Refractory component automated production system and method based on 3D printing technology

Abstract

The present application discloses an automated production system and method for refractory components based on 3D printing technology, which relates to the technical field of clay component production. The system and method collect material property data of clay materials to obtain the addition amount of the first clay material and the second clay material; train a compatibility prediction model; select a transition layer material and a high-temperature sintering aid, obtain the addition amount of the high-temperature sintering aid and the addition amount of the transition layer material, obtain the material property data of the transition layer, and respectively predict the first compatibility matrix and the second compatibility matrix; construct an objective function and constraint conditions based on material performance data, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and solve the optimal transition layer design parameters and the addition amount of the high-temperature sintering aid; generate a clay component through 3D printing, obtain the transition layer performance test results and calculate the performance deviation, construct a penalty function based on the performance deviation, and correct the objective function, thereby realizing the optimization of 3D printed transition layers between different materials.

Description

Technical Field

[0001] The present application relates to the technical field of clay component production, and in particular to an automated production system and method for refractory components based on 3D printing technology. Background Art

[0002] Furnace insulation refractory materials play a vital role in high-temperature industries. Traditional refractory component production methods mainly include press molding, casting molding and spraying, etc., which make it difficult to achieve precise control and gradient distribution of material properties when producing complex structures. In recent years, 3D printing technology has made significant progress in the field of material manufacturing, bringing new possibilities for the production of refractory components. 3D printing technology can produce more complex geometric shapes and achieve precise control and gradient distribution of material properties. The connection between two different components adopts physical connection, which mainly relies on the physical forces between materials, such as van der Waals force, electrostatic force, capillary force, etc., to achieve the bonding between the transition layer and the two parts of the component.

[0003] However, in multi-material 3D printed refractory clay components, due to the poor compatibility between different refractory clay materials and unreasonable transition layer material selection and design parameters, the connection strength between different parts of the components is low and the overall performance is poor. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems in the related art to a certain extent. To this end, one purpose of the present application is to propose an automated production system and method for refractory components based on 3D printing technology, which realizes the optimization of transition layers between different materials during 3D printing.

[0005] One aspect of the present application provides a method for automated production of refractory components based on 3D printing technology, comprising:

[0006] Step S100: collecting material property data of various refractory clay materials, and obtaining the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B;

[0007] The specific method of collecting the material property data of various refractory clay materials and obtaining the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B is:

[0008] Step S110: collecting material property data of various refractory clay materials;

[0009] Step S120: respectively obtaining a first clay material combination and a first clay material addition amount of part A to be connected by 3D printing and a second clay material combination and a second clay material addition amount of part B, wherein the first clay material combination and the second clay material combination respectively include a type of clay material and b type of clay material;

[0010] Step S200: training a compatibility prediction model for predicting compatibility scores between clay materials;

[0011] The specific method of training the compatibility prediction model for predicting the compatibility scores between clay materials is:

[0012] Step S210: preparing n groups of clay material combinations according to different mixing ratios of various clay materials, and recording the amount of clay material added in each group;

[0013] Step S220: Obtaining compatibility scores between clay materials in each clay material combination, wherein the compatibility score is equal to 0 or 1. When the compatibility score is 0, it indicates that the clay materials are incompatible, and when the compatibility score is 1, it indicates that the clay materials are compatible;

[0014] Step S230: marking the compatibility score between the clay materials in each clay material combination as the true label of the clay material combination, taking the material property data and the clay material addition amount of each clay material in each clay material combination as input data, and taking the corresponding compatibility score as output data, to construct a training sample;

[0015] Step S240: using a multilayer perceptron MLP as an initial model, wherein the multilayer perceptron has a three-layer structure, including an input layer, a hidden layer, and an output layer, wherein activation functions of the hidden layer and the output layer respectively use a ReLU function and a Sigmoid function, wherein the output layer outputs a probability value of a compatibility score of 1;

[0016] Step S250: using a binary cross entropy loss function as a loss function for training a compatibility prediction model, using training samples to train the compatibility prediction model, and when the value of the binary cross entropy loss function converges, the training is completed, and a trained compatibility prediction model is obtained;

[0017] Step S260: Preset a probability threshold, when the probability value of the output compatibility score of 1 is greater than the probability threshold, it means that the clay materials are compatible, otherwise they are incompatible;

[0018] Step S300: selecting a transition layer material and a high temperature sintering aid as a transition layer material combination, obtaining an addition amount of the high temperature sintering aid and an addition amount of the transition layer material, obtaining property data of the transition layer material, and predicting a first compatibility matrix and a second compatibility matrix between the transition layer and part A and part B respectively based on a compatibility prediction model;

[0019] The specific method of selecting a transition layer material and a high temperature sintering aid as a transition layer material combination, obtaining the addition amount of the high temperature sintering aid and the addition amount of the transition layer material, obtaining the property data of the transition layer material, and predicting the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B respectively based on the compatibility prediction model is as follows:

[0020] Step S310: selecting a transition layer material between the connecting portion A and the portion B according to the collected material property data of various clay materials, wherein the transition layer material has c types in total;

[0021] Step S320: selecting a high temperature sintering aid as an additive for the transition layer material, and combining the selected c types of transition layer materials and the high temperature sintering aid as the transition layer material;

[0022] Step S330: obtaining the addition amount of transition layer material X={X1, X2, ..., Xc} and the addition amount of high temperature sintering aid;

[0023] Step S340: Taking the amount of transition layer material added and its material property data, the amount of first clay material added and its material property data of part A as input, and using the compatibility prediction model to predict the first compatibility matrix between the transition layer and part A The amount of transition layer material added and its material property data and the amount of the second clay material added and its material property data of part B are used as input, and the second compatibility matrix between the transition layer and part B is obtained using the compatibility prediction model. ;

[0024] Step S400: constructing an objective function and constraint conditions based on material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, taking the transition layer design parameters and the addition amount of the high-temperature sintering aid as optimization variables, and solving for the optimal transition layer design parameters and the addition amount of the high-temperature sintering aid;

[0025] The objective function and constraint conditions are constructed based on the material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and the transition layer design parameters and the amount of high-temperature sintering aid added are used as optimization variables. The specific method for solving the optimal transition layer design parameters and the amount of high-temperature sintering aid added is:

[0026] Step S410: constructing an objective function F(X) based on the material performance data f1(X) of the refractory clay component, the cost-effectiveness f2(X) and the transition layer connection strength f3(X), the first compatibility matrix and the second compatibility matrix, and taking minimizing the objective function F(X) as the optimization goal;

