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

Abstract

The invention relates to the technical field of micro-nano zinc oxide-based powder, and discloses a high-efficiency 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 distribution diagram according to a preset distribution scoring formula, identifying the maximum evaluation scatter in the three-dimensional scatter distribution diagram, and determining the distribution score of the target powder according to the maximum evaluation scatter. Obtaining a target three-dimensional scoring line segment according to the maximum scoring scatter point, carrying out interpolation mapping in the target three-dimensional scoring line segment to obtain a two-dimensional interpolation grid, carrying out jet mill test and particle size distribution determination according to the two-dimensional interpolation grid point to obtain a refined distribution curve set, extracting the maximum refined scatter point from the refined scatter point distribution diagram, and obtaining a refined distribution curve set; and identifying the target micro-powder particle size and the 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 invention mainly aims to solve the problems of poor preparation effect and high preparation cost of the current preparation method of nano zinc oxide.

Description

Technical Field

[0001] The invention relates to a method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, and belongs to the technical field of micro-nano zinc oxide-based powder. Background Art

[0002] Nano zinc oxide is widely used in the fields of wall tile glaze, floor tile full polished glaze, antique glaze, bathroom glaze, daily porcelain glaze and craft tableware. In ceramic wall and floor tile glaze and low-temperature porcelain glaze, nano zinc oxide is used in large quantities, and its fluxing effect and glaze carrier effect are significant. Adding nano zinc oxide to ceramics can increase its hardness, brightness and color, and can also balance the glazing and simplify the production process.

[0003] At present, there are two main methods for preparing nano zinc oxide. One is the pyrometallurgical preparation or wet preparation. The disadvantage of this type of nano zinc oxide is that the surface energy is too large, which can easily cause thixotropy of the ceramic slurry, resulting in the inability to glaze or glazing defects. At the same time, the presence of harmful impurities and acidic and alkaline substances will cause defects such as pores, bubbles and dull surfaces to the ceramics and glazes. The other type is prepared by calcining heavy zinc oxide, which is made by calcining zinc oxide raw zinc again. This type of nano zinc oxide has low surface energy and solves the problems of thixotropy of ceramic slurry. The disadvantage is that the particles are large in size and easy to precipitate. It is easy to produce problems such as structural instability, obvious boundaries and rough glaze inside the ceramic. Both of these types of nano zinc oxide preparation methods have complex processes and poor performance of the prepared nano zinc oxide. Therefore, the current preparation methods of nano zinc oxide have the problems of poor preparation effect and high preparation cost. Summary of the invention

[0004] The present invention provides a method, device and computer-readable storage medium for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, the main purpose of which is to solve the problems of poor preparation effect and high preparation cost in the current preparation method of nano zinc oxide.

[0005] To achieve the above object, the present invention provides a method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, comprising:

[0006] A micro powder particle size sequence is set according to a preset micro powder particle size interval and a micro powder particle size gradient, a jet mill frequency sequence is set according to a preset classifying wheel frequency interval and a classifying wheel frequency gradient, and an initial powder preparation matrix is ​​constructed according to the micro powder particle size sequence and the jet mill frequency sequence;

[0007] Extracting particle size frequency parameters in the initial powder preparation matrix in sequence, performing a jet mill test according to the particle size frequency parameters to obtain a jet mill powder, and measuring the particle size distribution of the jet mill powder to obtain a particle size distribution curve set;

[0008] Obtaining an optimal particle size range of the zinc oxide-based powder, and intercepting an optimal distribution curve segment set in the particle size distribution curve set according to the optimal particle size range;

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

[0010]

[0011] in, 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-1th sampling point in the i-th optimal distribution segment, represents the volume fraction of the jth sampling point in the i-th optimal distribution segment, and d represents the spacing between sampling points;

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

[0013] Draw a three-dimensional scatter point distribution map according to the target powder preparation matrix, identify the maximum rated scatter point in the three-dimensional scatter point distribution map, and extract a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum rated scatter point;

[0014] Extract target adjacent scatter points in sequence from the target adjacent scatter point set, connect the target adjacent scatter points and the maximum scoring scatter points, and obtain a target three-dimensional scoring line segment;

[0015] Performing interpolation mapping in the target three-dimensional scoring 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 two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, performing a jet mill test and measuring particle size distribution according to the two-dimensional interpolation points, and obtaining a set of refined distribution curves;

[0017] Draw a refined scatter point distribution diagram according to the optimal particle size interval and the refined distribution curve set, extract the maximum refined scatter point in the refined scatter point distribution diagram, and identify the target micro powder particle size and target frequency parameters of the maximum refined scatter point;

[0018] According to the target micro powder particle size and target frequency parameters, a modified micro-nano zinc oxide-based powder material is prepared using a preset zinc oxide preparation process.

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

[0020] According to the micro powder particle size sequence and the jet mill frequency sequence, a matrix horizontal factor sequence and a matrix vertical factor sequence are respectively constructed;

[0021] An initial powder preparation matrix is ​​constructed according to the matrix transverse factor sequence and the matrix longitudinal factor sequence.

