Quantitative design method and device for WC composite wire and electronic equipment

Abstract

The invention relates to the technical field of automobile engines, in particular to a quantitative design method and device for WC composite wires, electronic equipment and a computer readable storage medium. The method comprises the steps that the WC adding proportion and a base material are determined based on the performance of a target WC composite wire, and the first element proportion of all component elements in the target WC composite wire is determined according to the base material and the WC adding proportion; obtaining a second element proportion of each component element in each raw material; constructing a mass conservation equation of each component element according to the first element proportion and the second element proportion; and solving all the mass conservation equations to obtain the addition proportion of each raw material. According to the quantitative design method and device of the WC composite wire, the electronic equipment and the computer readable storage medium, the technical effects that the research and development period and the research and development cost can be reduced, and the performance stability and consistency of the WC composite wire can be improved can be achieved.

Description

Technical Field

[0001] This application relates to the field of mechanical manufacturing technology, specifically to a quantitative design method and apparatus for WC composite filaments, electronic equipment, and computer-readable storage medium. Background Technology

[0002] In the field of mechanical manufacturing, core components such as bearings, gears, and rolls typically endure enormous contact stress and complex rolling and sliding friction during service. Their surfaces are highly susceptible to failure modes such as abrasive wear, adhesive wear, and contact fatigue spalling, severely impacting the service life and reliability of equipment. To improve the surface properties of these components, surface strengthening technologies are commonly employed, such as carburizing, nitriding, high-frequency quenching, and hard chrome plating. However, these traditional processes suffer from problems such as thin strengthening layers, limited adhesion, susceptibility to microcracks, and severe environmental pollution, making them unsuitable for increasingly stringent operating conditions.

[0003] In recent years, wire-feed laser additive manufacturing technology has gradually become a hot topic as an advanced surface strengthening and remanufacturing process. This technology deposits alloys with special properties layer by layer on the surface of parts to obtain a deposition layer that is metallurgically bonded to the substrate, has controllable thickness, and a uniform microstructure, effectively overcoming the shortcomings of traditional cladding and surface treatment methods. Among many deposition materials, tungsten carbide (WC) particle-reinforced iron-based composite wires have attracted much attention due to their excellent properties. WC particles have extremely high hardness (HV2400–3000) and excellent wear resistance. Dispersed as a hard reinforcing phase in a steel matrix with good strength and toughness, it can produce a composite deposition layer that combines high hardness, high wear resistance, and high strength and toughness.

[0004] Currently, the latest method for achieving WC-reinforced iron-based composite deposition layers mainly employs flux-cored wire-fed laser additive manufacturing. Compared with traditional gas metal arc welding, flux-cored laser additive manufacturing offers a series of significant advantages: more controllable heat input, effectively reducing the dissolution and burn-off of WC particles; high forming precision, enabling the fabrication of thick, multi-layered deposition layers and the repair and fabrication of complex structures; good process stability, with laser-molten pool interaction resulting in a stable deposition process and reduced spatter and defects; high material utilization, simple wire feeding method, and lower cost, making it suitable for large-scale applications.

[0005] However, existing design methods for WC composite wires suffer from serious bottlenecks. Currently, the industry primarily relies on empirical trial-and-error and compositional reverse mapping. Empirical trial-and-error involves conducting numerous experiments by continuously adjusting the proportions of various alloy powders, resulting in long development cycles, high costs, and poor reproducibility. Compositional reverse mapping analyzes the composition of the deposition layers of high-performance wires from abroad to infer the composition of their core powder. However, this method cannot accurately determine key parameters such as the steel strip composition, filling rate, and slagging agent system of the wire. Furthermore, the elemental burn-off and transition behavior during additive manufacturing is extremely complex, leading to significant errors in simple reverse mapping, resulting in WC composite wire performance that deviates considerably from expectations. Summary of the Invention

[0006] In view of this, it is necessary to provide a quantitative design method and apparatus, electronic equipment and computer-readable storage medium for WC composite filaments, so as to achieve the technical effect of reducing the research and development cycle and research and development cost, and improving the performance stability and consistency of WC composite filaments.

