3D Printing Slice Generation Method Applicable to Large-Scale Particle Packing Structures with Small Particle Size

Abstract

This invention relates to the field of 3D printing technology, specifically to a method for generating 3D printed slices applicable to large-scale particle packing structures with small particle sizes. The method includes the following steps: inputting three-dimensional particle structure data; extracting the three-dimensional particle structure data using a multi-source coordinate extraction module to obtain the centroid coordinates and diameter; drawing slice images layer by layer based on the centroid coordinates and diameter data; performing grayscale adjustment processing on the slice images; and outputting a complete slice image sequence based on the grayscale-adjusted slice images. This invention employs an external, independent slicing process, completely replacing the printer's built-in onboard slicing program. By combining multi-source coordinate extraction and grayscale adjustment mechanisms, this invention effectively solves the clogging problem that easily occurs during the printing of small-diameter particle packing structures with pores, and addresses the technical deficiency of existing onboard slicing programs that cannot complete slicing due to excessive memory usage when processing small-diameter, large-scale packed particle models.

Description

Technical Field

[0001] This invention relates to the field of 3D printing technology, and in particular to a method for generating 3D printed slices applicable to large-scale particle packing structures with small particle size. Background Technology

[0002] Gas-solid fluidized beds offer advantages such as continuous particle inflow and outflow, uniform bed temperature, and high operational flexibility, making them widely used in key processes in the chemical and energy industries, such as heavy oil catalytic cracking, coal and biomass gasification, flue gas purification, polysilicon production, and carbon nanotube production. However, traditional experiments face a key challenge in exploring the mechanisms of gas-solid interactions: the dynamic instability and morphological complexity of particle packing structures make them difficult to directly utilize for controllable and reproducible experimental research. To address this, 3D printing technology has been introduced into the research field. This technology solidifies the originally dynamic and complex particle packing structures into stable and reusable physical structures, providing an operable research platform for the experimental analysis of gas-solid interactions and effectively solving the problem of traditional experiments where fluidized structures are "visible but intangible."

[0003] Currently, DLP (Digital Light Processing) photopolymerization 3D printing offers high precision and is a commonly used technology for model fabrication. Its core logic is as follows: after the user inputs an STL (StereoLithography) / OBJ (Object File Format) 3D model file, the device's built-in program automatically slices the model, generating layer-by-layer black and white exposure images. White areas correspond to the areas where the resin is cured under ultraviolet light, while black areas remain liquid. Model formation is achieved through layer-by-layer stacking. This process offers advantages such as ease of operation and high automation when processing models with simple structures, few particles, and moderate size and resolution requirements, enabling rapid sample fabrication.

[0004] In industrial applications, small-diameter particles (typically represented by Geldart A and Geldart C particles, with a diameter <100 μm) possess a larger specific surface area, significantly improving mass and heat transfer efficiency. They are widely used in core areas such as catalytic reactions, adsorption separation, and energy conversion. Examples include catalyst particles for heavy oil catalytic cracking, adsorbent particles for flue gas purification, and raw material particles for polysilicon production, all primarily composed of this type of small-diameter particle. Therefore, research on high-precision fluidization structures for large-scale small-diameter particles is increasingly crucial, but the limitations of existing technologies are significantly amplified. The core challenges and specific shortcomings in this scenario are as follows.

[0005] While existing DLP printers' built-in slicing processes can meet the rapid prototyping needs of conventional models, they suffer from drawbacks such as clogging during the printing of small-diameter particle packing structures and the inability of existing onboard slicing programs to complete slicing due to excessive memory usage when processing small-diameter, large-scale particle packing models. To address these technical issues, a 3D printing slicing generation method suitable for small-diameter, large-scale particle packing structures is proposed. Summary of the Invention

[0006] To address the technical problems existing in the prior art, the present invention provides a method for generating 3D printed slices suitable for small-diameter, large-scale particle packing structures.

[0007] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0008] In a first aspect, in one embodiment of the present invention, a method for generating 3D printed slices suitable for small-diameter, large-scale particle packing structures is provided, the method comprising the following steps:

[0009] Input three-dimensional particle structure data;

[0010] The centroid coordinates and diameter of particles in the three-dimensional particle structure data are extracted using a multi-source coordinate extraction module to obtain centroid coordinate and diameter data.