[0027] The expression of the optimization objective is: , in, is the sum of all elements in the first compatible matrix, is the sum of all elements in the second compatible matrix, , , , , is the weight coefficient of each item;

[0028] Step S420: Based on the refractoriness of the refractory clay component , compressive strength and thermal shock parameters , build material performance data for refractory clay components The calculation formula of

[0029] The calculation formula for the material performance data is: f1(X)= [ α1× T(X) p1 +α2× P(X) p2 +α2× e R(X)×p3 ] 1 q ,in, , , They represent the refractoriness, compressive strength and thermal shock parameters of refractory clay components, α1, α2 and α3 are the weight coefficients of refractoriness, compressive strength and thermal shock parameters, respectively, and p1, p2, p3 and q are fitting parameters;

[0030] The calculation formula of the refractoriness is: T(X)= [ ∑ j =1 c ( Xj × T j k j )] 1 ∑ k j × [ 1+ β 1 ×s×exp - E 1 R × T ] ,in, is the amount of material added for the jth transition layer, is the refractoriness of the j-th transition layer material, kj is the weight coefficient of the j-th transition layer material in terms of refractoriness, β1 is the promotion coefficient of the high-temperature sintering aid in terms of refractoriness, s is the amount of high-temperature sintering aid added, E1 is the apparent activation energy of refractoriness, R is the gas constant, and T is the absolute temperature;

[0031] The calculation formula of the compressive strength is: P(X)= [ ∑ j =1 c ( Xj × P j mj )] 1 ∑ mj × [1+ β2× s × exp - E 2 R × T ] ,in, j is the compressive strength of the j-th transition layer material, mj is the weight coefficient of the j-th transition layer material in terms of compressive strength, β2 is the promotion coefficient of the high-temperature sintering aid in terms of compressive strength, and E2 is the apparent activation energy of compressive strength;

[0032] The calculation formula of the thermal shock parameter is: R(X)= [ ∑ j =1 c (  Xj × Rj nj )] 1 ∑ nj × [1+ β3× s × exp - E 3 R × T ] , where Rj is the thermal shock parameter of the j-th transition layer material, nj is the weight coefficient of the j-th transition layer material in terms of the thermal shock parameter, β3 is the promotion coefficient of the high-temperature sintering aid in terms of the thermal shock parameter, and E3 is the apparent activation energy of the thermal shock parameter;

[0033] Step S430: construct the cost-effectiveness of the refractory clay component based on the unit cost of the j-th transition layer material, the clay material in part A and part B, and the high-temperature sintering aid The calculation formula of

[0034] The cost-effectiveness calculation formula is: , where Cj is the unit cost of the jth transition layer material, , , are the unit costs of clay materials and high temperature sintering aids in Part A and Part B, respectively, and xA and xB are the amounts of clay materials added in Part A and Part B, respectively;

[0035] Step S440: Connection strength factor based on transition layer material and surface activation energy Eu, constructing the transition layer connection strength of refractory clay components The calculation formula of

[0036] The calculation formula of the transition layer connection strength is: ,in, is the connection strength factor of the jth transition layer material, Eu is the apparent activation energy, u={1,2,3}, λ is the nonlinear weighted index, , are the saturation coefficients of the addition amount of transition layer material and high temperature sintering aid, is the influencing factor of transition layer design parameters, For the optimal thickness, is the thickness of the transition layer;

[0037] Step S450: Count the number of all elements in the first compatibility matrix that are equal to 1 and set it as the first compatibility , count the number of elements in the second compatibility matrix that are equal to 1 and set it as the second compatibility , construct compatibility constraints, transition layer thickness constraints, and material addition constraints to obtain the constraint conditions of the objective function;

[0038] The specific method of constructing the compatibility constraint, the transition layer thickness constraint, and the material addition constraint is:

[0039] Step S451: preset a compatibility threshold ε, and construct a compatibility constraint based on the absolute values ​​of the differences between the first compatibility, the second compatibility and the compatibility reference value;

[0040] The expression of the compatibility constraint is: , ,in, , are the first compatibility and the second compatibility respectively, and V is the compatibility reference value;

[0041] Step S452: respectively obtaining a first thickness hA and a second thickness hB of the connection end between the portion A and the portion B and the transition layer, and establishing a transition layer thickness constraint based on the first thickness and the second thickness;

[0042] The expression of the transition layer thickness constraint is: , ,in, is the transition layer thickness, is the thickness fluctuation range;

[0043] Step S453: Setting the maximum amount of transition layer material added and minimum value , the maximum value of high temperature sintering aid addition amount s and minimum value , build material addition amount constraints;

[0044] The expression of the material addition constraint is: , ;

[0045] Step S460: taking the transition layer design parameters and the addition amount of the high-temperature sintering aid as optimization variables, the transition layer design parameters including the transition layer thickness and the addition amount of the transition layer material, selecting a genetic algorithm to optimize the objective function, and obtaining the optimal transition layer design parameters and the addition amount of the high-temperature sintering aid;

[0046] Step S500: Based on the optimal transition layer design parameters and the amount of high-temperature sintering aid added, part A and part B are connected by 3D printing technology to generate a refractory clay component, the transition layer performance test results of the refractory clay component are obtained and the performance deviation is calculated, a penalty function is constructed based on the performance deviation, and the objective function is corrected;

[0047] The specific method of obtaining the performance test results of the transition layer of the refractory clay component and calculating the performance deviation, constructing a penalty function based on the performance deviation, and correcting the objective function is as follows:

[0048] Step S510: performing a performance test on the 3D printed refractory clay component to obtain a transition layer performance test result, wherein the transition layer performance test result includes material performance, cost performance, and connection strength performance;

[0049] Step S520: Calculate the difference between the material performance, cost performance and connection strength performance and the material performance data, cost benefit and transition layer connection strength to obtain performance deviation, which includes material performance deviation , cost-effectiveness bias and connection strength deviation ;

[0050] Step S530: Based on material performance deviation , cost-effectiveness bias and connection strength deviation , construct the penalty function , modify the objective function to obtain a modified objective function, and use the modified objective function to replace the original objective function;

[0051] The functional expression of the penalty function is: ,in, is the penalty coefficient, is the deviation term, r={1,2,3};

[0052] The expression of the modified objective function is: F(X) ’ = - ω 1 ×[ f1(X) + φ( ∆ f 1 ) ]+ ω 2 ×[ f2(X) + φ( ∆ f 2 ) ]- ω 3 ×[ f3(X) + φ( ∆ f 3 ) ]- ω 4 × sum MA a × c - ω 5 × sum MB b × c ,in, is the penalty function of the material performance data item, is the penalty function of the cost-effectiveness term, is the penalty function of the transition layer connection strength term.

