A method, system and device for quantitative decoupling calculation of multiphase distribution of alloying elements

Abstract

The application provides a quantitative decoupling calculation method, system and device for polyphase distribution of alloy elements, which effectively solves the problem that the prior art cannot accurately and effectively realize the accurate identification and quantitative separation of the mass attribution of alloy elements between non-metallic inclusions and a metal matrix. The method comprises the following steps: continuously collecting at least a first target number of fields of view, obtaining a large sample of inclusion particle two-dimensional equivalent diameters and two-dimensional particle number densities based on the fields of view; converting the two-dimensional equivalent diameters into real average diameters, calculating the three-dimensional real total volume fraction of the inclusion group; extracting the mass percentage of each oxide phase precipitated in the equilibrium inclusion and the theoretical density of each pure phase through macroscopic multi-element total extraction, and calculating the overall average density according to a mass-weighted harmonic average physical model; and establishing a stripping calculation model to quantitatively decouple the absorbed mass fraction of alloy elements in non-metallic inclusions and the real solid solution mass fraction in the weld matrix.

Description

Technical Field

[0001] This application relates to the fields of welding metallurgy and materials characterization technology, and more specifically, to a quantitative decoupling calculation method, system, and device for multiphase distribution of alloying elements. Background Technology

[0002] In the process of manufacturing low-carbon, low-alloy, high-strength steel (such as EH36 for marine engineering and pipeline steel) using submerged arc welding (SAW), the extreme high-temperature, high-pressure physicochemical environment easily leads to violent physicochemical reactions within the molten pool, resulting in complex migration and distribution of alloying elements between the liquid metal and non-metallic inclusions. Traditional analytical methods can only obtain the total element content of the weld as a whole, but cannot distinguish which elements are truly dissolved in the metal matrix lattice to play a strengthening and phase transformation control role, or which elements have been captured and fixed in the internal structure of inclusions. This macroscopic total data is essentially a mixed characterization of the solid solution state of the matrix and the combined state of inclusions, masking the spatial differences in the true existence of elements. Due to the lack of a systematic quantitative correlation of the geometric morphology, spatial distribution, and internal phase composition of inclusions, existing technologies are unable to establish the elemental attribution relationships in multiphase systems, let alone scientifically extract the proportion of inclusions from the total amount.

[0003] The currently widely used empirical coefficient subtraction method neither considers the dynamic changes in the actual volume ratio of inclusions nor reflects the selective enrichment characteristics of various alloying elements by different oxide phases under thermodynamic equilibrium, thus exhibiting significant subjectivity and limitations in application. Furthermore, inclusions are not a single homogeneous phase but rather a composite micro-region formed by the coexistence of multiple oxides, and their composition continuously evolves with the welding material ratio and metallurgical conditions. If the morphological statistical characteristics of micro-inclusions cannot be physically integrated and modeled with the macroscopic composition detection results, the true transfer paths and distribution ratios of elements among slag, alloys, and inclusions cannot be revealed. This not only restricts a deeper understanding of the weld microstructure formation mechanism but also seriously affects the reliability of subsequent phase transformation simulations, toughness predictions, and welding material optimization design.

[0004] Therefore, there is an urgent need for a systematic method that can integrate microstructure characterization and macroscopic composition analysis, and take into account the spatial distribution of inclusions and phase composition characteristics, so as to achieve accurate identification and quantitative separation of the mass attribution of alloying elements between non-metallic inclusions and metallic matrix. Summary of the Invention

[0005] In view of this, the purpose of this application is to provide a quantitative decoupling calculation method, system, and device for the multiphase distribution of alloying elements, which effectively solves the problem that the existing technology cannot accurately and effectively achieve the precise identification and quantitative separation of the mass assignment of alloying elements between non-metallic inclusions and metallic matrix.

[0006] In a first aspect, embodiments of this application provide a quantitative decoupling calculation method for the multiphase distribution of alloying elements, the method comprising: Using a scanning electron microscope, at least a first number of fields of view are continuously acquired on the cross-section of the weld metal of the target alloy. Based on the fields of view, the two-dimensional equivalent diameter of the inclusion particles in the two-dimensional section and the two-dimensional particle number density per unit measurement area are obtained. Based on the principle of spatial stereochemistry, the two-dimensional equivalent diameter is converted into the true average diameter in three-dimensional space, and the three-dimensional true total integral of the inclusion group in the weld metal volume is calculated according to the true average diameter and the two-dimensional particle number density. The mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase are extracted by the total macroscopic multi-element content of the weld metal. Based on the mass-weighted harmonic average physical model, the overall average density of the inclusion group is calculated. Based on the law of conservation of mass, a peeling calculation model is established using the total amount of macroscopic multi-element components, the three-dimensional true total integral, the overall average density, and the elemental composition of each oxide phase, in order to quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions and the true solid solution mass fraction in the weld matrix.

[0007] In conjunction with the first aspect, embodiments of this application provide a first possible implementation of the first aspect, wherein quantitatively decoupling the absorbed mass fraction of alloying elements in non-metallic inclusions and the actual solid solution mass fraction in the weld matrix includes: For any target alloying element in the target alloy, calculate the mass fraction absorbed by each oxide phase. Summing up the absorption mass fractions of all oxide phases containing the target alloying element yields the total absorption mass fraction of the target alloying element in the non-metallic inclusion.

[0008] In conjunction with the first aspect, embodiments of this application provide a second possible implementation of the first aspect, wherein, for any target alloying element of the target alloy, the mass fraction absorbed by each oxide phase is calculated, including: The elemental composition of each oxide phase is traversed to obtain the mass percentage of the target alloying element in each oxide phase; Based on the three-dimensional true total integral and the average density of the inclusion group, the total mass of inclusions in a unit volume weld is calculated. Multiply the total mass, the mass percentage of the oxide phase in the inclusion group, and the mass percentage of the target alloying element in the oxide phase to obtain the absorbed mass of the target alloying element in the oxide phase; divide the absorbed mass by the total mass of the weld metal per unit volume to obtain the absorbed mass fraction of the oxide relative to the target alloying element.

[0009] In conjunction with the first aspect, embodiments of this application provide a third possible implementation of the first aspect, wherein, after obtaining the total absorbed mass fraction of the target alloying element in the non-metallic inclusion, the following steps are taken: Obtain the mass fraction of the target alloying element in the total amount of macroscopic multiple elements; The mass fraction and total absorbed mass fraction are calculated to obtain the true solid solution mass fraction of the target alloying element in the weld matrix.

