A method and system for controlling the shape of 3D printed parts based on support structure morphology compensation

Abstract

This invention discloses a method and system for controlling the morphology of 3D printed parts based on support structure morphology compensation, belonging to the field of additive manufacturing technology. It includes: processing the target model to be printed to generate a model considering the morphology of the support structure and the wetting characteristics of the slurry; determining the printing direction of the model to be printed and the interface positions of different slurries during multi-material printing, with the interface positions perpendicular to the printing direction; sequentially printing the corresponding parts of different slurries according to the determined printing direction and interface positions; cleaning the reference plane of the printed parts to remove residual material when changing slurries; and curing the printed model, removing the support structure, cleaning, and performing overall curing to obtain the final product. This invention achieves liquid shaping solely through a modified support structure, saving printing time and mechanical costs. Through integrated support morphology optimization, it achieves precise control of the liquid resin morphology without the need for any additional external devices.

Description

Technical Field

[0001] This invention relates to the field of additive manufacturing technology, and more specifically to a method and system for controlling the shape of 3D printed parts based on support structure morphology compensation. Background Technology

[0002] 3D printing technology is rapidly developing. While DLP (Digital Light Processing) printing offers higher precision and speed compared to other printing technologies, its single-material printing limitation restricts its potential. To address this issue, existing patents, inspired by biomimetic structures in nature, propose an integrated DLP method for printing multi-material three-dimensional heterogeneous interfaces (such as complete dentures). At interface intersections (such as gingival papillae), liquid resin needs to be filled and cured in a pre-printed undercut cavity perpendicular to the intersection plane, thus achieving multi-material printing. This method overcomes the limitations of frequent material tank switching in multi-material printing, enabling rapid integrated construction of multi-material three-dimensional heterogeneous interfaces with only one tank switch. However, due to gravity and a contact angle <90° causing the resin surface to be concave, the three-dimensional morphology at the intersection (such as gingival papillae) collapses, preventing the formation of a fully convex (natural) gingival papillae. This limits the method's control over the three-dimensional morphology of the intersecting structure at the interface.

[0003] Multi-material 3D printing has been applied to various mainstream 3D printing technologies. Compared with DLP printing, other multi-material printing technologies typically require multiple nozzles and material supply systems, increasing equipment cost and maintenance complexity. Furthermore, material strength and surface precision are generally inferior to DLP technology, and the available materials are limited. DLP multi-material 3D printing can rapidly print high-resolution, complex structures, is compatible with a variety of materials, and has lower machine costs, making it a promising technology for various engineering fields. Currently, most DLP-based multi-material printing methods achieve this by frequently alternating resin tanks or by using multi-channel feeding combined with ink, removing residual resin from the surface after each layer before replacing it with another resin. This severely limits printing efficiency, leads to cross-contamination between materials, and hinders large-scale application. The published patent (patent number: CN119458910A) enables rapid prototyping of three-dimensional heterogeneous interfaces with only one slurry switch, significantly improving printing efficiency, effectively avoiding contamination during material switching, and eliminating the need for complex printing equipment. However, the liquid resin at the three-dimensional heterogeneous interface induced by the microstructure is affected by gravity and wettability (the contact angle between the liquid resin and the cured part is small) before curing, which will cause the remaining liquid surface to be concave to a certain extent and the three-dimensional shape to be incomplete.

[0004] In the existing technology of DLP-based multi-material heterogeneous interface (such as complete dentures) printing, the liquid resin in the vertical cavity at the interface intersection (such as the gingival papilla) is concave and collapsed after curing due to gravity and the solid-liquid contact angle being less than 90°, making it impossible to accurately control the three-dimensional structure at the heterogeneous interface.

[0005] Therefore, proposing a 3D printed part shape control method and system based on support structure morphology compensation to solve the difficulties of the existing technology is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a method and system for controlling the morphology of 3D printed parts based on support structure morphology compensation. By combining a sub-millimeter-level non-invasive support (suspended outside the cavity at the end) with a hydrophilic fractal microgroove structure, the liquid surface morphology is actively reversed by adhesion-capillary synergistic force, solving the problems of morphological distortion and low production efficiency in printing without adding equipment or process intervention.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A method for controlling the shape of 3D printed parts based on support structure morphology compensation includes the following steps:

[0009] S1. Process the target model to be printed to generate a model to be printed that takes into account the shape of the supporting structure and the wetting characteristics of the slurry.