[0007] To address the aforementioned technical problems, in a first aspect, this application provides a quantitative design method for WC composite filaments, comprising: The WC addition ratio and matrix material are determined based on the performance of the target WC composite filament, and the proportion of the first element of each component element in the target WC composite filament is determined according to the matrix material and the WC addition ratio. Obtain the percentage of the second element in each component element of each raw material; Construct the mass conservation equations for each of the component elements based on the proportions of the first and second elements; Solving all the mass conservation equations yields the addition ratio of each of the raw materials.

[0008] In one possible embodiment, constructing the mass conservation equations for each of the component elements based on the proportions of the first and second elements includes: Obtain the transition coefficient of each of the component elements, and construct the mass conservation equation of each of the component elements based on the transition coefficient, the proportion of the first element, and the proportion of the second element; The transition coefficient is the ratio of the proportion of the component element in all mixed raw materials before processing to the proportion of the component element in the target WC composite filament after processing.

[0009] In one possible embodiment, the constituent elements include C, Si, Mn, Cr, Mo, and W; The transition coefficients of C are greater than 70% and less than 85%, Si is greater than 75% and less than 90%, Mn is greater than 78% and less than 92%, Mo is greater than 90% and less than 98%, W is greater than 75% and less than 90%, and Cr is greater than 90% and less than 95%.

[0010] In one possible embodiment, determining the WC addition ratio based on the properties of the target WC composite filament includes: The estimated range of WC addition ratio is determined based on the properties of the target WC composite filament. The target WC composite filament properties and the estimated range of the WC addition ratio are substituted into the pre-trained mathematical model to obtain the WC addition ratio output by the mathematical model.

[0011] In one possible embodiment, it further includes: The estimated range of processing parameters is determined based on the properties of the target WC composite filament. Substitute the target WC composite filament properties and the estimated range of processing parameters into the mathematical model to obtain the target processing parameters output by the mathematical model.

[0012] In one possible embodiment, it further includes: The target viscosity of the slag-forming agent in the molten state is determined based on the WC addition ratio. The composition of the slagging agent and the percentage of each component are determined based on the target viscosity.

[0013] In one possible embodiment, determining the composition of the slagging agent and the component percentage of each of the components based on the target viscosity includes: The estimated range of the component proportion of each component is determined based on the target viscosity; Substitute the target viscosity and the estimated range of component proportions into the mathematical model to obtain the component proportions output by the mathematical model.

[0014] Secondly, this application provides a quantitative design device for WC composite filaments, comprising: The composition determination module is used to determine the WC addition ratio and matrix material based on the performance of the target WC composite filament, and to determine the first element ratio of each component element in the target WC composite filament according to the matrix material and the WC addition ratio. A raw material acquisition module, wherein the raw material acquisition module is used to acquire the second element percentage of each component element in each raw material; An equation construction module is used to construct mass conservation equations for each of the component elements based on the proportions of the first element and the proportions of the second element. The solution module is used to solve all the mass conservation equations to obtain the addition ratio of each of the raw materials.

[0015] Thirdly, this application also provides an electronic device, including a memory and a processor, wherein, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the quantitative design method of WC composite filaments described in any of the above implementations.

[0016] Fourthly, this application also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the quantitative design method for WC composite filaments described in any of the above implementations.

[0017] The beneficial effects of this application are: Compared with related technologies, the quantitative design method, apparatus, electronic device, and computer-readable storage medium for WC composite filaments provided in this application first determines the required performance of the target WC composite filament, the WC addition ratio, and the matrix material. Then, based on the matrix material and the WC addition ratio, the proportion of the first element in each component element of the target WC composite filament is determined. Since the components of the target WC composite filament remain essentially unchanged before and after processing (i.e., the mass of each component element is conserved), after obtaining the proportion of the second element in each raw material, the mass conservation equation for each component element can be constructed based on the principle that the components remain unchanged before and after processing, according to the proportions of the first and second elements. Solving all the mass conservation equations yields the addition ratio of each raw material, thus realizing the quantitative design of the WC composite filament. This application transforms the traditional experience-based "black box" process into a transparent and controllable quantitative calculation process, achieving high predictability in design, greatly improving R&D efficiency, reducing R&D cycle and cost, and enhancing the performance stability and consistency of the WC composite filament. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating the quantitative design method for WC composite filaments provided in this application embodiment; Figure 2 This is a schematic diagram of the process for determining the WC addition ratio based on the target WC composite filament performance in the quantitative design method for WC composite filament provided in the embodiments of this application. Figure 3 A schematic diagram of the structure of the quantitative design device for WC composite filament provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0021] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0022] The terms "first," "second," etc., used in the embodiments of this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0024] This application provides a quantitative design method and apparatus for WC composite filaments, an electronic device, and a computer-readable storage medium, which are described below.