[0053] One aspect of the present application provides a refractory component automated production system based on 3D printing technology, comprising:

[0054] A material data collection module, used to collect material property data of various refractory clay materials, and obtain the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B;

[0055] A compatibility model training module, used for training a compatibility prediction model for predicting compatibility scores between clay materials;

[0056] A compatibility matrix prediction module is used to select a transition layer material and a high-temperature sintering aid as a transition layer material combination, obtain the addition amount of the high-temperature sintering aid and the addition amount of the transition layer material, obtain the property data of the transition layer material, and predict the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B respectively based on the compatibility prediction model;

[0057] The optimization variable solving module is used to construct the objective function and constraint conditions based on the material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and to solve the optimal transition layer design parameters and high-temperature sintering additive addition amount by taking the transition layer design parameters and high-temperature sintering additive addition amount as optimization variables;

[0058] The objective function correction module is used to connect part A and part B to generate a refractory clay component through 3D printing technology based on the optimal transition layer design parameters and the addition amount of high-temperature sintering aids, obtain the transition layer performance test results of the refractory clay component and calculate the performance deviation, construct a penalty function based on the performance deviation, and correct the objective function.

[0059] One aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the automated production method of refractory components based on 3D printing technology are implemented.

[0060] One aspect of the present application provides a readable storage medium storing a computer program, wherein the computer program is suitable for loading by a processor to execute steps in a method for automated production of refractory components based on 3D printing technology.

[0061] The refractory component automated production system and method based on 3D printing technology proposed in this application has the following advantages over the prior art:

[0062] This application uses machine learning methods to predict the compatibility between different clay materials, and constructs an objective function based on the compatibility between clay materials, ensuring that the optimized transition layer design parameters and the amount of high-temperature sintering aid added improve the connection strength of the transition layer;

[0063] This application calculates the material performance data of refractory clay components based on refractoriness, compressive strength and thermal shock parameters, and constructs an objective function based on the material performance data so that the optimized parameters can maximize the material performance of the clay material;

[0064] The present application constructs an objective function based on the first compatibility matrix and the second compatibility matrix, so that the optimized parameters can maximize the compatibility between the materials of the transition layer and the component;

[0065] The present application actually prints clay components based on optimized parameters, and modifies the objective function through test result feedback, thereby improving the accuracy and reliability of the objective function and optimization results. This closed-loop feedback mechanism ensures the adaptability of the present application in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A method flow chart of the automated production method of refractory components based on 3D printing technology provided in this application;

[0067] Figure 2 A flow chart of a method for obtaining optimal transition layer design parameters and high-temperature sintering aid addition amounts for the automated production method of refractory components based on 3D printing technology provided in this application;

[0068] Figure 3 A flow chart of the method for constructing constraint conditions of the objective function of the automated production method of refractory components based on 3D printing technology provided in this application;

[0069] Figure 4Functional module diagram of the automated production system for refractory components based on 3D printing technology provided in this application. DETAILED DESCRIPTION

[0070] In order to better understand the present application, various aspects of the present application will be described in more detail with reference to the accompanying drawings. It should be understood that these detailed descriptions are only descriptions of exemplary embodiments of the present application and do not limit the scope of the present application in any way. Throughout the specification, the same reference numerals refer to the same elements. The expression "and / or" includes any and all combinations of one or more of the associated listed items.

[0071] In the accompanying drawings, the size, dimensions and shapes of the elements have been slightly adjusted for ease of illustration. The drawings are for illustration only and are not strictly drawn to scale. As used herein, the terms "substantially", "approximately" and similar terms are used as terms of approximation, not as terms of degree, and are intended to illustrate the inherent deviations in measurements or calculations that will be recognized by those of ordinary skill in the art. In addition, in this application, the order in which the steps are described does not necessarily represent the order in which these processes occur in actual operation, unless otherwise specified or can be derived from the context.

[0072] It should also be understood that expressions such as "including", "comprising", "having", "containing" and / or "comprising" are open rather than closed expressions in this specification, which indicate the presence of the stated features, elements and / or components, but do not exclude the presence of one or more other features, elements, components and / or combinations thereof. In addition, when expressions such as "at least one of..." appear after a list of listed features, they modify the entire list of features rather than just the individual elements in the list. In addition, when describing embodiments of the present application, "may" is used to mean "one or more embodiments of the present application". And, the term "exemplary" is intended to refer to an example or illustration.

[0073] Unless otherwise defined, all words (including engineering terms and scientific and technological terms) used in this article have the same meaning as those commonly understood by ordinary technicians in the field to which this application belongs. It should also be understood that unless there is a clear explanation in this application, words defined in commonly used dictionaries should be interpreted as having the same meaning as their meaning in the context of the relevant technology, and should not be interpreted in an idealized or overly formal sense.

[0074] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0075] Example 1

[0076] like Figure 1 As shown, the automated production method of refractory components based on 3D printing technology provided by the present application includes:

[0077] Step S100: collecting material property data of various refractory clay materials, and obtaining the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B;

[0078] The specific method of collecting the material property data of various refractory clay materials and obtaining the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B is:

[0079] Step S110: collecting material property data of various refractory clay materials;

[0080] Step S120: respectively obtaining a first clay material combination and a first clay material addition amount of part A to be connected by 3D printing and a second clay material combination and a second clay material addition amount of part B, wherein the first clay material combination and the second clay material combination respectively include a type of clay material and b type of clay material;

[0081] The part A and the part B are two parts of the same refractory clay component, which are physically connected by 3D printing, and the connected whole constitutes a complete refractory clay component;

[0082] The clay material combination refers to the combination of clay materials contained in Part A or Part B;

[0083] The amount of clay material added refers to the amount of each clay material added in part A or part B;

[0084] The material performance data refers to the refractoriness, compressive strength and thermal shock parameters of part A or part B, which are determined through experiments.

[0085] This step provides a comprehensive understanding of the characteristics of different refractory clay materials, lays the foundation for the rational selection and optimization of material combinations, and provides the necessary material property data and addition amount information for subsequent model training, optimization, and printing.

