High-precision control method and system for 3D printing of ceramic mass analyzer electrode

Abstract

The invention provides a high-precision control method and system for 3D printing of a ceramic mass analyzer electrode. The method comprises the following steps: constructing a 3D printing model of a mass analyzer electrode, blending a 3D printing process and a novel precursor conversion ceramic formula, preparing ceramic slurry according to the novel precursor conversion ceramic formula to obtain photocuring ceramic slurry, testing through a UV-LED photocuring testing system, and fitting through a BL formula to obtain photosensitive parameters. Performing 3D printing on the 3D printing model according to the photosensitive parameters to obtain an initial ceramic electrode, and performing air stripping, degreasing and sintering treatment to obtain an accurate ceramic electrode; according to the invention, by selecting the LCD photocuring molding technology, improving the ceramic formula, determining the optimal photosensitive parameter and accurately implementing post-treatment including air stripping, degreasing and sintering, high-precision control of the 3D printing ceramic mass analyzer electrode is realized.

Description

Technical Field

[0001] This application relates to the technical field of 3D printing ceramics, and more specifically, to a high-precision control method and system for 3D printing of electrodes of a ceramic material quality analyzer. Background Art

[0002] Ceramic 3D printing has important application values in many fields. However, in the prior art, ceramic 3D printing faces many problems. For example, different printing technologies have their own defects, and it is difficult to achieve high-precision control in terms of material formulas, process parameters, etc., thus affecting the quality and performance of printed ceramic products and unable to meet the requirements of application scenarios with strict precision and performance requirements such as quality analyzers and electrodes. There is an urgent need for a method that can achieve high-precision control over the model construction, printing, and post-processing of ceramic 3D printing.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the Invention

[0004] The purpose of this application is to provide a high-precision control method and system for 3D printing of electrodes of a ceramic material quality analyzer, which can achieve high-precision control of 3D printing of electrodes of a ceramic material quality analyzer by selecting LCD stereolithography technology, improving the ceramic formula, determining the optimal photosensitive parameters, and precisely implementing post-processing including blow-off, debinding, and sintering.

[0005] This application also provides a high-precision control method for 3D printing of electrodes of a ceramic material quality analyzer, including the following steps:

[0006] Construct a 3D printing model of the quality analyzer electrode;

[0007] Obtain a 3D printing process and a new precursor conversion ceramic formula, and configure a ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry;

[0008] Test the photocurable ceramic slurry through a UV-LED photocuring test system and perform fitting through the BL formula to obtain photosensitive parameters;

[0009] Perform 3D printing on the 3D printing model according to the photosensitive parameters to obtain an initial ceramic electrode;

[0010] Perform blow-off, debinding, and sintering treatments on the initial ceramic electrode to obtain a precise ceramic electrode.

[0011] Optionally, in the high-precision control method for 3D printing of electrodes of a ceramic material quality analyzer described in this application, the step of obtaining a 3D printing process and a new precursor conversion ceramic formula, and configuring a ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry includes:

[0012] Obtain a 3D printing process and a new precursor conversion ceramic formulation;

[0013] The 3D printing process is the LCD stereolithography technology;

[0014] The new precursor conversion ceramic formulation includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, a powder, and an additive;

[0015] Configure a ceramic slurry according to the crosslinking agent, the active diluent, the dispersant, the inactive diluent, the photoinitiator, the powder, and the additive in a preset ratio to obtain a photocurable ceramic slurry.

[0016] Optionally, in the method for high-precision control of 3D printing of the ceramic material mass analyzer electrode described in this application, the photocurable ceramic slurry is tested by a UV-LED photocuring test system and fitted by the BL formula to obtain photosensitive parameters, including:

[0017] Test the exposure time of the photocurable ceramic slurry by a UV-LED photocuring test system to obtain the corresponding curing depth;

[0018] Perform fitting processing on the exposure time and the curing depth by the BL formula to obtain photosensitive parameters, including the transmission depth and the critical exposure intensity.

[0019] Optionally, in the method for high-precision control of 3D printing of the ceramic material mass analyzer electrode described in this application, the initial ceramic electrode is subjected to blowing, degreasing, and sintering treatments to obtain an accurate ceramic electrode, including:

[0020] Blow the initial ceramic electrode with nitrogen to obtain a blown ceramic electrode;

[0021] Subject the blown ceramic electrode to low-temperature nitrogen degreasing and high-temperature nitrogen degreasing treatments to obtain a degreased ceramic electrode;

[0022] Sinter the degreased ceramic electrode at a preset sintering temperature to obtain an accurate ceramic electrode.

[0023] Optionally, in the method for high-precision control of 3D printing of the ceramic material mass analyzer electrode described in this application, it further includes:

[0024] Optimize the 3D printing model of the mass analyzer electrode by using a porous solid lattice structure;

[0025] The porous solid lattice structure includes lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, and lattice arrangement;

[0026] The 3D printing model is subjected to electric field uniformity simulation analysis through a preset simulation analysis software to obtain electric field non-uniform position data, and the lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, or lattice arrangement mode is adjusted.

[0027] Optionally, in the high-precision control method for 3D printing of the ceramic material quality analyzer electrode described in the present application, it further includes:

[0028] Obtain the addition amount of the non-reactive component and the residual porosity of the corresponding ceramic product;

[0029] Compare the residual porosity with a preset residual rate threshold;

[0030] If the residual porosity is less than or equal to the preset residual rate threshold, doping is performed according to the addition amount;

[0031] If the residual porosity is greater than the preset residual rate threshold, increase the addition amount of the non-reactive component according to a preset step ratio, and obtain the real-time residual porosity of the corresponding ceramic product for threshold comparison until the real-time residual porosity is less than or equal to the preset residual rate threshold.

