration ratio of the standard sample corresponding to the metal material under the accelerated corrosion test and the preset atmospheric corrosion grade;
and the processing module is used for determining the corrosion resistance service life of the metal material under the atmospheric corrosion grade according to the first accelerated corrosion rate and the accelerated speed ratio.
According to a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the method for predicting corrosion resistance life of a metal material according to the first aspect or any implementation manner of the first aspect.
According to a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the method for predicting corrosion resistance life of a metal material according to the first aspect or any one of the implementation manners of the first aspect.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
fig. 1 is a schematic flow chart of a method for predicting corrosion resistance life of a metal material in example 1 of the present invention;
FIG. 2 is a schematic of the macro-topography of a standard zinc template subjected to a weekly leaching test for 15 days;
FIG. 3 is a schematic view of the macro-topography of a standard zinc sample plate subjected to an atmospheric exposure test for 1 year;
FIG. 4 is a schematic view of the microscopic corrosion morphology of a standard zinc coupon prior to removal of corrosion products for 15 days of a weekly leaching test;
FIG. 5 is a schematic view of the microscopic corrosion morphology of a standard zinc coupon after 15 days of immersion testing to remove corrosion products;
FIG. 6 is a schematic view of the microscopic corrosion morphology of a standard zinc template subjected to an atmospheric exposure test for 1 year prior to removal of corrosion products;
FIG. 7 is a schematic view of the microscopic corrosion morphology of a standard zinc template subjected to an atmospheric exposure test for 1 year after removal of corrosion products;
FIG. 8 is a schematic drawing of the sampling range of an EDS test of a standard zinc coupon for 15 days of a weekly leaching test;
FIG. 9 is a graph showing the results of an EDS test on a standard zinc coupon for 15 days of a weekly soak test;
FIG. 10 is a schematic drawing of the sampling range of an EDS test of a standard zinc template subjected to an atmospheric exposure test for 1 year;
FIG. 11 is a graph showing the results of an EDS test on a standard zinc template subjected to an atmospheric exposure test for 1 year;
fig. 12 is a schematic structural view of a corrosion-resistant life evaluation apparatus for a metallic material in embodiment 2 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment 1 of the invention provides a method for predicting the corrosion-resistant life of a metal material. Fig. 1 is a schematic flow chart of a method for predicting corrosion resistance life of a metal material in embodiment 1 of the present invention, and as shown in fig. 1, the method for predicting corrosion resistance life of a metal material in embodiment 1 of the present invention includes the following steps:
s101: and carrying out an accelerated corrosion test on the metal material to obtain a first accelerated corrosion rate of the metal material in the accelerated corrosion test.
As a specific embodiment, the accelerated corrosion test comprises one or more of the following: the method comprises a week immersion corrosion test, a salt spray corrosion test and a damp heat aging corrosion test.
In a specific embodiment, the metal material may be one of carbon steel, zinc, aluminum and copper or one of zinc, aluminum and copper as a protective layer.
S102: and acquiring the acceleration ratio of the standard sample corresponding to the metal material under the accelerated corrosion test and the preset atmospheric corrosion grade.
In example 1 of the present invention, the corrosion mechanism of the standard sample after the accelerated corrosion test is consistent with that of the standard sample in the atmospheric exposure test at the atmospheric corrosion level, for example, the corrosion mechanism of the standard sample after the accelerated corrosion test is consistent with that of the standard sample in the atmospheric exposure test at the atmospheric corrosion level for one year or more. As a specific embodiment, the accelerated corrosion test conditions may be determined by the following method: and testing the polarization curves of the standard metal samples under different conditions by adopting a single-factor (such as temperature, pH and test solution solubility) variable method, and judging whether the corrosion mechanism changes or not according to the change condition of the corrosion characteristics. When the corrosion characteristics change, the corrosion mechanism is judged to change, so that the condition range is determined, and the test conditions can be selected from the condition range.