[0010] S2. Determine the printing direction of the model to be printed and the interface position of different slurries when printing multiple materials. The interface position is perpendicular to the printing direction.

[0011] S3. Print the parts corresponding to different inks in sequence according to the determined printing direction and interface position. When changing inks, clean the reference plane of the printed parts to remove residual material.

[0012] S4. After printing, the model is cured, the supporting structure is removed, and the model is cleaned and cured as a whole to obtain the final product.

[0013] Optionally, the specific content of generating the printable model in S1, taking into account the morphology of the supporting structure and the wetting characteristics of the slurry, is as follows:

[0014] A wetting model based on a deep learning network was established. By collecting three-dimensional data of the unwetting support and cavity as a whole and the slurry adhering inside the cavity after wetting and removal of the support, a wetting prediction dataset for different slurries was constructed.

[0015] Extract local features from STL data before and after immersion;

[0016] The mapping relationship between the shape after impregnation and the shape of the slurry adhesion was extracted;

[0017] Perform regression prediction of the location after infiltration;

[0018] Establish a predictive model for the support pull-out grout;

[0019] Regression prediction of point cloud features is performed on the slurry-impregnated portion of the model to generate a model with the topological micro / nano structure before impregnation.

[0020] Optionally, the specific content for determining the printing direction in S2 is as follows: establish a multi-material target model and determine the printing direction based on the table / interface features.

[0021] Optionally, the specific content of determining the interface position of different slurries in S2 is as follows: Based on the principle of direct printing rather than wetting, determine the interface position of the slurry tank when printing the model. In the distribution area of ​​the second type of slurry, the part above the current interface is the part covered by the second type of slurry wetting, and the part below the current interface is the part directly printed with the second type of slurry.

[0022] Optionally, after S1 and before S3, the process may also include: importing the pre-immersion model into the slicing software, optimizing the orientation to ensure the model is sliced ​​perpendicular to the printing direction, and ensuring that the part corresponding to the first type of slurry is printed first.

[0023] Optionally, in S3, different inks are printed sequentially according to the determined printing direction and interface position. When changing inks, the reference plane of the printed part is cleaned to remove residual material. The specific steps are as follows: the resin tank containing the photocurable resin of the first ink is installed on the equipment, and the printing process is started; when the equipment reaches the recorded reference plane layer number, the system automatically pauses printing; the precision air knife system blows and cleans the grooves / cavities in the printed area of ​​the cured part above the reference plane to remove residual resin; the resin tank is replaced with the photocurable resin of the second ink, the printing process is resumed, and the printing of the second ink is completed.

[0024] Optionally, in S4, the printed model is cured, the support structure is removed, cleaned, and the overall curing process is performed to obtain the final product. The specific steps are as follows: After printing, the liquid resin at the heterogeneous interface is locally cured using a light curing lamp, and all support structures are removed; anhydrous ethanol is used for cleaning to remove residual monomers and support debris, and the model is placed in a light curing machine for overall post-curing for ten minutes. After drying, the final product is obtained.

[0025] Optionally, the 3D printing is photopolymer 3D printing.

[0026] A 3D printed part shape control system based on support structure morphology compensation, executing any of the above-described 3D printed part shape control methods based on support structure morphology compensation, includes a generation model module, a printing direction determination module, a printing slurry module, and a finished product generation module connected in sequence; wherein,

[0027] Model generation module: Processes the target model to be printed to generate a model that takes into account the shape of the supporting structure and the wetting characteristics of the slurry;

[0028] Print direction determination module: determines the printing direction of the model to be printed, and the interface position of different pastes when printing multiple materials. The interface position is perpendicular to the printing direction.

[0029] Printing paste module: Prints the corresponding parts of different pastes in sequence according to the determined printing direction and interface position. When changing the paste, the reference plane of the printed part is cleaned to remove residual material.

[0030] Finished product generation module: performs local curing, removal of supporting structures, cleaning and overall curing of the immersion area to obtain the final product.