[0025] Please refer to Figure 1 The quantitative design method for WC composite filaments provided in this application includes: Step S101: Determine the WC addition ratio and matrix material based on the performance of the target WC composite filament, and determine the proportion of the first element of each component element in the target WC composite filament according to the matrix material and the WC addition ratio.

[0026] In this step, the target WC composite filament performance refers to the specific performance requirements of the target WC composite filament, including hardness, wear resistance, and contact fatigue resistance. In this embodiment, the target WC composite filament performance is preset, and the target WC composite filament is designed based on the target WC composite filament performance.

[0027] For details, please refer to Figure 2 The determination of the WC addition ratio based on the target WC composite filament properties specifically includes: Step S201: Determine the estimated range of WC addition ratio based on the target WC composite filament properties.

[0028] In this embodiment, a verified correspondence spectrum is pre-constructed to accurately describe the intrinsic relationship between the WC addition ratio and the key performance indicators of the composite filament. This correspondence spectrum is typically obtained through extensive prior experimental research, thermodynamic simulation calculations, or machine learning training based on known data. It exists in the form of a response surface plot or lookup table, using the WC addition ratio as an input variable and outputting predicted performance indicators such as hardness, abrasion resistance, and contact fatigue resistance. When faced with a target WC composite filament with specific performance requirements, such as a hardness of HRA 92 or higher and a fracture toughness KIC of not less than 12 MPa·m¹ / ², this process first substitutes these specific target WC composite filament properties into the pre-constructed correspondence spectrum. Through inverse solving or interval mapping, the estimated range of the WC addition ratio corresponding to each individual performance indicator is calculated.

[0029] Step S202: Substitute the target WC composite filament properties and the estimated range of WC addition ratio into the pre-trained mathematical model to obtain the WC addition ratio output by the mathematical model.

[0030] Furthermore, the processing parameter estimation range is determined based on the properties of the target WC composite filament; the properties of the target WC composite filament and the processing parameter estimation range are substituted into the mathematical model to obtain the target processing parameters output by the mathematical model.

[0031] In this application, the target viscosity of the slagging agent in the molten state is determined based on the WC addition ratio; the composition of the slagging agent and the component ratio of each component are determined based on the target viscosity. Specifically, determining the composition of the slagging agent and the component ratio of each component based on the target viscosity includes: determining the estimated range of the component ratio of each component based on the target viscosity; and substituting the target viscosity and the estimated component ratio range into a mathematical model to obtain the component ratio output by the mathematical model.

[0032] Taking the Box-Behnken Design (BBD) analysis method as an example, three key design variables are selected as factors: X1: Target WC content (mass fraction) in the sedimentary layer WC, as a reinforcing phase, directly affects the hardness and wear resistance of the deposited layer. However, excessive content can easily lead to WC particle agglomeration and cracking of the deposited layer, while insufficient content results in insignificant reinforcing effects. Based on the results of previous experiments, the recommended content ranges are 8% (-1), 10% (0), and 12% (+1). This range ensures the effective function of the reinforcing phase while avoiding forming defects caused by excessive WC content.

