CN114742481B - Special steel performance evaluation method and system based on components - Google Patents

Special steel performance evaluation method and system based on components Download PDF

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CN114742481B
CN114742481B CN202210652953.0A CN202210652953A CN114742481B CN 114742481 B CN114742481 B CN 114742481B CN 202210652953 A CN202210652953 A CN 202210652953A CN 114742481 B CN114742481 B CN 114742481B
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crystal
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special steel
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CN114742481A (en
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李佩
张骁
杨春启
储钱良
沈衡
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Suzhou Xianglou New Material Co ltd
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    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
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    • G01N33/204—Structure thereof, e.g. crystal structure
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention provides a composition-based special steel performance evaluation method and system, and relates to the technical field of artificial intelligence, wherein first composition information and first proportion information are obtained by performing composition detection on a first special steel material; carrying out structural analysis on the first special steel material to obtain first crystal information; performing performance analysis on the first application scene to obtain first performance deviation sorting information; performing performance evaluation on the first special steel material according to the first component information and the first proportion information to obtain a first performance evaluation result; adjusting the first performance evaluation result according to the first crystal information to obtain a second performance evaluation result; when the first performance deviation sorting information is not met, the first component information, the first proportion information and the first crystal information are optimized, the technical problem that the combination degree of special steel preparation process parameters and an application scene is difficult to guarantee due to the fact that the judgment is carried out by people through experience is solved, and the technical effect of obtaining special steel process parameters with high combination degree with the application scene is achieved.

Description

Special steel performance evaluation method and system based on components
Technical Field
The invention relates to the technical field of artificial intelligence correlation, in particular to a method and a system for evaluating special steel performance based on components.
Background
The special steel is the special steel, and is widely used in various industries such as machinery, automobiles, war industry, chemical industry, ships, manufacturing and the like, and has different performance requirements including requirements of stainless steel, heat-resistant steel, low-temperature-resistant steel and the like according to different use scenes, so that the research on the performance of the special steel is the current hot trend.
At present, when special steel is manufactured, application scenes are generally analyzed by depending on experience of professional technicians, then special steel preparation process parameters are set, and the combination degree of the special steel preparation process parameters and the application scenes is difficult to guarantee by subjective judgment of the professional technicians and depending on professional degrees of the professional technicians.
In the prior art, the technical problem that the combination degree of special steel preparation process parameters and application scenes is difficult to accurately evaluate exists due to the fact that the performance of steel is judged by depending on the experience of professional technicians.
Disclosure of Invention
The embodiment of the application provides a method and a system for evaluating the performance of special steel based on components, and solves the technical problem that in the prior art, the combination degree of special steel preparation process parameters and application scenes is difficult to guarantee due to the fact that the special steel depends on experience judgment of professional technicians.
In view of the above problems, the embodiments of the present application provide a method and a system for evaluating the performance of special steel based on composition.
In a first aspect, the embodiment of the present application provides a method for evaluating the performance of special steel based on composition, wherein the method includes: performing component detection on a first special steel material to obtain a first detection result, wherein the first detection result comprises first component information and first proportion information; carrying out structural analysis on the first special steel material to obtain first crystal information; performing performance analysis on the first application scene to obtain first performance deviation sorting information; performing performance evaluation on the first special steel material according to the first component information and the first proportion information to obtain a first performance evaluation result; adjusting the first performance evaluation result according to the first crystal information to obtain a second performance evaluation result; judging whether the second performance evaluation result meets the first performance deviation sorting information or not; and if not, optimizing the first component information, the first proportion information and the first crystal information based on the first performance deviation sorting information to obtain a first optimization result.
In another aspect, an embodiment of the present application provides a composition-based special steel performance evaluation system, where the system includes: the first obtaining unit is used for carrying out component detection on a first special steel material to obtain a first detection result, wherein the first detection result comprises first component information and first proportion information; the second obtaining unit is used for carrying out structural analysis on the first special steel material to obtain first crystal information; the third obtaining unit is used for performing performance analysis on the first application scene to obtain first performance deviation sorting information; a fourth obtaining unit, configured to perform performance evaluation on the first special steel material according to the first component information and the first proportion information, and obtain a first performance evaluation result; a fifth obtaining unit, configured to adjust the first performance evaluation result according to the first crystal information, and obtain a second performance evaluation result; the first judgment unit is used for judging whether the second performance evaluation result meets the first performance deviation sorting information or not; a sixth obtaining unit, configured to optimize the first component information, the first proportion information, and the first crystal information based on the first performance deviation sorting information if the first component information, the first proportion information, and the first crystal information are not satisfied, and obtain a first optimization result.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to any one of the first aspect when executing the program.