[0031] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a method and system for controlling the shape of 3D printed parts based on support structure morphology compensation, the beneficial effects of which are:

[0032] 1) Solving the problem of liquid resin gravity collapse at the three-dimensional heterogeneous interface in DLP multi-material printing through support structure innovation: Traditional supports only suspend solid models, while the support of this invention achieves a qualitative change in function, actively guiding the resin to form a natural outward convex shape, promoting the evolution of the multi-color aesthetic realization path of multi-color DLP printing technology: from the basic presentation of color gradation differences to the precise control of heterogeneous morphology, and finally achieving the aesthetic integrity of the three-dimensional heterogeneous interface transition area;

[0033] 2) Liquid molding is achieved solely through modified support structures, saving printing time and mechanical costs. Through integrated support morphology optimization, precise control of liquid resin morphology is achieved without the need for additional external devices.

[0034] 3) Similar in size to ordinary DLP supports, with dimensions at the sub-millimeter level, it does not require printing micron-level structures; fine structures cannot absorb a sufficient volume of liquid, which can be achieved by conventional DLP printers; disassembly is simple, as it is removed along with the support, and the shape is polished along with the support marks, without the need for additional processes, making it suitable for large-scale promotion and application. Attached Figure Description

[0035] 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 embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0036] Figure 1 A flowchart of a 3D printed part shape control method based on support structure morphology compensation provided by the present invention;

[0037] Figure 2 This is a model diagram of the intelligent support structure at the gingival papilla provided in an embodiment of the present invention;

[0038] Figure 3 This is a physical image of the intelligent support structure at the gingival papilla provided in an embodiment of the present invention;

[0039] Figure 4 This is a detailed photograph of the intelligent support structure at the gingival papilla provided in an embodiment of the present invention.

[0040] Figure 5 A printed image showing the effect of adding a smart support structure to the gingival papilla as provided in an embodiment of the present invention;

[0041] Figure 6 A comparative example of the present invention is shown in the diagram of the gingival papilla without the addition of a smart support structure.

[0042] Figure 7 The image provided is a comparative example of the printing effect at the gingival papilla of this invention. Detailed Implementation

[0043] 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 embodiments of the present invention, and not all embodiments. 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.

[0044] See Figure 1 As shown, this invention discloses a method for controlling the shape of 3D printed parts based on support structure morphology compensation, comprising the following steps:

[0045] S1. Process the target model to be printed to generate a model to be printed that takes into account the shape of the supporting structure and the wetting characteristics of the slurry.

[0046] S2. Determine the printing direction of the model to be printed and the interface position of different slurries when printing multiple materials. The interface position is perpendicular to the printing direction.

[0047] S3. Print the parts corresponding to different inks in sequence according to the determined printing direction and interface position. When changing inks, clean the reference plane of the printed parts to remove residual material.

[0048] S4. After printing, the model is cured, the supporting structure is removed, and the model is cleaned and cured as a whole to obtain the final product.

[0049] Furthermore, the specific details of generating the printable model in S1, taking into account the morphology of the supporting structure and the wetting characteristics of the slurry, are as follows:

[0050] A wetting model based on a deep learning network was established. By collecting three-dimensional data of the unwetting support and cavity as a whole and the slurry adhering inside the cavity after wetting and removal of the support, a wetting prediction dataset for different slurries was constructed.

[0051] Extract local features from STL data before and after immersion;

[0052] The mapping relationship between the shape after impregnation and the shape of the slurry adhesion was extracted;

[0053] Perform regression prediction of the location after infiltration;

[0054] Establish a predictive model for the support pull-out grout;

[0055] Regression prediction of point cloud features is performed on the slurry-impregnated portion of the model to generate a model with the topological micro / nano structure before impregnation.

[0056] Furthermore, the specific steps for determining the printing direction in S2 are as follows: establish a multi-material target model and determine the printing direction based on the table / interface characteristics.

[0057] Furthermore, the specific details of determining the interface position of different slurries in S2 are as follows: based on the principle of direct printing rather than wetting, the interface position of the slurry tank is determined when printing the model. In the distribution area of ​​the second type of slurry, the part above the current interface is the part covered by the wetting of the second type of slurry, and the part below the current interface is the part directly printed with the second type of slurry.

[0058] Furthermore, after S1 and before S3, the process includes: importing the pre-immersion model into the slicing software, optimizing the placement posture to ensure the model is sliced ​​perpendicular to the printing direction, and ensuring that the part corresponding to the first type of slurry is printed first.