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

[0023] Acquire a jet mill particle size sequence, extract jet mill particle sizes in the jet mill particle size sequence in sequence, and determine the volume fraction of the jet mill particle sizes;

[0024] According to the jet mill particle size and the volume fraction, points are plotted in a pre-constructed particle size fraction two-dimensional coordinate system to obtain a particle size fraction scattered point set;

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

[0026] Optionally, obtaining the optimal particle size range of the zinc oxide-based powder includes:

[0027] Obtaining a particle size value interval, selecting a termination domain value in the particle size value interval in sequence according to a preset termination control step, intercepting a termination value interval in the particle size value interval according to the termination domain value, and selecting a starting domain value in sequence in the termination value interval according to a preset starting control step, to obtain a starting domain value sequence;

[0028] Constructing a particle size interval set of the termination value interval according to the starting domain value sequence and the termination domain value, and obtaining multiple groups of particle size interval sets;

[0029] Extracting particle size intervals in sequence from the plurality of groups of particle size intervals, and preparing a zinc oxide-based powder material according to the particle size intervals;

[0030] Performing ceramic glaze performance evaluation on the zinc oxide-based powder material to obtain a performance evaluation value set;

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

[0032] Optionally, drawing a three-dimensional scatter distribution diagram according to the target powder preparation matrix includes:

[0033] Obtaining a three-dimensional scattered point coordinate system, wherein the x-axis of the three-dimensional scattered point coordinate system represents the particle size of the micropowder, the y-axis represents the classification wheel frequency, and the z-axis represents the particle size distribution score;

[0034] Extracting particle size distribution scores in the target powder preparation matrix in sequence, and identifying the identified micro powder particle size and the identified classification wheel frequency corresponding to the particle size distribution scores;

[0035] Points are plotted in the three-dimensional scattered point coordinate system according to the identified micro powder particle size, the identified classification wheel frequency and the particle size distribution score to obtain a three-dimensional scattered point distribution diagram.

[0036] Optionally, extracting a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum-scoring scatter point includes:

[0037] Identify the two-dimensional scoring coordinate of the maximum scoring scatter point, and identify the horizontal left adjacent coordinate, the horizontal right adjacent coordinate, the vertical upper adjacent coordinate, and the vertical lower adjacent coordinate corresponding to the two-dimensional scoring coordinate in the three-dimensional scatter point coordinate system;

[0038] According to the horizontal left adjacent coordinates, horizontal right adjacent coordinates, vertical upper adjacent coordinates and vertical lower adjacent coordinates, horizontal left adjacent scatter points, horizontal right adjacent scatter points, vertical upper adjacent scatter points and vertical lower adjacent scatter points are extracted from the three-dimensional scatter point distribution map to obtain a target adjacent scatter point set.

[0039] Optionally, performing interpolation mapping in the target three-dimensional scoring line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set includes:

[0040] The projection area of ​​the target three-dimensional scoring line segment is calculated using a pre-constructed area formula according to the target adjacent scatter points and the maximum scoring scatter points, wherein the area formula is as follows:

[0041]

[0042] Where s represents the projected area, It indicates the particle size distribution score of the scatter point adjacent to the left in the horizontal direction. represents the particle size distribution score of the scatter point adjacent to the right in the horizontal direction, l1 represents the particle size gradient of the micro powder, Indicates the particle size distribution score of the adjacent scattered points in the longitudinal direction, represents the particle size distribution score of the adjacent scattered points in the longitudinal direction, and l2 represents the frequency gradient of the grading wheel;

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

[0044]

[0045] in, represents the interpolation area, and n represents the number of interpolation refinements;

[0046] Selecting an interpolation point set on the target three-dimensional scoring line segment according to the interpolation area, wherein the projection area of ​​the three-dimensional scoring line segment formed by adjacent interpolation points in the interpolation point set is the interpolation area;

[0047] Projection mapping is performed on the interpolation point set to obtain a two-dimensional interpolation point set.

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

[0049] Extracting two-dimensional interpolation points in sequence from the two-dimensional interpolation point set, and drawing parallel lines to the x-axis and the y-axis through the two-dimensional difference points to obtain multiple groups of cross-intersecting lines;

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

[0051] Optionally, drawing a refined scatter distribution diagram according to the optimal particle size interval and the refined distribution curve set includes:

[0052] According to the optimal particle size range, a set of refined distribution curve segments is intercepted from the refined distribution curve set;

[0053] The refined distribution segment set is used to update the optimal 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 score formula to obtain a refined distribution score set;

[0054] Extracting the interpolation grid intersection points in the two-dimensional interpolation grid in sequence, and identifying the refined micro powder particle size and refined classification wheel frequency corresponding to the interpolation grid intersection points;

[0055] The refined distribution scores corresponding to the interpolation grid intersections are extracted from the refined distribution score set, and points are plotted in the three-dimensional scattered point coordinate system according to the refined micro-powder particle size, refined classification wheel frequency and refined distribution score to obtain a refined scattered point distribution diagram.

[0056] Optionally, the modified micro-nano zinc oxide-based powder material is prepared using a preset zinc oxide preparation process according to the target micro powder particle size and target frequency parameters, including:

[0057] Obtaining heavy zinc oxide particles, and pulverizing the heavy zinc oxide particles according to the target powder particle size to obtain powder zinc oxide particles, wherein the target powder particle size is the average particle size of the powder zinc oxide particles;

[0058] According to the target frequency parameter, the micro powder zinc oxide particles are subjected to high pressure air flow milling to obtain air flow milled zinc oxide particles, wherein the target frequency parameter is the frequency of the classifying wheel of the high pressure air flow mill;

[0059] The jet milled zinc oxide particles are air-selected using a preset optimal air-selected particle size to obtain a modified micro-nano zinc oxide split material.

[0060] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0061] at least one processor; and,

[0062] a memory communicatively connected to the at least one processor; wherein,

[0063] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned high-efficiency and low-cost method for preparing modified micro-nano zinc oxide-based powder materials.

[0064] In order to solve the above problems, the present invention also 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 high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method.