In a fourth aspect, the present application provides a computer-readable storage medium, where the storage medium has a computer program stored thereon, and the computer program, when executed by a processor, implements the method of any one of the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
because the component analysis is carried out on the special steel material, the component information and the proportion information are determined; determining crystal information by carrying out structural analysis on the special steel material; performing performance analysis on the application scene to determine performance deviation sorting information; performing performance evaluation on the special steel material according to the component information, the proportion information and the crystal information, and determining a performance evaluation result; when the performance evaluation result does not meet the performance deviation sorting information, the technical scheme of optimizing the composition information, the proportion information and the crystal information to further determine the optimized characterization result of the composition information, the proportion information and the crystal information is adopted, the performance evaluation result obtained based on the special steel composition and the proportion thereof and the crystal information of the characterization structure is compared with the performance deviation sorting information, and when the performance evaluation result does not meet the requirements, the special steel composition and the proportion thereof and the crystal information of the characterization structure are automatically optimized, so that the technical effect of obtaining the special steel process parameters with higher scene combination degree with the application is achieved.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
FIG. 1 is a schematic flow chart of a composition-based special steel performance evaluation method provided by an embodiment of the application;
FIG. 2 is a schematic flow chart of component analysis in a component-based special steel performance evaluation method provided by the embodiment of the application;
FIG. 3 is a schematic structural diagram of a special steel performance evaluation system based on components provided by an embodiment of the application;
fig. 4 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a first judging unit 16, a sixth obtaining unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The embodiment of the application provides a method and a system for evaluating the performance of special steel based on components, and solves the technical problem that in the prior art, the combination degree of special steel preparation process parameters and application scenes is difficult to guarantee due to the fact that the special steel depends on experience judgment of professional technicians. The embodiment of the application provides a method and a system for evaluating the performance of special steel based on components. By comparing the performance evaluation result obtained based on the special steel components and the proportion thereof and the crystal information of the characteristic structure with the performance deviation sorting information, the special steel components and the proportion thereof and the crystal information of the characteristic structure are automatically optimized when the performance evaluation result is not satisfied, and the technical effect of obtaining the special steel process parameters with higher combination degree with the application scene is further achieved.
Summary of the application
The combination degree of the special steel material performance and the application scene is a key point for ensuring that the special steel material can be fully utilized, the performance of the special steel material is usually determined by evaluating historical experience data summarized by professionals at present, and then the combination degree of the special steel material performance and the application scene is judged.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a method and a system for evaluating the performance of special steel based on components. Because the component analysis is carried out on the special steel material, the component information and the proportion information are determined; determining crystal information by carrying out structural analysis on the special steel material; performing performance analysis on the application scene to determine performance deviation sorting information; performing performance evaluation on the special steel material according to the component information, the proportion information and the crystal information, and determining a performance evaluation result; when the performance evaluation result does not meet the performance deviation sorting information, the technical scheme of optimizing the composition information, the proportion information and the crystal information to further determine the optimized characterization result of the composition information, the proportion information and the crystal information is adopted, the performance evaluation result obtained based on the special steel composition and the proportion thereof and the crystal information of the characterization structure is compared with the performance deviation sorting information, and when the performance evaluation result does not meet the requirements, the special steel composition and the proportion thereof and the crystal information of the characterization structure are automatically optimized, so that the technical effect of obtaining the special steel process parameters with higher scene combination degree with the application is achieved.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a composition-based method for evaluating the performance of special steel, wherein the method includes:
s100: performing component detection on a first special steel material to obtain a first detection result, wherein the first detection result comprises first component information and first proportion information;
specifically, the first special steel material refers to special steel materials for various fields and scene requirements, including but not limited to: steel products in the fields of machinery, automobiles, military industry, chemical industry, household appliances, ships, traffic, railways, emerging industries and the like; low-end special steel products mainly made of high-quality carbon structural steel, medium-end special steel products represented by alloy steel; and special steel materials such as high-end special steel products including stainless steel, tool steel, die steel, and high-speed steel.
The first detection result refers to component information determined after component detection is performed on the first special steel material, and the component information comprises first component information for representing component molecules and first proportion information for representing proportions among the components, wherein component detection can be performed in one or more modes capable of achieving metal material component detection by using a spectrophotometry method, an atomic absorption spectrometry method, an X-ray fluorescence spectrometry method and the like. The first component information includes, but is not limited to: metal elements: chromium, iron, manganese, aluminum, tungsten, nickel, vanadium, molybdenum, and the like, nonmetal elements: the steel comprises one or more of carbon, phosphorus, silicon and the like, the first proportion information is proportion data of the first component information, and different proportions of the components can enable special steel to have different special properties, such as: the wear resistance of the special steel can be increased by chromium, the hardness of the steel can be increased by carbon, and the like, and the basic performance of the first special steel material can be determined by determining the first component information and the first proportion information, so that a data analysis basis is provided for the performance evaluation in the subsequent step.
S200: carrying out structural analysis on the first special steel material to obtain first crystal information;
specifically, the first crystal information refers to a set of information characterizing the crystal structure of the first special steel material, and the crystal characteristic information includes, but is not limited to, any one or more of crystal structure characteristics of solid solution and crystal structure characteristics of metal compounds, wherein the solid solution refers to an alloy phase in which solute atoms dissolve in a crystal lattice of a solvent and also maintain the type of the solvent, and the metal compounds refer to two elements in the alloy which are combined with each other according to a certain atomic number ratio to form a compound having a crystal lattice completely different from the two elements. The special steel material is generally an alloy for ensuring the performance, and the solid solution crystal structure characteristics in the alloy and the different structures of the metal compound crystals surrounding the solid solution crystals are different in distribution positions. The size, number, etc. of the crystals will have a large influence on the properties of the first special steel material.