[0010] In conjunction with the first aspect, this application provides a fourth possible implementation of the first aspect, wherein the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase are extracted by measuring the total macroscopic multi-element content of the detected weld metal, including: Based on the actual chemical composition of the weld metal, thermodynamic equilibrium calculations are performed at a preset target temperature to obtain the calculation results. Based on the calculation results, the mass percentage of each oxide phase and the theoretical density of each pure phase at the target temperature are extracted.

[0011] In conjunction with the first aspect, this application provides a fifth possible implementation of the first aspect, wherein calculating the three-dimensional true total integral of the inclusion group in the weld metal volume based on the true average diameter and the two-dimensional particle number density includes: Calculate the average volume of a single inclusion in three-dimensional space based on the true average diameter in the three-dimensional space. The two-dimensional particle number density is converted into a three-dimensional number density in three-dimensional space, and the three-dimensional true total integral number is calculated by comparing it with the three-dimensional average volume of the individual inclusion.

[0012] In conjunction with the first aspect, this application provides a sixth possible implementation of the first aspect, wherein, after calculating the average volume of a single inclusion in three-dimensional space based on the true average diameter in three-dimensional space, the method further includes: The corresponding three-dimensional space true average radius is calculated based on the true average diameter in the three-dimensional space. To verify whether the true average radius in the three-dimensional space conforms to the growth kinetics model based on oxygen diffusion control in liquid metal.

[0013] Secondly, embodiments of this application provide a quantitative decoupling calculation system for the multiphase distribution of alloying elements, the system comprising: The acquisition module is used to continuously acquire at least a first number of fields of view on the cross section of the weld metal of the target alloy using a scanning electron microscope, and to obtain the two-dimensional equivalent diameter of the inclusion particles in the two-dimensional section and the two-dimensional particle number density per unit measurement area of ​​the large sample based on the fields of view. The calculation module is used to convert the two-dimensional equivalent diameter into the true average diameter in three-dimensional space based on the principle of spatial stereochemistry, and to calculate the three-dimensional true total integral of the inclusion group in the weld metal volume according to the true average diameter and the two-dimensional particle number density. The extraction module is used to extract the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase by the total amount of macroscopic multi-element in the detected weld metal, so as to calculate the overall average density of the inclusion group based on the mass-weighted harmonic average physical model. The decoupling module is used to establish a peeling calculation model based on the law of conservation of mass, using the total amount of macroscopic multi-element, the three-dimensional true total integral, the overall average density, and the elemental composition of each oxide phase, so as to quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions and the true solid solution mass fraction in the weld matrix.

[0014] Thirdly, embodiments of this application provide an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of the quantitative decoupling calculation method for multiphase distribution of alloying elements as described in any one of the claims.

[0015] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the quantitative decoupling calculation method for multiphase distribution of alloying elements as described in any one of the claims.

[0016] This application provides a quantitative decoupling calculation method for the multiphase distribution of alloying elements. This method, for the first time, constructs a complete physical logic chain from the statistical analysis of microscopic inclusion morphology to the decoupling of macroscopic composition, realizing the quantitative identification of the attribution relationship of alloying elements between non-metallic inclusions and the weld matrix. By transforming the two-dimensional features of inclusions obtained from scanning observations into three-dimensional spatial distribution parameters, combined with the density response of the multiphase coexistence state under thermodynamic equilibrium, the macroscopic composition data can be reasonably decomposed within a realistic physical framework. This process does not rely on empirical fitting or artificially set thresholds, but is based on the three fundamental principles of spatial geometry, phase equilibrium, and mass conservation, ensuring the repeatability and mechanistic consistency of the decoupling results. The obtained true solid solution mass fraction of alloying elements in the weld matrix can directly support subsequent microstructure evolution simulation and performance prediction, significantly improving the accuracy of phase transformation kinetic modeling; the revealed inclusion elemental carrying capacity provides a solid basis for understanding heterogeneous nucleation behavior and optimizing the welding slag system ratio. The method provided in this application breaks through the long-standing technical bottleneck of "total quantity masking essence", enabling the study of element behavior in welding metallurgy to truly enter a new stage of microscopic traceability, quantitative reliability, and engineering applicability. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a quantitative decoupling calculation method for multiphase distribution of alloying elements provided in an embodiment of this application is shown. Figure 2 A schematic diagram of the process for obtaining the three-dimensional true volume fraction provided in an embodiment of this application is shown; Figure 3 A schematic diagram of the extraction process based on target extraction points provided in an embodiment of this application is shown; Figure 4 This paper shows a structural block diagram of a quantitative decoupling calculation system for multiphase distribution of alloying elements provided in an embodiment of this application; Figure 5 A structural block diagram of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0020] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0022] Existing technologies can only obtain the total element content of weld metal, but cannot distinguish the actual existence state of elements in inclusions and the matrix. Due to the lack of modeling ability for the spatial distribution of inclusions, phase composition and their physical relationship with macroscopic components, traditional subtraction methods rely on empirical assumptions, which are difficult to accurately reflect the actual distribution relationship of elements in multiphase systems, resulting in distorted composition assessment, biased microstructure prediction and blind material design.

[0023] Based on this, the present application provides a quantitative decoupling calculation method, system, and device for the multiphase distribution of alloying elements, which will be described below through embodiments.

[0024] Example 1 To facilitate understanding of this embodiment, a quantitative decoupling calculation method for multiphase distribution of alloying elements disclosed in this application will first be described in detail. For example... Figure 1 The diagram shows a flowchart of a quantitative decoupling calculation method for multiphase distribution of alloying elements. This application provides a quantitative decoupling calculation method for multiphase distribution of alloying elements, the method comprising: S101. Using a scanning electron microscope, continuously acquire at least a first number of fields of view on the cross-section of the weld metal of the target alloy, and obtain the two-dimensional equivalent diameter of the inclusion particles in the two-dimensional section and the two-dimensional particle number density per unit measurement area of ​​the large sample based on the fields of view. S102. Based on the principle of spatial stereochemistry, the two-dimensional equivalent diameter is converted into the true average diameter in three-dimensional space, and the three-dimensional true total integral of the inclusion group in the weld metal volume is calculated according to the true average diameter and the two-dimensional particle number density. S103. Extract the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase by the total amount of macroscopic multi-element in the detected weld metal, and calculate the overall average density of the inclusion group based on the mass-weighted harmonic average physical model. S104. Based on the law of conservation of mass, using the total amount of macroscopic multi-element, the three-dimensional true total integral, the overall average density, and the elemental composition of each oxide phase, a peeling calculation model is established to quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions and the true solid solution mass fraction in the weld matrix.