As a specific embodiment, before obtaining an acceleration ratio of a standard sample corresponding to the metal material in the accelerated corrosion test and at a preset atmospheric corrosion level, the acceleration ratio may be determined by (11) performing the accelerated corrosion test on the standard sample, and obtaining a second accelerated corrosion rate of the standard sample in the accelerated corrosion test; (12) acquiring a second normal corrosion rate of the standard sample under the atmospheric corrosion level; (13) and obtaining the acceleration ratio of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade according to the second accelerated corrosion rate and the second normal corrosion rate.
Specifically, the step (13) of obtaining the acceleration ratio of the standard sample in the accelerated corrosion test to the standard sample in the atmospheric corrosion grade according to the second accelerated corrosion rate and the second normal corrosion rate may adopt the following scheme:
obtaining the acceleration ratio of the standard sample under the accelerated corrosion test and the preset atmospheric corrosion grade by using a preset third formula according to the second accelerated corrosion rate and the second normal corrosion rate;
the third formula is:
wherein, K isiRepresenting the acceleration ratio of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade; said raRepresenting a second accelerated corrosion rate of the standard specimen in the accelerated corrosion test; said riRepresenting a second normal corrosion rate of said standard sample at said atmospheric corrosion level.
It is noted that the second normal corrosion rate r of the standard sample is at the atmospheric corrosion leveliMay be a range of values, that is, riIncludes the upper limit value r of the second normal corrosion rate of the standard sample under the atmospheric corrosion leveliupAnd a lower limit value r of a second normal corrosion rate of the standard sample under the atmospheric corrosion levelilow. Corresponding to, KiThe lower limit K of the acceleration ratio of the standard sample in the accelerated corrosion test and the atmospheric corrosion gradeilowAnd the upper limit K of the acceleration ratio of the standard sample in the accelerated corrosion test and the atmospheric corrosion gradeiup。
That is, the range of the acceleration ratio of the standard sample at the accelerated corrosion test to the atmospheric corrosion level can be calculated as follows.
In the formula:
Kiuprepresenting an upper limit of an acceleration ratio of the standard sample in the accelerated corrosion test to the atmospheric corrosion level;
Kilowrepresenting a lower acceleration ratio limit of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade;
riuprepresents the upper limit value of the second normal corrosion rate of the standard sample under the atmospheric corrosion level, mu m/a or g/(m)2·a)；
rilowRepresents the lower limit value of the second normal corrosion rate of the standard sample under the atmospheric corrosion level, mu m/a or g/(m)2·a)；
raRepresents a second accelerated corrosion rate, μm/a or g/(m) of the standard sample in the accelerated corrosion test2·a)。
S103: determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio.
As a specific embodiment, determining the corrosion resistance life of the metallic material at the atmospheric corrosion level according to the first accelerated corrosion rate and the acceleration ratio may be performed in the following manner:
(21) determining a first normal corrosion rate of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio;
(22) obtaining the thickness of the metal material;
(23) determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the thickness and the first normal corrosion rate.
More specifically, the step (21) of determining a first normal corrosion rate of the metallic material at the atmospheric corrosion level according to the first accelerated corrosion rate and the acceleration ratio may be performed as follows:
determining a first normal corrosion rate of the metal material under the atmospheric corrosion grade by using a preset first formula according to the first accelerated corrosion rate and the acceleration ratio;
the first formula is:
wherein, R isiRepresents a first normal corrosion rate of the metallic material at the atmospheric corrosion level; r'aRepresenting a first accelerated corrosion rate of the metallic material in the accelerated corrosion test; said KiRepresents the acceleration ratio of the metal material under the accelerated corrosion test to the atmospheric corrosion grade.