[0033] X2: Laser thermal input (kW) Laser heat input is achieved by adjusting the laser power (fixed scanning speed 8 mm / s, wire feed speed 1.2 m / min), directly affecting the molten pool temperature and cooling rate: when the heat input is too low, the core wire melts insufficiently, and WC particles are difficult to disperse uniformly; when the heat input is too high, WC particles are prone to over-dissolution (WC reacts with the matrix metal to form brittle phases such as W2C and Fe3W3C), resulting in a decrease in the hardness and wear resistance of the deposited layer. Therefore, the laser heat input range was determined to be 1.2 kW (-1), 1.6 kW (0), and 2.0 kW (+1).

[0034] X3: Total SiO2+MgO ​​content (mass fraction) in the slag system The main functions of the slag system in flux-cored wire are deoxidation, slag formation, and improvement of molten pool fluidity. SiO2 and MgO are the core viscosity modifiers: SiO2 reduces molten slag viscosity, while MgO improves molten slag stability and interfacial wettability. Their synergistic effect influences the floating and settling behavior of WC particles in the molten pool. When the content is too low, the molten slag viscosity is insufficient, making it difficult to encapsulate WC particles; when the content is too high, the molten slag fluidity deteriorates, leading to uneven distribution of WC particles. Based on slag system design theory, the horizontal range is determined to be 4% (-1), 6% (0), and 8% (+1).

[0035] Three core performance indicators were selected as response values ​​to comprehensively evaluate the mechanical properties and microstructure uniformity of the deposition layer. The testing methods strictly followed relevant standards. Y1: Macroscopic hardness of the sedimentary layer (HRC) The Rockwell hardness tester (HR-150A) was used for testing. Before the test, the deposited layer sample was polished to a surface roughness Ra≤0.8μm. Five test points were evenly selected on the cross-section of the deposited layer (avoiding the edge and defect areas). The loading force was 150kgf and the holding time was 15s. The average value of the five test results was taken as the final hardness value, which reflects the overall deformation resistance of the deposited layer.

[0036] Y2: Weight loss due to wear (mg) Dry friction and wear tests were conducted using a pin-disc wear testing machine (MMW-1). Test parameters were as follows: GCr15 steel balls (hardness HRC62) as the grinding pair; load 50 N; rotational speed 300 r / min; wear time 60 min; wear radius 5 mm. Before the test, the sample mass was weighed using an electronic balance (accuracy 0.01 mg). After the test, the sample was ultrasonically cleaned to remove surface debris and weighed again. The mass loss was calculated; a smaller wear amount indicated better wear resistance.

[0037] Y3: WC Particle distribution uniformity coefficient Quantitative characterization was performed using metallographic image analysis. After mounting, grinding, and polishing, the deposited layer sample was etched using aqua regia. SEM images of the cross-section of the deposited layer (500x magnification) were captured using a scanning electron microscope (SEM, SU8010), selecting three different fields of view. The area fraction distribution of WC particles was statistically analyzed using Image-Pro Plus image analysis software. The uniformity coefficient was defined as the reciprocal of the standard deviation of the WC particle area fraction in each field of view, i.e.: Y3 = 1 / σ (σ is the standard deviation of the area fraction of WC particles in the three fields of view) The larger the Y3 value, the more uniform the distribution of WC particles in the deposition layer, thus avoiding performance fluctuations caused by local particle enrichment or scarcity.

[0038] Based on the BBD experimental data, a second-order polynomial regression was performed on each response value and three factors. The general form of the model is as follows: Y = β0+ β1X1+ β2X2+ β3X3+ β 11 X1 2 + β 22 X2 2 + β 33 X3 2 + β 12 X1X2+ β13 X1X3+ β 23 X2X3 Where β0 is the intercept term, β1, β2, and β3 are the coefficients of the linear term, and β 11 β 22 β 33 β is the coefficient of the quadratic term. 12 β 13 β 23 The coefficients of the interaction term are used to obtain the regression equations for each response value through software fitting: Hardness regression equation (Y1, HRC): Y1 = 62.35 + 3.12X1 - 2.87X2 + 1.56X3 - 1.98X1 2 -1.75X2 2 - 1.23X3 2 - 1.45X1X2; The regression equation for wear loss weight (Y2, mg) is: Y2 = 0.48 - 0.09X1 + 0.12X2 - 0.05X3 + 0.07X1 2 +0.06X2 2 + 0.04X3 2 + 0.08X1X2; The regression equation for the uniformity coefficient (Y3) is: Y3 = 0.82 + 0.06X1 - 0.08X2 + 0.09X3 - 0.07X1 2 -0.05X2 2 - 0.06X3 2 + 0.05X1X3 - 0.04X2X3.