[0011] Slice images are drawn layer by layer based on centroid coordinates and diameter data;

[0012] Perform grayscale adjustment processing on the sliced ​​image;

[0013] Based on the sliced ​​images after grayscale adjustment, a complete sliced ​​image sequence is output.

[0014] As a further aspect of the present invention, the step of extracting the centroid coordinates and diameter of particles from the three-dimensional particle structure data to obtain centroid coordinate and diameter data includes:

[0015] In the 3D software environment, the bounding box center of the selected particle object is calculated and used as the sphere center coordinates; the particle diameter is approximated by the object's maximum diameter length, and the structured centroid coordinates and diameter data are directly output.

[0016] As a further aspect of the present invention, the step of drawing slice images layer by layer based on centroid coordinates and diameter data includes:

[0017] The cross-sectional height is calculated layer by layer according to the preset layer thickness. The coordinates and diameters of the particles in each cross-section are determined to identify the cross-sectional profile of the particles in that layer.

[0018] Based on the cross-sectional contour, black and white / grayscale slice images are directly drawn, and image sequences including supporting structures are generated in batches.

[0019] An integrated parameter configuration interface supports customizing core parameters such as image size, layer thickness, and pixel size, ensuring compatibility between the slices and printing equipment.

[0020] As a further aspect of the present invention, the grayscale adjustment processing of the sliced ​​image includes:

[0021] A grayscale transition band is superimposed on the outer edge of the small ball;

[0022] By performing multiplicative attenuation on the pixels at the edge of the transition zone using a local annular mask, the grayscale value is reduced from a high value in the core region of the particle to a low value in the pore region.

[0023] As a further aspect of the present invention, the step of outputting a complete slice image sequence based on the slice image after grayscale adjustment processing includes:

[0024] Based on sliced ​​images, a batch of image sequences including supporting structures are generated. The generation process of these image sequences integrates a parameter configuration interface, which supports custom image size, layer thickness, and pixel size parameters to ensure that the slices are compatible with the printing equipment.

[0025] Secondly, the present invention provides a high-precision 3D printing slice generation method suitable for small-diameter large-scale particle packing structures. The method includes the following steps: inputting original slice image data.

[0026] Extract the centroid coordinates and diameter of the particles from the original slice image data to obtain centroid coordinate and diameter data;

[0027] Perform grayscale adjustment processing on the original slice image data;

[0028] Based on the original slice image data after grayscale adjustment processing, as well as the centroid coordinates and diameter data, a complete slice image sequence is output.

[0029] As a further aspect of the present invention, the centroid coordinates and diameter of particles in the three-dimensional particle structure data are extracted to obtain centroid coordinate and diameter data, including:

[0030] Image recognition technology is used to sequentially perform binarization, watershed segmentation, edge detection, and Pratt circle fitting on the sliced ​​image to obtain centroid coordinates and diameter data; watershed segmentation is used to separate overlapping particles, and edge detection is used to extract particle contours.

[0031] As a further aspect of the present invention, the grayscale adjustment processing of the sliced ​​image includes:

[0032] A grayscale transition band is superimposed on the outer edge of the small ball;

[0033] By performing multiplicative attenuation on the pixels at the edge of the transition zone using a local annular mask, the grayscale value is reduced from a high value in the core region of the particle to a low value in the pore region.

[0034] As a further aspect of the present invention, the sliced ​​image sequence format is PNG or TIFF, supporting 8-bit / 16-bit grayscale.

[0035] The technical solution provided by this invention has the following beneficial effects:

[0036] The present invention provides a method for generating 3D printed slices applicable to large-scale particle packing structures with small particle size. The method includes the following steps: inputting three-dimensional particle structure data; extracting the centroid coordinates and diameter of the particles in the three-dimensional particle structure data using a multi-source coordinate extraction module to obtain centroid coordinate and diameter data; drawing slice images layer by layer based on the centroid coordinate and diameter data; performing grayscale adjustment processing on the slice images; and outputting a complete slice image sequence based on the slice images after grayscale adjustment processing.