It should be noted that the acceleration ratio K of the metal material in the accelerated corrosion test to the atmospheric corrosion classiMay be a range of values, that is, KiComprises the followingThe upper limit K of the acceleration ratio of the metal material under the accelerated corrosion test and the atmospheric corrosion gradeiupAnd the lower limit R of the acceleration ratio of the metal material under the accelerated corrosion test and the atmospheric corrosion gradeilow. Corresponding to RiComprises a first normal corrosion rate lower limit R of the metal material under the atmospheric corrosion levelilowAnd a first upper limit of normal corrosion rate R of said metallic material at said atmospheric corrosion leveliup。
That is, the first normal corrosion rate of the metallic material at the atmospheric corrosion level can be obtained by the following equation:
in the formula:
Riuprepresents the first normal corrosion rate upper limit, mu m/a or g/(m) of the metal material under the atmospheric corrosion level2·a)；
RilowRepresents the first normal corrosion rate lower limit, mu m/a or g/(m) of the metal material under the atmospheric corrosion level2·a)；
KiupRepresenting an upper limit of an acceleration ratio of the metallic material under the accelerated corrosion test to the atmospheric corrosion rating;
Kilowrepresents a lower limit of an acceleration ratio of the metallic material under the accelerated corrosion test and the atmospheric corrosion grade;
r’arepresents a first accelerated corrosion rate, μm/a or g/(m) of the metal material in the accelerated corrosion test2·a)。
More specifically, the step (23) of determining the corrosion resistance life of the metal material under the atmospheric corrosion level according to the thickness and the first normal corrosion rate may adopt the following technical scheme:
determining the corrosion resistance service life of the metal material under the atmospheric corrosion grade by using a preset second formula according to the thickness and the first normal corrosion rate;
the second formula is:
wherein d represents a thickness of the metal material; d isminRepresents the minimum thickness allowed by the metal material; the R isiRepresents a first normal corrosion rate of the metallic material at the atmospheric corrosion level; the T isiRepresents the corrosion resistance life of the metal material under the atmospheric corrosion grade.
In addition, R isiMay be a range of values including a first lower normal corrosion rate limit R for said metallic material at said atmospheric corrosion levelilowAnd a first upper limit of normal corrosion rate R of said metallic material at said atmospheric corrosion leveliup. Accordingly, TiAlso a range value including an upper limit T of a corrosion life of said metallic material under said atmospheric corrosion leveliupAnd a lower limit T of corrosion life of said metallic material at said atmospheric corrosion levelilow。
Specifically, the minimum thickness or the minimum thickness of the coating layer can be used as a use limit, and the corrosion resistance life of the metal material under the atmospheric corrosion grade can be calculated by adopting the following formula:
in the formula:
d represents the thickness of the metal material or the thickness of the metal coating layer, mm;
dminrepresents the thickness of the metal material or the minimum thickness allowed by the metal coating layer, mm;
Riuprepresents the first normal corrosion rate upper limit, mu m/a or g/(m) of the metal material under the atmospheric corrosion level2·a)；
RilowRepresents the first normal corrosion rate lower limit, mu m/a or g/(m) of the metal material under the atmospheric corrosion level2·a)；
TiupRepresents the upper limit of the corrosion resistance life of the metal material under the atmospheric corrosion grade, a;
Tilowrepresents the lower limit of the corrosion life of the metal material under the atmospheric corrosion grade, a.
To explain the method for predicting the corrosion resistance life of the metallic material of example 1 of the present invention in more detail, a specific example is given.
The accelerated corrosion test adopts a weekly soaking test method, and the test conditions are as follows: the temperature is 60 ℃, the NaCl is 7%, the pH is 3.0, one cycle period is 120min, wherein, the immersion is carried out for 40min and the drying is carried out for 80min, the immersion stage is that the uppermost end of the sample is at least 10mm below the solution surface, the immersion stage is that the environmental temperature of the test box is reduced to 10-25 ℃, the drying stage is that the temperature of the test box is increased to 35-50 ℃, the humidity of the test box is controlled to be 30-45%, and the test time is 15 days.