The first crystal information is a result obtained after the special steel material is prepared in a preparation process mode and the like on the premise of the first component information and the first proportion information, so that the preparation process information of the special steel material can be represented, the key elements of the performance evaluation of the first special steel material can be comprehensively represented by combining the first crystal information, the first component information and the first proportion information, and the accuracy of the performance evaluation of the first special steel material is further guaranteed.
S300: performing performance analysis on the first application scene to obtain first performance deviation sorting information;
specifically, the first application scenario refers to scenario information of the first special steel material pre-use, exemplarily: such as: special steel application scenes such as alloy tool steel, spring steel, bearing steel, piano steel wires, heat-resistant steel, stainless steel, wear-resistant steel and the like; the first performance deviation ranking information refers to a result of ranking the performance deviation values that the first special steel material should have according to the first application scenario, such as exemplarily: firstly, sequencing: if the steel is refractory steel, the high-temperature resistance performance is ranked in the front optionally, the steel is characterized as more important performance, and other performance indexes related to the high-temperature resistance performance, such as oxidation resistance, high-temperature strength and the like, are ranked behind the high-temperature resistance performance immediately, and other performance indexes unrelated to the high-temperature resistance performance are ranked behind the high-temperature resistance performance, and are ranked according to other scene performance elements; traversing the sorting result, matching a bias value, wherein the bias value refers to information representing each performance threshold, exemplarily: and storing deviation values such as a high temperature resistance threshold, a strength threshold, a ductility threshold and the like in a one-to-one correspondence manner to generate first performance deviation sorting information.
The preferred determination mode of the first performance bias ranking information is that the first performance bias ranking information is determined by constructing based on big data: the application scene-performance deviation sorting database is used for correspondingly storing application scene-performance deviation sorting evaluation information uploaded by experts or organizations or manufacturers based on big data collection authority, generating an application scene-performance deviation sorting database, setting a preset period for updating the database, and ensuring the timeliness of data.
S400: performing performance evaluation on the first special steel material according to the first component information and the first proportion information to obtain a first performance evaluation result;
specifically, the first performance evaluation result refers to a result determined after performance evaluation is performed on the first special steel material according to the first component information and the first proportion information which are in one-to-one correspondence, and different components in the first special steel material correspond to different performances, for example: carbon may serve as a hardening element of the steel, tungsten may enhance the wear resistance of the steel, vanadium may enhance the wear resistance and ductility of the steel, different proportions of the same composition in the first special steel material correspond to different properties, exemplarily: the steel contains more than 0.6% of carbon, and is high carbon steel, stainless steel with 13% of chromium. Due to the fact that the components and the proportion thereof are determined, the performance of the first special steel material is easy to evaluate, and the determination mode can be selected as follows: and determining the primary performance according to the components, further adjusting the primary performance according to the proportion to determine a first performance evaluation result, storing the first performance evaluation result, setting the first performance evaluation result as a state to be responded, and facilitating the subsequent quick calling.
S500: adjusting the first performance evaluation result according to the first crystal information to obtain a second performance evaluation result;
specifically, the second performance evaluation result refers to a result of performing performance evaluation on the first special steel material on the basis of the first performance evaluation result according to the first crystal information, and the performance of the first special steel material affects two main sources, namely, the component and the proportion of the first special steel material are determined as the first performance evaluation result; and secondly, a preparation process of the first special steel material, wherein the influence of the preparation process is reflected on a metallographic structure of the first special steel material after the first special steel material is formed, and the first performance evaluation result is further adjusted through the metallographic structure, so that a second performance evaluation result is determined, and the comprehensive evaluation of the performance of the first special steel material is realized.
The second performance evaluation result is preferably determined by evaluation through an intelligent model and a default multichannel neural network model, because the influence of a metallographic structure on the first special steel material is complex, for example: the crystal structure characteristics of the solid solution in the alloy and the different structures of the metal compound crystals surrounding the solid solution crystals, the two are distributed at different positions. The size, the number and the like of the crystals have great influence on the performance of the first special steel material, so that the crystals are difficult to summarize by a conventional means, and the neural network model has strong fitting capability in processing a large amount of complex data and can obtain a result with stable and accurate output after being trained and converged.
The performance of the first special steel material is comprehensively evaluated, the second performance evaluation result is used for representing, the subsequent step and the first performance deviation sorting information are conveniently compared, whether the second performance evaluation result of the current first special steel material meets the first performance deviation sorting information or not is judged, corresponding processing is carried out according to the judgment result, and the special steel material with high application scene combination degree can be obtained.
S600: judging whether the second performance evaluation result meets the first performance deviation sorting information or not;
s700: and if not, optimizing the first component information, the first proportion information and the first crystal information based on the first performance deviation sorting information to obtain a first optimization result.
Specifically, whether the second performance evaluation result meets the first performance deviation sorting information is judged, and according to comparison between each specific performance value in the second performance evaluation result and the performance deviation value in the first performance deviation sorting information, whether the corresponding deviation values are met or not is determined, if all the performance deviation values are met, the performance of the first special steel material is suitable for a first application scene; if any one performance deviation value is not met, the performance of the first special steel material is not suitable for the first application scene, and the first component information, the first proportion information and the first crystal information need to be optimized until the first component information, the first proportion information and the first crystal information which are suitable for the first application scene are determined, and then the first special steel material is prepared according to the optimization result.
The first component information, the first proportion information and the first crystal information of the first special steel material which does not meet the first performance deviation sorting information are optimized, so that the finally prepared first special steel material and the first application scene are guaranteed to be high in combination degree.