[0037] This invention employs an external, independent slicing process, completely replacing the printer's built-in slicing program. By combining multi-source coordinate extraction and grayscale adjustment mechanisms, this invention effectively solves the problems of clogging that easily occurs during the printing of small-diameter particle packing structures in pores, and the technical shortcomings of existing onboard slicing programs that cannot complete slicing due to excessive memory usage when processing small-diameter, large-scale packed particle models.

[0038] These or other aspects of the invention will become more apparent from the following description of embodiments. It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort.

[0040] Figure 1 The flowchart of a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention is as follows: Figure 1 .

[0041] Figure 2 This is a particle information extraction diagram from a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention.

[0042] Figure 3This is a particle information output diagram in a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention.

[0043] Figure 4 This is a slice image of Sa40 in a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention.

[0044] Figure 5 This is a flowchart of Sa401 in a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention.

[0045] Figure 6 This is a process diagram of step S401 in a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention.

[0046] Figure 7 The flowchart of a 3D printing slice generation method for small-diameter, large-scale particle packing structures according to an embodiment of the present invention is as follows: Figure 2 . Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0049] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0050] This invention provides a high-precision 3D printing slicing method specifically designed for small-diameter, large-scale particle packing structures. This method employs an external, independent slicing process, completely replacing the printer's built-in slicing program. By combining multi-source coordinate extraction and grayscale adjustment mechanisms, this invention effectively solves the clogging problem that easily occurs during the printing of pores in small-diameter particle packing structures. Specifically, this method differentially adjusts the grayscale of the sliced ​​particle images, reducing the grayscale value of the particle walls and improving the printing success rate. This not only ensures the stability of the slicing process but also meets the requirements for high-precision experiments on micron-scale particle packing structures.

[0051] Specifically, the embodiments of the present invention will be further described below with reference to the accompanying drawings. Example 1

[0052] Please see Figure 1 , Figure 1 This is a flowchart of a 3D printing slice generation method applicable to large-scale particle packing structures with small particle size, provided in Embodiment 1 of the present invention, as shown below. Figure 1 As shown, the 3D printing slice generation method applicable to small-diameter large-scale particle packing structures includes steps Sa10 to Sa50.

[0053] Sa10, Input three-dimensional particle structure data.

[0054] In embodiments of the present invention, the three-dimensional particle structure data can be a three-dimensional structure in a three-dimensional software environment such as Rhino. The three-dimensional particle structure data is a standardized input dataset.

[0055] The three-dimensional particle structure data is standardized in terms of unit and coordinate system, and the pixel size and layer thickness parameters are set.

[0056] Please see Figure 2 Sa20, the centroid coordinates and diameter of particles in the three-dimensional particle structure data are extracted using the multi-source coordinate extraction module to obtain centroid coordinate and diameter data.

[0057] This invention targets particle structures in 3D software such as Rhino. It calculates the center of the particle bounding box as the centroid coordinates programmatically, approximates the diameter with the object's maximum diameter, and directly outputs structured data without the need for format conversion.

[0058] It should be noted that step Sa20 can accurately extract the centroid coordinates and dimensions of particles from 3D structures in 3D software environments such as Rhino, supporting the generation of high-precision slices.

[0059] Please see Figure 3 Sa30, based on centroid coordinates and diameter data, draw slice images layer by layer.

[0060] In an embodiment of the present invention, Sa30, based on centroid coordinates and diameter data, draws slice images layer by layer, including:

[0061] The cross-sectional height is calculated layer by layer according to the preset layer thickness. The coordinates and diameters of the particles in each cross-section are determined to identify the cross-sectional profile of the particles in that layer.

[0062] Black and white / grayscale slice images are drawn directly based on the cross-sectional contour.

[0063] It should be noted that step S30 employs an external, independent slicing process that can completely replace the printer's built-in slicing program, directly circumventing the limitations of in-machine slicing on the memory and number of slice layers of large-scale, small-particle-size fluidized structure model files. This solves the problems of large file size for STL / OBJ modeling files and the limitations of in-machine slicing processes in terms of file size and number of layers. Step S30 does not rely on the device's onboard algorithms to process massive amounts of particle data, and can stably generate the sliced ​​images required for printing. It avoids problems such as slicing interruptions and parameter loss caused by computational overload in the slicing program, significantly reducing data volume and processing latency. The slicing process is controllable, and the generated image sequences can be reused across devices.