Fig. 2 is a schematic diagram of the macro-morphology of a standard zinc sample plate subjected to a weekly leaching test for 15 days, and fig. 3 is a schematic diagram of the macro-morphology of the standard zinc sample plate subjected to an atmospheric exposure test for 1 year. As can be seen from FIGS. 2 and 3, the corrosion behavior of the standard zinc sample plate studied in the indoor and outdoor corrosion tests is obviously the same, and white rust is obviously generated. The macroscopic corrosion appearance is consistent with the color of the corrosion product in the sample feeding test, the macroscopic phenomenon of the sample plate corrosion is observed by eyes, and the surface is covered with the white corrosion product.
FIG. 4 is a schematic view of the microscopic corrosion morphology of a standard zinc coupon prior to removal of corrosion products for 15 days of a weekly leaching test; FIG. 5 is a schematic representation of the microscopic corrosion morphology of a standard zinc coupon after 15 days of immersion testing to remove corrosion products. FIG. 6 is a schematic view of the microscopic corrosion morphology of a standard zinc template subjected to an atmospheric exposure test for 1 year prior to removal of corrosion products; FIG. 7 is a schematic representation of the microscopic corrosion morphology of a standard zinc coupon subjected to atmospheric exposure for 1 year after removal of corrosion products. As can be seen from fig. 4 and 6, after the cyclic immersion acceleration test, the corrosion product layer on the surface of the standard sample is thicker, and after the standard sample is exposed to the atmosphere for 1 year, the corrosion products on the surface of the standard sample are scattered and have the tendency of connection in a sheet shape; after rust removal, the microscopic corrosion features of fig. 5 and 7 both show lamellar uniform corrosion with sporadic distribution of corrosion pits. The indoor and outdoor corrosion test mechanism is basically consistent.
In the embodiment 1 of the invention, the indoor test method is compared with the outdoor field test in terms of the macroscopic morphology, the microscopic morphology and the corrosion product, and the test method is implemented under the condition that the macroscopic morphology, the microscopic morphology and the corrosion product are consistent, so that the mechanistically accelerated test and the outdoor test are consistent.
FIG. 8 is a schematic drawing of the sampling range of the EDS test for a standard zinc coupon for 15 days of the weekly leach test, the sampling range of the EDS test being indicated in boxes in FIG. 8; fig. 9 is a graph showing the results of the EDS test on a standard zinc coupon for 15 days of the weekly leach test, with the results of the EDS test given in table 1 below.
TABLE 1 EDS elemental analysis results (accelerated corrosion test)
FIG. 10 is a schematic drawing of the sampling range of the EDS test for a standard zinc template subjected to an atmospheric exposure test for 1 year, the sampling range of the EDS test being indicated in boxes in FIG. 10; fig. 11 is a graph showing the analysis results of the EDS test of a standard zinc sample panel subjected to an atmospheric exposure test for 1 year, while the analysis results of the EDS test are given in table 2 below.
TABLE 2 EDS elemental analysis results for outdoor samples
As is clear from fig. 8, 9, 10, 11, 1 and 2, the corrosion products of the standard zinc sample plate in the immersion accelerated corrosion test and the sample application in the outdoor atmospheric environment are mainly Zn and O, and the types and components of the corrosion products are almost similar with a small amount of Cl and Al, indicating that the indoor and outdoor corrosion tests are consistent.
The corrosion rate obtained in 15 days of the standard zinc sample plate immersion accelerated corrosion test is 1.0950mm a-1The zinc rates at different atmospheric corrosion levels are calculated with reference to table 3, and therefore the acceleration ratio ranges for the periimmersion acceleration test are obtained as shown in table 4.
TABLE 3 environmental corrosivity classification at 1 year corrosion rates of different metal exposures
Specifically, the acceleration ratio ranges of different atmospheric corrosion grades of the zinc standard sample under the test conditions of the accelerated corrosion test are obtained through the following formula.