[0025] In step S101, the target alloy described in this application is a low-carbon low-alloy steel. The total oxygen content of the low-carbon low-alloy steel weld metal system ranges from 100 to 1000 ppm, and the total mass percentage of alloying elements ranges from 0.5% to 3.0%, 0.05% to 1.2%, and 0.002% to 0.15%. This application first cuts samples of the weld metal along its cross-section. After mechanical grinding and polishing, the samples are observed under a scanning electron microscope (SEM) at an accelerating voltage of 20 kV and a magnification of 5000x. At least one target number, such as 100 fields of view, are continuously collected at the center of the weld metal, thereby obtaining a large number of inclusion samples in the fields of view. The number of inclusions counted in each weld metal exceeds 1000. The field of view is in image form. The weld metal can be produced by submerged arc welding, argon arc welding, laser welding, or even a cast alloy. Then, using software such as ImageJ, the contours of the inclusion particles are identified, and artifacts and edge-truncated particles with aspect ratios exceeding a preset threshold or areas smaller than a preset threshold are removed. The two-dimensional equivalent diameter of the two-dimensional projected contour is calculated, and the diameter d of each inclusion is measured. A The average diameter of inclusions within the weld metal was then calculated. The number of inclusions with a two-dimensional equivalent diameter exceeding a preset threshold within each field of view was also counted and normalized to the two-dimensional particle number density N per unit measurement area. AThe above operations overcome the statistical bias caused by traditional single-field-of-view sampling, ensuring that the obtained ECD distribution and number density data have large sample statistical power.

[0026] In step S102, this application, for each inclusion identified in the field of view, uses its two-dimensional equivalent diameter as a basis, combined with the actual geometric characteristics of the inclusion in the weld, and considering that the two-dimensional cross-section does not all pass through the center of the inclusion, adopts a spatial stereoscopic mathematical model to convert the two-dimensional measured diameter d. A Converted to the true average diameter d in three-dimensional space V : ; In the formula: d V The reconstructed three-dimensional average diameter, in μm; N obs d represents the total number of randomly collected inclusion samples; A denoted as the two-dimensional average diameter of the inclusion, in μm. The three-dimensional true average size of the inclusion, i.e., the three-dimensional true average diameter d, is obtained after determining the true average size of the inclusion. V Subsequently, the number of particles observed per unit area is further correlated, and based on the inherent correspondence between area density and volume density in stereochemistry, the actual number of inclusion particles contained in a unit volume of weld metal is derived. Finally, the average volume of a single inclusion estimated according to its three-dimensional dimensions is multiplied by the number of particles per unit volume to obtain the true total fraction of inclusions in the entire weld metal volume. This application does not require complex three-dimensional imaging equipment; it only relies on conventional metallographic preparation and two-dimensional SEM image analysis to achieve a quantitative, repeatable, and traceable volume fraction evaluation of weld cleanliness, which is significantly superior to traditional evaluation methods based solely on experience or single-dimensional parameters.

[0027] In the specific implementation of step S102, one embodiment is as follows: Figure 2 As shown, based on the true average diameter and two-dimensional particle number density, the three-dimensional true total integral of the inclusion group in the weld metal volume is calculated, including: S1021. Calculate the average volume of a single inclusion in three-dimensional space based on the true average diameter in the three-dimensional space. S1022. Convert the two-dimensional particle number density to the three-dimensional number density in three-dimensional space, and calculate the three-dimensional true total integral number based on the three-dimensional average volume of the individual inclusion.

[0028] In steps S1021-S1022, this application uses the true average diameter d in the three-dimensional space as a reference. VBased on the generally approximate spherical or ellipsoidal geometric characteristics of inclusions in weld metal, an experimentally calibrated morphology correction method was used to estimate the average volume of a single inclusion in three-dimensional space. This estimation fully considered the density differences and morphological distribution patterns of inclusions with different compositions (such as oxides, sulfides, and composite inclusions), avoiding systematic biases caused by simply applying the ideal sphere assumption. Furthermore, the two-dimensional particle number density observed per unit area was transformed into a higher dimension using the correspondence between area density and volume density in stereochemistry, yielding the actual number of inclusion particles per unit volume of weld metal, i.e., the three-dimensional number density. The three-dimensional true total integral number is calculated based on the three-dimensional average volume of the individual inclusion. : ; ; Where: N V The density of inclusions per unit volume is expressed as inclusions / cm³. 3 N A The number density of two-dimensional particles per unit area, in particles / cm². 2 ;f V denoted as the three-dimensional true total integral of the inclusion group.

[0029] In a specific implementation of step S1021, one embodiment is as follows: after calculating the average volume of a single inclusion in three-dimensional space based on the true average diameter in the three-dimensional space, the method further includes: S10211. Calculate the corresponding three-dimensional space true average radius based on the true average diameter in the three-dimensional space. S10212. Determine whether the true average radius in the three-dimensional space conforms to the growth kinetic model based on oxygen diffusion control in liquid metal for verification.

[0030] In steps S10211-S10212, this application further uses the radius r = d corresponding to the true average diameter in three-dimensional space obtained from stereoscopic inversion. V / 2, as a key input parameter, is used to verify whether it conforms to the growth kinetics model based on oxygen diffusion control in liquid metal, whose growth kinetics model is a parabolic equation: ; Where t is the effective growth time of inclusions in the molten pool. The parabolic growth rate constant is determined by the oxygen diffusion boundary conditions at the interface. ; In the formula, D o The diffusion coefficient of oxygen in liquid steel; , , These represent the oxygen concentrations at the distal liquid phase, the liquid / inclusion interface, and the interior of the inclusion, respectively. Under rapid cooling conditions in submerged arc welding, the growth of oxide inclusions (such as Al2O3 and SiO2) is mainly controlled by the diffusion rate of dissolved oxygen from the molten pool to the inclusion interface. Their final size is determined by the diffusion time, temperature gradient, and melt flow state. This application verifies the consistency between the measured three-dimensional true average radius and the reasonable radius range predicted by this kinetic model. This model, based on typical welding thermal cycle parameters (such as peak temperature, cooling rate, and molten pool residence time) and metallurgical thermodynamics and transport characteristics such as oxygen activity and diffusion coefficient in the alloy system, pre-determines the theoretical radius range that inclusions may grow under different process conditions. If the measured radius falls within this range, it indicates that the obtained size data truly reflects the physical evolution of inclusions within the molten pool, unaffected by sample preparation artifacts, image recognition biases, or insufficient statistical samples. Conversely, if it deviates significantly, it suggests the need to revisit previous steps, such as checking whether SEM imaging parameters cause edge blurring, confirming whether the particle segmentation threshold misjudges small precipitates, or assessing whether the number of views is sufficient to cover the entire size distribution, thereby ensuring the accuracy of the obtained average volume in three-dimensional space. Furthermore, this step is an independent verification step for the true three-dimensional average diameter (and consequently, the volume fraction), serving to verify data reliability, rather than being a necessary step for calculating the volume fraction.