[0032] Optionally, in the high-precision control method for 3D printing of the ceramic material quality analyzer electrode described in the present application, it further includes:

[0033] Obtain ceramic raw material characteristic data, production process data, and product performance requirement data;

[0034] Process the ceramic raw material characteristic data, production process data, and product performance requirement data through a preset particle size grading method to obtain a particle size grading ratio;

[0035] Prepare a slurry according to the particle size grading ratio, and obtain the density, flexural strength, and shrinkage rate of the ceramic product;

[0036] Process according to the density, flexural strength, and shrinkage rate to obtain a grading performance evaluation index;

[0037] Compare the grading performance evaluation index with a preset grading performance requirement index;

[0038] If the grading performance evaluation index is greater than or equal to the preset grading performance requirement index, it is determined that the particle size grading ratio meets the requirements, otherwise it is determined that the particle size grading ratio does not meet the requirements.

[0039] In a second aspect, the present application provides a high-precision control system for 3D printing of ceramic material mass analyzer electrodes, the system comprising: a memory and a processor, wherein the memory includes a program of a high-precision control method for 3D printing of ceramic material mass analyzer electrodes, and when the program of the high-precision control method for 3D printing of ceramic material mass analyzer electrodes is executed by the processor, the following steps are implemented:

[0040] Construct a 3D printing model of the mass analyzer electrode;

[0041] Obtain a 3D printing process and a new precursor conversion ceramic formula, and configure a ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry;

[0042] Test the photocurable ceramic slurry through a UV-LED photocuring test system and perform fitting through the BL formula to obtain photosensitive parameters;

[0043] Perform 3D printing on the 3D printing model according to the photosensitive parameters to obtain an initial ceramic electrode;

[0044] Perform blowing, degreasing and sintering treatments on the initial ceramic electrode to obtain an accurate ceramic electrode.

[0045] Optionally, in the high-precision control system for 3D printing of ceramic material mass analyzer electrodes of the present application, the obtaining of the 3D printing process and the new precursor conversion ceramic formula, and the configuration of the ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry includes:

[0046] Obtain a 3D printing process and a new precursor conversion ceramic formula;

[0047] The 3D printing process is an LCD photocuring forming technology;

[0048] The new precursor conversion ceramic formula includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, powder and an additive;

[0049] Configure a ceramic slurry according to the crosslinking agent, the active diluent, the dispersant, the inactive diluent, the photoinitiator, the powder and the additive according to a preset ratio to obtain a photocurable ceramic slurry.

[0050] Optionally, in the high-precision control system for 3D printing of ceramic material mass analyzer electrodes of the present application, the testing of the photocurable ceramic slurry through a UV-LED photocuring test system and the performance of fitting through the BL formula to obtain photosensitive parameters includes:

[0051] Test the exposure time of the photocurable ceramic slurry through a UV-LED photocuring test system to obtain the corresponding curing depth;

[0052] Fitting processing is performed according to the exposure time and the curing depth through the BL formula to obtain photosensitive parameters, including the transmission depth and the critical exposure intensity.

[0053] As can be seen from the above, the high-precision control method and system for 3D printing the electrode of the ceramic material mass analyzer provided by the present application realize the high-precision control of 3D printing the electrode of the ceramic material mass analyzer by selecting the LCD light curing forming technology, improving the ceramic formula, determining the optimal photosensitive parameters, and precisely implementing the post-treatment including blowing, degreasing, and sintering.

[0054] Other features and advantages of the present application will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written specification and the drawings. Description of the Drawings

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation of the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0056] Figure 1 It is a flowchart of the high-precision control method for 3D printing the electrode of the ceramic material mass analyzer provided by the embodiment of the present application;

[0057] Figure 2 It is a flowchart of obtaining the photosensitive parameters of the high-precision control method for 3D printing the electrode of the ceramic material mass analyzer provided by the embodiment of the present application;

[0058] Figure 3 It is a flowchart of obtaining the precise ceramic electrode of the high-precision control method for 3D printing the electrode of the ceramic material mass analyzer provided by the embodiment of the present application. Detailed Embodiments

[0059] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application.

[0060] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0061] Please refer to Figure 1 , Figure 1 is a flowchart of a high-precision control method for 3D printing of the electrode of a ceramic material quality analyzer in some embodiments of the present application. The high-precision control method for 3D printing of the electrode of a ceramic material quality analyzer is used in a terminal device, such as a computer, a mobile phone terminal, etc. The high-precision control method for 3D printing of the electrode of a ceramic material quality analyzer includes the following steps:

[0062] S11. Construct a 3D printing model of the quality analyzer electrode;

[0063] S12. Obtain the 3D printing process and the new precursor conversion ceramic formula, and configure the ceramic slurry according to the new precursor conversion ceramic formula to obtain the photocurable ceramic slurry;

[0064] S13. Test the photocurable ceramic slurry through a UV-LED photocuring test system, and perform fitting through the BL formula to obtain the photosensitive parameters;

[0065] S14. Perform 3D printing on the 3D printing model according to the photosensitive parameters to obtain an initial ceramic electrode;

[0066] S15. Perform blowing, degreasing, and sintering treatments on the initial ceramic electrode to obtain an accurate ceramic electrode.

[0067] It should be noted that a 3D printing model of the mass analyzer electrode with a porous solid lattice structure is constructed based on the existing commercial structure model and historical experience parameters. The ceramic slurry is configured according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry. The BL formula, that is, the Beer-Lambert formula, is fitted through a UV-LED photocuring test system to obtain the corresponding relationship between the transmission depth and the critical exposure intensity, control the most important photosensitive parameters, and perform 3D printing based on the LCD photocuring forming technology to obtain an initial ceramic electrode. Finally, stripping, debinding, and sintering treatments are carried out to obtain an accurate ceramic electrode.

[0068] According to an embodiment of the present invention, the obtaining of the 3D printing process and the new precursor conversion ceramic formula, and the configuration of the ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry includes:

[0069] Obtaining the 3D printing process and the new precursor conversion ceramic formula;

[0070] The 3D printing process is the LCD photocuring forming technology;

[0071] The new precursor conversion ceramic formula includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, powder, and an auxiliary agent;

[0072] According to the crosslinking agent, the active diluent, the dispersant, the inactive diluent, the photoinitiator, the powder, and the auxiliary agent, the ceramic slurry is configured in a preset ratio to obtain a photocurable ceramic slurry.