Further, as shown in fig. 2, based on the component detection of the first special steel material, a first detection result is obtained, where the first detection result includes first component information and first proportion information, and step S100 includes:
s110: analyzing metal element components of the first special steel material to obtain first element component information, wherein the first element component information comprises first basic element information and first rare element information, and is in one-to-one correspondence with first element component proportion information;
s120: performing non-metal component analysis on the first special steel material to obtain second element component information, wherein the second element component information corresponds to second element component proportion information one to one;
s130: adding the first basic element information, the first rare element information, and the second element component information into the first component information;
s140: adding the first element component ratio information and the second element component ratio information to the first ratio information.
Specifically, the first element composition information refers to metal elements of the first special steel material, including but not limited to: metal elements such as iron, aluminum, manganese, nickel, molybdenum and the like; the first elemental information refers to conventionally seen metal elements, illustratively as: iron, aluminum, etc., i.e., elements of the metal type which must be contained in general metals; the first rare element information refers to rare metal elements, illustratively such as: metal elements such as nickel, molybdenum and the like, namely rare metal elements selectively added by metal according to actual performance requirements; the first element component ratio information refers to metal element ratio information corresponding to the first element component information one to one. The second element composition information refers to non-metallic elements of the first special steel material, including but not limited to: and the second element component proportion information refers to non-metal element occupation proportion data which corresponds to the second element component information one by one.
Adding first basic element information, first rare element information, and second element composition information to the first composition information; and adding the first element component proportion information and the second element component proportion information into the first proportion information so as to determine the first component information and the first proportion information which correspond to each other one by one. The component analysis of the first special steel material is carried out in a multidimensional way, so that the accuracy of the component analysis result of the first special steel material is ensured, and the information feedback basis is laid for carrying out accurate performance evaluation in the next step.
Further, based on the structural analysis of the first special steel material, first crystal information is obtained, and the step S200 includes:
s210: conveying the first special steel material to a first SEM scanning device to obtain a first metallographic scanning picture;
s220: performing first-level clustering analysis on the first metallographic scanning image to obtain a first clustering result, wherein the first clustering result comprises a first solid solution type;
s230: performing secondary clustering analysis on the first metallographic scanning image to obtain a second clustering result, wherein the second clustering result comprises a first metal compound type;
s240: and traversing the first solid solution type and the first metal compound type to perform crystal characteristic analysis to obtain the first crystal information.
Specifically, the first SEM scanning device is a scanning electron microscope and can be used for carrying out image acquisition on a first special steel material so as to determine a metallographic structure diagram; the first metallographic scanogram is a result of image acquisition of the first special steel material through the first SEM scanning equipment, and the metallographic phase refers to a metal crystalline phase.
The first clustering result refers to a result obtained by clustering a first preset type of metal crystal phase on the first metallographic scanning chart, wherein the first preset type is preferably a solid solution type, and the clustering mode is preferably as follows: and performing three-level clustering based on the structural characteristics, sizes and distribution positions of the solid solutions, wherein the first level is to perform clustering through the distribution positions of the solid solutions, the second level is to perform crystal size clustering on the clustering result traversing the distribution positions, and the third level is to perform structural characteristic clustering on the clustering result traversing the second level to obtain a first clustering result.
The second clustering result refers to a result obtained by clustering a second preset type of metal crystal phase of the first metallographic scanning image, wherein the second preset type is preferably a metal compound type, and the clustering mode is preferably as follows: and performing multi-level clustering based on the type, size and distribution position of the metal compound type, wherein the first level is to perform clustering through the distribution position of the metal compound, the second level is to perform crystal size clustering for the clustering result traversing the distribution position, and the third level is to perform structural feature clustering for the clustering result traversing the second level to obtain a second clustering result. The crystal characteristics obtained by clustering are added to the first crystal information, and the state is set as a state to be responded, so that the subsequent quick calling is facilitated.
Further, performing crystal feature analysis based on the traversal of the first solid solution type and the first metal compound type to obtain the first crystal information, where step S240 includes:
s241: traversing the first solid solution type and the first metal compound type to extract crystal structure characteristics to obtain first crystal lattice characteristic information;
s242: traversing the first solid solution type and the first metal compound type to perform crystal quantity characteristic extraction to obtain first crystal quantity characteristic information;
s243: traversing the first solid solution type and the first metal compound type to perform crystal distribution characteristic extraction to obtain first crystal position characteristic information;
s245: adding the first crystal lattice characteristic information, the first crystal quantity characteristic information, and the first crystal position characteristic information to the first crystal information.
Specifically, in the cluster described immediately above: the first crystal lattice characteristic information is characteristic information determined by carrying out crystal structure characteristic acquisition on a certain region of the first metal compound distributed on the first solid solution; the first crystal quantity characteristic information refers to a result of counting the quantities of different cluster types; the first crystal position characteristic information is the distribution position information of the first solid solution type and the first metal compound type in the metallographic phase. The first solid solution type and the first metal compound type in the same region are obtained by integrating the characteristic information in the clusters of the first solid solution type and the first metal compound type, namely the lattice characteristic, the number characteristic and the distribution position characteristic of the first metal compound distributed in the region on the first solid solution, and then the size characteristic in the clustering result is combined to complete the coupling of the solid solution crystal information and the metal compound crystal information, and the performance of the first special steel material can be comprehensively evaluated from the crystal structure layer surface by combining the single solid solution crystal information and the single metal compound crystal information.