[0065] Compared with the problems described in the background technology, the present invention prepares modified micro-nano zinc oxide-based powder materials through optimized target micro-powder particle size and target frequency parameters. When obtaining the target micro-powder particle size and target frequency parameters, the micro-powder particle size sequence is first set according to the preset micro-powder particle size range and micro-powder particle size gradient, and the air flow mill frequency sequence is set according to the preset grading wheel frequency range and grading wheel frequency gradient. Then, an initial powder preparation matrix is ​​constructed according to the micro-powder particle size sequence and the air flow mill frequency sequence. In order to determine the particle size distribution curve of the air flow mill powder under different particle size frequency parameters, it is necessary to extract the particle size frequency parameters in the initial powder preparation matrix in sequence, and then perform an air flow mill test according to the particle size frequency parameters to obtain the air flow mill powder. At this time, the air flow The particle size distribution of the ground powder is measured to obtain a particle size distribution curve set. In order to score the particle size distribution of each particle size distribution curve, it is necessary to obtain the optimal particle size range of the zinc oxide-based powder, and then intercept the optimal distribution segment set in the particle size distribution curve set according to the optimal particle size range. At this time, the particle size distribution score of each optimal distribution segment in the optimal distribution segment set can be calculated according to the preset distribution scoring 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 scoring point is the best in the initial powder preparation matrix Particle size frequency parameters. In order to further optimize the particle size frequency parameters, a three-dimensional scatter point distribution diagram can be first drawn according to the target powder preparation matrix, and the maximum score scatter point can be identified in the three-dimensional scatter point distribution diagram. In order to determine the optimization range of the particle size frequency parameters, it is necessary to extract a target adjacent scatter point set in the three-dimensional scatter point distribution diagram according to the maximum score scatter point. At this time, the target adjacent scatter points can be sequentially extracted from the target adjacent scatter point set, and the target adjacent scatter points and the maximum score scatter point can be connected to obtain a target three-dimensional scoring line segment. Then, interpolation mapping is performed in the target three-dimensional scoring line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set. A two-dimensional interpolation grid is constructed according to the two-dimensional interpolation point set. At this time, the optimization range of the particle size frequency parameters is realized. The gridding process is convenient for the subsequent second particle size distribution measurement. After obtaining the two-dimensional interpolation grid, it is only necessary to extract the two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, and perform the air flow milling test and the particle size distribution measurement according to the two-dimensional interpolation points to obtain the refined distribution curve set. Then, in the same way, a refined scatter point distribution diagram is drawn according to the optimal particle size interval and the refined distribution curve set, and the maximum refined scatter point is extracted from the refined scatter point distribution diagram. By identifying the target micro-powder particle size and target frequency parameters of the maximum refined scatter point, the final optimized particle size frequency parameters are obtained. Finally, according to the target micro-powder particle size and target frequency parameters, the preset zinc oxide preparation process can be used to prepare the modified micro-nano zinc oxide-based powder material.Therefore, the present invention proposes a method, device, electronic device and computer-readable storage medium for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, the main purpose of which is to solve the problems of poor preparation effect and high preparation cost in the current preparation method of nano zinc oxide. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A schematic diagram of a process for preparing a highly efficient and low-cost modified micro-nano zinc oxide-based powder material according to an embodiment of the present invention;

[0067] Figure 2 A schematic structural diagram of an electronic device for implementing the highly efficient and low-cost method for preparing modified micro-nano zinc oxide-based powder materials provided in one embodiment of the present invention.

[0068] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

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

[0070] The embodiment of the present application provides a method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost. The execution subject of the method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost 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] Reference Figure 1 FIG. 1 is a schematic diagram of a process for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to an embodiment of the present invention. In this embodiment, the high-efficiency and low-cost modified micro-nano zinc oxide-based powder material preparation method includes:

[0073] S1. Setting a powder particle size sequence according to a preset powder particle size interval and a powder particle size gradient, setting a jet mill frequency sequence according to a preset classifying wheel frequency interval and a classifying wheel frequency gradient, and constructing an initial powder preparation matrix according to the powder particle size sequence and the jet mill frequency sequence.

[0074] It can be explained that the micro powder particle size interval refers to the preset particle size interval when the heavy modified zinc oxide particles are micronized by a micronizer, the micro powder particle size gradient refers to the preset micro powder particle size change gradient, and the micro powder particle size sequence refers to a sequence of multiple micro powder particle sizes extracted from the micro powder particle size interval according to the micro powder particle size gradient. The grading wheel frequency interval refers to the grading wheel frequency value interval of the air flow mill, the grading wheel frequency gradient refers to the value change gradient of the air flow mill, the air flow mill frequency sequence refers to a plurality of grading wheel frequency value sequences extracted from the grading wheel frequency interval according to the grading 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 air flow mill frequency sequence.

[0075] For example, the micro powder particle size range can be 40μm-60μm, and the micro powder particle size gradient can be 2μm. In this case, the micro powder particle size sequence is: 40μm, 42μm, 44μm, ..., 60μm. The frequency range of the classifying wheel can be: 80Hz-200Hz, and the frequency gradient of the classifying wheel can be 20Hz. In this case, the frequency sequence of the jet mill is 80Hz, 100Hz, ..., 200Hz. In this case, the matrix lateral factor sequence of the initial powder preparation matrix is ​​40μm, 42μm, 44μm, ..., 60μm, and the matrix longitudinal factor sequence of the initial powder preparation matrix is ​​80Hz, 100Hz, ..., 200Hz.

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

[0077] According to the micro powder particle size sequence and the jet mill frequency sequence, a matrix horizontal factor sequence and a matrix vertical factor sequence are respectively constructed;

[0078] An initial powder preparation matrix is ​​constructed according to the matrix transverse factor sequence and the matrix longitudinal factor sequence.

[0079] S2. Extracting particle size frequency parameters in the initial powder preparation matrix in sequence, performing a jet mill test according to the particle size frequency parameters to obtain jet mill powder, and measuring the particle size distribution of the jet mill powder to obtain a particle size distribution curve set.