[0073] It should be noted that 3D printing technology has gradually formed various technical categories, such as stereolithography (SLA / DLP), fused deposition modeling (FDM), selective laser sintering / melting (SLS / SLM), laminated object manufacturing (LOM), three-dimensional printing (3DP), and direct ink printing (DIP). These technologies use various means such as photocuring, hot melting, laser, and inkjet to achieve the formation of complex structures of raw materials such as suspensions, powders, and wires. Among them, stereolithography (SLA / DLP) has advantages such as higher resolution, high forming accuracy, and fast printing speed compared to other 3D printing technologies. It is widely used in high-end manufacturing and can be used to prepare high-precision products. Among the two, digital light processing technology (DLP) adopts two forming methods, bottom-up or top-down. The mask-based surface exposure DLP technology transfers the shape of the layered model to the surface of the forming slurry through a specific light source (usually with a wavelength of 385 - 455 nm) to achieve the curing of the entire layer of ceramic slurry. Compared with SLA technology, the printing time of DLP technology is significantly shortened and the speed is faster. In this embodiment, LCD stereolithography technology is used, that is, liquid crystal display stereolithography technology. LCD printing is divided into traditional water-based ceramic particle formulations and new precursor conversion ceramic formulations. The former has various disadvantages, while the new formulation has made improvements to a certain extent. The new precursor conversion ceramic formulation includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, a powder, and an additive. Among them, the crosslinking agent is polyethylene glycol diacrylate, the active diluent is 1,6-hexanediol diacrylate, the dispersant is one or more of BYK-104 and KH-560, the inactive diluent is polyethylene glycol-400, the photoinitiator is diphenyl-(2,4,6-trimethylbenzoyl)phosphine oxide, the powder is 1μm zirconia-stabilized alumina powder, and the additives include an antifoaming agent, a leveling agent, and a sintering aid. In this embodiment, the antifoaming agent is J0401, the leveling agent is OT-05, and the sintering aid is MgO. Finally, the ceramic slurry is configured according to a preset ratio to obtain a photocurable ceramic slurry, where the preset ratio is obtained by querying a preset 3D printing high-precision control platform.

[0074] Please refer to Figure 2 , Figure 2 is a flowchart for obtaining photosensitive parameters of the high-precision control method for 3D printing of the electrode of the ceramic material quality analyzer in some embodiments of the present application. According to an embodiment of the present invention, testing the photocurable ceramic slurry through a UV-LED photocuring test system and fitting through the BL formula to obtain photosensitive parameters includes:

[0075] S21. Test the exposure time of the photocurable ceramic slurry through a UV-LED photocuring test system to obtain the corresponding curing depth;

[0076] S22. Perform fitting processing through the BL formula based on the exposure time and the curing depth to obtain photosensitive parameters, including the transmission depth and the critical exposure intensity.

[0077] It should be noted that when using a UV-LED light curing test system to test the resin with different exposure times and record the corresponding curing depths, these data reflect the change of the resin curing degree with depth under different exposure times; during the light curing process, the curing depth is closely related to the light intensity. When the light intensity decreases to a certain extent, the resin cannot continue to cure, and the corresponding depth at this time is the curing depth. After fitting the Beer-Lambert formula with the curing depth - exposure time data to obtain the best curve, two photosensitive parameters, the transmission depth and the critical exposure intensity, can be deduced from the curve.

[0078] Please refer to Figure 3 , Figure 3 is a flowchart for obtaining an accurate ceramic electrode of a ceramic material quality analyzer electrode 3D printing high-precision control method in some embodiments of the present application. According to an embodiment of the present invention, the step of subjecting the initial ceramic electrode to blowing, degreasing, and sintering treatments to obtain an accurate ceramic electrode includes:

[0079] S31. Perform blowing treatment on the initial ceramic electrode with nitrogen to obtain a blown ceramic electrode;

[0080] S32. Perform nitrogen degreasing treatment on the blown ceramic electrode to obtain a degreased ceramic electrode;

[0081] S33. Sinter the degreased ceramic electrode at a preset sintering temperature to obtain an accurate ceramic electrode.

[0082] It should be noted that when the 3D-printed Al2O3 ceramic green body is naturally dried, obvious deformation will occur due to the anisotropy of the water evaporation rate. Compared with natural drying, using nitrogen for blowing can make the water extraction rate and shrinkage rate more uniform; for the Al2O3 ceramic sample degreased by air, due to the high pyrolysis rate of organic compounds, a large number of defects will be shown. Compared with air degreasing, the Al2O3 ceramic crystal phase obtained by degreasing with nitrogen or argon is more stable. In this embodiment, nitrogen degreasing is adopted, effectively reducing the defects caused by the degreasing of the ceramic green body and avoiding crack formation during the sintering process, thereby improving the quality and performance of the ceramic. Among them, the specific temperature is set by those skilled in the art according to requirements; the physical and chemical properties of the monolithic ceramic structure will change at different sintering temperatures. The compressive strength of the monolithic ceramic structure is maintained at 17 - 19 MPa, and its mechanical properties are mainly provided by the support frame. Therefore, increasing the sintering temperature of the monolithic ceramic structure helps to improve its compressive strength and is accompanied by a reduction in surface pores. The preset sintering temperature is set by those skilled in the art according to requirements.

[0083] According to an embodiment of the present invention, it further includes:

[0084] A 3D printing model for optimizing the electrode of a mass analyzer by using a porous solid lattice structure;

[0085] The porous solid lattice structure includes lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, and lattice arrangement pattern;

[0086] Perform an electric field uniformity simulation analysis on the 3D printing model through a preset simulation analysis software, obtain electric field non-uniform position data, and adjust the lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, or lattice arrangement pattern.