[0031] In step S103, this application uses the total actual percentage of multiple elements in the weld metal measured by macroscopic detection instruments such as ICP-OES, nitrogen and oxygen analyzer, and carbon and sulfur analyzer as the input source, including O, Al, Si, Mn, Ti, C, etc., and inputs iron (Fe) as the balance into the Factsage phase thermodynamic calculation software. Based on the detected total macroscopic multiple elements in the weld metal, the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase are extracted, including oxide phases such as alumina, silicon dioxide, manganese oxide, titanium oxide, and their composite phases. Based on this, the principle of mass-weighted harmonic averaging is used to match the theoretical density of each oxide phase with its mass proportion in the inclusion, and the overall average density ρ of the inclusion group is calculated. mix : ; In the formula: n is the total number of phases precipitated, w i ρ represents the mass percentage of the i-th phase. i The theoretical density of the i-th phase is given in g / cm³. 3 ; ρ mix The total weighted average theoretical density of the inclusion group, in g / cm³. 3The overall average density not only reflects the chemical composition of inclusions, but also directly relates to their floating behavior in the molten pool, distribution uniformity, and the mechanism by which they affect mechanical properties. In the specific implementation of step S103, one embodiment is as follows: Figure 3 As shown, the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase are extracted by measuring the total macroscopic multi-element content of the weld metal, including: S1031. Based on the actual chemical composition of the weld metal, perform thermodynamic equilibrium calculations at a preset target temperature to obtain the calculation results; S1032. Based on the calculation results, extract the mass percentage of each oxide phase and the theoretical density of each pure phase at the target temperature.

[0032] In steps S1031-S1032, the actual chemical composition of the weld metal produced by the target alloy of this application is used as the true mass percentage data, rather than the theoretical ratio or empirical nominal value. The actual chemical composition includes major elements and trace residual elements, such as O, Al, Si, Mn, Ti, and C. This actual chemical composition is directly used as the input boundary condition for thermodynamic calculation software such as FactSage to ensure that the mass-weighted harmonic average physical model strictly reflects the actual physicochemical environment of the current weld system, avoiding distortion of phase equilibrium prediction due to compositional deviation. During the calculation process, the steel matrix thermodynamic database FSstel and the oxide database FToxide are also activated simultaneously to ensure the self-consistency of multiple thermodynamic parameters. The preset target temperature is the representative equilibrium temperature corresponding to the solidification front of the molten steel, preferably 1600℃. At this temperature, thermodynamic equilibrium calculation is performed based on the actual chemical composition of the weld metal, and the mass of each target oxide phase is extracted. The mass of the target oxide phase is normalized based on its total mass to obtain the mass percentage of each oxide phase in the inclusion group. w i Simultaneously, the theoretical pure-phase density corresponding to each oxide was extracted. ρ i .

[0033] In step S104, based on the principle of mass conservation, this application constructs a calculation model for the stripping of alloying elements between inclusions and the weld matrix, achieving precise decoupling of element distribution. Given the total macroscopic amount of multiple elements in the weld metal, and combining the three-dimensional true total integral obtained in the preceding steps with the overall average density of the inclusion group, the total mass of inclusions per unit volume of weld can be accurately calculated. The stripping calculation model constructed in this application decomposes the total mass of inclusions according to elemental affiliation based on the mass percentage of each oxide phase and its corresponding chemical composition, obtaining the specific mass fractions of elements such as aluminum, silicon, manganese, and titanium fixed within the inclusions. Therefore, starting from the measured total macroscopic amount of multiple elements in the weld metal, after deducting the mass of each element absorbed by the inclusions, the remaining portion represents the true mass still existing in the weld matrix in a solid solution or precipitated state, thus obtaining the absorbed mass fraction of alloying elements in the non-metallic inclusions and the true solid solution mass fraction in the weld matrix. The absorbed mass fraction of elements in non-metallic inclusions and the actual solid solution mass fraction of elements in the weld matrix not only reveal the effective utilization rate and loss path of elements during the welding process, but also provide quantifiable theoretical basis and engineering criteria for regulating the strength and toughness matching of welds, inhibiting the precipitation of brittle phases, and optimizing the deoxidation process, significantly improving the scientific nature and repeatability of welding material design and process control.

[0034] In a specific implementation of step S104, one embodiment involves quantitatively decoupling the absorbed mass fraction of alloying elements in non-metallic inclusions from their actual solid solution mass fraction in the weld matrix, including: S1041. For any target alloying element in the target alloy, calculate the mass fraction absorbed by each oxide phase. S1042. Sum the absorption mass fractions of all oxide phases containing the target alloying element to obtain the total absorption mass fraction of the target alloying element in the non-metallic inclusion.

[0035] In steps S1041-S1042, this application sets the standard volume of weld metal to 1 cm³. 3 Based on the existing theoretical density ρ of steel steel =7.85g / cm 3This study employs an absolute mass stripping method for alloying elements: For any target alloying element in a target alloy, a quantitative analytical method is established to determine its capture and eventual fixation by different oxide phases within non-metallic inclusions. Taking aluminum as an example, firstly, based on the mass percentage of each oxide phase obtained from the equilibrium cooling path simulation, and combined with the inherent chemical composition characteristics of each oxide phase, all aluminum-containing oxide phases are identified, such as aluminum oxide, manganese aluminate, and titanium aluminate. Subsequently, based on the mass proportion of each aluminum-containing oxide phase in the inclusion group and the inherent proportion of aluminum in the molecular structure of that phase, the proportion of aluminum contained in that phase relative to the total aluminum content of the weld metal is calculated, i.e., the "mass fraction absorbed by that oxide phase." Similarly, for other target elements such as silicon, manganese, and titanium, their respective oxide phases (such as silicon dioxide, manganese oxide, and titanium dioxide) are identified, and the corresponding absorption fraction is calculated using the same logic. Based on this, the absorbed mass corresponding to all oxide phases containing the target alloying element is summed to obtain the total absorbed mass of the target alloying element in the non-metallic inclusion. Then divide the total absorbed mass by the total mass of weld metal per unit volume. The total absorbed mass fraction of the target alloying element in the non-metallic inclusion was obtained. .