[0080] Furthermore, the particle size frequency parameter refers to the parameter composed of the micro powder particle size and the air flow mill frequency in the initial powder preparation matrix, for example: when the micro powder particle size is 60μm and the classifying wheel frequency is 80Hz, the particle size frequency parameter is 60μm, 80Hz. The air flow mill test refers to the process of controlling other variables (except the micro powder particle size and the classifying wheel frequency) in the air flow mill powder preparation process to be consistent, and performing micro powder machine fine powder and air flow mill crushing according to the micro powder particle size and the classifying wheel frequency respectively. The air flow mill powder refers to the micro-nano zinc oxide particles after the air flow mill test with the particle size frequency parameter. The particle size distribution measurement refers to the process of determining the volume fraction corresponding to each preset particle size particle in the air flow mill powder. The particle size distribution curve set refers to a set of curves with the dependent variable as the particle size and the independent variable as the volume fraction, which is used to describe the corresponding relationship between the particle size and the volume fraction in the air flow mill powder.

[0081] In the embodiment of the present invention, the particle size distribution of the jet mill powder is measured to obtain a particle size distribution curve set, including:

[0082] Acquire a jet mill particle size sequence, extract jet mill particle sizes in the jet mill particle size sequence in sequence, and determine the volume fraction of the jet mill particle sizes;

[0083] According to the jet mill particle size and the volume fraction, points are plotted in a pre-constructed particle size fraction two-dimensional coordinate system to obtain a particle size fraction scattered point set;

[0084] The particle size fraction scatter point set is fitted to obtain a particle size distribution curve, and the particle size distribution curves of each particle size frequency parameter are summarized to obtain a particle size distribution curve set.

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

[0086] S3, obtaining an optimal particle size range of the zinc oxide-based powder, and intercepting an optimal distribution curve set from the particle size distribution curve set according to the optimal particle size range.

[0087] It can be understood that the optimal particle size interval refers to the optimal particle size interval of the airflow mill powder, for example, the optimal particle size interval can be 5μm-7μm. The optimal distribution segment set refers to the set of curve segments 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 improvement of the properties of the ceramic by the modified micro-nano zinc oxide-based powder material. For example, the optimal particle size interval can be evaluated according to the excellent degree of properties such as glaze slurry performance, fluxing effect, coloring performance and glaze effect. When the multiple particle size intervals are 2μm-5μm, 5μm-7μm, 7μm-10μm, 10μm-13μm, 13μm-16μm, and when the particle size interval of the airflow mill powder is 5μm-7μm, the glaze slurry performance, fluxing effect, coloring performance and glaze effect are the best. At this time, the optimal particle size interval is 5μm-7μm.

[0088] In the embodiment of the present invention, the step of obtaining the optimal particle size range of the zinc oxide-based powder includes:

[0089] Obtaining a particle size value interval, selecting a termination domain value in the particle size value interval in sequence according to a preset termination control step, intercepting a termination value interval in the particle size value interval according to the termination domain value, and selecting a starting domain value in sequence in the termination value interval according to a preset starting control step, to obtain a starting domain value sequence;

[0090] Constructing a particle size interval set of the termination value interval according to the starting domain value sequence and the termination domain value, and obtaining multiple groups of particle size interval sets;

[0091] Extracting particle size intervals in sequence from the plurality of groups of particle size intervals, and preparing a zinc oxide-based powder material according to the particle size intervals;

[0092] Performing ceramic glaze performance evaluation on the zinc oxide-based powder material to obtain a performance evaluation value set;

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

[0094] It can be explained that the particle size value interval refers to the preset value interval for selecting the optimal particle size interval, the termination control step refers to the step length for selecting the termination point in the particle size value interval, the termination domain value refers to the particle size value for selecting the termination point in the particle size value interval, the termination value interval refers to the particle size interval less than or equal to the termination domain value in the particle size value interval, the starting control step refers to the step length for selecting the starting point in the termination value interval, the starting domain value refers to the 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 the sequence composed of the particle size values ​​of the starting points, and the particle size interval set refers to the 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 the evaluation of the zinc oxide-based powder material according to the preset glaze slurry performance, fluxing effect, color development performance and glaze effect and other property evaluation indicators.

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

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

[0097] Furthermore, the distribution scoring formula is as follows:

[0098]

[0099] in, 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-1th sampling point in the i-th optimal distribution segment, represents the volume fraction of the jth sampling point in the i-th optimal distribution segment, and d represents the spacing between sampling points.

[0100] It can be understood that the larger the projection area of ​​the optimal distribution segment on the x-axis (the area enclosed by the optimal distribution segment, the x-axis, and the straight lines intersecting the two end points of the optimal distribution curve perpendicular to the x-axis) is, the greater the particle size distribution score of the optimal distribution segment is, the greater the volume fraction of particles with a particle size corresponding to the optimal distribution segment is, and the better the final ceramic glaze performance evaluation is. Therefore, the larger the particle size distribution score is, the better the particle size of the airflow milled powder corresponding to the optimal distribution segment is.

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

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

[0103] S6. Draw a three-dimensional scatter point distribution map according to the target powder preparation matrix, identify the maximum rated scatter point in the three-dimensional scatter point distribution map, and extract a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum rated scatter point.

[0104] It can be understood that the three-dimensional scatter point distribution diagram refers to the scatter point distribution diagram obtained after plotting points in a pre-constructed three-dimensional scatter point 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 an embodiment of the present invention, the step of drawing a three-dimensional scatter distribution diagram according to the target powder preparation matrix includes:

[0106] Obtaining a three-dimensional scattered point coordinate system, wherein the x-axis of the three-dimensional scattered point coordinate system represents the particle size of the micropowder, the y-axis represents the classification wheel frequency, and the z-axis represents the particle size distribution score;

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

[0108] Points are plotted in the three-dimensional scattered point coordinate system according to the identified micro powder particle size, the identified classification wheel frequency and the particle size distribution score to obtain a three-dimensional scattered point distribution diagram.

