Preparation method of high-efficiency and low-cost modified micro-nano zinc oxide-based powder material

Abstract

The application relates to the technical field of micro-nano zinc oxide-based powder, and discloses a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method, which comprises the following steps: constructing a target powder preparation matrix and a three-dimensional scatter point distribution graph according to a preset distribution score formula, identifying a maximum score scatter point in the three-dimensional scatter point distribution graph, obtaining a target three-dimensional score line segment according to the maximum score scatter point, performing interpolation mapping in the target three-dimensional score line segment, obtaining a two-dimensional interpolation grid, performing airflow mill test and particle size distribution determination according to the two-dimensional interpolation grid, obtaining a refined distribution curve set, extracting a maximum refined scatter point in the refined scatter point distribution graph, identifying a target micro-powder particle size and a target frequency parameter of the maximum refined scatter point, and preparing the modified micro-nano zinc oxide-based powder material according to the target micro-powder particle size and the target frequency parameter. The main purpose of the application is to solve the problems of poor preparation effect and high preparation cost of the current nano zinc oxide preparation method.

Description

TECHNICAL FIELD

[0001] The application relates to a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method and belongs to the technical field of micro-nano zinc oxide-based powder. BACKGROUND

[0002] Nanometer zinc oxide is widely used in wall brick glaze, floor tile full polishing glaze, antique glaze, bathroom glaze, daily-use porcelain glaze and craft tableware and the like. In ceramic wall and floor tile glaze and low-temperature porcelain glaze, nanometer zinc oxide is used in a large amount, and has a significant fluxing effect and glaze carrier effect. The addition of nanometer zinc oxide in ceramics can increase the hardness, brightness and color of the ceramics, and can also balance the glaze and simplify the production process.

[0003] At present, there are two types of nanometer zinc oxide preparation methods. One type is prepared by a dry method or a wet method. The nanometer zinc oxide prepared by this type of method has a large surface energy, is prone to cause ceramic liquid slurry thixotropy, cannot be glazed or has glazing defects, and also causes pores, bubbles and surface dullness on the ceramic and glaze due to the presence of harmful impurities and acidic and alkaline substances. The other type is prepared by calcining heavy zinc oxide, and is prepared by calcining zinc oxide raw zinc again. The nanometer zinc oxide prepared by this type of method has a low surface energy, solves the problems of ceramic liquid slurry thixotropy and the like, and has the defects of large particle size and easy precipitation, and is prone to cause problems such as unstable structure, obvious boundary and rough glaze in the ceramic. Both types of nanometer zinc oxide preparation methods have the problems of complex process and poor performance of the prepared nanometer zinc oxide. Therefore, the current nanometer zinc oxide preparation method has the problems of poor preparation effect and high preparation cost. SUMMARY

[0004] The application provides a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method, device and computer readable storage medium, and mainly aims to solve the problems of poor preparation effect and high preparation cost of the current nanometer zinc oxide preparation method.

[0005] To achieve the above-mentioned purpose, the application provides a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method, which comprises the following steps:

[0006] The micro-powder particle size sequence is set according to the preset micro-powder particle size interval and micro-powder particle size gradient, the airflow mill frequency sequence is set according to the preset classification wheel frequency interval and classification wheel frequency gradient, and the initial powder preparation matrix is constructed according to the micro-powder particle size sequence and airflow mill frequency sequence;

[0007] The particle size frequency parameters are sequentially extracted in the initial powder preparation matrix, the airflow mill test is carried out according to the particle size frequency parameters, the airflow mill powder is obtained, and the particle size distribution curve set is obtained by carrying out particle size distribution determination on the airflow mill powder;

[0008] obtaining an optimal particle size interval of the zinc oxide-based powder, and cutting an optimal distribution curve segment set from the particle size distribution curve set according to the optimal particle size interval;

[0009] calculating a particle size distribution score of each optimal distribution curve segment in the optimal distribution curve segment set according to a preset distribution score formula, to obtain a particle size distribution score set, wherein the distribution score formula is as follows:

[0010]

[0011] wherein, represents the particle size distribution score of the i-th optimal distribution curve segment in the optimal distribution curve segment set, and J represents the number of sampling points of the optimal distribution curve segment in the optimal particle size interval, represents the volume fraction of the j-1-th sampling point in the i-th optimal distribution curve segment, represents the volume fraction of the j-th sampling point in the i-th optimal distribution curve segment, and d represents the sampling point interval;

[0012] filling the particle size distribution score set into the initial powder preparation matrix to obtain a target powder preparation matrix;

[0013] drawing a three-dimensional scatter point distribution graph according to the target powder preparation matrix, identifying a maximum score scatter point in the three-dimensional scatter point distribution graph, and extracting a target adjacent scatter point set from the three-dimensional scatter point distribution graph according to the maximum score scatter point;

[0014] extracting a target adjacent scatter point from the target adjacent scatter point set in sequence, connecting the target adjacent scatter point and the maximum score scatter point, and obtaining a target three-dimensional score line segment;

[0015] performing interpolation mapping in the target three-dimensional score line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set, and constructing a two-dimensional interpolation grid according to the two-dimensional interpolation point set;

[0016] extracting a two-dimensional interpolation grid point from the two-dimensional interpolation grid in sequence, performing an airflow mill test according to the two-dimensional interpolation grid point, and performing particle size distribution determination, to obtain a refined distribution curve set;

[0017] drawing a refined scatter point distribution graph according to the optimal particle size interval and the refined distribution curve set, extracting a maximum refined scatter point from the refined scatter point distribution graph, and identifying a target micro-powder particle size and a target frequency parameter of the maximum refined scatter point;

[0018] preparing a modified micro-nano zinc oxide-based powder material by using a preset zinc oxide preparation process according to the target micro-powder particle size and the target frequency parameter.

[0019] Optionally, the constructing an initial powder preparation matrix according to the micro-powder particle size sequence and the airflow mill frequency sequence comprises:

[0020] According to the matrix horizontal factor sequence and the matrix vertical factor sequence, an initial powder preparation matrix is constructed.

[0021] According to the matrix horizontal factor sequence and the matrix vertical factor sequence, an initial powder preparation matrix is constructed.

[0022] Optionally, the particle size distribution of the airflow mill powder is measured to obtain a particle size distribution curve set, including:

[0023] An airflow mill particle size sequence is obtained, and an airflow mill particle size is sequentially extracted in the airflow mill particle size sequence, and the volume fraction of the airflow mill particle size is measured;

[0024] According to the airflow mill particle size and the volume fraction, a particle size fraction scatter point set is obtained in a pre-constructed particle size fraction two-dimensional coordinate system;

[0025] The particle size fraction scatter point set is fitted to obtain a particle size distribution curve, and the particle size distribution curves of various particle size frequency parameters are summarized to obtain a particle size distribution curve set.

[0026] Optionally, the optimal particle size interval of the zinc oxide-based powder is obtained, including:

[0027] A particle size value interval is obtained, a termination domain value is sequentially selected in the particle size value interval according to a pre-set termination control step, a termination value interval is intercepted in the particle size value interval according to the termination domain value, a starting domain value is sequentially selected in the termination value interval according to a pre-set starting control step, and a starting domain value sequence is obtained;

[0028] According to the starting domain value sequence and the termination domain value, a particle size interval set of the termination value interval is constructed to obtain multiple groups of particle size interval sets;

[0029] A particle size interval is sequentially extracted in the multiple groups of particle size interval sets, and a zinc oxide-based powder material is prepared according to the particle size interval;

[0030] The performance evaluation value set of the zinc oxide-based powder material is obtained by evaluating the performance of the zinc oxide-based powder material for ceramic glaze;

[0031] The optimal performance evaluation value is extracted in the performance evaluation value set, and the optimal particle size interval corresponding to the optimal performance evaluation value is identified.