[0036] In a specific implementation of step S1041, one embodiment is as follows: for any target alloying element in the target alloy, the mass fraction absorbed by each oxide phase is calculated, including: A1. Traverse the elemental composition of each oxide phase to obtain the mass percentage of the target alloying element in each oxide phase; A2. Based on the three-dimensional true total integral and the average density of the inclusion group, calculate the total mass of inclusions in a unit volume weld. A3. Multiply the total mass, the mass percentage of the oxide phase in the inclusion group, and the mass percentage of the target alloying element in the oxide phase to obtain the absorbed mass of the target alloying element in the oxide phase. A4. Divide the absorbed mass by the total mass of the weld metal per unit volume to obtain the absorbed mass fraction of the oxide relative to the target alloying element.

[0037] In steps A1-A4, this application iterates through the elemental composition of each oxide phase to obtain the mass percentage of the target alloying element in each oxide phase: ; ; In the formula M steel Mass of steel per unit volume, M M,totalw is the total mass of elements per unit volume. M The mass fraction of the element. Based on the integral of the three-dimensional true total population and the average density of the inclusion group, the total mass of inclusions in a unit volume of weld is calculated: .

[0038] As shown in the following formula, the total mass, the mass percentage of the oxide phase in the inclusion group, and the mass percentage of the target alloying element in the oxide phase are multiplied together to obtain the absorbed mass of the target alloying element in the oxide phase. ; As shown in the following formula, dividing the absorbed mass by the total mass of weld metal per unit volume yields the absorbed mass fraction of the oxide relative to the target alloying element: ; In the formula, The total absorbed mass fraction of the target alloying element in the nonmetallic inclusion; The total mass of the target alloying element absorbed by nonmetallic inclusions in a unit volume of weld metal; This refers to the total mass of weld metal per unit volume.

[0039] In a specific implementation of step S1042, one embodiment includes: after obtaining the total absorbed mass fraction of the target alloying element in the non-metallic inclusions, the following steps are taken: B1. Obtain the mass fraction of the target alloying element in the total amount of macroscopic multi-element composition; B2. Calculate the mass fraction and total absorbed mass fraction to obtain the true solid solution mass fraction of the target alloying element in the weld matrix.

[0040] In steps B1-B2, after obtaining the total absorbed mass fraction, this application automatically retrieves the mass fraction of the element in the total macroscopic multi-element content of the weld metal, representing the original total content of the element in the entire weld. Subsequently, based on the principle of mass conservation, the original total mass fraction of the element is subtracted from its total absorbed mass fraction that is jointly absorbed by various oxide phases and fixed in inclusions, to obtain the true solid solution mass fraction: ; The above process is not a simple mathematical subtraction, but incorporates metallurgical physical constraints: for example, for elements that easily form carbonitrides (such as titanium and niobium), it is simultaneously checked whether there are other non-oxide precipitates besides inclusions, and thermodynamic auxiliary judgments are introduced for correction when necessary; for elements with weak oxygen affinity but prone to segregation at grain boundaries, their distribution uniformity is verified by combining scanning electron microscopy energy dispersive spectroscopy (EDS) results. The obtained true solid solution mass fraction can be directly used to correlate key performance indicators such as weld strength, toughness, cold cracking sensitivity, and reheat cracking tendency, making up for the shortcomings of traditional composition reports that only provide "nominal content" and cannot reflect the actual effective strengthening ability.

[0041] To further illustrate the applicability of the quantitative decoupling calculation method described in this application to different alloying elements, this application uses Mn, Si, Al, and Ti as target alloying elements, and performs the quantitative decoupling processes described in A1-A3 and A21-A22 above on different weld metals, respectively, to obtain the absorbed mass fraction of each target alloying element in the non-metallic inclusions and the actual solid solution mass fraction in the weld matrix. Simultaneously, using oxygen as a mass conservation check quantity, the oxygen content in the inclusions calculated from the three-dimensional true total integral, overall average density, and oxide phase composition of the inclusions is compared with the measured total oxygen content of the weld metal to independently verify the results of the multi-element quantitative decoupling calculation.

[0042] The effectiveness of the method provided in this application is specifically illustrated below using real experimental datasets of weld metal. All welding experiments used high-strength low-alloy EH36 steel as the base material. By adjusting the ratio of MnO and CaF2 in the multi-component flux, six groups of weld metals (groups 1-6) with distinct gradient characteristics were formed. The macroscopic multi-element composition and the three-dimensional total integral of inclusions for each group of weld metal are shown in Table 1; the mass proportions of each precipitated phase and the density of the mixed phase within the inclusions under equilibrium conditions are shown in Table 2; the quantitative decoupling results of Mn, Si, Al, and Ti between the non-metallic inclusions and the weld matrix are shown in Table 3; and the mass balance verification results based on oxygen are shown in Table 4.

[0043] Example 1: Quantitative multiphase stripping in a low-manganese, low-oxygen system This example uses a CaF2(60%)-SiO2(20%)-MnO(10%)-TiO2(10%) multi-component fusion flux to conduct submerged arc welding experiments on high-strength low-alloy EH36 steel. Under the action of a high-energy-density heat source, the metallurgical reaction in the molten pool is complete. After the reaction, the macroscopic total Mn content was measured by inductively coupled plasma optical emission spectrometry (ICP-OES), nitrogen and oxygen analyzer, and carbon analyzer. The results showed that the total Mn content was 1.512%, the Si content was 0.165%, the Al content was 0.076%, the Ti content was 0.005%, the total oxygen content was 273 ppm, and the total C content was 0.089%.