[0109] In the embodiment of the present invention, extracting a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum score scatter point includes:

[0110] Identify the two-dimensional scoring coordinate of the maximum scoring scatter point, and identify the horizontal left adjacent coordinate, the horizontal right adjacent coordinate, the vertical upper adjacent coordinate, and the vertical lower adjacent coordinate corresponding to the two-dimensional scoring coordinate in the three-dimensional scatter point coordinate system;

[0111] According to the horizontal left adjacent coordinates, horizontal right adjacent coordinates, vertical upper adjacent coordinates and vertical lower adjacent coordinates, horizontal left adjacent scatter points, horizontal right adjacent scatter points, vertical upper adjacent scatter points and vertical lower adjacent scatter points are extracted from the three-dimensional scatter point distribution map to obtain a target adjacent scatter point set.

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

[0113] S7, sequentially extracting target adjacent scatter points from the target adjacent scatter point set, connecting the target adjacent scatter points and the maximum scoring scatter points, and obtaining a target three-dimensional scoring line segment.

[0114] S8. Perform interpolation mapping in the target three-dimensional scoring line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set, and construct 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 scoring segment, the interpolation mapping refers to the two-dimensional point set obtained after mapping the interpolation points in the target three-dimensional scoring segment to the plane where the x and y axes are located. The two-dimensional interpolation grid refers to the grid constructed by using the two-dimensional interpolation point set as the grid intersection.

[0116] In the embodiment of the present invention, the interpolation mapping is performed in the target three-dimensional scoring line segment according to the preset interpolation refinement number to obtain a two-dimensional interpolation point set, including:

[0117] The projection area of ​​the target three-dimensional scoring line segment is calculated using a pre-constructed area formula according to the target adjacent scatter points and the maximum scoring scatter points, wherein the area formula is as follows:

[0118]

[0119] Where s represents the projected area, It indicates the particle size distribution score of the scatter point adjacent to the left in the horizontal direction. represents the particle size distribution score of the scatter point adjacent to the right in the horizontal direction, l1 represents the particle size gradient of the micro powder, Indicates the particle size distribution score of the adjacent scattered points in the longitudinal direction, represents the particle size distribution score of the adjacent scattered points in the longitudinal direction, and l2 represents the frequency gradient of the grading wheel;

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

[0121]

[0122] in, represents the interpolation area, and n represents the number of interpolation refinements;

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

[0124] Projection mapping is performed on the interpolation point set to obtain a two-dimensional interpolation point set.

[0125] Furthermore, when selecting the interpolation point set on the target three-dimensional scoring segment according to the interpolation area, it is necessary to adjust the area enclosed by adjacent interpolation points (interpolation points and interpolation points, or interpolation points and target adjacent scattered points) and the two adjacent projection points of the adjacent interpolation points on the x and y axes to be equal to the interpolation area.

[0126] In an embodiment of the present invention, constructing a two-dimensional interpolation grid according to the two-dimensional interpolation point set includes:

[0127] Extracting two-dimensional interpolation points in sequence from the two-dimensional interpolation point set, and drawing parallel lines to the x-axis and the y-axis through the two-dimensional difference points to obtain multiple groups of cross-intersecting lines;

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

[0129] S9, extracting two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, performing a jet mill test and a particle size distribution measurement according to the two-dimensional interpolation points, and obtaining a set of refined distribution curves.

[0130] S10, drawing a refined scatter point distribution diagram 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 diagram, and identifying a target micro powder particle size and a target frequency parameter of the maximum refined scatter point.

[0131] It is understandable that drawing a refined scatter distribution diagram according to the optimal particle size interval and the refined distribution curve set is similar to drawing a three-dimensional scatter distribution diagram according to the optimal particle size interval and the particle size distribution curve set. The refined scatter distribution diagram refers to a scatter distribution diagram obtained by three-dimensionally plotting points on the three-dimensional scatter coordinate system according to the refined distribution score of each refined distribution curve in the refined distribution curve set.

[0132] In an embodiment of the present invention, the step of drawing a refined scatter distribution diagram according to the optimal particle size interval and the refined distribution curve set includes:

[0133] According to the optimal particle size range, a set of refined distribution curve segments is intercepted from the refined distribution curve set;

[0134] The refined distribution segment set is used to update the optimal 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 score formula to obtain a refined distribution score set;

[0135] Extracting the interpolation grid intersection points in the two-dimensional interpolation grid in sequence, and identifying the refined micro powder particle size and refined classification wheel frequency corresponding to the interpolation grid intersection points;

[0136] The refined distribution scores corresponding to the interpolation grid intersections are extracted from the refined distribution score set, and points are plotted in the three-dimensional scattered point coordinate system according to the refined micro-powder particle size, refined classification wheel frequency and refined distribution score to obtain a refined scattered point distribution diagram.

[0137] It is understandable that the refined distribution segment set refers to the segment set belonging to the optimal particle size range in each refined distribution curve. The refined distribution score set refers to the set of particle size distribution scores of each refined distribution segment in the refined distribution segment set. Since the refined scatter distribution graph is drawn in the same way as the three-dimensional scatter distribution graph, it will not be repeated here.

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

[0139] In an embodiment of the present invention, the modified micro-nano zinc oxide-based powder material is prepared using a preset zinc oxide preparation process according to the target micro powder particle size and the target frequency parameters, including:

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

[0141] According to the target frequency parameter, the micro powder zinc oxide particles are subjected to high pressure air flow milling to obtain air flow milled zinc oxide particles, wherein the target frequency parameter is the frequency of the classifying wheel of the high pressure air flow mill;

[0142] The jet milled zinc oxide particles are air-selected using a preset optimal air-selected particle size to obtain a modified micro-nano zinc oxide split material.