[0032] Optionally, the three-dimensional scatter point distribution diagram is drawn according to the target powder preparation matrix, including:

[0033] A three-dimensional scatter point coordinate system is obtained, wherein the x-axis of the three-dimensional scatter point coordinate system represents the particle size of the micro-powder, the y-axis represents the frequency of the classification wheel, and the z-axis represents the particle size distribution score;

[0034] extracting a particle size distribution score in sequence in the target powder preparation matrix, and identifying an identified micro-powder particle size and an identified classification wheel frequency corresponding to the particle size distribution score;

[0035] According to the identified micro-powder particle size, the identified classification wheel frequency and the particle size distribution score, a three-dimensional scatter plot is drawn, and a three-dimensional scatter plot is obtained.

[0036] Optionally, the target adjacent scatter point set is extracted according to the maximum score scatter point in the three-dimensional scatter plot, comprising:

[0037] The score two-dimensional coordinates of the maximum score scatter point are identified, and the transverse left adjacent coordinates, the transverse right adjacent coordinates, the vertical upper adjacent coordinates and the vertical lower adjacent coordinates corresponding to the score two-dimensional coordinates are identified in the three-dimensional scatter coordinate system;

[0038] According to the transverse left adjacent coordinates, the transverse right adjacent coordinates, the vertical upper adjacent coordinates and the vertical lower adjacent coordinates, the transverse left adjacent scatter point, the transverse right adjacent scatter point, the vertical upper adjacent scatter point and the vertical lower adjacent scatter point are extracted in the three-dimensional scatter plot, and a target adjacent scatter point set is obtained.

[0039] Optionally, the two-dimensional interpolation point set is obtained by performing interpolation mapping in the target three-dimensional score line segment according to the preset interpolation refinement number, comprising:

[0040] According to the target adjacent scatter point and the maximum score scatter point, the projection area of the target three-dimensional score line segment is calculated by using a pre-constructed area formula, wherein the area formula is as follows:

[0041]

[0042] wherein s represents the projection area, represents the particle size distribution score of the transverse left adjacent scatter point, represents the particle size distribution score of the transverse right adjacent scatter point, and l1 represents the micro-powder particle size gradient, represents the particle size distribution score of the vertical upper adjacent scatter point, represents the particle size distribution score of the vertical lower adjacent scatter point, and l2 represents the classification wheel frequency gradient;

[0043] According to the interpolation refinement number and the projection area, the interpolation area is calculated by using the following formula:

[0044]

[0045] wherein, represents the interpolation area, and n represents the interpolation refinement number;

[0046] According to the interpolation area, an interpolation point set is selected on the target three-dimensional grading line segment, wherein a projection area of a three-dimensional grading line segment formed by adjacent interpolation points in the interpolation point set is the interpolation area;

[0047] The interpolation point set is projected and mapped to obtain a two-dimensional interpolation point set.

[0048] Optionally, the constructing a two-dimensional interpolation grid according to the two-dimensional interpolation point set comprises:

[0049] In the two-dimensional interpolation point set, two-dimensional interpolation points are extracted in sequence, and parallel lines of the x-axis and the y-axis are drawn through the two-dimensional interpolation points to obtain a plurality of groups of cross-intersecting lines;

[0050] The plurality of groups of cross-intersecting lines are grid-interlaced to obtain a two-dimensional interpolation grid.

[0051] Optionally, the drawing a refined scatter point distribution map according to the best particle size interval and the refined distribution curve set comprises:

[0052] According to the best particle size interval, a refined distribution curve segment set is intercepted from the refined distribution curve set;

[0053] The refined distribution curve segment set is updated by using the refined distribution curve segment set, the particle size distribution score of each best distribution curve segment in the best distribution curve segment set is calculated according to the distribution score formula, and a refined distribution score set is obtained;

[0054] In the two-dimensional interpolation grid, interpolation grid intersection points are extracted in sequence, and the refined fine powder particle size and the refined classification wheel frequency corresponding to the interpolation grid intersection points are identified;

[0055] In the refined distribution score set, the refined distribution score corresponding to the interpolation grid intersection points is extracted, and the refined fine powder particle size, the refined classification wheel frequency and the refined distribution score are used to draw points in the three-dimensional scatter point coordinate system to obtain a refined scatter point distribution map.

[0056] Optionally, the preparing a modified micro-nano zinc oxide-based powder material according to the target fine powder particle size and the target frequency parameter by using a preset zinc oxide preparation process comprises:

[0057] Heavy zinc oxide particles are obtained, and the heavy zinc oxide particles are micronized according to the target fine powder particle size to obtain micronized zinc oxide particles, wherein the target fine powder particle size is the average particle size of the micronized zinc oxide particles;

[0058] The micronized zinc oxide particles are subjected to high-pressure jet milling according to the target frequency parameter to obtain jet-milled zinc oxide particles, wherein the target frequency parameter is the classification wheel frequency of the high-pressure jet mill;

[0059] The modified micro-nano zinc oxide sub-material is obtained by air separation of the airflow mill zinc oxide particles with a preset optimal air separation particle size.

[0060] To solve the above problems, the application further provides an electronic device, which comprises:

[0061] at least one processor; and,

[0062] a memory in communication with the at least one processor; wherein,

[0063] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned efficient and low-cost modified micro-nano zinc oxide-based powder material preparation method.

[0064] To solve the above problems, the application further provides a computer readable storage medium, which stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned efficient and low-cost modified micro-nano zinc oxide-based powder material preparation method.