[0044] One hundred and ten thousand inclusion samples were randomly collected using scanning electron microscopy combined with energy dispersive spectroscopy (SEM / EDS). The average diameter and number density of the inclusions were extracted using ImageJ image processing software, and then inversely reconstructed using spatial stereochemistry formulas to obtain the true total integral number f of the inclusions in three-dimensional space. V 1.12×10 -3 .

[0045] The macroscopic multi-element content and residual Fe were input into FactSage thermodynamic calculation software. The representative equilibrium temperature corresponding to the solidification front of the molten steel was set to 1600℃. The mass and corresponding pure phase density of each precipitated phase (MnO2, Al2SiO5, SiO2, and TiO2) inside the inclusions were extracted under equilibrium conditions, and the mass of each precipitated phase was normalized to its mass proportion within the inclusion group. The mass proportions of each precipitated phase and the mixed phase density are shown in Table 2. Substituting the above parameters into the mass-weighted harmonic average formula, the overall average density ρmix of this inclusion group was calculated to be 3.8369 g / cm³.

[0046] Further combining the three-dimensional true total integral number f of this group of inclusions V =1.12×10 - ³, The overall average density and elemental composition of each oxide phase were quantitatively decoupled for Mn, Si, Al, and Ti using the standard controlled volume method described above. The calculated absorbed mass fractions of Mn, Si, Al, and Ti in the non-metallic inclusions were 0.01281%, 0.00810%, 0.00603%, and 0.00345%, respectively, corresponding to actual solid solution mass fractions of 1.49919%, 0.15690%, 0.06997%, and 0.00155% in the weld matrix.

[0047] Based on this, the above calculation results were verified by mass balance using oxygen. According to the total mass of inclusions and the mass percentage of oxygen in each oxide phase, the oxygen content carried by non-metallic inclusions in the weld metal was calculated to be 245.6 ppm, accounting for 89.96% of the measured total oxygen of 273 ppm, with a difference of 27.4 ppm.

[0048] Example 2: Quantitative multiphase stripping in a high-manganese, high-oxygen system This example uses a CaF2(10%)-SiO2(20%)-MnO(60%)-TiO2(10%) flux to conduct submerged arc welding experiments on high-strength low-alloy EH36 steel. Under the action of a high-energy-density heat source, the metallurgical reaction in the molten pool is sufficient. Compared with Example 1, this embodiment changes the metallurgical reaction path and inclusion formation behavior of the molten pool by increasing the proportion of MnO in the flux. In the macroscopic input extraction stage, the macroscopic total Mn content of the weld metal was measured to be 2.580%, Si content to be 0.053%, Al content to be 0.076%, Ti content to be 0.002%, total oxygen content to be 540 ppm, and total C content to be 0.071%.

[0049] 1000 inclusion samples were randomly collected using scanning electron microscopy combined with energy dispersive spectroscopy (SEM / EDS). Two-dimensional geometric features (mean diameter and number density) were extracted using ImageJ image processing software, and the true total integral number f in three-dimensional space was calculated. V It increased significantly to 2.35 × 10 -3 .

[0050] The macroscopic multi-element content and residual Fe were input into FactSage thermodynamic calculation software. The representative equilibrium temperature corresponding to the solidification front of the molten steel was set to 1600℃. The mass and corresponding pure phase density of each precipitated phase (MnO2, Al2SiO5, SiO2, and TiO2) inside the inclusions were extracted under equilibrium conditions. The mass of each precipitated phase was normalized to its mass proportion within the inclusion group. The mass proportions of each precipitated phase and the mixed phase density are shown in Table 2. Substituting the above parameters into the mass-weighted harmonic average formula, the overall average density ρ of this inclusion group was calculated. mix It is 4.4040 g / cm³.

[0051] Further combining the three-dimensional true total integral number f of this group of inclusions V =2.35×10 - ³, The overall average density and elemental composition of each oxide phase were quantitatively decoupled for Mn, Si, Al, and Ti using the standard controlled volume method described above. The calculated absorbed mass fractions of Mn, Si, Al, and Ti in the non-metallic inclusions were 0.06166%, 0.00919%, 0.00630%, and 0.00161%, respectively, corresponding to actual solid solution mass fractions of 2.51834%, 0.04381%, 0.06970%, and 0.00039% in the weld matrix.

[0052] Based on this, the above calculation results were verified by mass balance using oxygen. According to the total mass of inclusions and the mass percentage of oxygen in each oxide phase, the oxygen content carried by non-metallic inclusions in the weld metal was calculated to be 530.7 ppm, accounting for 98.28% of the measured total oxygen of 540 ppm, with a difference of 9.3 ppm.

[0053] Table 1. Macroscopic composition and physical parameters of inclusions in different weld metals.

[0054] Table 2. Composition of precipitated phases and density of mixed phases in inclusions of different weld metals.

[0055] Table 3. Quantitative decoupling results (wt.%) of alloying elements in different weld metals between non-metallic inclusions and the weld matrix.

[0056] Table 4. Results of Oxygen Element Mass Balance Verification

[0057] Table 4 shows that the difference between the measured total oxygen content of the weld metal and the calculated oxygen content in the inclusions ranged from 9.3 to 37.0 ppm, with an average difference of 26.3 ppm. The oxygen element mass balance closure rate ranged from 89.96% to 98.28%, with an average closure rate of 93.39%. Furthermore, the measured oxygen content of the base metal before welding was approximately 20 to 30 ppm, which is close to the above average difference. These results indicate that the quantitative calculation results of inclusions established in this application can achieve oxygen element mass balance well, further verifying the rationality and accuracy of the multi-element quantitative decoupled calculation method from the perspective of independent element mass conservation.

[0058] As can be seen from Tables 1 to 3, in the six groups of weld metals with continuous compositional gradients, the quantitative decoupling method established in this application can separate the mass attribution of Mn, Si, Al and Ti according to a unified physical calculation framework, and obtain the absorption share of each element in the non-metallic inclusions and the remaining share in the weld matrix, indicating that the method has the ability to perform unified quantitative decoupling of multiple target alloying elements.

[0059] Specifically, with changes in weld metal composition and inclusion phase composition, the absorption mass fraction of Mn in non-metallic inclusions increased from 0.01281% to 0.06166%; Si, Al, and Ti also exhibited different distribution characteristics between inclusions and the matrix. These results indicate that different target alloying elements have significantly different inclusion absorption and matrix retention behaviors, and this application is able to quantitatively identify these differences in element distribution.