[0086] Step S200: training a compatibility prediction model for predicting compatibility scores between clay materials;

[0087] The specific method of training the compatibility prediction model for predicting the compatibility scores between clay materials is:

[0088] Step S210: preparing n groups of clay material combinations according to different mixing ratios of various clay materials, and recording the amount of clay material added in each group;

[0089] Step S220: Obtaining compatibility scores between clay materials in each clay material combination, wherein the compatibility score is equal to 0 or 1. When the compatibility score is 0, it indicates that the clay materials are incompatible, and when the compatibility score is 1, it indicates that the clay materials are compatible;

[0090] The compatibility score is obtained by those skilled in the art by designing and conducting a clay material compatibility test to directly test the compatibility between different clay materials;

[0091] Step S230: marking the compatibility score between the clay materials in each clay material combination as the true label of the clay material combination, taking the material property data and the clay material addition amount of each clay material in each clay material combination as input data, and taking the corresponding compatibility score as output data, to construct a training sample;

[0092] Step S240: using a multilayer perceptron MLP as an initial model, wherein the multilayer perceptron has a three-layer structure, including an input layer, a hidden layer, and an output layer, wherein activation functions of the hidden layer and the output layer respectively use a ReLU function and a Sigmoid function, wherein the output layer outputs a probability value of a compatibility score of 1;

[0093] The number of neurons in the input layer is equal to the number of features of the material property data of the clay material, and is used to receive the preprocessed features;

[0094] The hidden layer adopts a single-layer structure, and the number of neurons is the product of the number of neurons in the input layer and the number of neurons in the output layer, so as to capture the interaction and compatibility patterns between materials;

[0095] The number of neurons in the output layer is equal to the dimension of the compatibility score, and the compatibility is predicted based on the representation of the hidden layer; preferably, the dimension of the compatibility score is equal to 2, which refers to the compatibility between the two clay materials;

[0096] Step S250: using a binary cross entropy loss function as a loss function for training a compatibility prediction model, using training samples to train the compatibility prediction model, and when the value of the binary cross entropy loss function converges, the training is completed, and a trained compatibility prediction model is obtained;

[0097] The compatibility score is a binary compatibility score, and correspondingly, the loss function is a binary cross entropy loss function;

[0098] The calculation formula of the binary cross entropy loss function is: ,in, refers to the value of the binary cross entropy loss function, is the true label of the training sample, is the probability that the label of the predicted training sample is 1, is a logarithmic function;

[0099] Step S260: Preset a probability threshold, when the probability value of the output compatibility score of 1 is greater than the probability threshold, it means that the clay materials are compatible, otherwise they are incompatible;

[0100] The probability threshold is set by those skilled in the art according to actual needs and experience.

[0101] This step uses machine learning methods to predict the compatibility between different clay materials, providing a basis for the selection of transition layer materials. It overcomes the limitations of traditional experience in judging material compatibility and provides a method for quantitatively evaluating compatibility, which helps to select appropriate transition layer materials and improve connection strength.

[0102] Step S300: selecting a transition layer material and a high temperature sintering aid as a transition layer material combination, obtaining an addition amount of the high temperature sintering aid and an addition amount of the transition layer material, obtaining property data of the transition layer material, and predicting a first compatibility matrix and a second compatibility matrix between the transition layer and part A and part B respectively based on a compatibility prediction model;

[0103] The specific method of selecting a transition layer material and a high temperature sintering aid as a transition layer material combination, obtaining the addition amount of the high temperature sintering aid and the addition amount of the transition layer material, obtaining the property data of the transition layer material, and predicting the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B respectively based on the compatibility prediction model is as follows:

[0104] Step S310: selecting a transition layer material between the connecting portion A and the portion B according to the collected material property data of various clay materials, wherein the transition layer material has c types in total;

[0105] Step S320: selecting a high temperature sintering aid as an additive for the transition layer material, and combining the selected c types of transition layer materials and the high temperature sintering aid as the transition layer material;

[0106] The high temperature sintering aid can be selected from alkali metal oxides, alkaline earth metal oxides, and borates.

[0107] Step S330: obtaining the addition amount of transition layer material X={X1, X2, ..., Xc} and the addition amount of high temperature sintering aid;

[0108] Step S340: Taking the amount of transition layer material added and its material property data, the amount of first clay material added and its material property data of part A as input, and using the compatibility prediction model to predict the first compatibility matrix between the transition layer and part A The amount of transition layer material added and its material property data and the amount of the second clay material added and its material property data of part B are used as input, and the second compatibility matrix between the transition layer and part B is obtained using the compatibility prediction model. ;

[0109] Among them, the first compatibility matrix is MA= [ a ij ] a × c , the second compatibility matrix is MB= [ b ij ] b × c , a represents the number of clay material types in part A, b represents the number of clay material types in part B, and c represents the number of transition layer material types. is the dimension of the first compatible matrix, is the dimension of the second compatibility matrix, represents the compatibility score between the i-th clay material and the j-th transition layer material in part A, represents the compatibility score between the i-th clay material and the j-th transition layer material in part B;

[0110] This step is based on the compatibility prediction model and predicts the compatibility of the selected transition layer material with parts A and B, providing a data basis for the subsequent objective function design and parameter optimization.

[0111] Step S400: constructing an objective function and constraint conditions based on material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, taking the transition layer design parameters and the addition amount of the high-temperature sintering aid as optimization variables, and solving for the optimal transition layer design parameters and the addition amount of the high-temperature sintering aid;

[0112] The objective function and constraint conditions are constructed based on the material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and the transition layer design parameters and the amount of high-temperature sintering aid added are used as optimization variables. The specific method for solving the optimal transition layer design parameters and the amount of high-temperature sintering aid added is:

[0113] Step S410: constructing an objective function F(X) based on the material performance data f1(X) of the refractory clay component, the cost-effectiveness f2(X) and the transition layer connection strength f3(X), the first compatibility matrix and the second compatibility matrix, and taking minimizing the objective function F(X) as the optimization goal;

[0114] The expression of the optimization objective is: , in, is the sum of all elements in the first compatible matrix, is the sum of all elements in the second compatible matrix, , , , , is the weight coefficient of each item;

[0115] The weight coefficient is set by those skilled in the art based on experience;