[0065] Compared with the problems described in the background art, the application is to prepare modified micro-nano zinc oxide-based powder material by optimizing the target micro-powder particle size and the target frequency parameter. In obtaining the target micro-powder particle size and the target frequency parameter, first, the micro-powder particle size sequence is set according to the preset micro-powder particle size interval and the micro-powder particle size gradient, the airflow mill frequency sequence is set according to the preset classification wheel frequency interval and the classification wheel frequency gradient, and then the initial powder preparation matrix is constructed according to the micro-powder particle size sequence and the airflow mill frequency sequence. In order to determine the particle size distribution curve of the airflow mill powder under different particle size frequency parameters, the particle size frequency parameters need to be extracted in the initial powder preparation matrix in turn, and then the airflow mill test is carried out according to the particle size frequency parameters to obtain the airflow mill powder. At this time, the particle size distribution of the airflow mill powder is determined to obtain the particle size distribution curve set. In order to score the particle size distribution curve, the best particle size interval of the zinc oxide-based powder needs to be obtained, and then the best distribution curve segment set is intercepted from the particle size distribution curve set according to the best particle size interval. At this time, the particle size distribution score of each best distribution curve segment in the best distribution curve segment set can be calculated according to the preset distribution score formula to obtain the particle size distribution score set. Since the initial powder preparation matrix reflects the correlation between the particle size frequency parameters, the particle size distribution score set can be filled into the initial powder preparation matrix to obtain the target powder preparation matrix. Since the particle size frequency parameter corresponding to the maximum score scatter point is the best particle size frequency parameter in the initial powder preparation matrix, in order to further optimize the particle size frequency parameter, the three-dimensional scatter distribution graph can be drawn according to the target powder preparation matrix, and the maximum score scatter point can be identified in the three-dimensional scatter distribution graph. In order to determine the optimization range of the particle size frequency parameter, the target adjacent scatter point set needs to be extracted from the three-dimensional scatter distribution graph according to the maximum score scatter point. At this time, the target adjacent scatter point can be extracted in the target adjacent scatter point set in turn, and the target three-dimensional score line segment can be obtained by connecting the target adjacent scatter point and the maximum score scatter point. Then, the two-dimensional interpolation point set can be obtained by interpolation mapping in the target three-dimensional score line segment according to the preset interpolation refinement number. The two-dimensional interpolation grid can be constructed according to the two-dimensional interpolation point set. At this time, the optimization range of the particle size frequency parameter is grid processed, which is convenient for subsequent second particle size distribution determination. After obtaining the two-dimensional interpolation grid, only the two-dimensional interpolation grid point needs to be extracted in the two-dimensional interpolation grid in turn, and the airflow mill test and the particle size distribution determination are carried out according to the two-dimensional interpolation grid point to obtain the refined distribution curve set. In the same way, the refined scatter distribution graph can be drawn according to the best particle size interval and the refined distribution curve set, the maximum refined scatter point can be extracted in the refined scatter distribution graph, and the target micro-powder particle size and the target frequency parameter of the maximum refined scatter point are identified to obtain the final optimized particle size frequency parameter. Finally, the modified micro-nano zinc oxide-based powder material can be prepared by using the preset zinc oxide preparation process according to the target micro-powder particle size and the target frequency parameter.Therefore, the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method, device, electronic equipment and computer readable storage medium provided by the present application mainly aim to solve the problems of poor preparation effect and high preparation cost in the current preparation method of nano zinc oxide. BRIEF DESCRIPTION OF DRAWINGS

[0066] Figure 1 A flowchart of the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method provided by an embodiment of the present application is shown in FIG.

[0067] Figure 2 A structural diagram of the electronic equipment for implementing the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method provided by an embodiment of the present application is shown in FIG.

[0068] The object implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0069] It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0070] The embodiment of the present application provides a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method. The execution subject of the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method includes but is not limited to at least one of electronic equipment capable of being configured to execute the method provided by the embodiment of the present application, such as a server and a terminal. In other words, the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0071] Embodiment 1

[0072] Referring to Figure 1 A flowchart of the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method provided by an embodiment of the present application is shown in FIG. In the embodiment, the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method includes:

[0073] S1, according to the preset micro-powder particle size interval and the micro-powder particle size gradient, the micro-powder particle size sequence is set, according to the preset classification wheel frequency interval and the classification wheel frequency gradient, the airflow mill frequency sequence is set, and the initial powder preparation matrix is constructed according to the micro-powder particle size sequence and the airflow mill frequency sequence.

[0074] The micro-powder particle size interval refers to a preset particle size interval of the heavy modified zinc oxide particles during micro-powdering by a micro-powder machine, the micro-powder particle size gradient refers to a preset micro-powder particle size variation gradient, and the micro-powder particle size sequence refers to a sequence composed of a plurality of micro-powder particle sizes extracted from the micro-powder particle size interval according to the micro-powder particle size gradient. The classification wheel frequency interval refers to a value interval of the classification wheel frequency of the jet mill, the classification wheel frequency gradient refers to a value variation gradient of the jet mill, the jet mill frequency sequence refers to a plurality of value sequences of the classification wheel frequency extracted from the classification wheel frequency interval according to the classification wheel frequency gradient, and the initial powder preparation matrix refers to a two-dimensional table matrix constructed according to the micro-powder particle size sequence and the jet mill frequency sequence.

[0075] For example, the micro-powder particle size interval can be 40-60 μm, the micro-powder particle size gradient can be 2 μm, and the micro-powder particle size sequence is 40 μm, 42 μm, 44 μm,..., and 60 μm. The classification wheel frequency interval can be 80-200 Hz, the classification wheel frequency gradient can be 20 Hz, and the jet mill frequency sequence is 80 Hz, 100 Hz,..., and 200 Hz. At this time, the matrix horizontal factor sequence of the initial powder preparation matrix is 40 μm, 42 μm, 44 μm,..., and 60 μm, and the matrix vertical factor sequence of the initial powder preparation matrix is 80 Hz, 100 Hz,..., and 200 Hz.

[0076] In the embodiment of the application, the initial powder preparation matrix is constructed according to the micro-powder particle size sequence and the jet mill frequency sequence, including:

[0077] The matrix horizontal factor sequence and the matrix vertical factor sequence are respectively constructed according to the micro-powder particle size sequence and the jet mill frequency sequence.

[0078] The initial powder preparation matrix is constructed according to the matrix horizontal factor sequence and the matrix vertical factor sequence.

[0079] S2, a particle size frequency parameter is extracted from the initial powder preparation matrix in sequence, a jet mill test is performed according to the particle size frequency parameter, a jet mill powder is obtained, and a particle size distribution curve set is obtained by performing particle size distribution measurement on the jet mill powder.

[0080] Further, the particle size frequency parameter refers to a parameter composed of the particle size of the fine powder and the frequency of the air flow mill in the initial powder preparation matrix. For example, when the particle size of the fine powder is 60 μm and the frequency of the classification wheel is 80 Hz, the particle size frequency parameter is 60 μm, 80 Hz. The air flow mill test refers to a process of performing fine powdering of the fine powder machine and air flow milling according to the particle size of the fine powder and the frequency of the classification wheel, respectively, while keeping other variables (except the particle size of the fine powder and the frequency of the classification wheel) in the air flow mill powder preparation process consistent. The air flow milled powder refers to the micro-nano zinc oxide particles after the air flow mill test according to the particle size frequency parameter. The particle size distribution measurement refers to a process of measuring the volume fraction corresponding to each preset particle size of the particles in the air flow milled powder. The particle size distribution curve set refers to a curve set taking the particle size as the dependent variable and the volume fraction as the independent variable, and describing the corresponding relationship between the particle size and the volume fraction in the air flow milled powder.

[0081] In the embodiment of the present application, the particle size distribution measurement of the air flow milled powder to obtain the particle size distribution curve set comprises:

[0082] Obtaining an air flow milled particle size sequence, sequentially extracting an air flow milled particle size in the air flow milled particle size sequence, and measuring the volume fraction of the air flow milled particle size;

[0083] According to the air flow milled particle size and the volume fraction, a dot is drawn in a pre-constructed particle size fraction two-dimensional coordinate system to obtain a particle size fraction scatter point set;

[0084] Fitting the particle size fraction scatter point set to obtain a particle size distribution curve, and collecting the particle size distribution curves of each particle size frequency parameter to obtain a particle size distribution curve set.

[0085] The air flow milled particle size sequence refers to a preset particle size sequence of the particles of the air flow milled powder, which can be 2 μm, 4 μm, 6 μm, …, 80 μm. The volume fraction refers to the volume fraction of the zinc oxide particles of each air flow milled particle size in the air flow milled powder. The horizontal coordinate of the particle size fraction two-dimensional coordinate system represents the air flow milled particle size, and the vertical coordinate represents the volume fraction. Since different particle size frequency parameters correspond to different air flow milled powders, different particle size frequency parameters correspond to different particle size distribution curves.

[0086] S3, obtaining the best particle size interval of the zinc oxide-based powder, and according to the best particle size interval, intercepting a best distribution curve segment set from the particle size distribution curve set.