[0143] It is understandable that the method of obtaining the heavy zinc oxide particles requires calcining the zinc raw material at a high temperature of 800 to 1250 degrees to reduce the specific surface energy, modify and remove volatile impurities, so as to obtain heavy zinc oxide particles (specific gravity 2.0 to 2.4, flow rate 11 to 12 seconds, no thixotropy for 48 hours), and the zinc raw material can be one or more of zinc-containing compounds such as secondary zinc oxide, raw zinc oxide, zinc carbonate, zinc hydroxide, and zinc ash. The micropowder refers to the process of grinding the heavy zinc oxide using a micropowder machine. The target micropowder particle size can be 44μm-50μm, and the target micropowder particle size is the micropowder particle size range. The micropowder zinc oxide particles have a specific gravity of 1.8 to 2.3, a flow rate of 10 to 12 seconds, and no thixotropy for 48 hours. The high-pressure airflow mill uses the high-pressure airflow of the high-pressure airflow mill to disperse and impact the micro-powder zinc oxide particles, so that the particle size is reduced to the micro-nano level (the average particle size is less than 7 microns), and the desired modified micro-nano zinc oxide split material is selected from the flow-milled zinc oxide particles by adjusting the speed of the grading screen for controlling the particle size and the matching multi-stage air separation collector.

[0144] Compared with the problems described in the background technology, the present invention prepares modified micro-nano zinc oxide-based powder materials through optimized target micro-powder particle size and target frequency parameters. When obtaining the target micro-powder particle size and target frequency parameters, the micro-powder particle size sequence is first set according to the preset micro-powder particle size range and micro-powder particle size gradient, and the air flow mill frequency sequence is set according to the preset grading wheel frequency range and grading wheel frequency gradient. Then, an initial powder preparation matrix is ​​constructed according to the micro-powder particle size sequence and the air flow mill frequency sequence. In order to determine the particle size distribution curve of the air flow mill powder under different particle size frequency parameters, it is necessary to extract the particle size frequency parameters in the initial powder preparation matrix in sequence, and then perform an air flow mill test according to the particle size frequency parameters to obtain the air flow mill powder. At this time, the air flow The particle size distribution of the ground powder is measured to obtain a particle size distribution curve set. In order to score the particle size distribution of each particle size distribution curve, it is necessary to obtain the optimal particle size range of the zinc oxide-based powder, and then intercept the optimal distribution segment set in the particle size distribution curve set according to the optimal particle size range. At this time, the particle size distribution score of each optimal distribution segment in the optimal distribution segment set can be calculated according to the preset distribution scoring 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 scoring point is the best in the initial powder preparation matrix Particle size frequency parameters. In order to further optimize the particle size frequency parameters, a three-dimensional scatter point distribution diagram can be first drawn according to the target powder preparation matrix, and the maximum score scatter point can be identified in the three-dimensional scatter point distribution diagram. In order to determine the optimization range of the particle size frequency parameters, it is necessary to extract a target adjacent scatter point set in the three-dimensional scatter point distribution diagram according to the maximum score scatter point. At this time, the target adjacent scatter points can be sequentially extracted from the target adjacent scatter point set, and the target adjacent scatter points and the maximum score scatter point can be connected to obtain a target three-dimensional scoring line segment. Then, interpolation mapping is performed in the target three-dimensional scoring line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set. A two-dimensional interpolation grid is constructed according to the two-dimensional interpolation point set. At this time, the optimization range of the particle size frequency parameters is realized. The gridding process is convenient for the subsequent second particle size distribution measurement. After obtaining the two-dimensional interpolation grid, it is only necessary to extract the two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, and perform the air flow milling test and the particle size distribution measurement according to the two-dimensional interpolation points to obtain the refined distribution curve set. Then, in the same way, a refined scatter point distribution diagram is drawn according to the optimal particle size interval and the refined distribution curve set, and the maximum refined scatter point is extracted from the refined scatter point distribution diagram. By identifying the target micro-powder particle size and target frequency parameters of the maximum refined scatter point, the final optimized particle size frequency parameters are obtained. Finally, according to the target micro-powder particle size and target frequency parameters, the preset zinc oxide preparation process can be used to prepare the modified micro-nano zinc oxide-based powder material.Therefore, the present invention proposes a method, device, electronic device and computer-readable storage medium for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, the main purpose of which is 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] like Figure 2 , which is a schematic diagram of the structure of an electronic device for realizing a method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, provided by one embodiment of the present invention.

[0147] The electronic device 1 may include a processor 10, a memory 11, a bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for preparing a highly efficient and low-cost modified micro-nano zinc oxide-based powder material.

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

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

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

[0151] Figure 2 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 2 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0152] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

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

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

[0155] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0156] The high-efficiency and 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. When running in the processor 10, it can achieve:

[0157] A micro powder particle size sequence is set according to a preset micro powder particle size interval and a micro powder particle size gradient, a jet mill frequency sequence is set according to a preset classifying wheel frequency interval and a classifying wheel frequency gradient, and an initial powder preparation matrix is ​​constructed according to the micro powder particle size sequence and the jet mill frequency sequence;

[0158] Extracting particle size frequency parameters in the initial powder preparation matrix in sequence, performing a jet mill test according to the particle size frequency parameters to obtain a jet mill powder, and measuring the particle size distribution of the jet mill powder to obtain a particle size distribution curve set;

[0159] Obtaining an optimal particle size range of the zinc oxide-based powder, and intercepting an optimal distribution curve segment set in the particle size distribution curve set according to the optimal particle size range;

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

[0161]

[0162] in, 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-1th sampling point in the i-th optimal distribution segment, represents the volume fraction of the jth sampling point in the i-th optimal distribution segment, and d represents the spacing between sampling points;

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

[0164] Draw a three-dimensional scatter point distribution map according to the target powder preparation matrix, identify the maximum rated scatter point in the three-dimensional scatter point distribution map, and extract a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum rated scatter point;

[0165] Extract target adjacent scatter points in sequence from the target adjacent scatter point set, connect the target adjacent scatter points and the maximum scoring scatter points, and obtain a target three-dimensional scoring line segment;

[0166] Performing interpolation mapping in the target three-dimensional scoring 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 two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, performing a jet mill test and measuring particle size distribution according to the two-dimensional interpolation points, and obtaining a set of refined distribution curves;

[0168] Draw a refined scatter point distribution diagram according to the optimal particle size interval and the refined distribution curve set, extract the maximum refined scatter point in the refined scatter point distribution diagram, and identify the target micro powder particle size and target frequency parameters of the maximum refined scatter point;

[0169] According to the target micro powder particle size and target frequency parameters, a modified micro-nano zinc oxide-based powder material is prepared using a preset zinc oxide preparation process.