[0116] The first compatibility matrix and the second compatibility matrix vary according to the optimization results of the transition layer design parameters and the amount of high-temperature sintering aid added in the objective function, and the transition layer material addition amount and the amount of high-temperature sintering aid added are manually set with initial values; if the current objective function does not output the optimized transition layer design parameters and the amount of high-temperature sintering aid added, the objective function is optimized based on the initial transition layer material addition amount and the amount of high-temperature sintering aid added; if the current objective function has output the optimized transition layer design parameters and the amount of high-temperature sintering aid added, but the objective function needs to be corrected, the transition layer material addition amount and the amount of high-temperature sintering aid added obtained by the objective function are used for the next step of optimization;

[0117] Step S420: Based on the refractoriness of the refractory clay component , compressive strength and thermal shock parameters , build material performance data for refractory clay components The calculation formula of

[0118] The calculation formula for the material performance data is: f1(X)= [ α1× T(X) p1 +α2× P(X) p2 +α2× e R(X)×p3 ] 1 q ,in, , , They represent the refractoriness, compressive strength and thermal shock parameters of refractory clay components, α1, α2 and α3 are the weight coefficients of refractoriness, compressive strength and thermal shock parameters, respectively, and p1, p2, p3 and q are fitting parameters;

[0119] The fitting parameters are used to describe the nonlinear relationship between refractoriness, compressive strength and thermal shock parameters, and are obtained by collecting and fitting data of refractory clay samples with known formula and performance;

[0120] The calculation formula of the refractoriness is: T(X)= [ ∑ j =1 c ( Xj × T j k j )] 1 ∑ k j × [ 1+ β 1 ×s×exp - E 1 R × T ] ,in, is the amount of material added for the jth transition layer, is the refractoriness of the j-th transition layer material, kj is the weight coefficient of the j-th transition layer material in terms of refractoriness, β1 is the promotion coefficient of the high-temperature sintering aid in terms of refractoriness, s is the amount of high-temperature sintering aid added, E1 is the apparent activation energy of refractoriness, R is the gas constant, and T is the absolute temperature;

[0121] The calculation formula of the compressive strength is: P(X)= [ ∑ j =1 c ( Xj × P j mj )] 1 ∑ mj × [1+ β2× s × exp - E 2 R × T ] ,in, j is the compressive strength of the j-th transition layer material, mj is the weight coefficient of the j-th transition layer material in terms of compressive strength, β2 is the promotion coefficient of the high-temperature sintering aid in terms of compressive strength, and E2 is the apparent activation energy of compressive strength;

[0122] The calculation formula of the thermal shock parameter is: R(X)= [ ∑ j =1 c (  Xj × Rj nj )] 1 ∑ nj × [1+ β3× s × exp - E 3 R × T ] , where Rj is the thermal shock parameter of the j-th transition layer material, nj is the weight coefficient of the j-th transition layer material in terms of the thermal shock parameter, β3 is the promotion coefficient of the high-temperature sintering aid in terms of the thermal shock parameter, and E3 is the apparent activation energy of the thermal shock parameter;

[0123] The weight coefficients of the compressive strength, thermal shock parameters and refractoriness are set by those skilled in the art according to actual needs;

[0124] The promotion factors for compressive strength, thermal shock parameters and refractoriness are set according to the material properties;

[0125] The apparent activation energy of the refractoriness is calculated by the Kissinger equation. The characteristic temperature data is obtained by conducting refractoriness tests on refractory clay components with different proportions. It is assumed that the characteristic temperature data Tc and the heating rate U satisfy the Kissinger equation: , where C is a constant; changing the heating rate to test the refractory clay components, right A linear fit is performed with a slope of , the apparent activation energy of refractoriness is obtained;

[0126] The apparent activation energy of the compressive strength is calculated using the Arrhenius formula method. By preparing a series of refractory clay components with different proportions and conducting compressive strength tests at different temperatures, the relationship between the compressive strength and the temperature is obtained. The compressive strength and the temperature satisfy the Arrhenius exponential relationship: , D is a constant related to the material microstructure, and the Arrhenius exponential relationship between compressive strength and temperature is logarithmized to obtain: ;by right A linear fit is performed with a slope of , from which the apparent activation energy of compressive strength is obtained;

[0127] The apparent activation energy of the thermal shock parameter is calculated using the Arrhenius formula method, and the thermal shock stability of refractory clay components with different ratios at different temperatures is tested using the water quenching method to obtain the relationship between the critical quenching temperature difference ΔTc and the initial temperature T0; assuming that the thermal shock parameter It has an Arrhenius exponential relationship with temperature: , G is a constant related to the thermal physical parameters of the material, and the thermal shock parameters The Arrhenius exponential relationship with temperature can be logarithmized to: ;by right A linear fit is performed with a slope of , and obtain the apparent activation energy of the thermal shock parameters.

[0128] The gas constant R is a basic constant in physical chemistry. It is the proportional coefficient in the ideal gas state equation, representing the volume of 1 mole of ideal gas under standard conditions. The value of R is 8.314 ;

[0129] The absolute temperature T is a thermodynamic temperature scale, expressed in Kelvin (K), and the conversion relationship between it and Celsius t (℃) is: T (K) = t (℃) + 273.15. The temperature value t is directly measured by a thermometer and then the absolute temperature T is obtained according to the conversion relationship;

[0130] Step S430: construct the cost-effectiveness of the refractory clay component based on the unit cost of the j-th transition layer material, the clay material in part A and part B, and the high-temperature sintering aid The calculation formula of

[0131] The cost-effectiveness calculation formula is: , where Cj is the unit cost of the jth transition layer material, , , are the unit costs of clay materials and high temperature sintering aids in Part A and Part B, respectively, and xA and xB are the amounts of clay materials added in Part A and Part B, respectively;

[0132] Step S440: Connection strength factor based on transition layer material and surface activation energy Eu, constructing the transition layer connection strength of refractory clay components The calculation formula of

[0133] The calculation formula of the transition layer connection strength is: ,in, is the connection strength factor of the jth transition layer material, Eu is the apparent activation energy, u={1,2,3}, λ is the nonlinear weighted index, , are the saturation coefficients of the addition amount of transition layer material and high temperature sintering aid, is the influencing factor of transition layer design parameters, For the optimal thickness, is the thickness of the transition layer;

[0134] The connection strength factor of the transition layer material and the influencing factor of the transition layer design parameters are determined by those skilled in the art based on experiments.

[0135] The saturation coefficient reflects the saturation effect of the addition amount of the transition layer material and the addition amount of the high-temperature sintering aid.