[0087] It should be noted that for the lattice structure formed by the periodic and regular arrangement of rods, its through internal space provides the possibility for the integrated multi-functionalization of thermal control (heat insulation / heat transfer), wave absorption, energy storage, and damping. At the same time, this kind of structure belongs to a tension-dominated structure. When a compressive load or a tensile load is applied, the load-bearing capacity of the rods can be fully exerted. The porous solid lattice structure has stronger internal structure support compared to the porous hollow lattice structure. In this embodiment, the 3D printing model of the mass analyzer electrode is trial-printed using the porous solid lattice structure. After the energy storage and damping are constructed, an electric field uniformity simulation analysis is performed on the 3D printing model through a preset simulation analysis software, such as the COMSOL Multiphysics analysis software. Through the simulation results, the uniformity of the electric field can be intuitively understood, and the lattice structure can be optimized and adjusted accordingly. For example, if it is found during the simulation that the electric field is non-uniform in some regions, the parameters of the lattice structure can be adjusted, such as changing the unit cell shape data, to make the electric field distribution more uniform. After multiple simulations and optimizations, the electric field uniformity can reach the best state, meeting the requirements of the mass analyzer for ion separation accuracy.

[0088] According to an embodiment of the present invention, it further includes:

[0089] Obtain the addition amount of non-reactive components and the residual porosity of the pre-sintered ceramic product prepared from the corresponding ceramic slurry;

[0090] Compare the residual porosity with a preset residual rate threshold;

[0091] If the residual porosity is less than or equal to the preset residual rate threshold, doping is performed according to the addition amount;

[0092] If the residual porosity is greater than the preset residual rate threshold, increase the addition amount of non-reactive components according to a preset step ratio, and obtain the real-time residual porosity of the corresponding ceramic product for threshold comparison until the real-time residual porosity is less than or equal to the preset residual rate threshold.

[0093] It should be noted that introducing non-reactive components into the Al2O3 ceramic raw materials is an effective means to improve the mechanical properties of Al2O3 ceramics. The principle is mainly that the introduced components react with Al2O3 to form new phases. For example, when SiO2 is added to the Al2O3 ceramic slurry, as the silicon content increases, the content of Al6Si2O 13 increases while the overall open porosity decreases, and the flexural strength of the ceramic increases significantly from 13.3 MPa to 46.3 MPa. Adding non-reactive components to the photocurable resin reduces the polymerization shrinkage rate and changes the thermal decomposition of the polymer matrix, which results in a reduction in delamination and intra-layer cracks. Using non-reactive components that decompose rather than evaporate results in ceramic products with less residual porosity, which has a good effect on the mechanical properties of Al2O3 ceramics; after adding non-reactive components, obtain the residual porosity of the corresponding ceramic product, and determine whether the addition amount meets the requirements through threshold comparison. If the residual porosity is less than or equal to the preset residual rate threshold, it means it meets the requirements, and doping is carried out according to the addition amount; if the residual porosity is greater than the preset residual rate threshold, it means the addition amount is insufficient, then increase the addition amount of the non-reactive component according to the preset step ratio, and obtain the real-time residual porosity of the corresponding ceramic product again for threshold comparison until the real-time residual porosity is less than or equal to the preset residual rate threshold. Among them, the preset step ratio is obtained by querying the preset 3D printing high-precision control platform, and the preset residual rate threshold is set by those skilled in the art according to requirements.

[0094] According to an embodiment of the present invention, it further includes:

[0095] Obtain ceramic raw material characteristic data, production process data, and product performance requirement data;

[0096] Process the ceramic raw material characteristic data, production process data, and product performance requirement data through a preset particle size distribution method to obtain a particle size distribution ratio;

[0097] Prepare a slurry according to the particle size distribution ratio, and obtain the density, flexural strength, and shrinkage rate of the ceramic product;

[0098] Process according to the density, flexural strength, and shrinkage rate to obtain a grading performance evaluation index;

[0099] Compare the grading performance evaluation index with a preset grading performance requirement index;

[0100] If the grading performance evaluation index is greater than or equal to the preset grading performance requirement index, it is determined that the particle size distribution ratio meets the requirements, otherwise it is determined that the particle size distribution ratio does not meet the requirements.

[0101] It should be noted that in 3D printing production, a reasonable particle gradation needs to be determined according to the raw material characteristics, process conditions, and product performance. A reasonable particle gradation of the material is beneficial to both forming and sintering of the green body, and can also obtain products with a higher density. By processing the ceramic raw material characteristic data, production process data, and product performance requirement data through a preset particle gradation method, a particle gradation ratio is obtained. Among them, the preset particle gradation method is obtained by querying a preset 3D printing high-precision control platform. After processing, the density, flexural strength, and shrinkage rate of the ceramic product are obtained, and further processed to obtain a gradation performance evaluation index;

[0102] The calculation formula of the gradation performance evaluation index is as follows:

[0103]

[0104] Where p jp is the gradation performance evaluation index, d e , b s , s h are the density, flexural strength, and shrinkage rate respectively, and χ1, χ2, and λ are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset 3D printing high-precision control platform);

[0105] Compare the obtained gradation performance evaluation index with the preset gradation performance requirement index. If it is greater than the preset gradation performance requirement index, it means that the particle gradation ratio meets the requirements; otherwise, it does not meet the requirements and needs to be further adjusted.

[0106] It is worth mentioning that according to the embodiments of the present invention, it further includes:

[0107] Obtain the performance test data of the precise ceramic electrode, including electrical performance test data, electrochemical activity evaluation data, and actual size measurement data;

[0108] The electrical performance test data includes the resistance value and capacitance value. By comparing the capacitance value with the preset capacitance design value, the capacitance deviation rate is obtained;

[0109] Process the resistance value, capacitance deviation rate, electrochemical activity evaluation data, and actual size measurement data in combination with the preset design size data to obtain the performance evaluation index of the precise ceramic electrode;

[0110] Compare the performance evaluation index with the preset electrode performance evaluation threshold to obtain the qualified state of 3D printing;

[0111] If the performance evaluation index is less than the preset electrode performance evaluation threshold, it is determined that the qualified state of 3D printing is unqualified;

[0112] If the performance evaluation index is greater than or equal to the preset electrode performance evaluation threshold, it is determined that the 3D printing qualified state is qualified.