Further, based on the adjusting the first performance evaluation result according to the first crystal information, a second performance evaluation result is obtained, and step S500 includes:
s510: constructing a first performance tuning channel, wherein the first performance tuning channel comprises a first solid solution performance evaluation layer, a first metal compound performance evaluation layer, and a first coupling performance evaluation layer;
s520: obtaining first solid solution crystal information and first metal compound crystal information according to the first crystal information;
s530: inputting the first performance evaluation result and the first solid solution crystal information into the first solid solution performance evaluation layer to obtain a first solid solution performance evaluation result;
s540: inputting the first performance evaluation result and the first metal compound crystal information into the first metal compound performance evaluation layer to obtain a first metal compound performance evaluation result;
s550: inputting the first metal compound performance evaluation result, the first crystal quantity characteristic information and the first crystal position characteristic information into the first coupling performance evaluation layer to obtain the second performance evaluation result.
Further, based on the building of the first performance tuning channel, step S510 includes:
s511: obtaining first historical data, wherein the first historical data comprises a plurality of groups: elemental property evaluation results and crystal characteristic information;
s512: training the first solid solution performance evaluation layer according to the first historical data;
s513: training the first metal compound performance evaluation layer according to the first historical data,
s514: training the first coupling performance evaluation layer according to the first historical data;
s515: and connecting the first solid solution performance evaluation layer and the first metal compound performance evaluation layer in parallel to form a first treatment layer, and connecting the first coupling performance evaluation layer after the first treatment layer to form the first performance adjustment channel.
Specifically, the first performance adjustment channel refers to an intelligent processing module for adjusting a first performance evaluation result by evaluating first crystal information, and comprises a first solid solution performance evaluation layer, a first metal compound performance evaluation layer, a first coupling performance evaluation layer:
the first solid solution performance evaluation layer refers to a treatment layer for performing performance evaluation on solid solution crystal information, and preferably collects first historical data comprising a plurality of groups: the element performance evaluation result is the performance evaluation result obtained by only depending on the element as the performance evaluation in the historical data; the crystal characteristic information is solid solution crystal characteristic information, metal compound crystal characteristic information and solid solution and metal compound crystal characteristic coupling information, and only relates to a first solid solution performance evaluation layer, so that the solid solution crystal characteristic information is selected, namely, an element performance evaluation result and the solid solution crystal characteristic information are used as input training data, the first solid solution performance evaluation layer is constructed through unsupervised learning based on an artificial neural network, and the training is stopped when the first solid solution performance evaluation layer reaches convergence, so that the construction is completed.
The first metal compound performance evaluation layer refers to a processing layer for performing performance evaluation on metal compound crystal information, and preferably collects first historical data comprising a plurality of sets of: the element performance evaluation result is the performance evaluation result obtained by only depending on the element as the performance evaluation in the historical data; the crystal characteristic information is solid solution crystal characteristic information, metal compound crystal characteristic information and solid solution and metal compound crystal characteristic coupling information, and only relates to a first metal compound performance evaluation layer, so that the metal compound crystal characteristic information is selected, namely, an element performance evaluation result and the metal compound crystal characteristic information are used as input training data, the first metal compound performance evaluation layer is constructed through unsupervised learning based on an artificial neural network, and the training is stopped when the first metal compound performance evaluation layer reaches convergence, so that the construction is completed.
The first coupling performance evaluation layer refers to a processing layer for performing performance evaluation on the coupling crystal information, and preferably collects first historical data comprising a plurality of sets: the element performance evaluation result is the performance evaluation result obtained by only depending on the element as the performance evaluation in the historical data; the crystal characteristic information is solid solution crystal characteristic information, metal compound crystal characteristic information and solid solution and metal compound crystal characteristic coupling information, and only relates to a first coupling performance evaluation layer, so that the solid solution and metal compound crystal characteristic coupling information is selected, namely, an element performance evaluation result and the solid solution and metal compound crystal characteristic coupling information are used as input training data, the first coupling performance evaluation layer is constructed through unsupervised learning based on an artificial neural network, and the training is stopped when the first coupling performance evaluation layer reaches convergence, so that the construction is completed.
The method comprises the following steps of connecting a first solid solution performance evaluation layer and a first metal compound performance evaluation layer in parallel to form a first processing layer, connecting the first coupling performance evaluation layer after the first processing layer completely, generating a first performance adjustment channel, connecting the first coupling performance evaluation layer after the first processing layer completely by using the first solid solution performance evaluation layer and the first metal compound performance evaluation layer as parallel node models of the first processing layer, generating the first performance adjustment channel, wherein the basic structure of the first performance adjustment channel is as follows: input layer-first treatment layer (first solid solution performance evaluation layer + first metal compound performance evaluation layer) -first coupling performance evaluation layer-output layer. The performance influence caused by a complex crystal structure can be evaluated based on the neural network, and the accuracy of performance evaluation is improved.