[0136] Step S450: Count the number of all elements in the first compatibility matrix that are equal to 1 and set it as the first compatibility , count the number of elements in the second compatibility matrix that are equal to 1 and set it as the second compatibility , construct compatibility constraints, transition layer thickness constraints, and material addition constraints to obtain the constraint conditions of the objective function;

[0137] Figure 3 A flow chart of a method for constructing constraint conditions of an objective function for an automated production method of refractory components based on 3D printing technology provided in this application.

[0138] like Figure 3 As shown, the specific method of constructing the compatibility constraint, the transition layer thickness constraint, and the material addition constraint is:

[0139] Step S451: preset a compatibility threshold ε, and construct a compatibility constraint based on the absolute values ​​of the differences between the first compatibility, the second compatibility and the compatibility reference value;

[0140] The expression of the compatibility constraint is: , ,in, , are the first compatibility and the second compatibility respectively, and V is the compatibility reference value;

[0141] The compatibility threshold is set by those skilled in the art according to actual needs;

[0142] Step S452: respectively obtaining a first thickness hA and a second thickness hB of the connection end between the portion A and the portion B and the transition layer, and establishing a transition layer thickness constraint based on the first thickness and the second thickness;

[0143] The expression of the transition layer thickness constraint is: , ,in, is the transition layer thickness, is the thickness fluctuation range;

[0144] The thickness fluctuation range is set by those skilled in the art based on experience;

[0145] Step S453: Setting the maximum amount of transition layer material added and minimum value , the maximum value of high temperature sintering aid addition amount s and minimum value , build material addition amount constraints;

[0146] The expression of the material addition constraint is: , ;

[0147] Step S460: taking the transition layer design parameters and the addition amount of the high-temperature sintering aid as optimization variables, the transition layer design parameters including the transition layer thickness and the addition amount of the transition layer material, selecting a genetic algorithm to optimize the objective function, and obtaining the optimal transition layer design parameters and the addition amount of the high-temperature sintering aid;

[0148] like Figure 2 As shown, it is a flow chart of a method for obtaining the optimal transition layer design parameters and high-temperature sintering aid addition amount in the automated production method of refractory components based on 3D printing technology provided in the present application.

[0149] This step quantifies the multi-objective factors into a mathematical model to obtain the optimal solution, which takes into account the cost while ensuring performance, avoiding the blindness of empirical design. The optimized parameters can maximize the performance of each material and improve the overall quality of the component.

[0150] Step S500: Based on the optimal transition layer design parameters and the amount of high-temperature sintering aid added, part A and part B are connected by 3D printing technology to generate a refractory clay component, the transition layer performance test results of the refractory clay component are obtained and the performance deviation is calculated, a penalty function is constructed based on the performance deviation, and the objective function is corrected;

[0151] The specific method of connecting part A and part B to generate a refractory clay component by 3D printing technology based on the optimal transition layer design parameters and the amount of high-temperature sintering aid added is:

[0152] The printing speed of 3D printing is set based on the amount of transition layer material added, the layer height of 3D printing is adjusted based on the thickness of the filter layer, the printing flow of each layer in the 3D printing process is adjusted based on the amount of transition layer material added and the amount of high-temperature sintering aid added, and the printing temperature is set based on the selected high-temperature sintering aid;

[0153] The specific method of obtaining the performance test results of the transition layer of the refractory clay component and calculating the performance deviation, constructing a penalty function based on the performance deviation, and correcting the objective function is as follows:

[0154] Step S510: performing a performance test on the 3D printed refractory clay component to obtain a transition layer performance test result, wherein the transition layer performance test result includes material performance, cost performance, and connection strength performance;

[0155] Step S520: Calculate the difference between the material performance, cost performance and connection strength performance and the material performance data, cost benefit and transition layer connection strength to obtain performance deviation, which includes material performance deviation , cost-effectiveness bias and connection strength deviation ;

[0156] The calculation formula for the material property deviation is: ,in, To test the material properties;

[0157] The cost-effectiveness deviation is calculated as: ,in, Cost performance obtained for testing;

[0158] The calculation formula of the connection strength deviation is: ,in, The connection strength performance obtained for the test;

[0159] Step S530: Based on material performance deviation , cost-effectiveness bias and connection strength deviation , construct the penalty function , modify the objective function to obtain a modified objective function, and use the modified objective function to replace the original objective function;

[0160] The functional expression of the penalty function is: ,in, is the penalty coefficient, is the deviation term, r={1,2,3};

[0161] The expression of the modified objective function is: F(X) ’ = - ω 1 ×[ f1(X) + φ( ∆ f 1 ) ]+ ω 2 ×[ f2(X) + φ( ∆ f 2 ) ]- ω 3 ×[ f3(X) + φ( ∆ f 3 ) ]- ω 4 × sum MA a × c - ω 5 × sum MB b × c , in, is the penalty function of the material performance data item, is the penalty function of the cost-effectiveness term, is the penalty function of the transition layer connection strength term;

[0162] The deviation items include material performance deviation , cost-effectiveness bias and connection strength deviation , when r is equal to 1, the deviation term is the material performance deviation , when r is equal to 2, the deviation term is the cost-effectiveness deviation , when r is equal to 3, the deviation term is the connection strength deviation ;

[0163] The value of the penalty coefficient is set by those skilled in the art based on actual needs and experience.

[0164] This step applies the optimization results to practice, corrects the model through measured data, and continuously improves the optimization method. This closed-loop feedback mechanism ensures the effectiveness and adaptability of the solution in actual production. The components are actually printed based on the optimized parameters, and the optimization model is corrected through test result feedback to improve the accuracy and reliability of the optimization.

[0165] Example 2

[0166] like Figure 4 As shown, the refractory component automated production system based on 3D printing technology provided by this application includes:

[0167] A material data collection module, used to collect material property data of various refractory clay materials, and obtain the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B;

[0168] A compatibility model training module, used for training a compatibility prediction model for predicting compatibility scores between clay materials;

[0169] A compatibility matrix prediction module is used to select a transition layer material and a high-temperature sintering aid as a transition layer material combination, obtain the addition amount of the high-temperature sintering aid and the addition amount of the transition layer material, obtain the property data of the transition layer material, and predict the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B respectively based on the compatibility prediction model;

[0170] The optimization variable solving module is used to construct the objective function and constraint conditions based on the material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and to solve the optimal transition layer design parameters and high-temperature sintering additive addition amount by taking the transition layer design parameters and high-temperature sintering additive addition amount as optimization variables;

[0171] The objective function correction module is used to connect part A and part B to generate a refractory clay component through 3D printing technology based on the optimal transition layer design parameters and the addition amount of high-temperature sintering aids, obtain the transition layer performance test results of the refractory clay component and calculate the performance deviation, construct a penalty function based on the performance deviation, and correct the objective function.