[0113] It should be noted that after 3D printing and post-processing are completed, it is necessary to evaluate the performance of the obtained precise ceramic electrode. By processing the resistance value, capacitance deviation rate, electrochemically active evaluation data, and dimensional accuracy data, the performance evaluation index of the precise ceramic electrode is obtained. Among them, the capacitance deviation rate refers to the ratio of the absolute value of the difference between the capacitance value and the preset capacitance design value to the preset capacitance design value. The electrochemically active evaluation data is obtained by those skilled in the art through cyclic voltammetry or ac impedance spectroscopy analysis;

[0114] The calculation formula of the performance evaluation index is:

[0115]

[0116] where p x is the performance evaluation index, r d , r p , e q , s e , s z are the resistance value, capacitance deviation rate, electrochemically active evaluation data, measured dimensional data, and preset design dimensional data respectively. κ, η, μ are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset 3D printing high-precision control platform);

[0117] Then, a threshold comparison is made with the preset electrode performance evaluation threshold to obtain the 3D printing qualified state. In this embodiment, the preset electrode performance evaluation threshold is set to (0, 0.75), [0.75, 1], corresponding to unqualified and qualified respectively. For example, if the obtained performance evaluation index is 0.7, which is less than the preset electrode performance evaluation threshold, it is determined that the 3D printing qualified state is unqualified. If the obtained performance evaluation index is 0.8, which is greater than the preset electrode performance evaluation threshold, it is determined that the 3D printing qualified state is qualified.

[0118] It should be noted that in the actual production process, the main process is modeling - printing - obtaining a ceramic green body. While removing the support structure with an ultrasonic knife, part of the residual slurry is oscillated off. The surface residual slurry is blown clean with a nitrogen gun, and the ceramic green body is cleaned 1 - 2 times with isopropanol, absolute ethanol or similar organic solvents, and then air-dried without additional drying steps.

[0119] The present invention also discloses a high-precision control system for 3D printing of electrodes of a ceramic material quality analyzer, including a memory and a processor. The memory includes a program for the high-precision control method of 3D printing of electrodes of a ceramic material quality analyzer. When the program for the high-precision control method of 3D printing of electrodes of a ceramic material quality analyzer is executed by the processor, the following steps are implemented:

[0120] Construct a 3D printing model of the mass analyzer electrode;

[0121] Obtain the 3D printing process and the new precursor conversion ceramic formula, and configure the ceramic slurry according to the new precursor conversion ceramic formula to obtain the photocurable ceramic slurry;

[0122] Test the photocurable ceramic slurry through a UV-LED photocuring test system, and fit it through the BL formula to obtain the photosensitive parameters;

[0123] Perform 3D printing on the 3D printing model according to the photosensitive parameters to obtain the initial ceramic electrode;

[0124] Subject the initial ceramic electrode to blowing, degreasing, and sintering treatments to obtain the precise ceramic electrode.

[0125] It should be noted that a 3D printing model of the porous solid lattice structure mass analyzer electrode is constructed based on the existing commercial structure model and historical experience parameters. The ceramic slurry is configured according to the new precursor conversion ceramic formula to obtain the photocurable ceramic slurry. The BL formula is fitted through a UV-LED photocuring test system. Among them, the BL formula is the Beer-Lambert formula, and the corresponding relationship between the transmission depth and the critical exposure intensity is obtained to control the most important photosensitive parameters. 3D printing is performed based on the LCD photocuring forming technology to obtain the initial ceramic electrode, and finally, blowing, degreasing, and sintering treatments are carried out to obtain the precise ceramic electrode.

[0126] According to the embodiments of the present invention, the obtaining of the 3D printing process and the new precursor conversion ceramic formula, and the configuration of the ceramic slurry according to the new precursor conversion ceramic formula to obtain the photocurable ceramic slurry includes:

[0127] Obtain the 3D printing process and the new precursor conversion ceramic formula;

[0128] The 3D printing process is the LCD photocuring forming technology;

[0129] The new precursor conversion ceramic formula includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, powder, and an additive;

[0130] Configure the ceramic slurry according to the crosslinking agent, the active diluent, the dispersant, the inactive diluent, the photoinitiator, the powder, and the additive in a preset ratio to obtain the photocurable ceramic slurry.

[0131] It should be noted that the 3D printing technology has gradually formed various technical categories, such as stereolithography (SLA / DLP), fused deposition modeling (FDM), selective laser sintering / fusion (SLS / SLM), laminated object manufacturing (LOM), three-dimensional printing (3DP), and direct ink printing (DIP). These technologies use various means such as photocuring, hot melting, laser, and inkjet to achieve the formation of complex structures of raw materials such as suspensions, powders, and wires. Among them, the stereolithography (SLA / DLP) technology has advantages such as higher resolution, high forming accuracy, and fast printing speed compared to other 3D printing technologies. It is widely used in high-end manufacturing and can be used to prepare high-precision products. Among the two, the digital light processing technology (DLP) adopts two forming methods, bottom-up or top-down. The mask-based surface exposure DLP technology transfers the shape of the layered model to the surface of the forming slurry through a specific light source (the wavelength is generally 385-455nm) to achieve the integral curing of the ceramic slurry. Compared with the SLA technology, the printing time of the DLP technology is significantly shortened and the speed is faster. In this embodiment, the LCD stereolithography technology is adopted, that is, the liquid crystal display stereolithography technology. The LCD printing is divided into a traditional water-based ceramic particle formula and a new precursor conversion ceramic formula. The former has various disadvantages, while the new formula has made improvements to a certain extent. The new precursor conversion ceramic formula includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, a powder, and an additive. Among them, the crosslinking agent is polyethylene glycol diacrylate, the active diluent is 1,6-hexanediol diacrylate, the dispersant is one or more of BYK-104 and KH-560, the inactive diluent is polyethylene glycol-400, the photoinitiator is diphenyl-(2,4,6-trimethylbenzoyl)phosphine oxide, the powder is 1μm zirconia-stabilized alumina powder, and the additives include an antifoaming agent, a leveling agent, and a sintering aid. In this embodiment, the antifoaming agent is J0401, the leveling agent is OT-05, and the sintering aid is MgO. Finally, the ceramic slurry is configured according to a preset ratio to obtain the photocurable ceramic slurry, where the preset ratio is obtained by querying a preset 3D printing high-precision control platform.