[0039] To maximize hardness Minimize wear Maximize the uniformity coefficient To achieve this, solving the above equations will yield the WC addition ratio, target processing parameters, and component proportions output by the mathematical model.

[0040] Step S102: Obtain the percentage of the second element in each component element of each raw material.

[0041] In this step, different types of raw materials contain different components, and the proportions of different components are different. The second element proportion is the element proportion of each component in each raw material.

[0042] As shown in the table below:

[0043] Step S103: Construct the mass conservation equations for each component element based on the proportions of the first and second elements, and solve all the mass conservation equations to obtain the addition ratio of each raw material.

[0044] In this step, the transition coefficients of each component element are obtained, and the mass conservation equations of each component element are constructed based on the transition coefficients, the proportion of the first element, and the proportion of the second element. The transition coefficient is the ratio of the proportion of the component element before processing in all mixed raw materials to the proportion of the component element after processing in the target WC composite filament.

[0045] The constituent elements include C, Si, Mn, Cr, Mo, and W; the transition coefficient of C is greater than 70% and less than 85%, the transition coefficient of Si is greater than 75% and less than 90%, the transition coefficient of Mn is greater than 78% and less than 92%, the transition coefficient of Mo is greater than 90% and less than 98%, the transition coefficient of W is greater than 75% and less than 90%, and the transition coefficient of Cr is greater than 90% and less than 95%.

[0046] Furthermore, the mass conservation equation is constructed based on the transition coefficient as follows:

[0047] : Represents an element The target mass fraction in the final deposited metal layer.

[0048] : Indicates the filling rate of the core filament, that is, the percentage of the mass of the drug powder to the total mass of the filament.

[0049] : Represents an element Mass fraction in wire steel strip.

[0050] : Represents an element The transition coefficient in laser filament deposition process, which is the percentage of metal that transitions from the filament to the deposited layer.

[0051] : indicates the first Elements in alloy raw material powder The quality score.

[0052] : indicates that in a unit mass (e.g., 100g) of core powder, the first The quality of the raw materials.

[0053] : Total raw material deposition efficiency.

[0054] Assume the total mass of raw materials is The total mass of the silk material is ,but Taking a 42CrMo matrix as an example, an equilibrium equation can be established for each key element (such as C, Si, Mn, Cr, Mo, W) in the WC composite wire. For example, for the Cr element:

[0055] in The target WC composite filament quality, and Approximately proportional. Solving the system of equations for all elements, we obtain a linear system of equations in the following form:

[0056] in: It is the mass vector of the various raw material powders to be determined (such as high-carbon ferrochrome, silicon-manganese alloy, ferromolybdenum, WC powder, graphite powder, etc.).

[0057] It is based on the composition of the target sedimentary layer and steel strip composition The calculated net demand vector for the target element.

[0058] It is a coefficient matrix, where each column represents a raw material powder and each row represents a chemical element. The elements in the matrix... For the first The raw material powder for element Contribution coefficient (and) and (Related).

[0059] To illustrate with a specific example: assuming the target WC composite wire is 42CrMo + 10% WC, the steel strip is H08A, and the filler content is... Optional raw materials for the pharmaceutical powder include: high-carbon ferrochrome (FeCr60C8), ferrosilicon (FeMn65Si17), ferromolybdenum (FeMo60), WC powder, electrolytic manganese, ferrosilicon, and graphite powder. First, the net content of each element to be added from the powder is calculated based on the target composition. Then, a six-variable linear equation system is established for C, Si, Mn, Cr, Mo, and W. By solving this equation system, the precise amount of each raw material powder to be added can be obtained. This method transforms formulation design from fuzzy empirical judgment to precise mathematical solution, which is the fundamental guarantee for achieving precise control of the composition.