[0172] Example 3

[0173] According to another aspect of the present application, an electronic device is provided. The electronic device may include one or more processors and one or more memories. The memories store computer readable codes, and when the computer readable codes are executed by the one or more processors, the above-mentioned automatic production method of refractory components based on 3D printing technology can be executed.

[0174] The method or system according to the implementation manner of the present application can also be implemented with the aid of the architecture of the electronic device of this embodiment. The electronic device may include a bus, one or more CPUs, a read-only memory (ROM), a random access memory (RAM), a communication port connected to a network, an input / output component, a hard disk, and the like. A storage device in the electronic device, such as a ROM or a hard disk, can store the automated production method of refractory components based on 3D printing technology provided in the present application. The automated production method of refractory components based on 3D printing technology may, for example, include: collecting material property data of various refractory clay materials, obtaining the first clay material addition amount of the part A to be connected and the second clay material addition amount of the part B; training a compatibility prediction model for predicting the compatibility score between clay materials; selecting a transition layer material and a high-temperature sintering aid as a transition layer material combination, obtaining the high-temperature sintering aid addition amount and the transition layer material addition amount, obtaining the transition layer material property data, and based on the compatibility prediction model, respectively predicting the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B. Matrix; construct objective function and constraint conditions based on material performance data of refractory clay components, cost-effectiveness, transition layer connection strength, first compatibility matrix and second compatibility matrix, take transition layer design parameters and high-temperature sintering aid addition as optimization variables, solve the optimal transition layer design parameters and high-temperature sintering aid addition; based on the optimal transition layer design parameters and high-temperature sintering aid addition, connect part A and part B through 3D printing technology to generate refractory clay components, obtain the transition layer performance test results of refractory clay components and calculate the performance deviation, construct a penalty function based on the performance deviation, and correct the objective function. Furthermore, the electronic device may also include a user interface. Of course, the architecture shown in this embodiment is only exemplary. When implementing different devices, one or more components in the electronic device shown in this embodiment may be omitted according to actual needs.

[0175] Example 4

[0176] According to another aspect of the present application, a readable storage medium is provided. Computer-readable instructions are stored on the computer-readable storage medium. When the computer-readable instructions are executed by the processor, the automatic production method of refractory components based on 3D printing technology according to the embodiment of the present application described with reference to the above figures can be executed. The storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0177] In addition, according to the implementation mode of the present application, the process described with reference to the flowchart above can be implemented as a computer software program. For example, the present application provides a non-transitory machine-readable storage medium, the non-transitory machine-readable storage medium stores machine-readable instructions, the machine-readable instructions can be executed by a processor to execute instructions corresponding to the method steps provided in the present application, for example: collecting material property data of various refractory clay materials, obtaining the first clay material addition amount of the part A to be connected and the second clay material addition amount of the part B; training a compatibility prediction model for predicting the compatibility score between clay materials; selecting a transition layer material and a high-temperature sintering aid as a transition layer material combination, obtaining the high-temperature sintering aid addition amount and the transition layer material addition amount, obtaining the transition layer material property data, and based on the compatibility prediction model , respectively predict the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B; construct the objective function and constraint conditions based on the material performance data, cost-effectiveness, transition layer connection strength, first compatibility matrix and second compatibility matrix of the refractory clay component, take the transition layer design parameters and the addition amount of high-temperature sintering aid as optimization variables, and solve the optimal transition layer design parameters and the addition amount of high-temperature sintering aid; based on the optimal transition layer design parameters and the addition amount of high-temperature sintering aid, connect part A and part B through 3D printing technology to generate a refractory clay component, obtain the transition layer performance test results of the refractory clay component and calculate the performance deviation, construct a penalty function based on the performance deviation, and correct the objective function. When the computer program is executed by the central processing unit (CPU), the above functions defined in the method of the present application are executed.

[0178] The methods, apparatuses, and devices of the present application may be implemented in many ways. For example, the methods, apparatuses, and devices of the present application may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present application are not limited to the order specifically described above unless otherwise specified. In addition, in some embodiments, the present application may also be implemented as programs recorded in a recording medium, which include machine-readable instructions for implementing the method according to the present application. Therefore, the present application also covers recording media storing programs for executing the method according to the present application.

[0179] In addition, the parts of the above-mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.

[0180] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The automated production method of refractory components based on 3D printing technology is characterized in that: include: Collecting material property data of various refractory clay materials, and obtaining the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B; Respectively obtaining a first clay material combination and a first clay material addition amount of part A to be connected by 3D printing and a second clay material combination and a second clay material addition amount of part B, wherein the first clay material combination and the second clay material combination respectively include a type of clay material and b type of clay material; training a compatibility prediction model for predicting compatibility scores between clay materials; Prepare n groups of clay material combinations using various clay materials according to different mixing ratios, and record the amount of clay material added in each group; Obtaining a compatibility score between clay materials in each clay material combination, wherein the compatibility score is equal to 0 or 1. When the compatibility score is 0, it indicates that the clay materials are incompatible, and when the compatibility score is 1, it indicates that the clay materials are compatible; The compatibility score between the clay materials in each clay material combination is marked as the true label of the clay material combination, the material property data and the clay material addition amount of each clay material in each clay material combination are used as input data, and the corresponding compatibility score is used as output data to construct training samples; A multilayer perceptron (MLP) is used as the initial model. The multilayer perceptron has a three-layer structure, including an input layer, a hidden layer, and an output layer. The activation functions of the hidden layer and the output layer are respectively ReLU function and Sigmoid function. The output layer outputs a probability value of 1 for a compatibility score. A binary cross entropy loss function is used as the loss function for training the compatibility prediction model. The compatibility prediction model is trained using training samples. When the value of the binary cross entropy loss function converges, the training is completed and a trained compatibility prediction model is obtained. A probability threshold is preset. When the probability value of the output compatibility score of 1 is greater than the probability threshold, it means that the clay materials are compatible, otherwise they are incompatible. Selecting a transition layer material and a high-temperature sintering aid as a transition layer material combination, obtaining an addition amount of the high-temperature sintering aid and an addition amount of the transition layer material, obtaining property data of the transition layer material, and predicting a first compatibility matrix and a second compatibility matrix between the transition layer and part A and part B, respectively, based on a compatibility prediction model; Based on the material performance data of refractory clay components, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, the objective function and constraint conditions are constructed, and the transition layer design parameters and the amount of high-temperature sintering additives are used as optimization variables to solve the optimal transition layer design parameters and the amount of high-temperature sintering additives. Based on the optimal transition layer design parameters and the amount of high-temperature sintering aid added, part A and part B are connected through 3D printing technology to generate a refractory clay component. The transition layer performance test results of the refractory clay component are obtained and the performance deviation is calculated. A penalty function is constructed based on the performance deviation to correct the objective function.

