Three-dimensional printing method and device and three-dimensional printing data processing method and device

Abstract

The invention provides a three-dimensional printing method and device and a three-dimensional printing data processing method and device, and relates to the technical field of three-dimensional printing. The three-dimensional printing data processing method for digital light processing printing comprises the steps that three-dimensional data of an object to be printed are obtained, and the three-dimensional data comprise the positions of interfaces of different printing materials needed by the object to be printed; a diffusion structure is generated at the position of the interface, the diffusion structure is used for diffusing the printing material used later at the position of the printing interface in the diffusion structure, and the printing material corresponding to the diffusion structure is the printing material used first at the position of the printing interface; and generating three-dimensional printing data according to the three-dimensional data and the diffusion structure.

Description

Technical Field

[0001] The present disclosure relates to the technical field of three-dimensional printing, and in particular to a three-dimensional printing method and device, and a three-dimensional printing data processing method and device. Background Art

[0002] Multi-material 3D printing technology has attracted much attention because it can produce parts with diverse compositions and complex structures. It can be achieved using mainstream technologies such as FDM (Fused Deposition Modeling), inkjet printing, and DLP (Digital Light Processing). Compared with other technologies, DLP multi-material printing has shown great potential in various engineering fields with its high resolution, wide material compatibility and low cost.

[0003] In multi-material 3D printing, the printing materials need to be replaced frequently. For example, in FDM printing, multiple print heads are used, each print head uses a printing material, and when printing a print layer including multiple materials, the print heads work alternately. For another example, when DLP multi-material printing is used, the printing materials need to be frequently replaced for the print layer including multiple printing materials. Summary of the invention

[0004] One purpose of the present disclosure is to improve the efficiency of multi-material printing and reduce printing costs.

[0005] According to one aspect of some embodiments of the present disclosure, a three-dimensional printing data processing method for digital light processing printing is proposed, comprising: acquiring three-dimensional data of an object to be printed, wherein the three-dimensional data includes the position of an interface of different printing materials required for the object to be printed; generating a diffusion structure at the position of the interface, wherein the diffusion structure is used to cause a printing material used later at the position of the printing interface to diffuse in the diffusion structure, and the printing material corresponding to the diffusion structure is a printing material used earlier at the position of the printing interface; generating three-dimensional printing data based on the three-dimensional data and the diffusion structure.

[0006] In some embodiments, the interface intersects an interface between printed layers.

[0007] In some embodiments, the diffusion structure includes one or more of a bionic wedge-angle edge structure, a capillary groove structure, a capillary protrusion structure, and a capillary hole structure.

[0008] In some embodiments, generating a diffusion structure at the interface includes: generating the diffusion structure by training a machine learning network model based on three-dimensional data, wherein the machine learning network model is obtained by training the machine learning network using preset diffusion structure sample data and corresponding material diffusion result data.

[0009] In some embodiments, the three-dimensional printing data processing method also includes: collecting first three-dimensional morphological data of a preset diffusion structure, and obtaining second three-dimensional morphological data after the preset diffusion structure is infiltrated in the printing material; extracting point cloud features according to the first three-dimensional morphological data and the second three-dimensional morphological data, respectively, and obtaining a mapping relationship between the point cloud features of the first three-dimensional morphological data and the point cloud features of the second three-dimensional morphological data; according to the mapping relationship, training the constructed machine learning network to obtain a machine learning network model.

[0010] In some embodiments, obtaining three-dimensional data of an object to be printed includes: determining a printing direction according to the three-dimensional shape of the object to be printed; determining a position of a layered interface for material replacement according to the three-dimensional shape and the printing direction to reduce the number of layered interfaces for material replacement, wherein at least one layered interface intersects with an extended surface of the interface.

[0011] In some embodiments, generating three-dimensional printing data based on three-dimensional data and diffusion structure includes: determining the three-dimensional data and diffusion structure of the printing material used first at the position of the printing interface in accordance with the printing order as the first printing data; determining the three-dimensional data of the printing material used later at the position of the printing interface in accordance with the printing order as the later printing data, wherein the number of first printing data and the number of later printing data in the three-dimensional printing data are respectively the same as the number of times the material is replaced, and when the number of times the material is replaced is greater than 1, the later printing data corresponding to the previous interface is the first printing data corresponding to the later interface in accordance with the printing order.

[0012] According to one aspect of some embodiments of the present disclosure, a three-dimensional printing method is proposed, comprising: a digital light processing three-dimensional printer acquires three-dimensional printing data, wherein the three-dimensional printing data is generated according to any one of the three-dimensional printing data processing methods for digital light processing printing described above; using printing materials determined according to a printing order, and performing a photocuring operation according to the three-dimensional printing data corresponding to the printing materials, until printing reaches a corresponding layered interface of material replacement or printing is completed, wherein, if printing reaches a corresponding layered interface of material replacement, using printing materials replaced according to the printing order, and performing a photocuring operation according to the three-dimensional printing data corresponding to the replaced printing materials, until printing reaches a corresponding layered interface of material replacement or printing is completed.