[0132] According to an embodiment of the present invention, the photocurable ceramic slurry is tested by a UV-LED photocuring test system, and curve fitting is performed by the BL formula to obtain photosensitive parameters, including:

[0133] The exposure time test of the photocurable ceramic slurry is carried out by a UV-LED photocuring test system to obtain the corresponding curing depth;

[0134] Curve fitting processing is performed by the BL formula according to the exposure time and the curing depth to obtain photosensitive parameters, including the transmission depth and the critical exposure intensity.

[0135] It should be noted that a UV-LED light curing test system is used to test the resin for different exposure times, and the corresponding curing depths are recorded. These data reflect the change of the resin curing degree with depth under different exposure times. During the light curing process, the curing depth is closely related to the light intensity. When the light intensity decreases to a certain extent, the resin cannot continue to cure, and the corresponding depth at this time is the curing depth. After fitting the Beer-Lambert formula with the curing depth-exposure time data to obtain the best curve, two photosensitive parameters, the transmission depth and the critical exposure intensity, can be derived from the curve.

[0136] According to an embodiment of the present invention, the obtaining of the precise ceramic electrode by subjecting the initial ceramic electrode to blowing, degreasing, and sintering treatments includes:

[0137] Blowing the initial ceramic electrode with nitrogen to obtain a blown ceramic electrode;

[0138] Subjecting the blown ceramic electrode to nitrogen degreasing to obtain a degreased ceramic electrode;

[0139] Subjecting the degreased ceramic electrode to sintering treatment at a preset sintering temperature to obtain a precise ceramic electrode.

[0140] It should be noted that when the 3D-printed Al2O3 ceramic green body is naturally dried, obvious deformation will occur due to the anisotropy of the water evaporation rate. Compared with natural drying, using nitrogen for blowing can make the water extraction rate and shrinkage rate more uniform. For the Al2O3 ceramic sample degreased by air, due to the high pyrolysis rate of organic compounds, a large number of defects will be shown. Compared with air degreasing, the Al2O3 ceramic crystal phase obtained by degreasing with nitrogen or argon is more stable. In this embodiment, nitrogen degreasing is adopted, effectively reducing the defects caused by the degreasing of the ceramic green body and avoiding the formation of cracks during the sintering process, thereby improving the quality and performance of the ceramic. Among them, the specific temperature is set by those skilled in the art according to requirements. The physical and chemical properties of the monolithic ceramic structure will change at different sintering temperatures. The compressive strength of the monolithic ceramic structure is maintained at 17-19 MPa, and its mechanical properties are mainly provided by the support frame. Therefore, increasing the sintering temperature of the monolithic ceramic structure helps to improve its compressive strength and is accompanied by a reduction in surface pores. The preset sintering temperature is set by those skilled in the art according to requirements.

[0141] According to an embodiment of the present invention, it further includes:

[0142] Optimizing the 3D printing model of the mass analyzer electrode by using a porous solid lattice structure;

[0143] The porous solid lattice structure includes lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, and lattice arrangement pattern;

[0144] The 3D printing model is subjected to electric field uniformity simulation analysis through a preset simulation analysis software to obtain electric field non-uniform position data, and the lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length or lattice arrangement mode are adjusted.

[0145] It should be noted that the lattice structure formed by the periodic and regular arrangement of rods provides the possibility for the integrated multifunctionalization of heat control (heat insulation / heat transfer), wave absorption, energy storage and damping in its penetrated internal space. At the same time, this kind of structure belongs to a tensile-dominated structure. When a compressive load or a tensile load is applied, the load-bearing capacity of the rods can be fully exerted. The porous solid lattice structure has stronger internal structure support compared with the porous hollow lattice structure. In this embodiment, the 3D printing model of the mass analyzer electrode is trial-printed using the porous solid lattice structure. After the energy storage and damping are constructed, the 3D printing model is subjected to electric field uniformity simulation analysis through a preset simulation analysis software, such as the COMSOL Multiphysics analysis software. Through the simulation results, the uniformity of the electric field can be intuitively understood, and the lattice structure can be optimized and adjusted accordingly. For example, if it is found during the simulation that the electric field is uneven in some areas, the parameters of the lattice structure can be adjusted, such as changing the unit cell shape data, to make the electric field distribution more uniform. After multiple simulations and optimizations, the electric field uniformity can reach the best state, meeting the requirements of the mass analyzer for the ion separation accuracy.

[0146] According to an embodiment of the present invention, it further includes:

[0147] Obtain the addition amount of the non-reactive component and the residual porosity of the pre-sintered ceramic product prepared from the corresponding ceramic slurry;

[0148] Compare the residual porosity with a preset residual rate threshold;

[0149] If the residual porosity is less than or equal to the preset residual rate threshold, doping is performed according to the addition amount;

[0150] If the residual porosity is greater than the preset residual rate threshold, increase the addition amount of the non-reactive component according to a preset step ratio, and obtain the real-time residual porosity of the corresponding ceramic product for threshold comparison until the real-time residual porosity is less than or equal to the preset residual rate threshold.

[0151] It should be noted that introducing non-reactive components into the Al2O3 ceramic raw material is an effective means to improve the mechanical properties of Al2O3 ceramics. The principle is mainly that the introduced components react with Al2O3 to form new phases. For example, when SiO2 is added to the Al2O3 ceramic slurry, as the silicon content increases, Al6Si2O 13While the content increases, the overall porosity decreases, and the flexural strength of the ceramic increases significantly from 13.3 MPa to 46.3 MPa. Adding non-reactive components to the photocurable resin reduces the polymerization shrinkage rate and changes the thermal decomposition of the polymer matrix, which results in a reduction in delamination and cracks within the layer. Using non-reactive components that decompose rather than evaporate results in ceramic products with less residual porosity, which has a better effect on the mechanical properties of Al2O3 ceramics; obtain the residual porosity of the corresponding ceramic product after adding non-reactive components, and determine whether the addition amount meets the requirements through threshold comparison. If the residual porosity is less than or equal to the preset residual rate threshold, it indicates compliance, and doping shall be carried out according to the addition amount; if the residual porosity is greater than the preset residual rate threshold, it indicates that the addition amount is insufficient, then increase the addition amount of the non-reactive component according to the preset step ratio, and obtain the real-time residual porosity of the corresponding ceramic product again for threshold comparison until the real-time residual porosity is less than or equal to the preset residual rate threshold. Among them, the preset step ratio is obtained by querying the preset 3D printing high-precision control platform, and the preset residual rate threshold is set by those skilled in the art according to requirements.