[0060] The proportion of the first element is:

[0061] The proportion of the second element is:

[0062] Taking 1000g of wire as an example, the weight of its steel strip is The quality of the medicinal powder is The final quality of the sedimentary layer is approximately: , here The steel strip deposition efficiency (the wire material does not enter the deposition material 100% due to splashing, evaporation and slag, etc., resulting in some mass loss; the deposition rate refers to the mass of coated metal / the mass of wire consumed) is taken as 99%; The powder deposition efficiency is taken as 88.3%.

[0063] Taking Cr as an example, its equilibrium equation is: ; Substituting the specific data, we get: ; The equilibrium equations for the six elements C, Si, Mn, Cr, Mo, and W were combined to form a system of six linear equations. This system was solved using MATLAB software to obtain the required amounts of each alloying raw material powder in 280g of pharmaceutical powder. The calculated results were then converted into a formula for 100g of pharmaceutical powder, as shown in the table below.

[0064]

[0065] Compared with related technologies, the quantitative design method for WC composite filaments provided in this application first determines the required performance of the target WC composite filament, the WC addition ratio, and the matrix material. Then, based on the matrix material and the WC addition ratio, the proportion of the first element in each component of the target WC composite filament is determined. Since the components of the target WC composite filament remain essentially unchanged before and after processing (i.e., the mass of each component is conserved), after obtaining the proportion of the second element in each raw material, the mass conservation equation for each component can be constructed based on the principle that the components remain unchanged before and after processing, according to the proportions of the first and second elements. Solving all the mass conservation equations yields the addition ratio of each raw material, thus achieving quantitative design of the WC composite filament. This application transforms the traditional experience-based "black box" process into a transparent and controllable quantitative calculation process, achieving high predictability in design, greatly improving R&D efficiency, reducing R&D cycle and costs, and enhancing the performance stability and consistency of the WC composite filament.

[0066] To better implement the quantitative design method for WC composite filaments in the embodiments of this application, based on the quantitative design method for WC composite filaments, correspondingly, as follows: Figure 3 As shown in the embodiments of this application, a quantitative design device for WC composite filaments is also provided. The quantitative design device for WC composite filaments includes: The composition determination module 301 is used to determine the WC addition ratio and matrix material based on the performance of the target WC composite filament, and to determine the first element ratio of each component element in the target WC composite filament according to the matrix material and the WC addition ratio. The raw material acquisition module 302 is used to acquire the proportion of the second element of each component element in each raw material. Equation construction module 303 is used to construct the mass conservation equations of each component element based on the proportion of the first element and the proportion of the second element. Solver Module 304 is used to solve all mass conservation equations to obtain the addition ratio of each raw material.

[0067] The quantitative design device for WC composite filaments provided in the above embodiments can realize the technical solutions described in the above embodiments of the quantitative design method for WC composite filaments. The specific implementation principles of each module or unit can be found in the corresponding content in the above embodiments of the quantitative design method for WC composite filaments, and will not be repeated here.

[0068] Please refer to Figure 4 This application also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402, and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0069] In some embodiments, processor 401 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 402 or process data, such as the quantitative design method of WC composite filament in this application.

[0070] In some embodiments, processor 401 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, intranet, multi-cloud, etc., or any combination thereof.

[0071] In some embodiments, memory 402 may be an internal storage unit of electronic device 400, such as a hard disk or memory of electronic device 400. In other embodiments, memory 402 may also be an external storage device of electronic device 400, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 400.

[0072] Furthermore, the memory 402 may include both internal storage units of the electronic device 400 and external storage devices. The memory 402 is used to store application software and various types of data installed on the electronic device 400.

[0073] In some embodiments, display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 403 is used to display information from electronic device 400 and to display a visual user interface. Components 401-403 of electronic device 400 communicate with each other via a system bus.