[0064] Sa40: Perform grayscale adjustment processing on the sliced ​​image.

[0065] It should be noted that step Sa401 addresses the issue that the micron-sized pores in small-particle fluidized structures are prone to blockage or structural collapse due to improper exposure dosage.

[0066] Please see Figure 4 , Figure 5 and Figure 6 In an embodiment of the present invention, Sa401 performs grayscale adjustment processing on the sliced ​​image, including:

[0067] Sa401, a grayscale transition band is superimposed on the outer edge of the small ball;

[0068] Sa402 uses a local annular mask to perform multiplicative attenuation on pixels at the transition zone edge, causing the grayscale value to gradually decrease from a high value in the particle core region to a low value in the pore region.

[0069] The above steps achieve the expansion of interconnected pores and the smoothing of boundaries, balancing pore permeability and structural solidification strength.

[0070] Sa50, based on the sliced ​​image after grayscale adjustment processing, outputs a complete sliced ​​image sequence.

[0071] In an embodiment of the present invention, step S50, based on the sliced ​​image after grayscale adjustment processing, outputs a complete sliced ​​image sequence, including:

[0072] Based on sliced ​​images, a batch of image sequences including supporting structures are generated. The image sequences integrate a parameter configuration interface, supporting the customization of core parameters such as image size, layer thickness, and pixel size, ensuring that the slices are compatible with the printing equipment. Example 2

[0073] Please see Figure 7 , Figure 7 This is a flowchart of a 3D printing slice generation method for small-diameter, large-scale particle packing structures provided in Embodiment 2 of the present invention, as shown below. Figure 7 As shown, the 3D printing slice generation method applicable to small-diameter large-scale particle packing structures includes steps Sb10 to Sb40.

[0074] Sb10, Input the original slice image data.

[0075] Sb20. Extract the centroid coordinates and diameter of the particles from the original slice image data to obtain the centroid coordinates and diameter data.

[0076] In an embodiment of the present invention, Sb20 extracts the centroid coordinates and diameter of particles from the three-dimensional particle structure data to obtain centroid coordinate and diameter data, including:

[0077] Image recognition technology is used to sequentially perform binarization, watershed segmentation, edge detection, and Pratt circle fitting on the sliced ​​image to obtain centroid coordinates and diameter data; watershed segmentation is used to separate overlapping particles. Edge detection is used to extract particle contours.

[0078] This invention sequentially performs binarization, watershed segmentation, and Pratt circle fitting on the input raw slice image data to accurately separate overlapping particles, detect edges, and perform Pratt circle fitting. Hough circle detection is then used for verification to ensure recognition accuracy. This invention overcomes the limitations of traditional Hough circle detection (which results in false positives and false negatives), the need for large amounts of labeled data and low efficiency in deep learning models, and the need for multiple format conversions in point cloud extraction. It adapts to the parameter extraction needs of different input scenarios.

[0079] It should be noted that the present invention can extract structural parameters (such as particle centroid coordinates and size) from existing sliced ​​images, realize the replication and secondary modification of the slicing scheme, and meet the flexible needs of scientific research scenarios for model reuse and parameter iteration.

[0080] Sb30: Perform grayscale adjustment processing on the original slice image data.

[0081] In an embodiment of the present invention, the Sb30 performs grayscale adjustment processing on the original slice image data, including:

[0082] A grayscale transition band is superimposed on the outer edge of the small ball;

[0083] By performing multiplicative attenuation on the pixels at the edge of the transition zone using a local annular mask, the grayscale value is reduced from a high value in the core region of the particle to a low value in the pore region.

[0084] The above steps achieve the expansion of interconnected pores and smoothing of boundaries, balancing pore permeability and structural solidification strength. It should be noted that step Sb30 addresses the issue that micron-level pores in small-particle fluidized structures are prone to blockage or structural collapse due to improper exposure dosage.

[0085] Sb40, based on the original slice image data after grayscale adjustment processing and the centroid coordinates and diameter data, outputs a complete slice image sequence.