Further, based on the optimizing the first component information, the first proportion information, and the first crystal information, a first optimization result is obtained, and step S700 includes:
s710: obtaining a first performance deviation threshold value according to the first performance deviation sorting information;
s720: matching second historical data based on the first component information, the first scale information, and the first crystal information;
s730: constructing a first three-dimensional coordinate system based on the second historical data by taking the first component information, the first proportion information and the first crystal information as coordinate origins;
s740: and positioning the first three-dimensional coordinate system through the first performance deviation threshold value to obtain the first optimization result.
Specifically, the first performance deviation threshold refers to a result obtained by extracting deviation thresholds of various performances of the first performance deviation sorting information; the second historical data refers to the result obtained by storing the component information, the proportion information and the crystal information of the special steel which is matched and applied to the scene similar to the first application scene based on the first component information, the first proportion information and the first crystal information, and the performances corresponding to the special steel corresponding to a plurality of groups of component information, proportion information and crystal information in the historical data are determined; the first three-dimensional coordinate system is a virtual optimization space which is constructed by taking first component information, first proportion information and first crystal information as coordinate origin and taking a plurality of groups of component information, proportion information and crystal information in historical data as coordinate axis data respectively, wherein the component information and the proportion information are used as reference bases according to the change of a certain component, carbon is preferred, coordinate identification is carried out, and different structures are subjected to different coordinate identifications by the crystal information, so that the component information, the proportion information and the crystal information are quantitatively characterized on a coordinate axis; furthermore, the first three-dimensional coordinate system is positioned at the first performance deviation threshold, so that fixed component information, proportion information and crystal information can be determined, the first special steel material is prepared for the reference in sequence, and the first special steel material can be guaranteed to be suitable for a first application scene.
The component information, the proportion information and the crystal information under different performances are represented by different coordinate positions in the first three-dimensional coordinate system, and because a plurality of groups of component information, proportion information and crystal information in historical data under the first three-dimensional coordinate system have regular change sequences, a certain inherent rule that the performances change along with the component information, the proportion information and the crystal information can be captured, and further more excellent component information, proportion information and crystal information which do not appear in the historical data can be obtained.
In summary, the method and the system for evaluating the performance of the special steel based on the components provided by the embodiment of the application have the following technical effects:
1. because the component analysis is carried out on the special steel material, the component information and the proportion information are determined; determining crystal information by carrying out structural analysis on the special steel material; performing performance analysis on the application scene to determine performance deviation sorting information; performing performance evaluation on the special steel material according to the component information, the proportion information and the crystal information, and determining a performance evaluation result; when the performance evaluation result does not meet the performance deviation sorting information, the technical scheme of optimizing the composition information, the proportion information and the crystal information to further determine the optimized characterization result of the composition information, the proportion information and the crystal information is adopted, the performance evaluation result obtained based on the special steel composition and the proportion thereof and the crystal information of the characterization structure is compared with the performance deviation sorting information, and when the performance evaluation result does not meet the requirements, the special steel composition and the proportion thereof and the crystal information of the characterization structure are automatically optimized, so that the technical effect of obtaining the special steel process parameters with higher scene combination degree with the application is achieved.
Example two
Based on the same inventive concept as the composition-based special steel performance evaluation method in the previous embodiment, as shown in fig. 3, the embodiment of the present application provides a composition-based special steel performance evaluation system, wherein the system comprises:
the first obtaining unit 11 is configured to perform component detection on a first special steel material to obtain a first detection result, where the first detection result includes first component information and first proportion information;
the second obtaining unit 12 is configured to perform structural analysis on the first special steel material to obtain first crystal information;
a third obtaining unit 13, configured to perform performance analysis on the first application scenario to obtain first performance deviation sorting information;
a fourth obtaining unit 14, configured to perform performance evaluation on the first special steel material according to the first component information and the first proportion information, so as to obtain a first performance evaluation result;
a fifth obtaining unit 15, configured to adjust the first performance evaluation result according to the first crystal information, so as to obtain a second performance evaluation result;
a first judging unit 16, configured to judge whether the second performance evaluation result satisfies the first performance deviation ranking information;
a sixth obtaining unit 17, configured to optimize the first component information, the first proportion information, and the first crystal information based on the first performance deviation sorting information if the first component information, the first proportion information, and the first crystal information are not satisfied, and obtain a first optimization result.
Further, the system further comprises:
a seventh obtaining unit, configured to perform metal element component analysis on the first special steel material to obtain first element component information, where the first element component information includes first basic element information and first rare element information, and is in one-to-one correspondence with first element component proportion information;
the eighth obtaining unit is used for carrying out non-metal component analysis on the first special steel material to obtain second element component information, wherein the second element component information corresponds to the second element component proportion information one to one;
a first adding unit configured to add the first basic element information, the first rare element information, and the second element component information into the first component information;
a second adding unit configured to add the first element component ratio information and the second element component ratio information to the first ratio information.
Further, the system further comprises:
a ninth obtaining unit, configured to convey the first special steel material to a first SEM scanning apparatus, so as to obtain a first metallographic scanning chart;
a tenth obtaining unit, configured to perform first-level clustering analysis on the first metallographic scanning map to obtain a first clustering result, where the first clustering result includes a first solid solution type;
an eleventh obtaining unit, configured to perform secondary clustering analysis on the first metallographic scanning map to obtain a second clustering result, where the second clustering result includes a first metal compound type;
a twelfth obtaining unit, configured to perform crystal feature analysis by traversing the first solid solution type and the first metal compound type, so as to obtain the first crystal information.