[0087] It can be understood that the optimal particle size interval refers to an optimal particle size interval of the airflow mill powder, for example, the optimal particle size interval can be 5-7 mu m. The optimal distribution curve segment set refers to a curve segment set corresponding to the optimal particle size interval in the particle size distribution curve set. The optimal particle size interval can be set by the user according to the excellent degree of the prepared modified micro-nano zinc oxide-based powder material in improving the properties of the ceramic, for example, the optimal particle size interval can be evaluated according to the excellent degree of the properties such as slip performance, fluxing effect, color development performance and glaze effect. When the multiple particle size intervals are 2-5 mu m, 5-7 mu m, 7-10 mu m, 10-13 mu m and 13-16 mu m, and when the particle size interval of the airflow mill powder is 5-7 mu m, the properties such as slip performance, fluxing effect, color development performance and glaze effect are the best. At this time, the optimal particle size interval is 5-7 mu m.

[0088] In the embodiment of the present application, the optimal particle size interval of the zinc oxide-based powder is obtained by:

[0089] The particle size value interval is obtained, the termination domain value is selected in the particle size value interval according to the preset termination control step, the termination value interval is intercepted in the particle size value interval according to the termination domain value, the starting domain value is selected in the termination value interval according to the preset starting control step, and the starting domain value sequence is obtained.

[0090] The particle size interval set of the termination value interval is constructed according to the starting domain value sequence and the termination domain value, and multiple particle size interval sets are obtained.

[0091] The particle size interval is extracted in the multiple particle size interval sets, and the zinc oxide-based powder material is prepared according to the particle size interval.

[0092] The performance evaluation value set of the zinc oxide-based powder material is obtained by evaluating the performance of the ceramic glaze.

[0093] The optimal performance evaluation value is extracted in the performance evaluation value set, and the optimal particle size interval corresponding to the optimal performance evaluation value is identified.

[0094] The particle size value interval refers to a preset value interval for selecting the optimal particle size interval, the termination control step refers to a step for selecting a termination point in the particle size value interval, the termination domain value refers to a particle size value of the termination point selected in the particle size value interval, the termination value interval refers to a particle size interval less than or equal to the termination domain value in the particle size value interval, the starting control step refers to a step for selecting a starting point in the termination value interval, the starting domain value refers to a particle size value of the starting point selected in the termination value interval according to the starting control step, the starting domain value sequence refers to a sequence composed of the particle size values of the starting points, and the particle size interval set refers to a particle size interval set constructed by the starting domain value of each starting point in the starting domain value sequence and the termination domain value. The ceramic glaze performance evaluation refers to an evaluation of the zinc oxide-based powder material according to the preset glaze performance, fluxing effect, color development performance, and glaze effect evaluation indicators.

[0095] For example, the particle size value interval can be 2-50 μm, the termination control step can be 5 μm, at this time, the termination domain value is 7 μm, 12 μm, 17 μm, 22 μm, etc., the termination value interval is 2-7 μm, 2-12 μm, 2-17 μm, etc., the starting control step can be 3 μm, at this time, the starting domain value can be 2 μm, 5 μm, 8 μm, 11 μm, etc., and the particle size interval set can be 2-7 μm, 5-7 μm, 2-12 μm, 5-12 μm, 8-12 μm, 11-12 μm, 2-17 μm, etc.

[0096] S4. Calculate the particle size distribution score of each best distribution segment in the best distribution segment set according to a preset distribution score formula, to obtain a particle size distribution score set.

[0097] Further, the distribution score formula is as follows:

[0098]

[0099] wherein, represents the particle size distribution score of the i-th best distribution segment in the best distribution segment set, J represents the number of sampling points of the best distribution segment in the best particle size interval, represents the volume fraction of the j-1-th sampling point in the i-th best distribution segment, represents the volume fraction of the j-th sampling point in the i-th best distribution segment, and d represents the sampling point interval.

[0100] It can be understood that the larger the projection area of the optimal distribution curve segment on the x-axis (the area surrounded by the optimal distribution curve segment, the x-axis and the two straight lines intersecting the endpoints of the optimal distribution curve), the larger the particle size distribution score of the optimal distribution curve segment, the larger the volume fraction of the particles belonging to the particle size corresponding to the optimal distribution curve segment, and the better the final performance evaluation of the ceramic glaze, so the larger the particle size distribution score, the more excellent the particle size of the airflow mill powder corresponding to the optimal distribution curve segment.

[0101] S5, fill the particle size distribution score set to the initial powder preparation matrix to obtain a target powder preparation matrix.

[0102] Further, the target powder preparation matrix refers to the matrix obtained by filling each particle size distribution score in the particle size distribution score set to the initial powder preparation matrix according to its corresponding relationship with the particle size frequency parameter.

[0103] S6, draw a three-dimensional scatter plot according to the target powder preparation matrix, identify a maximum score scatter point in the three-dimensional scatter plot, and extract a target adjacent scatter point set according to the maximum score scatter point in the three-dimensional scatter plot.

[0104] It can be understood that the three-dimensional scatter plot refers to the scatter plot obtained by drawing points in the pre-constructed three-dimensional scatter coordinate system according to the target powder preparation matrix. The maximum score scatter point refers to the scatter point corresponding to the maximum particle size distribution score, and the target adjacent scatter point set refers to the four scatter points around the maximum score scatter point in the x-axis and y-axis directions.

[0105] In the embodiment of the application, the three-dimensional scatter plot is drawn according to the target powder preparation matrix, comprising:

[0106] obtaining a three-dimensional scatter coordinate system, wherein the x-axis of the three-dimensional scatter coordinate system represents the particle size of the micro-powder, the y-axis represents the classification wheel frequency, and the z-axis represents the particle size distribution score;

[0107] extracting the particle size distribution score in the target powder preparation matrix in sequence, identifying the identified micro-powder particle size and the identified classification wheel frequency corresponding to the particle size distribution score;

[0108] According to the identified micro-powder particle size, the identified classification wheel frequency and the particle size distribution score, draw points in the three-dimensional scatter coordinate system to obtain a three-dimensional scatter plot.

[0109] In the embodiment of the application, the target adjacent scatter point set is extracted according to the maximum score scatter point in the three-dimensional scatter plot, comprising:

[0110] identifying a score two-dimensional coordinate of the maximum score scatter point, identifying a horizontal left neighboring coordinate, a horizontal right neighboring coordinate, a vertical upper neighboring coordinate and a vertical lower neighboring coordinate corresponding to the score two-dimensional coordinate in the three-dimensional scatter coordinate system;

[0111] extracting a horizontal left neighboring scatter point, a horizontal right neighboring scatter point, a vertical upper neighboring scatter point and a vertical lower neighboring scatter point from the three-dimensional scatter distribution map according to the horizontal left neighboring coordinate, the horizontal right neighboring coordinate, the vertical upper neighboring coordinate and the vertical lower neighboring coordinate, to obtain a target neighboring scatter point set.

[0112] It can be understood that the score two-dimensional coordinate refers to the coordinates corresponding to the maximum score scatter point on the x-axis and the y-axis, and the horizontal left neighboring coordinate, the horizontal right neighboring coordinate, the vertical upper neighboring coordinate and the vertical lower neighboring coordinate respectively refer to the coordinate on the left side of the score two-dimensional coordinate in the x-axis direction, the coordinate on the right side of the score two-dimensional coordinate in the x-axis direction, the coordinate on the left side of the score two-dimensional coordinate in the y-axis direction, and the coordinate on the right side of the score two-dimensional coordinate in the y-axis direction. The horizontal left neighboring scatter point, the horizontal right neighboring scatter point, the vertical upper neighboring scatter point and the vertical lower neighboring scatter point respectively refer to the scatter points corresponding to the horizontal left neighboring coordinate, the horizontal right neighboring coordinate, the vertical upper neighboring coordinate and the vertical lower neighboring coordinate in the three-dimensional scatter distribution map.