[0074] In one embodiment, when processor 401 executes the quantitative design program for WC composite filament in memory 402, the following steps can be implemented: The WC addition ratio and matrix material are determined based on the performance of the target WC composite filament. The proportion of the first element of each component element in the target WC composite filament is determined based on the matrix material and the WC addition ratio. Obtain the percentage of the second element in each component element of each raw material; Construct the mass conservation equations for each component element based on the proportions of the first and second elements; Solving all the mass conservation equations yields the proportions of each raw material to be added.

[0075] It should be understood that when the processor 401 executes the quantitative design program for WC composite filament in the memory 402, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0076] Furthermore, this application does not specifically limit the type of electronic device 400 mentioned in the embodiments. Electronic device 400 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of this application, electronic device 400 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0077] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions in the quantitative design method for WC composite filaments provided in the above-described method embodiments.

[0078] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0079] The quantitative design method, apparatus, electronic device, and storage medium for WC composite filaments provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A quantitative design method for WC composite filaments, characterized in that, include: The WC addition ratio and matrix material are determined based on the performance of the target WC composite filament, and the proportion of the first element of each component element in the target WC composite filament is determined according to the matrix material and the WC addition ratio. Obtain the percentage of the second element in each component element of each raw material; Construct the mass conservation equations for each of the component elements based on the proportions of the first and second elements; Solving all the mass conservation equations yields the addition ratio of each of the raw materials.

2. The quantitative design method for WC composite filaments according to claim 1, characterized in that, The step of constructing the mass conservation equations for each of the constituent elements based on the proportions of the first and second elements includes: Obtain the transition coefficient of each of the component elements, and construct the mass conservation equation of each of the component elements based on the transition coefficient, the proportion of the first element, and the proportion of the second element; The transition coefficient is the ratio of the proportion of the component element in all mixed raw materials before processing to the proportion of the component element in the target WC composite filament after processing.

3. The quantitative design method for WC composite filaments according to claim 2, characterized in that, The constituent elements include C, Si, Mn, Cr, Mo, and W; The transition coefficients of C are greater than 70% and less than 85%, Si is greater than 75% and less than 90%, Mn is greater than 78% and less than 92%, Mo is greater than 90% and less than 98%, W is greater than 75% and less than 90%, and Cr is greater than 90% and less than 95%.

4. The quantitative design method for WC composite filaments according to claim 1, characterized in that, The determination of the WC addition ratio based on the target WC composite filament properties includes: The estimated range of WC addition ratio is determined based on the properties of the target WC composite filament. The target WC composite filament properties and the estimated range of the WC addition ratio are substituted into the pre-trained mathematical model to obtain the WC addition ratio output by the mathematical model.

5. The quantitative design method for WC composite filaments according to claim 4, characterized in that, Also includes: The estimated range of processing parameters is determined based on the properties of the target WC composite filament. Substitute the target WC composite filament properties and the estimated range of processing parameters into the mathematical model to obtain the target processing parameters output by the mathematical model.

6. The quantitative design method for WC composite filaments according to claim 1, characterized in that, Also includes: The target viscosity of the slag-forming agent in the molten state is determined based on the WC addition ratio. The composition of the slagging agent and the percentage of each component are determined based on the target viscosity.

7. The quantitative design method for WC composite filaments according to claim 5, characterized in that, The step of determining the composition of the slagging agent and the proportion of each component based on the target viscosity includes: The estimated range of the component proportion of each component is determined based on the target viscosity; Substitute the target viscosity and the estimated range of component proportions into the mathematical model to obtain the component proportions output by the mathematical model.

8. A quantitative design device for WC composite filaments, characterized in that, include: The composition determination module is used to determine the WC addition ratio and matrix material based on the performance of the target WC composite filament, and to determine the first element ratio of each component element in the target WC composite filament according to the matrix material and the WC addition ratio. A raw material acquisition module, wherein the raw material acquisition module is used to acquire the second element percentage of each component element in each raw material; An equation construction module is used to construct mass conservation equations for each of the component elements based on the proportions of the first element and the proportions of the second element. The solution module is used to solve all the mass conservation equations to obtain the addition ratio of each of the raw materials.

9. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the quantitative design method for WC composite filaments according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the quantitative design method of WC composite filament as described in any one of claims 1 to 7.

Images