[0086] In an embodiment of the present invention, the Sb40, based on the sliced ​​image after grayscale adjustment processing and the centroid coordinates and diameter data, outputs a complete sliced ​​image sequence, including:

[0087] Based on sliced ​​images, a batch of image sequences including supporting structures are generated. The image sequences integrate a parameter configuration interface, supporting the customization of core parameters such as image size, layer thickness, and pixel size, ensuring that the slices are compatible with the printing equipment.

[0088] This invention divides the sliced ​​image into a core region and a boundary transition region based on the particle's centroid and size. A pixel-level local annular mask is used to perform multiplicative attenuation on the boundary transition region, resulting in a linear gradient transition of grayscale values ​​from high values ​​in the core region to low values ​​in the pore region. This solves the dilemma of existing sliced ​​images with fixed exposure parameters, where excessive exposure leads to pore blockage and insufficient exposure leads to structural collapse. For printing pores in small-diameter particle packing structures, where micron-sized pores are prone to blockage or structural collapse due to improper exposure dosage, a regionalized grayscale control mechanism is introduced: based on particle fluidization characteristics (such as porosity, particle centroid coordinates, and size), the grayscale values ​​of the sliced ​​image are differentially controlled. High grayscale values ​​are used inside the particles to ensure curing strength, while gradient grayscale values ​​are used in the particle boundary transition region. This finely controls the curing degree of the boundary neighborhood, facilitating the formation of effective pores, balancing pore permeability and structural stability, and significantly improving the printing success rate.

[0089] In embodiments of the present invention, the slice image sequence can be named slice001.png to sliceN.png, and the format can be PNG or TIFF, supporting 8-bit / 16-bit grayscale, and used as input slices for photopolymerization 3D printers to realize the manufacturing of small-diameter, large-scale particle stacking structure entities.

[0090] This invention employs an external, independent slicing process that completely replaces the onboard slicing program of a 3D printer. It uses the centroid coordinates and diameter of small-diameter particles as the core input, instead of the large STL / OBJ model files of traditional printers. The cross-sectional height is calculated layer by layer according to a settable layer thickness. The "coordinate-diameter" intersection determination is performed on the particles within each cross-section to determine the cross-sectional outline. Black and white slice images containing the supporting structure are directly drawn, and image sequences are generated in batches. At the same time, a parameter configuration interface is integrated to support custom image size, layer thickness, and pixel size to match the printer.

[0091] This invention focuses on the core application scenario of 3D printing, specifically addressing the generation of precision slices for complex porous structures such as fluidized beds and packing materials. It provides crucial slicing technology support for the solid fabrication of three-dimensional fluidized structures of Geldart Class A particles (40-100μm), offering unlimited computing power, controllable parameters, and unobstructed pores. In materials science, it can be extended to printing catalyst supports and porous filter media; in soil science and geotechnical engineering, it can be used to construct three-dimensional particle packing models in soil permeability studies; and in industry and research, it supports the creation and printing of precision slices for different particle systems and operating conditions, providing solutions.

[0092] This invention first prepares input data according to experimental requirements, which can be slice images or 3D structures in a 3D software environment such as Rhino. Next, a multi-source coordinate extraction module obtains the centroid coordinates and dimensions of the particles, and outputs a unified data table. Then, based on the extracted coordinate and dimension data, drawing operations are performed directly, calculating cross-sections layer by layer and drawing black and white slice images. Slice images, including supporting structures, are generated in batches according to the set layer thickness and resolution requirements, ensuring that each layer accurately reflects the geometric features of the model. A grayscale control module is introduced to introduce grayscale transitions at the edges of the spheres. This optimization aims to improve the problem of clogging or structural collapse caused by improper exposure dosage, ensuring the stability of the printing process and the accuracy of the printing results by precisely controlling the grayscale values. Finally, the generated slice image sequence is organized and output according to equipment requirements, directly used as the slice input for a 3D photopolymerization printer, realizing the manufacturing of large-scale particle stacking structures with small particle sizes.