For example, for zinc with a corrosion grade of C2, the corrosion rate of the corrosion is reduced, and the upper limit of the acceleration ratio is adopted
I.e. 1.0950 mm. a-1÷0.7μm·a-11564.28, lower acceleration ratio limit
I.e. 1.0950 mm. a-1÷0.1μm·a-1＝10950。
TABLE 4 acceleration ratio of standard zinc sample plate in the accelerated corrosion test of the immersion method
Selecting two different hot-galvanized plates A and B, wherein the hot-galvanized thickness is 86 micrometers, and adopting a weekly dipping test method under the test conditions that: the temperature is 60 ℃, the NaCl is 7%, the pH is 3.0, one cycle period is 120min, wherein, the immersion is carried out for 40min and the drying is carried out for 80min, the immersion stage is that the uppermost end of the sample is at least 10mm below the solution surface, the immersion stage is that the environmental temperature of the test box is reduced to 10-25 ℃, the drying stage is that the temperature of the test box is increased to 35-50 ℃, the humidity of the test box is controlled to be 30-45%, and the test time is 15 days. After the test, the corrosion rates of the hot-galvanized plate A and the hot-galvanized plate B are respectively 1.546mm/a and 0.865mm/a, and the corrosion rates under different corrosion grade environments are calculated according to the acceleration ratio in the table 4, which is shown in the table 5.
Specifically, the corrosion rate ranges of the hot galvanizing A and the hot galvanizing B under different atmospheric corrosion grades are obtained through the following formulas.
TABLE 5 sample Corrosion Rate calculated after week immersion accelerated Corrosion
According to the calculation in table 5, the service life of the galvanized steel sheet a is about 29 years to 87 years and the service life of the galvanized steel sheet B is about 51.8 years to 155 years in a C3 corrosion grade environment according to the requirement that the minimum allowable thickness of the galvanized layer is 0 mm; the service life of the hot-dip galvanized steel sheet A is about 29 to 14.5 years in a C4 corrosion grade environment; the service life of the hot dip galvanized steel sheet B is about 25.9 years to 51.8 years.
Example 2
In accordance with embodiment 1 of the present invention, embodiment 2 of the present invention provides a device for evaluating the corrosion-resistant life of a metal material. Fig. 12 is a schematic structural diagram of a metallic material corrosion resistance life evaluation apparatus in embodiment 2 of the present invention, and as shown in fig. 12, the metallic material corrosion resistance life evaluation apparatus in embodiment 2 of the present invention includes a test module 20, a first obtaining module 22, a second obtaining module 24, and a processing module 26.
Specifically, the test module 20 is used for performing an accelerated corrosion test on a metal material;
a first obtaining module 22, configured to obtain a first accelerated corrosion rate of the metal material in the accelerated corrosion test;
the second obtaining module 24 is configured to obtain an acceleration ratio of the standard sample corresponding to the metal material in the accelerated corrosion test to a preset atmospheric corrosion level;
a processing module 26 for determining a corrosion life of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio.
The specific details of the metal material corrosion-resistant life evaluation device can be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to 11, which are not described herein again.
Example 3
Embodiments of the present invention further provide an electronic device, which may include a processor and a memory, where the processor and the memory may be connected by a bus or in another manner.
The processor may be a Central Processing Unit (CPU). The Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (e.g., the testing module 20, the first obtaining module 22, the second obtaining module 24, and the processing module 26 shown in fig. 12) corresponding to the metal material corrosion resistance life prediction method in the embodiment of the present invention. The processor executes the non-transitory software program, instructions and modules stored in the memory, so as to execute various functional applications and data processing of the processor, that is, to implement the metal material corrosion-resistant life prediction method in the above method embodiment.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and such remote memory may be coupled to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory and, when executed by the processor, perform a metallic material corrosion life prediction method as in the embodiment of fig. 1-11.
The details of the electronic device may be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to 12, which are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A method for predicting corrosion resistance life of a metal material is characterized by comprising the following steps:
carrying out an accelerated corrosion test on a metal material to obtain a first accelerated corrosion rate of the metal material in the accelerated corrosion test;
acquiring an acceleration ratio of a standard sample corresponding to the metal material under the accelerated corrosion test and a preset atmospheric corrosion level;
determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio.