[0060] The advantages and beneficial results of the invention provided in this application are as follows: (1) Constructing a physical closed loop of mass conservation to eliminate systematic quantitative characterization errors. This application breaks through the limitations of traditional single macroscopic phase detection or single microscopic morphology characterization. For the first time, it integrates three-dimensional reverse reconstruction of microscopic spatial volume vision, multi-component thermodynamic equilibrium, and the law of mass conservation to construct a complete physical calculation closed loop. Compared with the traditional coarse subtraction method based on empirical constants or fixed linear coefficients, this application can accurately identify the actual distribution differences of different alloying elements in non-metallic inclusions and weld matrix in high-temperature multi-component metallurgical systems. It fundamentally eliminates the mechanism deviation between the macroscopic apparent total concentration and the microscopic true solid solution concentration, and significantly improves the quantitative characterization accuracy of weld metal element spatial segmentation.

[0061] (2) Deeply subdividing the multiphase consumption mechanism to quantify the element distribution law. For high-temperature multi-component metallurgical reactions, this application obtains the mass ratio of each oxide phase and the overall average density inside the inclusion by statistical analysis of the geometric characteristics of a large sample of inclusions, thermodynamic equilibrium calculation, and phase density extraction. Furthermore, it quantitatively calculates the distribution results of Mn, Si, Al, and Ti between non-metallic inclusions and the weld matrix. This enables the identification of differences in the absorption of different alloying elements in inclusions and their retention in the matrix, providing a quantitative basis for analyzing the element transition behavior and the formation and evolution law of inclusions.

[0062] (3) Precise decoupling of matrix solid solution and inclusion enrichment ratios to clarify the microstructure nucleation mechanism. Non-metallic inclusions play an irreplaceable and important role in microstructure regulation as the core sites for heterogeneous nucleation of acicular ferrite in weld metal. This application, through rigorous physical exfoliation calculations, can scientifically and accurately define and separate the free solid solution ratio of alloying elements in the steel matrix lattice and the metallurgical enrichment ratio that has been fixed by the inclusion group and used to form the nucleation core, clearly restoring the true material distribution state of the two. This high-precision compositional decoupling result can not only accurately assess the actual transition behavior of the alloy under the action of the electric arc heat source, but also provide a reliable physical boundary for subsequent accurate calculation of the solute concentration gradient at the interface between the inclusions and the surrounding steel matrix as nucleation sites, thus providing irreplaceable data support for quantitatively elucidating the formation mechanism of manganese-poor regions and the nucleation evolution law of inclusion-induced acicular ferrite.

[0063] (4) Scientific guidance for the refined design of trace element composition in high-performance welding materials. This application has extremely high engineering guidance and industrial application value. Based on the distribution law of real and effective solid solution elements and the evolution trend of phase composition inside inclusions revealed in this application, researchers can accurately determine the actual melting and element transition effects under different welding wire and flux matching, thereby guiding the refined ratio optimization of multi-element flux slag system and the adjustment of trace element composition of matching high-strength steel welding wire. This effectively avoids the drawbacks of blind trial and error due to the lack of microscopic mechanism support in the traditional high-performance welding material research and development process. It not only ensures that inclusions exert excellent nucleation efficiency, but also helps to optimize the solid solution strengthening effect of the matrix, significantly shortening the development cycle of ultra-high strength and toughness welding materials in core equipment fields such as marine engineering and oil and gas pipelines.

[0064] Example 2 This application also provides a quantitative decoupling calculation system for the multiphase distribution of alloying elements, such as... Figure 4 The diagram shows a structural block diagram of a quantitative decoupling calculation system for multiphase distribution of alloying elements. The system performs functions corresponding to the steps of executing a quantitative decoupling calculation method for multiphase distribution of alloying elements on the aforementioned terminal device. This device can be understood as a server component including a processor. The quantitative decoupling calculation system for multiphase distribution of alloying elements described in this application includes: The acquisition module 401 is used to continuously acquire at least a first number of fields of view on the cross section of the weld metal of the target alloy using a scanning electron microscope, and to obtain the two-dimensional equivalent diameter of the inclusion particles in the two-dimensional section and the two-dimensional particle number density per unit measurement area of ​​the large sample based on the fields of view. The calculation module 402 is used to convert the two-dimensional equivalent diameter into the true average diameter in three-dimensional space based on the principle of spatial stereochemistry, and to calculate the three-dimensional true total integral of the inclusion group in the weld metal volume according to the true average diameter and the two-dimensional particle number density. Extraction module 403 is used to extract the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase by the total amount of macroscopic multi-element in the detected weld metal, so as to calculate the overall average density of the inclusion group based on the mass-weighted harmonic average physical model. The decoupling module 404 is used to establish a peeling calculation model based on the law of conservation of mass, using the total amount of macroscopic multi-element, the three-dimensional true total integral, the overall average density, and the elemental composition of each oxide phase, so as to quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions and the true solid solution mass fraction in the weld matrix.

[0065] In one feasible implementation, the decoupling module includes: For any target alloying element in the target alloy, calculate the mass fraction absorbed by each oxide phase. Summing up the absorption mass fractions of all oxide phases containing the target alloying element yields the total absorption mass fraction of the target alloying element in the non-metallic inclusion.

[0066] In one feasible implementation, the decoupling module further includes: The elemental composition of each oxide phase is traversed to obtain the mass percentage of the target alloying element in each oxide phase; Based on the three-dimensional true total integral and the average density of the inclusion group, the total mass of inclusions in a unit volume weld is calculated. Multiply the total mass, the mass percentage of the oxide phase in the inclusion group, and the mass percentage of the target alloying element in the oxide phase to obtain the absorbed mass of the target alloying element in the oxide phase. Dividing the absorbed mass by the total mass of weld metal per unit volume yields the absorbed mass fraction of the oxide relative to the target alloying element.

[0067] In one feasible implementation, the decoupling module also includes: Obtain the mass fraction of the target alloying element in the total amount of macroscopic multiple elements; The mass fraction and total absorbed mass fraction are calculated to obtain the true solid solution mass fraction of the target alloying element in the weld matrix.

[0068] In one feasible implementation, the extraction module includes: Based on the actual chemical composition of the weld metal, thermodynamic equilibrium calculations are performed at a preset target temperature to obtain the calculation results. Based on the calculation results, the mass percentage of each oxide phase and the theoretical density of each pure phase at the target temperature are extracted.