[0093] It should be understood that although the above description follows a certain order, these steps are not necessarily executed in that order. Unless otherwise expressly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, some steps in this embodiment may include multiple steps or multiple stages, which are not necessarily completed at the same time, but may be executed at different times. The execution order of these steps or stages is not necessarily sequential, but may be performed alternately or in turn with other steps or at least a portion of the steps or stages of other steps.

[0094] It should be understood that, as used herein, the singular form "a" is intended to include the plural form as well, unless the context clearly supports an exception. It should also be understood that, as used herein, "and / or" refers to any and all possible combinations of one or more of the associatedly listed items. The embodiment numbers disclosed above are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0095] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples. Within the framework of the invention, technical features of the above embodiments or different embodiments can be combined, and many other variations of different aspects of the invention exist, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the invention should be included within the protection scope of the invention.

Claims

1. A method for generating 3D printed slices suitable for large-scale particle packing structures with small particle size, characterized in that, The method includes: Input three-dimensional particle structure data; The centroid coordinates and diameter of the three-dimensional particle structure are extracted using a multi-source coordinate extraction module to obtain centroid coordinate and diameter data. Slice images are drawn layer by layer based on centroid coordinates and diameter data; Perform grayscale adjustment processing on the sliced ​​image; Based on the sliced ​​images after grayscale adjustment, a complete sliced ​​image sequence is output.

2. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 1, characterized in that, The step of extracting the centroid coordinates and diameter of particles from the three-dimensional particle structure data to generate centroid coordinate and diameter data includes: In the 3D software environment, the bounding box center of the selected particle object is calculated and used as the sphere center coordinates; the particle diameter is approximated by the maximum diameter of the object, and the structured centroid coordinates and diameter data are directly output.

3. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 1, characterized in that, The process of drawing slice images layer by layer based on centroid coordinates and diameter data includes: The cross-sectional height is calculated layer by layer according to the preset layer thickness. The coordinates and diameters of the particles in each cross-section are determined to identify the cross-sectional profile of the particles in that layer. Based on the cross-sectional contour, black and white / grayscale slice images are directly drawn, and image sequences including supporting structures are generated in batches. An integrated parameter configuration interface supports customizing core parameters such as image size, layer thickness, and pixel size, ensuring compatibility between the slices and printing equipment.

4. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 1, characterized in that, Grayscale adjustment processing of sliced ​​images includes: A grayscale transition band is superimposed on the outer edge of the small ball; By performing multiplicative attenuation on the pixels at the edge of the transition zone using a local annular mask, the grayscale value is reduced from a high value in the core region of the particle to a low value in the pore region.

5. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 1, characterized in that, The sliced ​​image after grayscale modulation processing outputs a complete sliced ​​image sequence, including: Based on sliced ​​images, a batch of image sequences including supporting structures are generated. The image sequences integrate a parameter configuration interface, supporting custom image size, layer thickness, and pixel size parameters to ensure that the slices are compatible with the printing equipment.

6. A method for generating 3D printed slices suitable for small-diameter, large-scale particle packing structures, characterized in that, The method includes: Input the raw slice image data; Extract the centroid coordinates and diameter of the particles from the original slice image data to obtain centroid coordinate and diameter data; Perform grayscale adjustment processing on the original slice image data; Based on the original slice image data after grayscale adjustment processing, as well as the centroid coordinates and diameter data, a complete slice image sequence is output.

7. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 6, characterized in that, Extract the centroid coordinates and diameter of particles from the 3D particle structure data to obtain centroid coordinate and diameter data, including: Image recognition technology is used to sequentially perform binarization, watershed segmentation, edge detection, and Pratt circle fitting on the sliced ​​image to obtain centroid coordinates and diameter data; watershed segmentation is used to separate overlapping particles, and edge detection is used to extract particle contours.

8. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 6, characterized in that, The grayscale adjustment processing of the sliced ​​image includes: A grayscale transition band is superimposed on the outer edge of the small ball; By performing multiplicative attenuation on the pixels at the edge of the transition zone using a local annular mask, the grayscale value is reduced from a high value in the core region of the particle to a low value in the pore region.

9. The 3D printing slice generation method for small-diameter, large-scale particle packing structures as described in claim 6, characterized in that, The sliced ​​image sequence format is PNG or TIFF, and supports 8-bit / 16-bit grayscale.

Images