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

[0171] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. 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, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0172] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0173] A micro powder particle size sequence is set according to a preset micro powder particle size interval and a micro powder particle size gradient, a jet mill frequency sequence is set according to a preset classifying wheel frequency interval and a classifying wheel frequency gradient, and an initial powder preparation matrix is ​​constructed according to the micro powder particle size sequence and the jet mill frequency sequence;

[0174] Extracting particle size frequency parameters in the initial powder preparation matrix in sequence, performing a jet mill test according to the particle size frequency parameters to obtain a jet mill powder, and measuring the particle size distribution of the jet mill powder to obtain a particle size distribution curve set;

[0175] Obtaining an optimal particle size range of the zinc oxide-based powder, and intercepting an optimal distribution curve segment set in the particle size distribution curve set according to the optimal particle size range;

[0176] According to a preset distribution scoring formula, the particle size distribution score of each optimal distribution segment in the optimal distribution segment set is calculated to obtain a particle size distribution score set, wherein the distribution scoring formula is as follows:

[0177]

[0178] in, 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-1th sampling point in the i-th optimal distribution segment, represents the volume fraction of the jth sampling point in the i-th optimal distribution segment, and d represents the spacing between sampling points;

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

[0180] Draw a three-dimensional scatter point distribution map according to the target powder preparation matrix, identify the maximum rated scatter point in the three-dimensional scatter point distribution map, and extract a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum rated scatter point;

[0181] Extract target adjacent scatter points in sequence from the target adjacent scatter point set, connect the target adjacent scatter points and the maximum scoring scatter points, and obtain a target three-dimensional scoring line segment;

[0182] Performing interpolation mapping in the target three-dimensional scoring 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;

[0183] Extracting two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, performing a jet mill test and measuring particle size distribution according to the two-dimensional interpolation points, and obtaining a set of refined distribution curves;

[0184] Draw a refined scatter point distribution diagram according to the optimal particle size interval and the refined distribution curve set, extract the maximum refined scatter point in the refined scatter point distribution diagram, and identify the target micro powder particle size and target frequency parameters of the maximum refined scatter point;

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

[0186] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0187] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented 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 invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0189] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for preparing a modified micro-nano zinc oxide-based powder material with high efficiency and low cost, characterized in that: The method comprises: A micro powder particle size sequence is set according to a preset micro powder particle size interval and a micro powder particle size gradient, a jet mill frequency sequence is set according to a preset classifying wheel frequency interval and a classifying wheel frequency gradient, and an initial powder preparation matrix is ​​constructed according to the micro powder particle size sequence and the jet mill frequency sequence; Extracting particle size frequency parameters in the initial powder preparation matrix in sequence, performing a jet mill test according to the particle size frequency parameters to obtain a jet mill powder, and measuring the particle size distribution of the jet mill powder to obtain a particle size distribution curve set; Obtaining an optimal particle size range of the zinc oxide-based powder, and intercepting an optimal distribution curve segment set in the particle size distribution curve set according to the optimal particle size range; According to a preset distribution scoring formula, the particle size distribution score of each optimal distribution segment in the optimal distribution segment set is calculated to obtain a particle size distribution score set, wherein the distribution scoring formula is as follows: in, 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-1th sampling point in the i-th optimal distribution segment, represents the volume fraction of the jth sampling point in the i-th optimal distribution segment, and d represents the spacing between sampling points; Filling the particle size distribution score set into the initial powder preparation matrix to obtain a target powder preparation matrix; Draw a three-dimensional scatter point distribution map according to the target powder preparation matrix, identify the maximum rated scatter point in the three-dimensional scatter point distribution map, and extract a target adjacent scatter point set in the three-dimensional scatter point distribution map according to the maximum rated scatter point; Extract target adjacent scatter points in sequence from the target adjacent scatter point set, connect the target adjacent scatter points and the maximum scoring scatter points, and obtain a target three-dimensional scoring line segment; Performing interpolation mapping in the target three-dimensional scoring 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; Extracting two-dimensional interpolation points in the two-dimensional interpolation grid in sequence, performing a jet mill test and measuring particle size distribution according to the two-dimensional interpolation points, and obtaining a set of refined distribution curves; Draw a refined scatter point distribution diagram according to the optimal particle size interval and the refined distribution curve set, extract the maximum refined scatter point in the refined scatter point distribution diagram, and identify the target micro powder particle size and target frequency parameters of the maximum refined scatter point; According to the target micro powder particle size and target frequency parameters, a modified micro-nano zinc oxide-based powder material is prepared using a preset zinc oxide preparation process.

2. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 1, characterized in that: The initial powder preparation matrix is ​​constructed according to the micro powder particle size sequence and the jet mill frequency sequence, comprising: According to the micro powder particle size sequence and the jet mill frequency sequence, a matrix horizontal factor sequence and a matrix vertical factor sequence are respectively constructed; An initial powder preparation matrix is ​​constructed according to the matrix transverse factor sequence and the matrix longitudinal factor sequence.

3. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 1, characterized in that: The particle size distribution of the jet mill powder is measured to obtain a particle size distribution curve set, including: Acquire a jet mill particle size sequence, extract jet mill particle sizes in the jet mill particle size sequence in sequence, and determine the volume fraction of the jet mill particle sizes; According to the jet mill particle size and the volume fraction, points are plotted in a pre-constructed particle size fraction two-dimensional coordinate system to obtain a particle size fraction scattered point set; The particle size fraction scatter point set is fitted to obtain a particle size distribution curve, and the particle size distribution curves of each particle size frequency parameter are summarized to obtain a particle size distribution curve set.

4. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 1, characterized in that: The method for obtaining the optimal particle size range of the zinc oxide-based powder includes: Obtaining a particle size value interval, selecting a termination domain value in the particle size value interval in sequence according to a preset termination control step, intercepting a termination value interval in the particle size value interval according to the termination domain value, and selecting a starting domain value in sequence in the termination value interval according to a preset starting control step, to obtain a starting domain value sequence; Constructing a particle size interval set of the termination value interval according to the starting domain value sequence and the termination domain value, and obtaining multiple groups of particle size interval sets; Extracting particle size intervals in sequence from the plurality of groups of particle size intervals, and preparing a zinc oxide-based powder material according to the particle size intervals; Performing ceramic glaze performance evaluation on the zinc oxide-based powder material to obtain a performance evaluation value set; The best performance evaluation value is extracted from the performance evaluation value set, and the best particle size interval corresponding to the best performance evaluation value is identified.

5. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 1, characterized in that: The step of drawing a three-dimensional scatter distribution diagram according to the target powder preparation matrix includes: Obtaining a three-dimensional scattered point coordinate system, wherein the x-axis of the three-dimensional scattered point coordinate system represents the particle size of the micropowder, the y-axis represents the classification wheel frequency, and the z-axis represents the particle size distribution score; Extracting particle size distribution scores in the target powder preparation matrix in sequence, and identifying the identified micro powder particle size and the identified classification wheel frequency corresponding to the particle size distribution scores; Points are plotted in the three-dimensional scattered point coordinate system according to the identified micro powder particle size, the identified classification wheel frequency and the particle size distribution score to obtain a three-dimensional scattered point distribution diagram.

6. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 5, characterized in that: The step of extracting a target adjacent scatter point set from the three-dimensional scatter point distribution map according to the maximum-scoring scatter point comprises: Identify the two-dimensional scoring coordinate of the maximum scoring scatter point, and identify the horizontal left adjacent coordinate, the horizontal right adjacent coordinate, the vertical upper adjacent coordinate, and the vertical lower adjacent coordinate corresponding to the two-dimensional scoring coordinate in the three-dimensional scatter point coordinate system; According to the horizontal left adjacent coordinates, horizontal right adjacent coordinates, vertical upper adjacent coordinates and vertical lower adjacent coordinates, horizontal left adjacent scatter points, horizontal right adjacent scatter points, vertical upper adjacent scatter points and vertical lower adjacent scatter points are extracted from the three-dimensional scatter point distribution map to obtain a target adjacent scatter point set.

7. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 1, characterized in that: The interpolation mapping is performed in the target three-dimensional scoring line segment according to a preset interpolation refinement number to obtain a two-dimensional interpolation point set, including: The projection area of ​​the target three-dimensional scoring line segment is calculated using a pre-constructed area formula according to the target adjacent scatter points and the maximum scoring scatter points, wherein the area formula is as follows: Where s represents the projected area, It indicates the particle size distribution score of the scatter point adjacent to the left in the horizontal direction. represents the particle size distribution score of the scatter point adjacent to the right in the horizontal direction, l1 represents the particle size gradient of the micro powder, Indicates the particle size distribution score of the adjacent scattered points in the longitudinal direction, represents the particle size distribution score of the adjacent scattered points in the longitudinal direction, and l2 represents the frequency gradient of the grading wheel; According to the interpolation refinement number and the projection area, the interpolation area is calculated using the following formula: in, represents the interpolation area, and n represents the number of interpolation refinements; Selecting an interpolation point set on the target three-dimensional scoring line segment according to the interpolation area, wherein the projection area of ​​the three-dimensional scoring line segment formed by adjacent interpolation points in the interpolation point set is the interpolation area; Projection mapping is performed on the interpolation point set to obtain a two-dimensional interpolation point set.

8. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 2, characterized in that: The constructing a two-dimensional interpolation grid according to the two-dimensional interpolation point set comprises: Extracting two-dimensional interpolation points in sequence from the two-dimensional interpolation point set, and drawing parallel lines to the x-axis and the y-axis through the two-dimensional difference points to obtain multiple groups of cross-intersecting lines; The multiple groups of cross-intersecting lines are meshed to obtain a two-dimensional interpolation grid.

9. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 8, characterized in that: The step of drawing a refined scatter point distribution diagram according to the optimal particle size interval and the refined distribution curve set includes: According to the optimal particle size range, a set of refined distribution curve segments is intercepted from the refined distribution curve set; The refined distribution segment set is used to update the optimal 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 score formula to obtain a refined distribution score set; Extracting the interpolation grid intersection points in the two-dimensional interpolation grid in sequence, and identifying the refined micro powder particle size and refined classification wheel frequency corresponding to the interpolation grid intersection points; The refined distribution scores corresponding to the interpolation grid intersections are extracted from the refined distribution score set, and points are plotted in the three-dimensional scattered point coordinate system according to the refined micro-powder particle size, refined classification wheel frequency and refined distribution score to obtain a refined scattered point distribution diagram.

10. The method for preparing a high-efficiency and low-cost modified micro-nano zinc oxide-based powder material according to claim 1, characterized in that: The modified micro-nano zinc oxide-based powder material is prepared according to the target micro powder particle size and the target frequency parameters using a preset zinc oxide preparation process, including: Obtaining heavy zinc oxide particles, and pulverizing the heavy zinc oxide particles according to the target powder particle size to obtain powder zinc oxide particles, wherein the target powder particle size is the average particle size of the powder zinc oxide particles; According to the target frequency parameter, the micro powder zinc oxide particles are subjected to high pressure air flow milling to obtain air flow milled zinc oxide particles, wherein the target frequency parameter is the frequency of the classifying wheel of the high pressure air flow mill; The jet milled zinc oxide particles are air-selected using a preset optimal air-selected particle size to obtain a modified micro-nano zinc oxide split material.

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