[0059] Furthermore, in S3, different slurries are printed sequentially according to the determined printing direction and interface position. When changing slurries, the reference plane of the printed part is cleaned to remove residual materials. The specific steps are as follows: the resin tank containing the first type of slurry's photocurable resin is installed on the equipment, and the printing process is started; when the equipment reaches the recorded reference plane layer number, the system automatically pauses printing; the precision air knife system blows and cleans the grooves / cavities in the printed area of ​​the cured part above the reference plane to remove residual resin; the resin tank is replaced with the one containing the second type of slurry's photocurable resin, the printing process is resumed, and the printing of the second type of slurry is completed.

[0060] Furthermore, in S4, the printed model undergoes curing, support structure removal, cleaning, and overall curing to obtain the final product. The specific steps are as follows: After printing, the liquid resin at the heterogeneous interface is locally cured using a light curing lamp, and all support structures are removed; anhydrous ethanol is used for cleaning to remove residual monomers and support debris, and the model is placed in a light curing machine for overall post-curing for ten minutes. After drying, the final product is obtained.

[0061] Furthermore, the 3D printing is photopolymerization 3D printing.

[0062] and Figure 1 Corresponding to the method described above, the present invention also provides a 3D printed part morphology control system based on support structure morphology compensation, used for... Figure 1 The specific implementation of the method includes, in sequence, a generation model module, a printing direction determination module, a printing paste module, and a finished product generation module; among them,

[0063] Model generation module: Processes the target model to be printed to generate a model that takes into account the shape of the supporting structure and the wetting characteristics of the slurry;

[0064] Print direction determination module: determines the printing direction of the model to be printed, and the interface position of different pastes when printing multiple materials. The interface position is perpendicular to the printing direction.

[0065] Printing paste module: Prints the corresponding parts of different pastes in sequence according to the determined printing direction and interface position. When changing the paste, the reference plane of the printed part is cleaned to remove residual material.

[0066] Finished product generation module: performs local curing, removal of supporting structures, cleaning and overall curing of the immersion area to obtain the final product.

[0067] In a specific embodiment:

[0068] See Figure 2 The diagram shown is a model of the intelligent support structure at the gingival papilla provided in an embodiment of the present invention; see also... Figure 3The image shown is a physical diagram of the intelligent support structure at the gingival papilla provided in an embodiment of the present invention; see also Figure 4 The image shown is a detailed physical diagram of the intelligent support structure at the gingival papilla provided in an embodiment of the present invention; see also Figure 5 The image shows the printing effect after adding a smart support structure to the gingival papilla according to an embodiment of the present invention. Figure 5 The image shows the effect of grinding after adding intelligent support.

[0069] High-resolution (vertical resolution <10nm) 3D morphological scanning of the gingival papilla region of each model was performed using an optical scanner, obtaining 200 sets of precise support structure parameters paired with actual gingival papilla STL models. A deep learning model was constructed, with the following inputs: target gingival papilla STL model (voxelated representation); outputs: predicted support structure spatial coordinates, geometric configuration, dimensions, and contact point parameters. Training was performed using 170 sets of data, and validation was performed using 30 sets. The optimization objective was to minimize the distance and volume difference between the predicted cavity formed by the support structure and the actual morphology of the printed gingival papilla.

[0070] Model Validation and Reverse Engineering: Three target gingival papilla STL models (from clinical scan data) were selected and input into a trained neural network model to obtain predicted support structure STL data. A new initial STL model for the complete denture was generated. Following the same procedure described above, the supports were printed, removed, and scanned to obtain the actual gingival papilla morphology STL. The average contour matching error between the actual morphology and the target morphology was <70μm, successfully achieving accurate replication of the pre-defined complex gingival papilla morphology.

[0071] 200 complete denture models were designed using Blender software. Each model features a unique support structure in the gingival papilla region, with systematic variations in its spatial position and morphology (cylindrical, shovel-shaped, radial supports, etc.; diameter: 0.2-0.8 mm; contact area: 0.03-0.7 mm²).

[0072] All models were printed using a DLP printer and photosensitive resin. Printing parameters: layer thickness 50μm, exposure time optimized according to the resin manufacturer's recommendations. The models were imported into the Shining slicing software, and the model orientation was adjusted to ensure that the reference plane was strictly parallel to the printing platform. The printing sequence was set: the artificial tooth portion was printed first, and the layer number of the reference plane was accurately recorded after slicing (layer 304 in this example).