[0152] According to an embodiment of the present invention, it further includes:

[0153] Obtain ceramic raw material characteristic data, production process data, and product performance requirement data;

[0154] Process the ceramic raw material characteristic data, production process data, and product performance requirement data through a preset particle size distribution method to obtain a particle size distribution ratio;

[0155] Prepare a slurry according to the particle size distribution ratio, and obtain the density, flexural strength, and shrinkage rate of the ceramic product;

[0156] Process according to the density, flexural strength, and shrinkage rate to obtain a grading performance evaluation index;

[0157] Compare the grading performance evaluation index with a preset grading performance requirement index;

[0158] If the grading performance evaluation index is greater than or equal to the preset grading performance requirement index, it is determined that the particle size distribution ratio meets the requirements, otherwise it is determined that the particle size distribution ratio does not meet the requirements.

[0159] It should be noted that in 3D printing production, a reasonable particle gradation needs to be determined according to the raw material characteristics, process conditions and product performance. A reasonable particle gradation of the material is beneficial to both forming and sintering of the green body, and can also obtain products with higher density. By processing the ceramic raw material characteristic data, production process data and product performance requirement data through a preset particle gradation method, a particle gradation ratio is obtained. Among them, the preset particle gradation method is obtained by querying through a preset 3D printing high-precision control platform. After processing, the density, flexural strength and shrinkage rate of the ceramic product are obtained, and further processed to obtain a gradation performance evaluation index;

[0160] The calculation formula of the gradation performance evaluation index is as follows:

[0161]

[0162] Where p jp is the gradation performance evaluation index, d e , b s , s h are the density, flexural strength and shrinkage rate respectively, and χ1, χ2, λ are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset 3D printing high-precision control platform);

[0163] Compare the obtained gradation performance evaluation index with the preset gradation performance requirement index. If it is greater than the preset gradation performance requirement index, it means that the particle gradation ratio meets the requirements. Otherwise, it does not meet the requirements and needs to be further adjusted.

[0164] It is worth mentioning that according to the embodiments of the present invention, it further includes:

[0165] Obtain the performance test data of the precise ceramic electrode, including electrical performance test data, electrochemical activity evaluation data and actual size measurement data;

[0166] The electrical performance test data includes the resistance value and capacitance value. By comparing the capacitance value with the preset capacitance design value, the capacitance deviation rate is obtained;

[0167] According to the resistance value, capacitance deviation rate, electrochemical activity evaluation data and actual size measurement data, combined with the preset design size data, the performance evaluation index of the precise ceramic electrode is obtained;

[0168] Compare the performance evaluation index with the preset electrode performance evaluation threshold to obtain the qualified state of 3D printing;

[0169] If the performance evaluation index is less than the preset electrode performance evaluation threshold, it is determined that the qualified state of 3D printing is unqualified;

[0170] If the performance evaluation index is greater than or equal to the preset electrode performance evaluation threshold, it is determined that the 3D printing qualified state is qualified.

[0171] It should be noted that after 3D printing and post-processing are completed, the performance of the obtained precise ceramic electrode needs to be evaluated. By processing the resistance value, capacitance deviation rate, electrochemically active evaluation data, and dimensional accuracy data, the performance evaluation index of the precise ceramic electrode is obtained. Among them, the capacitance deviation rate is the ratio of the absolute value of the difference between the capacitance value and the preset capacitance design value to the preset capacitance design value. The electrochemically active evaluation data is obtained by those skilled in the art through cyclic voltammetry or AC impedance spectroscopy analysis;

[0172] The formula for calculating the performance evaluation index is:

[0173]

[0174] where p x is the performance evaluation index, r d and r p and e q and s e and s z are the resistance value, capacitance deviation rate, electrochemically active evaluation data, measured dimensional data, and preset design dimensional data respectively. κ, η, and μ are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset 3D printing high-precision control platform);

[0175] Then, a threshold comparison is made with the preset electrode performance evaluation threshold to obtain the 3D printing qualified state. In this embodiment, the preset electrode performance evaluation threshold is set to (0, 0.75) and [0.75, 1], corresponding to unqualified and qualified respectively. For example, if the obtained performance evaluation index is 0.7, which is less than the preset electrode performance evaluation threshold, it is determined that the 3D printing qualified state is unqualified. If the obtained performance evaluation index is 0.8, which is greater than the preset electrode performance evaluation threshold, it is determined that the 3D printing qualified state is qualified.

[0176] The high-precision control method and system for 3D printing the electrode of the ceramic material quality analyzer disclosed by the present invention realizes the high-precision control of 3D printing the electrode of the ceramic material quality analyzer by selecting the LCD stereolithography technology, improving the ceramic formula, determining the optimal photosensitive parameters, and precisely implementing the post-processing including blowing, degreasing, and sintering.

[0177] In several embodiments provided by this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the displayed or discussed components to each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0178] The units described above as separate components may or may not be physically separated. The components displayed as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0179] In addition, each functional unit in each embodiment of the present invention can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in one unit; the above-mentioned integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0180] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other various media that can store program codes.

[0181] Alternatively, if the above-mentioned integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention essentially or the part that contributes to the prior art can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. And the foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks or optical disks and other various media that can store program codes.

Claims

1. A high-precision control method for 3D printing of electrodes of a ceramic material quality analyzer, characterized in that, It includes the following steps: Construct a 3D printing model of the quality analyzer electrode; Obtain the 3D printing process and the new precursor conversion ceramic formula, and configure the ceramic slurry according to the new precursor conversion ceramic formula to obtain the photocurable ceramic slurry; Test the photocurable ceramic slurry through a UV-LED photocuring test system and fit it through the BL formula to obtain the photosensitive parameters; Perform 3D printing on the 3D printing model according to the photosensitive parameters to obtain the initial ceramic electrode; Perform blowing, debinding, and sintering treatments on the initial ceramic electrode to obtain the precise ceramic electrode.