Further, the system further comprises:
a thirteenth obtaining unit, configured to perform crystal structure feature extraction by traversing the first solid solution type and the first metal compound type, so as to obtain first crystal lattice feature information;
a fourteenth obtaining unit, configured to perform crystal quantity feature extraction by traversing the first solid solution type and the first metal compound type, so as to obtain first crystal quantity feature information;
a fifteenth obtaining unit, configured to traverse the first solid solution type and the first metal compound type to perform crystal distribution feature extraction, so as to obtain first crystal position feature information;
a third adding unit configured to add the first crystal lattice characteristic information, the first crystal quantity characteristic information, and the first crystal position characteristic information to the first crystal information.
Further, the system further comprises:
a first construction unit configured to construct a first performance tuning channel, wherein the first performance tuning channel includes a first solid solution performance evaluation layer, a first metal compound performance evaluation layer, and a first coupling performance evaluation layer;
a sixteenth obtaining unit configured to obtain first solid solution crystal information and first metal compound crystal information based on the first crystal information;
a seventeenth obtaining unit configured to input the first performance evaluation result and the first solid solution crystal information into the first solid solution performance evaluation layer to obtain a first solid solution performance evaluation result;
an eighteenth obtaining unit configured to input the first performance evaluation result and the first metal compound crystal information into the first metal compound performance evaluation layer, and obtain a first metal compound performance evaluation result;
a nineteenth obtaining unit, configured to input the first metal compound performance evaluation result, the first crystal quantity characteristic information, and the first crystal position characteristic information into the first coupling performance evaluation layer, and obtain the second performance evaluation result.
Further, the system further comprises:
a twentieth obtaining unit configured to obtain first history data, wherein the first history data includes a plurality of sets: elemental property evaluation results and crystal characteristic information;
a first training unit, configured to train the first solid solution performance evaluation layer according to the first historical data;
the second training unit is used for training the first metal compound performance evaluation layer according to the first historical data;
a third training unit, configured to train the first coupling performance evaluation layer according to the first historical data;
and the first processing unit is used for connecting the first solid solution performance evaluation layer and the first metal compound performance evaluation layer in parallel to form a first processing layer, and generating the first performance adjusting channel after the first coupling performance evaluation layer is connected in full behind the first processing layer.
Further, the system further comprises:
a twenty-first obtaining unit, configured to obtain a first performance deviation threshold according to the first performance deviation sorting information;
a first matching unit configured to match second history data based on the first component information, the first scale information, and the first crystal information;
a second construction unit, configured to construct a first three-dimensional coordinate system based on the second historical data, with the first component information, the first scale information, and the first crystal information as a coordinate origin;
and a twenty-second obtaining unit, configured to locate the first three-dimensional coordinate system according to the first performance deviation threshold, and obtain the first optimization result.
EXAMPLE III
Based on the same inventive concept as the method for evaluating the performance of the special steel based on the components in the previous embodiment, the embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program realizes the method in any one of the embodiments when being executed by a processor.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 4.
Based on the same inventive concept as the component-based special steel performance evaluation method in the foregoing embodiment, the embodiment of the present application further provides an electronic device, including: a processor coupled to a memory, the memory to store a program that, when executed by the processor, causes a system to perform the method of any of the embodiments.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of programs in accordance with the teachings of the present application.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (compact disc)
read-only memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement a method for evaluating the performance of special steel based on composition provided in the above-mentioned embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application provides a method and a system for evaluating the performance of special steel based on components. Because the component analysis is carried out on the special steel material, the component information and the proportion information are determined; determining crystal information by carrying out structural analysis on the special steel material; performing performance analysis on an application scene to determine performance deviation sorting information; performing performance evaluation on the special steel material according to the component information, the proportion information and the crystal information, and determining a performance evaluation result; when the performance evaluation result does not meet the performance deviation sorting information, the technical scheme of optimizing the composition information, the proportion information and the crystal information to further determine the optimized characterization result of the composition information, the proportion information and the crystal information is adopted, the performance evaluation result obtained based on the special steel composition and the proportion thereof and the crystal information of the characterization structure is compared with the performance deviation sorting information, and when the performance evaluation result does not meet the requirements, the special steel composition and the proportion thereof and the crystal information of the characterization structure are automatically optimized, so that the technical effect of obtaining the special steel process parameters with higher scene combination degree with the application is achieved.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer finger
The instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, where the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.

Claims (9)

1. A method for evaluating the performance of special steel based on components is characterized by comprising the following steps:
performing component detection on a first special steel material to obtain a first detection result, wherein the first detection result comprises first component information and first proportion information;
carrying out structural analysis on the first special steel material to obtain first crystal information;
performing performance analysis on the first application scene to obtain first performance deviation sorting information;
performing performance evaluation on the first special steel material according to the first component information and the first proportion information to obtain a first performance evaluation result;
adjusting the first performance evaluation result according to the first crystal information to obtain a second performance evaluation result;
judging whether the second performance evaluation result meets the first performance deviation sorting information or not;
if not, optimizing the first component information, the first proportion information and the first crystal information based on the first performance deviation sorting information to obtain a first optimization result, wherein the optimizing the first component information, the first proportion information and the first crystal information to obtain a first optimization result includes:
obtaining a first performance deviation threshold value according to the first performance deviation sorting information;
matching second historical data based on the first component information, the first scale information, and the first crystal information;
constructing a first three-dimensional coordinate system based on the second historical data by taking the first component information, the first proportion information and the first crystal information as coordinate origins;
and positioning the first three-dimensional coordinate system through the first performance deviation threshold value to obtain the first optimization result.