[0073] Using a DLP printer, install the resin tank containing the artificial tooth resin. Start printing up to layer 304 (reference plane layer), at which point the system will automatically pause. Raise the printing platform and use a precision air knife to thoroughly clean the surface of the printed structures above the platform (mainly artificial teeth, intelligent support structures, and part of the denture base), as well as the bionic microchannels and gingival papilla cavities, to remove most of the residual artificial tooth resin.

[0074] Replace with a resin tank filled with pink baseplate resin. Continue printing from layer 305 to completion, building the baseplate body.

[0075] After printing, immediately use a UV point light source curing lamp (light intensity: 50mW / cm²) to locally pre-cure the base resin in the microchannels of the exposed gingival papilla area for 4 seconds to prevent flow and deformation.

[0076] Remove all supporting structures and immerse in 95% anhydrous ethanol for ultrasonic cleaning for 5 minutes to remove uncured resin and debris. Place in a matching nitrogen light curing chamber for overall post-curing (wavelength: 385-405nm, intensity: 10mW / cm², time: 10 minutes), and obtain the finished product after drying.

[0077] Comparative example:

[0078] The patient's maxillary data, scanned by a scanner, was imported into dental design software to generate and design a corresponding complete denture model.

[0079] Point cloud data of the complete denture model were input into the corresponding STL 3D database before and after impregnation. Regression prediction was performed on the 3D data of the denture before impregnation to establish an STL prediction model. In this case, the hydrophilic structure corresponding to the personalized and full morphological features of the final gingival papilla is a concave structure with a general shape of a slender isosceles triangle between the two artificial teeth, which imitates the spatial structure occupied by the real gingival papilla. The specific spatial distribution is personalized through deep learning.

[0080] Import the maxillary denture model into the modeling software, and add a plane as a horizontal plane at the junction of the white artificial tooth and red base on the labial side, so that the bottom of the concave structure is as close to the horizontal plane as possible.

[0081] Import the model into the slicing software, adjust the model so that the plane is parallel to the bottom of the resin tank, and print the artificial tooth part first. When adding supports, avoid adding them in the grooves. Record the number of printing layers required to print to the plane.

[0082] Pour in the artificial dental pulp and start printing. Pause printing at the designed plane, use an air gun to dry the white resin in the grooves, replace it with the pulp required for the base, and continue printing. At this time, the base pulp is immersed and rises in the preset biomimetic superstructure.

[0083] After printing, wipe away any excess paste except for the liquid in the grooves, and place the product in a UV curing machine for curing to ensure complete curing of the paste within the structure.

[0084] The entire denture is cleaned with ethanol, and then adjusted and ground to complete the fabrication of the maxillary complete denture.

[0085] See Figure 6The diagram shown is a comparative example of the gingival papilla without the addition of the intelligent support structure provided by this invention; see also Figure 7 The image shown is a comparative example of the printing effect at the gingival papilla provided by the present invention. Figure 7 This is a rendering without intelligent support.

[0086] The main differences between the examples and the comparative examples are as follows:

[0087] Comparative example: The focus is on the biomimetic structural design at the red-white boundary (such as the wedges and grooves of a pitcher plant) and the material and color changes at the gingival papilla by pausing and changing the ink during a single printing process.

[0088] Example: Based on the biomimetic structure built by printing the structural body to achieve the differentiation of texture and color at the gingival papilla, the focus is on adding intelligent support. Deep learning is used to optimize the support structure parameters to achieve more precise control of the gingival papilla morphology. The process includes a more detailed verification and design process, and the support is removed as part of the post-processing.

[0089] The specific analysis is as follows:

[0090] By comparison Figure 5 and Figure 7 The two printed effect diagrams show that, compared with the comparative example, the invention's intelligent support achieves a qualitative leap in function. By utilizing the spatial position and shape of the support, the resin is actively pulled from a gravity-dominated concave state to form a physiologically convex shape. This solves the problem of the collapse of liquid resin at the three-dimensional heterogeneous interface (gingival papilla) caused by gravity and interfacial tension, achieving a breakthrough innovation in the traditional support function. It also solves the problem of poor fullness of liquid resin at the three-dimensional heterogeneous interface (gingival papilla), further improving the three-dimensional shape and aesthetic effect of the printed parts.