2. The method of claim 1, wherein determining the corrosion resistance life of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio comprises:
determining a first normal corrosion rate of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio;
obtaining the thickness of the metal material;
determining a corrosion resistance life of the metallic material at the atmospheric corrosion level based on the thickness and the first normal corrosion rate.
3. The method according to claim 1 or 2, characterized in that before obtaining the acceleration ratio of the accelerated corrosion test to the predetermined atmospheric corrosion level of a standard sample corresponding to the metallic material, it further comprises:
performing the accelerated corrosion test on the standard sample to obtain a second accelerated corrosion rate of the standard sample in the accelerated corrosion test;
acquiring a second normal corrosion rate of the standard sample under the atmospheric corrosion level;
and obtaining the acceleration ratio of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade according to the second accelerated corrosion rate and the second normal corrosion rate.
4. The method of claim 2, wherein determining a first normal corrosion rate of the metallic material at the atmospheric corrosion level based on the first accelerated corrosion rate and the acceleration ratio comprises:
determining a first normal corrosion rate of the metal material under the atmospheric corrosion grade by using a preset first formula according to the first accelerated corrosion rate and the acceleration ratio;
the first formula is:
wherein, R isiRepresents the first normal corrosion rate of the metal material under the atmospheric corrosion level(ii) a R'aRepresenting a first accelerated corrosion rate of the metallic material in the accelerated corrosion test; said KiRepresents the acceleration ratio of the metal material under the accelerated corrosion test to the atmospheric corrosion grade.
5. The method of claim 1, wherein determining the corrosion life of the metallic material at the atmospheric corrosion level based on the thickness and the first normal corrosion rate comprises:
determining the corrosion resistance service life of the metal material under the atmospheric corrosion grade by using a preset second formula according to the thickness and the first normal corrosion rate;
the second formula is:
wherein d represents a thickness of the metal material; d isminRepresents the minimum thickness allowed by the metal material; the R isiRepresents a first normal corrosion rate of the metallic material at the atmospheric corrosion level; the T isiRepresents the corrosion resistance life of the metal material under the atmospheric corrosion grade.
6. The method of claim 3, wherein deriving the acceleration ratio of the standard sample at the accelerated corrosion test to the atmospheric corrosion rating based on the second accelerated corrosion rate and the second normal corrosion rate comprises:
obtaining the acceleration ratio of the standard sample under the accelerated corrosion test and the preset atmospheric corrosion grade by using a preset third formula according to the second accelerated corrosion rate and the second normal corrosion rate;
the third formula is:
wherein, K isiRepresenting the acceleration ratio of the standard sample under the accelerated corrosion test and the atmospheric corrosion grade; said raRepresenting a second accelerated corrosion rate of the standard specimen in the accelerated corrosion test; said riRepresenting a second normal corrosion rate of said standard sample at said atmospheric corrosion level.
7. The method of claim 1, wherein the accelerated corrosion test comprises one or more of: the method comprises a week immersion corrosion test, a salt spray corrosion test and a damp heat aging corrosion test.
8. An apparatus for evaluating a corrosion-resistant life of a metallic material, comprising:
the test module is used for carrying out an accelerated corrosion test on the metal material;
the first acquisition module is used for acquiring a first accelerated corrosion rate of the metal material in the accelerated corrosion test;
the second acquisition module is used for acquiring the acceleration ratio of the standard sample corresponding to the metal material under the accelerated corrosion test and the preset atmospheric corrosion grade;
and the processing module is used for determining the corrosion resistance service life of the metal material under the atmospheric corrosion grade according to the first accelerated corrosion rate and the accelerated speed ratio.
9. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the method for predicting corrosion resistance life of a metallic material according to any one of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the metallic material corrosion life prediction method of any one of claims 1-7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113740140A (en) * | 2021-07-30 | 2021-12-03 | 淮浙电力有限责任公司凤台发电分公司 | Method for acquiring failure risk level of ferrite steel welded joint for thermal power plant |
| CN113866533A (en) * | 2021-08-25 | 2021-12-31 | 广东电网有限责任公司广州供电局 | Method and device for detecting electrical performance of power grid equipment, computer equipment and medium |
| CN114136875A (en) * | 2021-11-29 | 2022-03-04 | 国网山东省电力公司电力科学研究院 | Metal material corrosion rate prediction method and model |
| CN114154762A (en) * | 2021-12-31 | 2022-03-08 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Metal corrosion rate prediction method, device, computer equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105784578A (en) * | 2016-03-22 | 2016-07-20 | 全球能源互联网研究院 | Detection method for simulating accelerated corrosion of metal material in atmospheric environment |
| CN106769817A (en) * | 2016-11-26 | 2017-05-31 | 中国兵器工业第五九研究所 | A kind of standard component environmental suitability evaluation method based on mark post data |
| CN106841027A (en) * | 2017-03-02 | 2017-06-13 | 河钢股份有限公司 | The detection of simulation accelerated metal material acidic atmosphere environmental corrosion and evaluation method |
| CN107843545A (en) * | 2017-11-08 | 2018-03-27 | 中国电器科学研究院有限公司 | A kind of design method of the high polymer material xenon lamp accelerated aging test of simulation climate environment |
| CN110823792A (en) * | 2019-11-05 | 2020-02-21 | 南京钢铁股份有限公司 | Method for evaluating service life of low-alloy corrosion-resistant steel in atmospheric corrosion |
| CN111487185A (en) * | 2020-04-28 | 2020-08-04 | 全球能源互联网研究院有限公司 | Method for simulating atmospheric corrosion process of galvanized steel |
| CN112461735A (en) * | 2020-11-02 | 2021-03-09 | 航天科工防御技术研究试验中心 | Test method for accelerated corrosion |
-
2021
- 2021-05-07 CN CN202110497097.1A patent/CN113138158B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105784578A (en) * | 2016-03-22 | 2016-07-20 | 全球能源互联网研究院 | Detection method for simulating accelerated corrosion of metal material in atmospheric environment |
| CN106769817A (en) * | 2016-11-26 | 2017-05-31 | 中国兵器工业第五九研究所 | A kind of standard component environmental suitability evaluation method based on mark post data |
| CN106841027A (en) * | 2017-03-02 | 2017-06-13 | 河钢股份有限公司 | The detection of simulation accelerated metal material acidic atmosphere environmental corrosion and evaluation method |
| CN107843545A (en) * | 2017-11-08 | 2018-03-27 | 中国电器科学研究院有限公司 | A kind of design method of the high polymer material xenon lamp accelerated aging test of simulation climate environment |
| CN110823792A (en) * | 2019-11-05 | 2020-02-21 | 南京钢铁股份有限公司 | Method for evaluating service life of low-alloy corrosion-resistant steel in atmospheric corrosion |
| CN111487185A (en) * | 2020-04-28 | 2020-08-04 | 全球能源互联网研究院有限公司 | Method for simulating atmospheric corrosion process of galvanized steel |
| CN112461735A (en) * | 2020-11-02 | 2021-03-09 | 航天科工防御技术研究试验中心 | Test method for accelerated corrosion |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113740140A (en) * | 2021-07-30 | 2021-12-03 | 淮浙电力有限责任公司凤台发电分公司 | Method for acquiring failure risk level of ferrite steel welded joint for thermal power plant |
| CN113740140B (en) * | 2021-07-30 | 2024-03-22 | 淮浙电力有限责任公司凤台发电分公司 | Failure risk grade acquisition method for ferritic steel welded joint for thermal power plant |
| CN113866533A (en) * | 2021-08-25 | 2021-12-31 | 广东电网有限责任公司广州供电局 | Method and device for detecting electrical performance of power grid equipment, computer equipment and medium |
| CN114136875A (en) * | 2021-11-29 | 2022-03-04 | 国网山东省电力公司电力科学研究院 | Metal material corrosion rate prediction method and model |
| CN114154762A (en) * | 2021-12-31 | 2022-03-08 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Metal corrosion rate prediction method, device, computer equipment and storage medium |
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