2. The method according to claim 1, wherein the component detection is performed on the first special steel material to obtain a first detection result, wherein the first detection result comprises first component information and first proportion information, and comprises:
analyzing metal element components of the first special steel material to obtain first element component information, wherein the first element component information comprises first basic element information and first rare element information, and is in one-to-one correspondence with first element component proportion information;
performing non-metal component analysis on the first special steel material to obtain second element component information, wherein the second element component information corresponds to second element component proportion information one to one;
adding the first basic element information, the first rare element information, and the second element component information into the first component information;
adding the first element component ratio information and the second element component ratio information to the first ratio information.
3. The method of claim 1, wherein the performing a structural analysis on the first special steel material to obtain first crystal information comprises:
conveying the first special steel material to first SEM scanning equipment to obtain a first metallographic scanning image;
performing first-level clustering analysis on the first metallographic scanning image to obtain a first clustering result, wherein the first clustering result comprises a first solid solution type;
performing secondary clustering analysis on the first metallographic scanning image to obtain a second clustering result, wherein the second clustering result comprises a first metal compound type;
and traversing the first solid solution type and the first metal compound type to perform crystal characteristic analysis to obtain the first crystal information.
4. The method of claim 3, wherein said traversing said first solid solution type and said first metal compound type for crystal feature analysis to obtain said first crystal information comprises:
traversing the first solid solution type and the first metal compound type to extract crystal structure characteristics to obtain first crystal lattice characteristic information;
traversing the first solid solution type and the first metal compound type to extract crystal quantity characteristics to obtain first crystal quantity characteristic information;
traversing the first solid solution type and the first metal compound type to extract crystal distribution characteristics to obtain first crystal position characteristic information;
adding the first crystal lattice characteristic information, the first crystal quantity characteristic information, and the first crystal position characteristic information to the first crystal information.
5. The method of claim 4, wherein said adjusting the first performance assessment result based on the first crystal information to obtain a second performance assessment result comprises:
constructing a first performance tuning channel, wherein the first performance tuning channel comprises a first solid solution performance evaluation layer, a first metal compound performance evaluation layer, and a first coupling performance evaluation layer;
obtaining first solid solution crystal information and first metal compound crystal information according to the first crystal information;
inputting the first performance evaluation result and the first solid solution crystal information into the first solid solution performance evaluation layer to obtain a first solid solution performance evaluation result;
inputting the first performance evaluation result and the first metal compound crystal information into the first metal compound performance evaluation layer to obtain a first metal compound performance evaluation result;
inputting the first metal compound performance evaluation result, the first crystal quantity characteristic information and the first crystal position characteristic information into the first coupling performance evaluation layer to obtain the second performance evaluation result.
6. The method of claim 5, wherein said constructing a first performance tuning channel comprises:
obtaining first historical data, wherein the first historical data comprises a plurality of groups: elemental property evaluation results and crystal characteristic information;
training the first solid solution performance evaluation layer according to the first historical data;
training the first metal compound performance evaluation layer according to the first historical data;
training the first coupling performance evaluation layer according to the first historical data;
and connecting the first solid solution performance evaluation layer and the first metal compound performance evaluation layer in parallel to form a first treatment layer, and connecting the first coupling performance evaluation layer after the first treatment layer to form the first performance adjustment channel.
7. A composition-based special steel performance evaluation system, the system comprising:
the first obtaining unit is used for carrying out component detection on a first special steel material to obtain a first detection result, wherein the first detection result comprises first component information and first proportion information;
the second obtaining unit is used for carrying out structural analysis on the first special steel material to obtain first crystal information;
the third obtaining unit is used for carrying out performance analysis on the first application scene to obtain first performance deviation sorting information;
a fourth obtaining unit, configured to perform performance evaluation on the first special steel material according to the first component information and the first proportion information, and obtain a first performance evaluation result;
a fifth obtaining unit, configured to adjust the first performance evaluation result according to the first crystal information, and obtain a second performance evaluation result;
the first judgment unit is used for judging whether the second performance evaluation result meets the first performance deviation sorting information or not;
a sixth obtaining unit, configured to optimize, based on the first performance deviation sorting information, the first component information, the first proportion information, and the first crystal information to obtain a first optimization result if the first performance deviation sorting information is not satisfied, where the optimizing the first component information, the first proportion information, and the first crystal information to obtain a first optimization result includes:
a twenty-first obtaining unit, configured to obtain a first performance deviation threshold according to the first performance deviation sorting information;
a first matching unit configured to match second history data based on the first component information, the first scale information, and the first crystal information;
a second construction unit, configured to construct a first three-dimensional coordinate system based on the second historical data, with the first component information, the first scale information, and the first crystal information as a coordinate origin;
a twenty-second obtaining unit, configured to locate the first three-dimensional coordinate system through the first performance deviation threshold, and obtain the first optimization result.
8. An electronic device, comprising: a processor coupled with a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1-6.
9. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method of any one of claims 1-6.
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