[0091] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0092] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the shape of 3D printed parts based on support structure morphology compensation, characterized in that, Includes the following steps: S1. Process the target model to be printed to generate a model to be printed that takes into account the shape of the supporting structure and the wetting characteristics of the slurry. S2. Determine the printing direction of the model to be printed and the interface position of different slurries when printing multiple materials. The interface position is perpendicular to the printing direction. S3. Print the parts corresponding to different inks in sequence according to the determined printing direction and interface position. When changing inks, clean the reference plane of the printed parts to remove residual material. S4. After printing, the model is cured, the supporting structure is removed, it is cleaned, and the whole thing is cured to obtain the final product. The specific content of generating the printable model in S1, taking into account the supporting structure morphology and slurry wetting characteristics, is as follows: A wetting model based on a deep learning network was established. By collecting three-dimensional data of the unwetting support and cavity as a whole and the slurry adhering inside the cavity after wetting and removal of the support, a wetting prediction dataset for different slurries was constructed. Extract local features from STL data before and after immersion; The mapping relationship between the shape after impregnation and the shape of the slurry adhesion was extracted; Perform regression prediction of the location after infiltration; Establish a predictive model for the support pull-out grout; Regression prediction of point cloud features is performed on the slurry-impregnated portion of the model to generate a model with the topological micro / nano structure before impregnation.

2. The method for controlling the shape of 3D printed parts based on support structure morphology compensation according to claim 1, characterized in that, The specific steps for determining the printing direction in S2 are as follows: establish a multi-material target model and determine the printing direction based on the table / interface characteristics.

3. The method for controlling the shape of 3D printed parts based on support structure morphology compensation according to claim 1, characterized in that, The specific content of determining the interface position of different slurries in S2 is as follows: Based on the principle of direct printing rather than wetting, the interface position of the slurry tank is determined when printing the model. In the distribution area of ​​the second type of slurry, the part above the current interface is the part covered by the second type of slurry wetting, and the part below the current interface is the part directly printed with the second type of slurry.

4. The method for controlling the shape of 3D printed parts based on support structure morphology compensation according to claim 1, characterized in that, The process after S1 and before S3 includes: importing the pre-immersion model into the slicing software, optimizing the orientation to slice the model perpendicular to the printing direction, and ensuring that the part corresponding to the first type of slurry is printed first.

5. The method for controlling the shape of 3D printed parts based on support structure morphology compensation according to claim 1, characterized in that, In S3, different inks are printed sequentially according to the determined printing direction and interface position. When changing inks, the reference plane of the printed part is cleaned to remove residual material. The specific steps are as follows: the resin tank containing the first ink's photocurable resin is installed on the equipment, and the printing process is started; when the equipment reaches the recorded reference plane layer number, the system automatically pauses printing; the precision air knife system blows and cleans the grooves / cavities in the printed area of ​​the cured part above the reference plane to remove residual resin; the resin tank is replaced with the one containing the second ink's photocurable resin, the printing process is resumed, and the printing of the second ink is completed.

6. The method for controlling the shape of 3D printed parts based on support structure morphology compensation according to claim 1, characterized in that, In S4, the printed model undergoes curing, support structure removal, cleaning, and overall curing to obtain the final product. The specific steps are as follows: After printing, the liquid resin at the heterogeneous interface is locally cured using a light curing lamp, and all support structures are removed. Anhydrous ethanol is used for cleaning to remove residual monomers and support debris. The model is then placed in a light curing machine for overall curing for ten minutes and dried to obtain the final product.

7. The method for controlling the shape of 3D printed parts based on support structure morphology compensation according to claim 1, characterized in that, The 3D printing is photopolymerization 3D printing.

8. A 3D printed part shape control system based on support structure morphology compensation, characterized in that... A 3D printed part shape control method based on support structure morphology compensation as described in any one of claims 1-7 includes a generation model module, a printing direction determination module, a printing paste module, and a finished product generation module connected in sequence; wherein, Model generation module: Processes the target model to be printed to generate a model that takes into account the shape of the supporting structure and the wetting characteristics of the slurry; Print direction determination module: determines the printing direction of the model to be printed, and the interface position of different pastes when printing multiple materials. The interface position is perpendicular to the printing direction. Printing paste module: Prints the corresponding parts of different pastes in sequence according to the determined printing direction and interface position. When changing the paste, the reference plane of the printed part is cleaned to remove residual material. Finished product generation module: performs local curing, removal of supporting structures, cleaning and overall curing of the immersion area to obtain the final product.

Images