[0113] S7, extracting a target neighboring scatter point from the target neighboring scatter point set in sequence, connecting the target neighboring scatter point and the maximum score scatter point to obtain a target three-dimensional score line segment.

[0114] S8, performing interpolation mapping in the target three-dimensional score line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set, and constructing a two-dimensional interpolation grid according to the two-dimensional interpolation point set.

[0115] It can be understood that the interpolation refinement number refers to the number of interpolations in the target three-dimensional score line segment, and the interpolation mapping refers to the two-dimensional point set obtained after mapping the interpolation points in the target three-dimensional score line segment to the plane where the x-axis and the y-axis are located. The two-dimensional interpolation grid refers to the grid constructed by taking the two-dimensional interpolation point set as the grid intersection point.

[0116] In the embodiment of the application, the interpolation mapping in the target three-dimensional score line segment according to the preset interpolation refinement number to obtain a two-dimensional interpolation point set comprises:

[0117] The projection area of the target three-dimensional score line segment is calculated according to the target neighboring scatter point and the maximum score scatter point by using a pre-constructed area formula, wherein the area formula is as follows:

[0118]

[0119] wherein s represents the projection area, A particle size distribution score of a transverse left adjacent scatter point, A particle size distribution score of a transverse right adjacent scatter point, and l1 represents a fine powder particle size gradient, A particle size distribution score of a longitudinal adjacent scatter point, A particle size distribution score of a longitudinal lower adjacent scatter point, and l2 represents a classification wheel frequency gradient;

[0120] According to the interpolation refinement number and the projection area, an interpolation area is calculated by using the following formula:

[0121]

[0122] Wherein, The interpolation area is represented by n, and the interpolation refinement number is represented by n;

[0123] According to the interpolation area, an interpolation point set is selected on the target three-dimensional score line segment, wherein the projection area of the three-dimensional score line segment formed by adjacent interpolation points in the interpolation point set is the interpolation area;

[0124] The interpolation point set is projected and mapped to obtain a two-dimensional interpolation point set.

[0125] Further, when the interpolation point set is selected according to the interpolation area on the target three-dimensional score line segment, the area surrounded by adjacent interpolation points (interpolation point and interpolation point, or interpolation point and target adjacent scatter point) and two adjacent projection points of adjacent interpolation points on the x and y axes is equal to the interpolation area.

[0126] In the embodiment of the application, the two-dimensional interpolation grid is constructed according to the two-dimensional interpolation point set, comprising:

[0127] In the two-dimensional interpolation point set, two-dimensional interpolation points are extracted in sequence, and parallel lines of the x and y axes are drawn through the two-dimensional interpolation points, respectively, to obtain a plurality of groups of cross-intersecting lines;

[0128] The plurality of groups of cross-intersecting lines are grid-interlaced to obtain a two-dimensional interpolation grid.

[0129] S9, two-dimensional interpolation grid points are extracted in sequence in the two-dimensional interpolation grid, airflow milling tests are performed according to the two-dimensional interpolation grid points, and particle size distribution determination is performed, to obtain a refinement distribution curve set.

[0130] S10, a refinement scatter point distribution map is drawn according to the best particle size interval and the refinement distribution curve set, a maximum refinement scatter point is extracted in the refinement scatter point distribution map, and a target fine powder particle size and a target frequency parameter of the maximum refinement scatter point are identified.

[0131] It can be understood that the drawing of the refined scatter point distribution diagram according to the best particle size interval and the refined distribution curve set is the same as the drawing of the three-dimensional scatter point distribution diagram according to the best particle size interval and the particle size distribution curve set. The refined scatter point distribution diagram refers to the scatter point distribution diagram obtained by three-dimensional point drawing according to the refined distribution score of each refined distribution curve in the refined distribution curve set on the three-dimensional scatter point coordinate system.

[0132] In the embodiment of the application, the drawing of the refined scatter point distribution diagram according to the best particle size interval and the refined distribution curve set comprises:

[0133] intercepting a refined distribution curve segment set from the refined distribution curve set according to the best particle size interval;

[0134] updating the best distribution curve segment set by using the refined distribution curve segment set, calculating the particle size distribution score of each best distribution curve segment in the best distribution curve segment set according to the distribution score formula, and obtaining a refined distribution score set;

[0135] extracting an interpolation grid intersection point in the two-dimensional interpolation grid in sequence, identifying the refined fine powder particle size and the refined grading wheel frequency corresponding to the interpolation grid intersection point;

[0136] extracting the refined distribution score corresponding to the interpolation grid intersection point in the refined distribution score set, and performing point drawing in the three-dimensional scatter point coordinate system according to the refined fine powder particle size, the refined grading wheel frequency and the refined distribution score, to obtain a refined scatter point distribution diagram.

[0137] It can be understood that the refined distribution curve segment set refers to a curve segment set belonging to the best particle size interval in each refined distribution curve. The refined distribution score set refers to a set of particle size distribution scores of each refined distribution curve segment in the refined distribution curve segment set. Since the drawing method of the refined scatter point distribution diagram and the three-dimensional scatter point distribution diagram is the same, it will not be described here.

[0138] S11, according to the target fine powder particle size and the target frequency parameter, a modified micro-nano zinc oxide-based powder material is prepared by using a preset zinc oxide preparation process.

[0139] In the embodiment of the application, the modified micro-nano zinc oxide-based powder material is prepared by using a preset zinc oxide preparation process according to the target fine powder particle size and the target frequency parameter, which comprises:

[0140] obtaining heavy zinc oxide particles, and micronizing the heavy zinc oxide particles to obtain fine powder zinc oxide particles according to the target fine powder particle size, wherein the target fine powder particle size is the average particle size of the fine powder zinc oxide particles;

[0141] The micro-powdered zinc oxide particles are subjected to high-pressure airflow milling according to the target frequency parameter, to obtain airflow-milled zinc oxide particles, wherein the target frequency parameter is the frequency of the grading wheel of the high-pressure airflow mill.

[0142] The airflow-milled zinc oxide particles are subjected to air classification using a preset optimal air classification particle size, to obtain modified micro-nano zinc oxide particles.

[0143] It can be understood that the heavy zinc oxide particles are obtained by calcining zinc raw materials at a high temperature of 800-1250 degrees to reduce the specific surface energy, modify and remove volatile impurities, thereby obtaining heavy zinc oxide particles (specific gravity 2.0-2.4, flow rate 11-12 seconds, 48 hours without thixotropy), wherein the zinc raw materials can be one or more of secondary zinc oxide, raw zinc oxide, zinc carbonate, zinc hydroxide, zinc ash and other zinc-containing compounds. The micro-powder refers to the process of grinding the heavy zinc oxide using a micro-powder machine, and the target micro-powder particle size can be 44-50 μm. The target micro-powder particle size is the micro-powder particle size interval. The specific gravity of the micro-powdered zinc oxide particles is 1.8-2.3, the flow rate is 10-12 seconds, and the particles are not thixotropic for 48 hours. The high-pressure airflow mill refers to the dispersion and impact of the high-pressure airflow of the high-pressure airflow mill on the micro-powdered zinc oxide particles, so that the particle size is reduced to the micro-nano level (average particle size less than 7 microns). By adjusting the control particle size grading screen speed and the supporting multi-stage air classification collector, the desired modified micro-nano zinc oxide particles are air classified from the airflow-milled zinc oxide particles.