2. The high-precision control method for 3D printing of the electrode of the ceramic material quality analyzer according to claim 1, wherein The obtaining of the 3D printing process and the new precursor conversion ceramic formula, and the configuration of the ceramic slurry according to the new precursor conversion ceramic formula to obtain the photocurable ceramic slurry includes: Obtain the 3D printing process and the new precursor conversion ceramic formula; The 3D printing process is the LCD photocuring forming technology; The new precursor conversion ceramic formula includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, powder, and an additive; Configure the ceramic slurry according to the crosslinking agent, active diluent, dispersant, inactive diluent, photoinitiator, powder, and additive in a preset ratio to obtain the photocurable ceramic slurry.

3. The high-precision control method for 3D printing of the electrode of the ceramic material quality analyzer according to claim 2, characterized in that The testing of the photocurable ceramic slurry through a UV-LED photocuring test system and the fitting through the BL formula to obtain the photosensitive parameters includes: Test the exposure time of the photocurable ceramic slurry through a UV-LED photocuring test system to obtain the corresponding curing depth; Perform fitting processing on the exposure time and the curing depth through the BL formula to obtain the photosensitive parameters, including the transmission depth and the critical exposure intensity.

4. The high-precision control method for 3D printing the electrode of the ceramic material quality analyzer according to claim 3, characterized in that, The performing of blowing, debinding, and sintering treatments on the initial ceramic electrode to obtain the precise ceramic electrode includes: Perform blowing treatment on the initial ceramic electrode with nitrogen to obtain the blown ceramic electrode; Perform nitrogen debinding treatment on the blown ceramic electrode to obtain the debound ceramic electrode; Sinter the debound ceramic electrode at a preset sintering temperature to obtain the precise ceramic electrode.

5. The high-precision control method for 3D printing of the electrode of the ceramic material quality analyzer according to claim 4, characterized in that, It also includes: Optimize the 3D printing model of the quality analyzer electrode by using a porous solid lattice structure; The porous solid lattice structure includes lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, and lattice arrangement mode; Perform electric field uniformity simulation analysis on the 3D printing model through a preset simulation analysis software to obtain the electric field non-uniform position data, and adjust the lattice unit cell shape data, lattice unit cell size data, rod diameter, rod length, or lattice arrangement mode.

6. The high-precision control method for 3D printing of the electrode of the ceramic material quality analyzer according to claim 5, characterized in that It also includes: Obtain the addition amount of the non-reactive component and the residual porosity of the pre-sintered ceramic product prepared from the corresponding ceramic slurry; Compare the residual porosity with a preset residual rate threshold; If the residual porosity is less than or equal to the preset residual rate threshold, doping is performed according to the addition amount; If the residual porosity is greater than a preset residual rate threshold, increase the addition amount of the non-reactive component according to a preset step ratio, and obtain the real-time residual porosity of the corresponding ceramic product for threshold comparison until the real-time residual porosity is less than or equal to the preset residual rate threshold.

7. The high-precision control method for 3D printing of the electrodes of the ceramic material quality analyzer according to claim 6, wherein It further includes: Obtain ceramic raw material characteristic data, production process data, and product performance requirement data; Process the ceramic raw material characteristic data, production process data, and product performance requirement data through a preset particle size grading method to obtain a particle size grading ratio; Prepare a slurry according to the particle size grading ratio, and obtain the density, flexural strength, and shrinkage rate of the ceramic product; Process according to the density, flexural strength, and shrinkage rate to obtain a grading performance evaluation index; Compare the grading performance evaluation index with a preset grading performance requirement index; If the grading performance evaluation index is greater than or equal to the preset grading performance requirement index, it is determined that the particle size grading ratio meets the requirements, otherwise it is determined that the particle size grading ratio does not meet the requirements.

8. High-precision control system for 3D printing of electrodes of ceramic material quality analyzer, characterized in that, It includes a memory and a processor. The memory includes a program for the high-precision control method of 3D printing of the ceramic material quality analyzer electrode. When the program for the high-precision control method of 3D printing of the ceramic material quality analyzer electrode is executed by the processor, the following steps are implemented: Construct a 3D printing model of the quality analyzer electrode; Obtain a 3D printing process and a new precursor conversion ceramic formula, and configure a ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry; Test the photocurable ceramic slurry through a UV-LED photocuring test system, and perform fitting through the BL formula to obtain photosensitive parameters; Perform 3D printing on the 3D printing model according to the photosensitive parameters to obtain an initial ceramic electrode; Perform blowing, degreasing, and sintering treatments on the initial ceramic electrode to obtain an accurate ceramic electrode.

9. The high-precision control system for 3D printing of the electrode of the ceramic material quality analyzer according to claim 8, wherein The step of obtaining a 3D printing process and a new precursor conversion ceramic formula, and configuring a ceramic slurry according to the new precursor conversion ceramic formula to obtain a photocurable ceramic slurry includes: Obtain a 3D printing process and a new precursor conversion ceramic formula; The 3D printing process is an LCD photocuring forming technology; The new precursor conversion ceramic formula includes a crosslinking agent, an active diluent, a dispersant, an inactive diluent, a photoinitiator, powder, and an additive; Configure a ceramic slurry according to the crosslinking agent, active diluent, dispersant, inactive diluent, photoinitiator, powder, and additive in a preset ratio to obtain a photocurable ceramic slurry.

10. The high-precision control system for 3D printing of the electrodes of the ceramic material quality analyzer according to claim 9, wherein The step of testing the photocurable ceramic slurry through a UV-LED photocuring test system and performing fitting through the BL formula to obtain photosensitive parameters includes: Test the exposure time of the photocurable ceramic slurry through a UV-LED photocuring test system to obtain the corresponding curing depth; Perform fitting processing on the exposure time and the curing depth through the BL formula to obtain photosensitive parameters, including the transmission depth and the critical exposure intensity.

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