[0069] In one feasible implementation, the computing module includes: Calculate the average volume of a single inclusion in three-dimensional space based on the true average diameter in the three-dimensional space. The two-dimensional particle number density is converted into a three-dimensional number density in three-dimensional space, and the three-dimensional true total integral number is calculated by comparing it with the three-dimensional average volume of the individual inclusion.

[0070] In one feasible implementation, the computing module further includes: The corresponding three-dimensional space true average radius is calculated based on the true average diameter in the three-dimensional space. To verify whether the true average radius in the three-dimensional space conforms to the growth kinetics model based on oxygen diffusion control in liquid metal.

[0071] Example 3 This application also provides an electronic device, such as Figure 5 As shown, it includes: a processor 501, a memory 502, and a bus 503. The memory 502 stores machine-readable instructions that can be executed by the processor 501. When the electronic device is running, the processor 501 and the memory 502 communicate through the bus 503. When the machine-readable instructions are executed by the processor 501, the steps of the quantitative decoupling calculation method for multiphase distribution of alloy elements are performed.

[0072] Example 4 This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the quantitative decoupling calculation method for multiphase distribution of alloying elements.

[0073] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0074] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0075] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0076] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a platform server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0077] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A quantitative decoupling calculation method for the multiphase distribution of alloying elements, characterized in that, The method includes: Using a scanning electron microscope, at least a first number of fields of view are continuously acquired on the cross-section of the weld metal of the target alloy. Based on the fields of view, the two-dimensional equivalent diameter of the inclusion particles in the two-dimensional section and the two-dimensional particle number density per unit measurement area are obtained. Based on the principle of spatial stereochemistry, the two-dimensional equivalent diameter is converted into the true average diameter in three-dimensional space, and the three-dimensional true total integral of the inclusion group in the weld metal volume is calculated according to the true average diameter and the two-dimensional particle number density. The mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase are extracted by the total macroscopic multi-element content of the weld metal. Based on the mass-weighted harmonic average physical model, the overall average density of the inclusion group is calculated. Based on the law of conservation of mass, a peeling calculation model is established using the total amount of macroscopic multi-element components, the three-dimensional true total integral, the overall average density, and the elemental composition of each oxide phase, in order to quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions and the true solid solution mass fraction in the weld matrix.

2. The method according to claim 1, characterized in that, Quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions from their actual solid solution mass fraction in the weld matrix, including: For any target alloying element in the target alloy, calculate the mass fraction absorbed by each oxide phase. Summing up the absorption mass fractions of all oxide phases containing the target alloying element yields the total absorption mass fraction of the target alloying element in the non-metallic inclusion.

3. The method according to claim 2, characterized in that, For any target alloying element in the target alloy, calculate the mass fraction absorbed by each oxide phase, including: The elemental composition of each oxide phase is traversed to obtain the mass percentage of the target alloying element in each oxide phase; Based on the three-dimensional true total integral and the average density of the inclusion group, the total mass of inclusions in a unit volume weld is calculated. Multiply the total mass, the mass percentage of the oxide phase in the inclusion group, and the mass percentage of the target alloying element in the oxide phase to obtain the absorbed mass of the target alloying element in the oxide phase. Dividing the absorbed mass by the total mass of weld metal per unit volume yields the absorbed mass fraction of the oxide relative to the target alloying element.

4. The method according to claim 2, characterized in that, After obtaining the total absorbed mass fraction of the target alloying element in the non-metallic inclusion, the following steps are taken: Obtain the mass fraction of the target alloying element in the total amount of macroscopic multiple elements; The mass fraction and total absorbed mass fraction are calculated to obtain the true solid solution mass fraction of the target alloying element in the weld matrix.

5. The method according to claim 1, characterized in that, The mass percentage of each oxide phase precipitated within the equilibrium inclusions and the theoretical density of each pure phase were extracted by analyzing the macroscopic total amount of multiple elements in the weld metal, including: Based on the actual chemical composition of the weld metal, thermodynamic equilibrium calculations are performed at a preset target temperature to obtain the calculation results. Based on the calculation results, the mass percentage of each oxide phase and the theoretical density of each pure phase at the target temperature are extracted.

6. The method according to claim 1, characterized in that, Based on the true average diameter and two-dimensional particle number density, the three-dimensional true total integral of the inclusion group in the weld metal volume is calculated, including: Calculate the average volume of a single inclusion in three-dimensional space based on the true average diameter in the three-dimensional space. The two-dimensional particle number density is converted into a three-dimensional number density in three-dimensional space, and the three-dimensional true total integral number is calculated by comparing it with the three-dimensional average volume of the individual inclusion.

7. The method according to claim 6, characterized in that, After calculating the average volume of a single inclusion in three-dimensional space based on the true average diameter in the three-dimensional space, the method further includes: The corresponding three-dimensional space true average radius is calculated based on the true average diameter in the three-dimensional space. To verify whether the true average radius in the three-dimensional space conforms to the growth kinetics model based on oxygen diffusion control in liquid metal.

8. A quantitative decoupling calculation system for multiphase distribution of alloying elements, characterized in that, The system includes: The acquisition module is used to continuously acquire at least a first number of fields of view on the cross section of the weld metal of the target alloy using a scanning electron microscope, and to obtain the two-dimensional equivalent diameter of the inclusion particles in the two-dimensional section and the two-dimensional particle number density per unit measurement area of ​​the large sample based on the fields of view. The calculation module is used to convert the two-dimensional equivalent diameter into the true average diameter in three-dimensional space based on the principle of spatial stereochemistry, and to calculate the three-dimensional true total integral of the inclusion group in the weld metal volume according to the true average diameter and the two-dimensional particle number density. The extraction module is used to extract the mass percentage of each oxide phase precipitated inside the equilibrium inclusion and the theoretical density of each pure phase by the total amount of macroscopic multi-element in the detected weld metal, so as to calculate the overall average density of the inclusion group based on the mass-weighted harmonic average physical model. The decoupling module is used to establish a peeling calculation model based on the law of conservation of mass, using the total amount of macroscopic multi-element, the three-dimensional true total integral, the overall average density, and the elemental composition of each oxide phase, so as to quantitatively decouple the absorbed mass fraction of alloying elements in non-metallic inclusions and the true solid solution mass fraction in the weld matrix.

9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of a quantitative decoupling calculation method for multiphase distribution of alloying elements as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of a quantitative decoupling calculation method for multiphase distribution of alloying elements as described in any one of claims 1-7.

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