[0144] Compared with the problems described in the background art, the application is to prepare modified micro-nano zinc oxide-based powder material by optimizing the target micro-powder particle size and the target frequency parameter. In obtaining the target micro-powder particle size and the target frequency parameter, first, the micro-powder particle size sequence is set according to the preset micro-powder particle size interval and the micro-powder particle size gradient, the airflow mill frequency sequence is set according to the preset classification wheel frequency interval and the classification wheel frequency gradient, and then the initial powder preparation matrix is constructed according to the micro-powder particle size sequence and the airflow mill frequency sequence. In order to determine the particle size distribution curve of the airflow mill powder under different particle size frequency parameters, the particle size frequency parameters need to be extracted in the initial powder preparation matrix in turn, and then the airflow mill test is carried out according to the particle size frequency parameters to obtain the airflow mill powder. At this time, the particle size distribution of the airflow mill powder is determined to obtain the particle size distribution curve set. In order to score the particle size distribution curve, the best particle size interval of the zinc oxide-based powder needs to be obtained, and then the best distribution curve segment set is intercepted from the particle size distribution curve set according to the best particle size interval. At this time, the particle size distribution score of each best distribution curve segment in the best distribution curve segment set can be calculated according to the preset distribution score formula to obtain the particle size distribution score set. Since the initial powder preparation matrix reflects the correlation between the particle size frequency parameters, the particle size distribution score set can be filled into the initial powder preparation matrix to obtain the target powder preparation matrix. Since the particle size frequency parameter corresponding to the maximum score scatter point is the best particle size frequency parameter in the initial powder preparation matrix, in order to further optimize the particle size frequency parameter, the three-dimensional scatter distribution graph can be drawn according to the target powder preparation matrix, and the maximum score scatter point can be identified in the three-dimensional scatter distribution graph. In order to determine the optimization range of the particle size frequency parameter, the target adjacent scatter point set needs to be extracted from the three-dimensional scatter distribution graph according to the maximum score scatter point. At this time, the target adjacent scatter point can be extracted in the target adjacent scatter point set in turn, and the target three-dimensional score line segment can be obtained by connecting the target adjacent scatter point and the maximum score scatter point. Then, the two-dimensional interpolation point set can be obtained by interpolation mapping in the target three-dimensional score line segment according to the preset interpolation refinement number. The two-dimensional interpolation grid can be constructed according to the two-dimensional interpolation point set. At this time, the optimization range of the particle size frequency parameter is grid processed, which is convenient for subsequent second particle size distribution determination. After obtaining the two-dimensional interpolation grid, only the two-dimensional interpolation grid point needs to be extracted in the two-dimensional interpolation grid in turn, and the airflow mill test and the particle size distribution determination are carried out according to the two-dimensional interpolation grid point to obtain the refined distribution curve set. In the same way, the refined scatter distribution graph can be drawn according to the best particle size interval and the refined distribution curve set, the maximum refined scatter point can be extracted in the refined scatter distribution graph, and the target micro-powder particle size and the target frequency parameter of the maximum refined scatter point are identified to obtain the final optimized particle size frequency parameter. Finally, the modified micro-nano zinc oxide-based powder material can be prepared by using the preset zinc oxide preparation process according to the target micro-powder particle size and the target frequency parameter.Therefore, the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method and device, electronic equipment and computer readable storage medium provided by the present application mainly aim to solve the problems of poor preparation effect and high preparation cost in the current preparation method of nano zinc oxide.

[0145] Embodiment 2:

[0146] As shown in Figure 2 Fig. 1 is a structural schematic diagram of an electronic equipment for implementing the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method according to an embodiment of the present application.

[0147] The electronic equipment 1 can include a processor 10, a memory 11, a bus 12 and a communication interface 13, and can further include a computer program stored in the memory 11 and executable on the processor 10, such as a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation program.

[0148] Among them, the memory 11 at least includes one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card type memory (such as SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 can be an internal storage unit of the electronic equipment 1 in some embodiments, for example, the mobile hard disk of the electronic equipment 1. The memory 11 can also be an external storage device of the electronic equipment 1 in other embodiments, for example, the plug-in mobile hard disk, smart memory card (SmartMediaCard, SMC), secure digital (Secure Digital, SD) card, flash card (FlashCard) and the like equipped on the electronic equipment 1. Further, the memory 11 can include both the internal storage unit and the external storage device of the electronic equipment 1. The memory 11 can be used not only to store application software and various data installed on the electronic equipment 1, such as the code of the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation program, but also to temporarily store data that has been output or will be output.

[0149] The processor 10 can be composed of integrated circuits in some embodiments, for example, can be composed of a single packaged integrated circuit, or can be composed of multiple packaged integrated circuits with the same function or different functions, including one or more central processing units (CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, etc. The processor 10 is the control unit of the electronic device, which connects various components of the entire electronic device through various interfaces and lines, executes programs or modules stored in the memory 11 (such as a high-efficiency low-cost modified micro-nano zinc oxide-based powder material preparation program, etc.), and calls data stored in the memory 11 to perform various functions and process data of the electronic device 1.

[0150] The bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize the connection and communication between the memory 11 and the at least one processor 10, etc.

[0151] Figure 2 Only the electronic device with components is shown, and those skilled in the art can understand that, Figure 2 The structure shown does not constitute a limitation on the electronic device 1, and can include fewer or more components than shown, or combine certain components, or different component arrangements.

[0152] For example, although not shown, the electronic device 1 can also include a power supply (such as a battery) for powering various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, so as to realize functions such as charge management, discharge management, and power consumption management through the power management device. The power supply can also include one or more direct current or alternating current power supplies, recharging devices, power supply fault detection circuits, power supply converters or inverters, power supply status indicators, etc. The electronic device 1 can also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which are not described here.

[0153] Further, the electronic device 1 can also include a network interface, which can optionally include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), and is usually used to establish a communication connection between the electronic device 1 and other electronic devices.

[0154] Optionally, the electronic device 1 can also include a user interface, which can be a display, an input unit such as a keyboard, and optionally a standard wired interface, a wireless interface. Optionally, in some embodiments, the display can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. Among them, the display can also be appropriately called a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display the visualized user interface.

[0155] It should be understood that the embodiments are only for illustration and are not limited in the scope of the patent application by the structure.

[0156] The high-efficiency low-cost modified micro-nano zinc oxide-based powder material preparation program stored in the memory 11 in the electronic device 1 is a combination of multiple instructions, which, when running in the processor 10, can achieve:

[0157] According to the preset micro-powder particle size interval and micro-powder particle size gradient, the micro-powder particle size sequence is set, according to the preset classification wheel frequency interval and classification wheel frequency gradient, the jet mill frequency sequence is set, and according to the micro-powder particle size sequence and the jet mill frequency sequence, the initial powder preparation matrix is constructed;

[0158] In the initial powder preparation matrix, the particle size frequency parameters are extracted in sequence, the jet mill test is carried out according to the particle size frequency parameters, the jet mill powder is obtained, and the particle size distribution of the jet mill powder is measured to obtain a particle size distribution curve set;

[0159] The best particle size interval of the zinc oxide-based powder is obtained, and the best distribution curve segment set is intercepted from the particle size distribution curve set according to the best particle size interval;

[0160] According to a preset distribution score formula, the particle size distribution score of each best distribution curve segment in the best distribution curve segment set is calculated to obtain a particle size distribution score set, wherein the distribution score formula is as follows:

[0161]

[0162] Wherein, The particle size distribution score of the i-th best distribution curve segment in the best distribution curve segment set is represented as J, and the sampling point number of the best distribution curve segment in the best particle size interval is represented as J. The volume fraction of the j-1-th sampling point in the i-th best distribution curve segment is represented as Fj-1. The volume fraction of the j-th sampling point in the i-th best distribution curve segment is represented as Fj, and the sampling point spacing is represented as d.