2. The automated production method of refractory components based on 3D printing technology according to claim 1, characterized in that: The specific method of selecting a transition layer material and a high temperature sintering aid as a transition layer material combination, obtaining the addition amount of the high temperature sintering aid and the addition amount of the transition layer material, obtaining the property data of the transition layer material, and predicting the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B respectively based on the compatibility prediction model is as follows: According to the collected material property data of various clay materials, a transition layer material connecting part A and part B is selected, and there are c types of transition layer materials in total; Selecting a high temperature sintering aid as an additive for the transition layer material, and combining the selected c types of transition layer materials and the high temperature sintering aid as the transition layer material; Obtaining the addition amount of transition layer material X={X1, X2, ..., Xc} and the addition amount of high temperature sintering aid; The amount of transition layer material added and its material property data, the amount of the first clay material added in part A and its material property data are taken as input, and the first compatibility matrix between the transition layer and part A is predicted using the compatibility prediction model. The amount of transition layer material added and its material property data, and the amount of the second clay material added in part B and its material property data are taken as input, and the second compatibility matrix between the transition layer and part B is obtained using the compatibility prediction model.

3. The automated production method of refractory components based on 3D printing technology according to claim 2, characterized in that: The objective function and constraint conditions are constructed based on the material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and the transition layer design parameters and the amount of high-temperature sintering aid added are used as optimization variables. The specific method for solving the optimal transition layer design parameters and the amount of high-temperature sintering aid added is: Based on the material performance data f1(X) of the refractory clay component, the cost-effectiveness f2(X) and the transition layer connection strength f3(X), the first compatibility matrix and the second compatibility matrix, an objective function F(X) is constructed, and minimizing the objective function F(X) is used as the optimization goal; Refractoriness of refractory clay components , compressive strength and thermal shock parameters , build material performance data for refractory clay components The calculation formula of Cost-effectiveness of constructing refractory clay components based on the unit costs of the jth transition layer material, clay materials in parts A and B, and high-temperature sintering aids The calculation formula of Count the number of all elements equal to 1 in the first compatibility matrix and set it as the first compatibility , count the number of elements in the second compatibility matrix that are equal to 1 and set it as the second compatibility , construct compatibility constraints, transition layer thickness constraints, and material addition constraints to obtain the constraint conditions of the objective function; The transition layer design parameters and the addition amount of high-temperature sintering aid are used as optimization variables. The transition layer design parameters include transition layer thickness and transition layer material addition amount. A genetic algorithm is selected to optimize the objective function to obtain the optimal transition layer design parameters and high-temperature sintering aid addition amount.

4. The automated production method of refractory components based on 3D printing technology according to claim 3, characterized in that: The specific method of constructing the compatibility constraint, the transition layer thickness constraint, and the material addition constraint is: A compatibility threshold ε is preset, and a compatibility constraint is constructed based on the absolute value of the difference between the first compatibility, the second compatibility and the compatibility reference value; Respectively obtain a first thickness hA and a second thickness hB of the connection end between the part A and the part B and the transition layer, and establish a transition layer thickness constraint based on the first thickness and the second thickness; Set the maximum amount of transition layer material added and minimum value , the maximum value of high temperature sintering aid addition amount s and minimum value , build material addition constraints.

5. The automated production method of refractory components based on 3D printing technology according to claim 4, characterized in that: The specific method of obtaining the performance test results of the transition layer of the refractory clay component and calculating the performance deviation, constructing a penalty function based on the performance deviation, and correcting the objective function is as follows: Performing performance tests on the 3D printed refractory clay components to obtain transition layer performance test results, wherein the transition layer performance test results include material performance, cost performance, and connection strength performance; The material performance, cost performance and connection strength performance are respectively calculated by difference with the material performance data, cost benefit and transition layer connection strength to obtain the performance deviation, which includes the material performance deviation , cost-effectiveness bias and connection strength deviation ; Based on material performance deviation , cost-effectiveness bias and connection strength deviation , construct the penalty function , correct the objective function to obtain a corrected objective function, and use the corrected objective function to replace the original objective function.

6. A refractory component automated production system based on 3D printing technology, which is implemented based on the refractory component automated production method based on 3D printing technology as described in any one of claims 1 to 5, characterized in that: include: A material data collection module, used to collect material property data of various refractory clay materials, and obtain the addition amount of the first clay material of the part A to be connected and the addition amount of the second clay material of the part B; A compatibility model training module, used for training a compatibility prediction model for predicting compatibility scores between clay materials; A compatibility matrix prediction module is used to select a transition layer material and a high-temperature sintering aid as a transition layer material combination, obtain the addition amount of the high-temperature sintering aid and the addition amount of the transition layer material, obtain the property data of the transition layer material, and predict the first compatibility matrix and the second compatibility matrix between the transition layer and part A and part B respectively based on the compatibility prediction model; The optimization variable solving module is used to construct the objective function and constraint conditions based on the material performance data of the refractory clay component, cost-effectiveness, transition layer connection strength, the first compatibility matrix and the second compatibility matrix, and to solve the optimal transition layer design parameters and high-temperature sintering additive addition amount by taking the transition layer design parameters and high-temperature sintering additive addition amount as optimization variables; The objective function correction module is used to connect part A and part B to generate a refractory clay component through 3D printing technology based on the optimal transition layer design parameters and the addition amount of high-temperature sintering aids, obtain the transition layer performance test results of the refractory clay component and calculate the performance deviation, construct a penalty function based on the performance deviation, and correct the objective function.

7. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the method for automated production of refractory components based on 3D printing technology as described in any one of claims 1 to 5 are implemented.

8. A readable storage medium, characterized in that: The readable storage medium stores a computer program, which is suitable for being loaded by a processor to execute the steps in the automated production method of refractory components based on 3D printing technology as described in any one of claims 1 to 5.

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