[0163] filling the particle size distribution score set to the initial powder preparation matrix to obtain a target powder preparation matrix;

[0164] drawing a three-dimensional scatter point distribution diagram according to the target powder preparation matrix, identifying a maximum score scatter point in the three-dimensional scatter point distribution diagram, and extracting a target adjacent scatter point set from the three-dimensional scatter point distribution diagram according to the maximum score scatter point;

[0165] extracting a target adjacent scatter point from the target adjacent scatter point set in sequence, connecting the target adjacent scatter point and the maximum score scatter point to obtain a target three-dimensional score line segment;

[0166] performing interpolation mapping in the target three-dimensional score line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set, and constructing a two-dimensional interpolation grid according to the two-dimensional interpolation point set;

[0167] extracting a two-dimensional interpolation grid point from the two-dimensional interpolation grid in sequence, performing airflow mill test and particle size distribution measurement according to the two-dimensional interpolation grid point to obtain a refinement distribution curve set;

[0168] drawing a refinement scatter point distribution diagram according to the best particle size interval and the refinement distribution curve set, extracting a maximum refinement scatter point in the refinement scatter point distribution diagram, and identifying a target micro-powder particle size and a target frequency parameter of the maximum refinement scatter point;

[0169] preparing a modified micro-nano zinc oxide-based powder material by using a preset zinc oxide preparation process according to the target micro-powder particle size and the target frequency parameter.

[0170] Specifically, the specific implementation method of the processor 10 to the above instructions can refer to Figures 1 to 2 The description of related steps in the corresponding embodiments will not be repeated here.

[0171] Further, the modules / units integrated in the electronic device 1 can be stored in a computer readable storage medium if they are realized in the form of software function units and sold or used as independent products. The computer readable storage medium can be volatile or non-volatile. For example, the computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory).

[0172] The application also provides a computer readable storage medium, which stores a computer program, and the computer program can realize the following when executed by a processor of an electronic device:

[0173] The micro-powder particle size sequence is set according to the preset micro-powder particle size interval and micro-powder particle size gradient, the jet mill frequency sequence is set according to the preset classification wheel frequency interval and classification wheel frequency gradient, and the initial powder preparation matrix is constructed according to the micro-powder particle size sequence and the jet mill frequency sequence;

[0174] The particle size frequency parameters are extracted in sequence in the initial powder preparation matrix, the jet mill test is performed according to the particle size frequency parameters, the jet mill powder is obtained, and the particle size distribution curve set is obtained by performing particle size distribution determination on the jet mill powder;

[0175] The best particle size interval of the zinc oxide-based powder is obtained, and the best distribution curve segment set is intercepted from the particle size distribution curve set according to the best particle size interval;

[0176] The particle size distribution score of each best distribution curve segment in the best distribution curve segment set is calculated according to a preset distribution score formula, and a particle size distribution score set is obtained, wherein the distribution score formula is as follows:

[0177]

[0178] wherein, represents the particle size distribution score of the i-th best distribution curve segment in the best distribution curve segment set, and J represents the number of sampling points of the best distribution curve segment in the best particle size interval, represents the volume fraction of the j-1-th sampling point in the i-th best distribution curve segment, represents the volume fraction of the j-th sampling point in the i-th best distribution curve segment, and d represents the sampling point interval;

[0179] The particle size distribution score set is filled into the initial powder preparation matrix to obtain a target powder preparation matrix;

[0180] A three-dimensional scatter point distribution graph is drawn according to the target powder preparation matrix, a maximum score scatter point is identified in the three-dimensional scatter point distribution graph, and a target adjacent scatter point set is extracted from the three-dimensional scatter point distribution graph according to the maximum score scatter point;

[0181] The target adjacent scatter points are extracted in sequence in the target adjacent scatter point set, and the target adjacent scatter points and the maximum score scatter point are connected to obtain a target three-dimensional score line segment;

[0182] Interpolation mapping is performed in the target three-dimensional score line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set, and a two-dimensional interpolation grid is constructed according to the two-dimensional interpolation point set;

[0183] Two-dimensional interpolation grid points are extracted in sequence in the two-dimensional interpolation grid, jet mill test is performed according to the two-dimensional interpolation grid points, and particle size distribution determination is performed to obtain a refined distribution curve set;

[0184] According to the best particle size interval and the refined distribution curve set, a refined scatter point distribution graph is drawn, a maximum refined scatter point is extracted in the refined scatter point distribution graph, and a target micro-powder particle size and a target frequency parameter of the maximum refined scatter point are identified;

[0185] According to the target micro-powder particle size and the target frequency parameter, a modified micro-nano zinc oxide-based powder material is prepared by using a preset zinc oxide preparation process.

[0186] The modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs.

[0187] In addition, each functional module in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional modules.

[0188] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0189] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A method for preparing highly efficient and low-cost modified micro / nano zinc oxide-based powder materials, characterized in that, The method includes: The micro powder particle size sequence is set according to the preset micro powder particle size range and micro powder particle size gradient, the air jet mill frequency sequence is set according to the preset classifier wheel frequency range and classifier wheel frequency gradient, and an initial powder preparation matrix is ​​constructed according to the micro powder particle size sequence and air jet mill frequency sequence. Particle size frequency parameters are extracted sequentially from the initial powder preparation matrix. An air jet milling test is conducted based on the particle size frequency parameters to obtain air jet milled powder. The particle size distribution of the air jet milled powder is measured to obtain a set of particle size distribution curves. The optimal particle size range of zinc oxide-based powder is obtained, and the optimal distribution curve segment set is extracted from the particle size distribution curve set according to the optimal particle size range. According to the preset distribution scoring formula, the particle size distribution score of each optimal distribution segment in the optimal distribution segment set is calculated to obtain the particle size distribution score set, wherein the distribution scoring formula is as follows: ， in, This represents the particle size distribution score of the i-th optimal distribution segment in the set of optimal distribution segments. This represents the number of sampling points for the optimal distribution curve segment within the optimal particle size range. This represents the volume fraction of the (j-1)th sampling point in the i-th optimal distribution segment. Let represent the volume fraction of the j-th sampling point in the i-th optimal distribution segment, and d represent the sampling point spacing; The particle size distribution score set is filled into the initial powder preparation matrix to obtain the target powder preparation matrix; A three-dimensional scatter plot is drawn based on the target powder preparation matrix. The maximum evaluation dispersion point is identified in the three-dimensional scatter plot. Based on the maximum evaluation dispersion point, the target neighboring scatter plot is extracted in the three-dimensional scatter plot. The target's nearest scattered points are extracted sequentially from the target's nearest scattered points set, and the target's nearest scattered points are connected with the maximum score scattered point to obtain the target's three-dimensional score line segment; Interpolation mapping is performed on the target three-dimensional scoring line segment according to the preset interpolation refinement number to obtain a two-dimensional interpolation point set, and a two-dimensional interpolation mesh is constructed based on the two-dimensional interpolation point set; Two-dimensional interpolation points are extracted sequentially from the two-dimensional interpolation grid. Based on the two-dimensional interpolation points, an air jet mill test is conducted and the particle size distribution is measured to obtain a refined distribution curve set. A refined scatter plot is drawn based on the optimal particle size range and the refined distribution curve set. The maximum refined scatter point is extracted from the refined scatter plot, and the target micro-powder particle size and target frequency parameter of the maximum refined scatter point are identified. Modified micro / nano zinc oxide-based powder materials are prepared using a preset zinc oxide preparation process based on the target micro powder particle size and target frequency parameters.

2. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 1, characterized in that, The step of constructing an initial powder preparation matrix based on the micronized particle size sequence and the air jet mill frequency sequence includes: Based on the micro powder particle size sequence and the air jet mill frequency sequence, construct the matrix horizontal factor sequence and the matrix vertical factor sequence respectively; An initial powder preparation matrix is ​​constructed based on the horizontal and vertical factor sequences of the matrix.

3. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 1, characterized in that, The particle size distribution measurement of the air-jet mill powder, to obtain a set of particle size distribution curves, includes: Obtain the air jet mill particle size sequence, extract the air jet mill particle size sequentially from the air jet mill particle size sequence, and determine the volume fraction of the air jet mill particle size; Based on the air jet mill particle size and the volume fraction, points are plotted in a pre-constructed two-dimensional coordinate system of particle size fraction to obtain a scatter set of particle size fraction points; By fitting the scatter plot of the particle size fraction, a particle size distribution curve is obtained. The particle size distribution curves of each particle size frequency parameter are then summarized to obtain a set of particle size distribution curves.

4. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 1, characterized in that, The optimal particle size range for obtaining zinc oxide-based powder includes: Obtain the particle size range, select the termination threshold value in the particle size range according to the preset termination control step size, cut off the termination value range in the particle size range according to the termination threshold value, and select the starting threshold value in the termination value range according to the preset starting control step size to obtain the starting threshold value sequence. Based on the starting threshold sequence and the ending threshold, a set of particle size intervals for the termination value interval is constructed to obtain multiple sets of particle size intervals; Particle size ranges are sequentially extracted from the multiple particle size ranges, and zinc oxide-based powder materials are prepared based on the particle size ranges. The zinc oxide-based powder material was subjected to a performance evaluation for ceramic glaze, and a set of performance evaluation values ​​was obtained. Extract the best performance evaluation value from the set of performance evaluation values, and identify the optimal particle size range corresponding to the best performance evaluation value.

5. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 1, characterized in that, The step of drawing a three-dimensional scatter plot based on the target powder preparation matrix includes: A three-dimensional scatter coordinate system is obtained, wherein the x-axis of the three-dimensional scatter coordinate system represents the particle size of the powder, the y-axis represents the frequency of the grading wheel, and the z-axis represents the particle size distribution score; Particle size distribution scores are extracted sequentially from the target powder preparation matrix, and the corresponding micro-particle size and identification classification wheel frequency are identified. Based on the identified micro-powder particle size, the frequency of the identification grading wheel, and the particle size distribution score, points are plotted in the three-dimensional scatter coordinate system to obtain a three-dimensional scatter distribution map.

6. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 5, characterized in that, The step of extracting the target's nearest neighbor scatter point set from the three-dimensional scatter distribution map based on the maximum score dispersion point includes: Identify the two-dimensional coordinates of the maximum score scatter point, and identify the horizontal left neighbor coordinate, horizontal right neighbor coordinate, vertical upper neighbor coordinate, and vertical lower neighbor coordinate corresponding to the two-dimensional coordinates of the score in the three-dimensional scatter point coordinate system; Based on the horizontal left neighbor coordinate, horizontal right neighbor coordinate, vertical upper neighbor coordinate, and vertical lower neighbor coordinate, extract the horizontal left neighbor scatter points, horizontal right neighbor scatter points, vertical upper neighbor scatter points, and vertical lower neighbor scatter points from the three-dimensional scatter point distribution map to obtain the target neighbor scatter point set.

7. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 6, characterized in that, The step of interpolating and mapping the target three-dimensional scoring line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set includes: The projected area of ​​the target's three-dimensional scoring line segment is calculated using a pre-constructed area formula based on the target's nearest scattered points and the maximum scoring scattered point. The projected area formula is as follows: ， in, Represents the projected area. This represents the particle size distribution score of the left nearest scatter point in the horizontal direction. This represents the particle size distribution score of the right nearest scatter point in the lateral direction. Indicates the particle size gradient of the fine powder. This represents the particle size distribution score of adjacent scatter points along the vertical direction. This represents the particle size distribution score of adjacent scatter points along the vertical direction. This represents the frequency gradient of the grading wheel; Based on the interpolation refinement number and the projected area, the interpolated area is calculated using the following formula: ， in, Indicates the interpolated area. Indicates the interpolation refinement number; The interpolation point set is selected on the target three-dimensional scoring line segment based on the interpolation area, wherein the projected area of ​​the three-dimensional scoring line segment formed by adjacent interpolation points in the interpolation point set is the interpolation area. The interpolation point set is projected and mapped to obtain a two-dimensional interpolation point set.

8. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 2, characterized in that, The step of constructing a two-dimensional interpolation grid based on the two-dimensional interpolation point set includes: Two-dimensional interpolation points are extracted sequentially from the set of two-dimensional interpolation points. Parallel lines to the x-axis and y-axis are drawn through the two-dimensional interpolation points to obtain multiple sets of cross lines. The multiple sets of intersecting cross lines are interwoven to obtain a two-dimensional interpolation mesh.

9. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 8, characterized in that, The step of plotting a refined scatter plot based on the optimal particle size range and the refined distribution curve set includes: Based on the optimal particle size range, a set of refined distribution curve segments is extracted from the refined distribution curve set; The optimal distribution segment set is updated using the refined distribution segment set, and the particle size distribution score of each optimal distribution segment in the optimal distribution segment set is calculated according to the distribution scoring formula to obtain the refined distribution score set; Intersections of the interpolation grids are extracted sequentially in the two-dimensional interpolation grid, and the refined micro-powder particle size and refined classification wheel frequency corresponding to the intersections of the interpolation grids are identified. Extract the refined distribution score corresponding to the intersection of the interpolation grid in the refined distribution score set, and plot the points in the three-dimensional scatter coordinate system according to the refined micro powder particle size, refined grading wheel frequency and refined distribution score to obtain the refined scatter distribution map.

10. The method for preparing high-efficiency, low-cost modified micro / nano zinc oxide-based powder materials as described in claim 1, characterized in that, The step of preparing modified micro / nano zinc oxide-based powder materials using a preset zinc oxide preparation process based on the target micro powder particle size and target frequency parameters includes: Obtain heavy zinc oxide particles, and then pulverize the heavy zinc oxide particles according to the target micron particle size to obtain micronized zinc oxide particles, wherein the target micron particle size is the average particle size of the micronized zinc oxide particles. The micronized zinc oxide particles are subjected to high-pressure air jet milling according to the target frequency parameter to obtain air jet milled zinc oxide particles, wherein the target frequency parameter is the classifier wheel frequency of the high-pressure air jet mill; The zinc oxide particles from the air jet mill are air-separated using a preset optimal air-separation particle size to obtain modified micro-nano zinc oxide-based powder materials.

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