[0013] In some embodiments, the three-dimensional printing method further includes: after the digital light processing three-dimensional printer completes printing, removing excess printing material from the surface of the printed object and performing secondary curing on the printed object.

[0014] According to one aspect of some embodiments of the present disclosure, a three-dimensional printing data processing device for digital light processing printing is proposed, comprising: a three-dimensional data acquisition unit, configured to acquire three-dimensional data of an object to be printed, wherein the three-dimensional data includes the position of an interface between different printing materials required for the object to be printed; a diffusion structure generation unit, configured to generate a diffusion structure at the position of the interface, wherein the diffusion structure is used to cause a printing material used later at the position of the printing interface to diffuse in the diffusion structure, and the printing material corresponding to the diffusion structure is a printing material used earlier at the position of the printing interface; and a printing data generation unit, configured to generate three-dimensional printing data based on the three-dimensional data and the diffusion structure.

[0015] In some embodiments, the three-dimensional printing data processing device also includes a model training unit, which is configured to: collect first three-dimensional morphological data of a preset diffusion structure, and obtain second three-dimensional morphological data after the preset diffusion structure is infiltrated in the printing material; extract point cloud features according to the first three-dimensional morphological data and the second three-dimensional morphological data, respectively, and obtain a mapping relationship between the point cloud features of the first three-dimensional morphological data and the point cloud features of the second three-dimensional morphological data; according to the mapping relationship, train the constructed machine learning network, wherein the diffusion structure generation unit is configured to generate a diffusion structure according to the three-dimensional data through the machine learning network model obtained by training.

[0016] According to one aspect of some embodiments of the present disclosure, a three-dimensional printing data processing device for digital light processing printing is proposed, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute any one of the above three-dimensional printing data processing methods for DLP printing based on instructions stored in the memory.

[0017] According to one aspect of some embodiments of the present disclosure, a computer-readable storage medium is provided, on which computer instructions are stored, and when the instructions are executed by a processor, any one of the above three-dimensional printing data processing methods for DLP printing is implemented.

[0018] According to one aspect of some embodiments of the present disclosure, a computer program product is provided, including a computer program or instructions, which implement any one of the above three-dimensional printing data processing methods for DLP printing when executed by a processor.

[0019] According to one aspect of some embodiments of the present disclosure, a three-dimensional printing device is proposed, including: a digital light processing three-dimensional printer, configured to: obtain three-dimensional printing data, wherein the three-dimensional printing data is generated according to any one of the three-dimensional printing data processing methods for DLP printing described above; use printing materials determined according to a printing order, and perform a photocuring operation according to the three-dimensional printing data corresponding to the printing materials, until printing reaches a corresponding layered interface of material replacement or printing is completed, wherein, if printing reaches a corresponding layered interface of material replacement, use printing materials replaced according to the printing order, and perform a photocuring operation according to the three-dimensional printing data corresponding to the replaced printing materials, until printing reaches a corresponding layered interface of material replacement or printing is completed.

[0020] In some embodiments, the 3D printing device further includes: a secondary processing device configured to remove excess printing material from the surface of the printed object and perform secondary curing on the printed object after the digital light processing 3D printer completes printing. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide further understanding of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute improper limitations on the present disclosure.

[0022] Figure 1 The present invention is a flowchart of some embodiments of the three-dimensional printing data processing method for digital light processing printing disclosed in the present invention.

[0023] Figure 2 It is a schematic diagram of some embodiments of printing objects and diffusion structure diagrams in the three-dimensional printing data processing method for digital light processing printing disclosed in the present invention.

[0024] Figure 3 It is a schematic diagram of some embodiments of the model building method in the three-dimensional printing data processing method for digital light processing printing disclosed in the present invention.

[0025] Figure 4 The following are flowcharts of some embodiments of the 3D printing data processing method disclosed in the present invention.

[0026] Figure 5 Schematic diagrams of some embodiments of the three-dimensional printing data processing device for digital light processing printing disclosed in the present invention.

[0027] Figure 6 Schematic diagrams of some embodiments of the three-dimensional printing data processing device for digital light processing printing disclosed in the present invention.

[0028] Figure 7 Schematic diagrams of some embodiments of the three-dimensional printing data processing device for digital light processing printing disclosed in the present invention.

[0029] Figure 8 Schematic diagrams of some embodiments of the 3D printing device disclosed herein.

[0030] Fig. 9 Schematic diagrams of some embodiments of the printing results and diffusion structures of the three-dimensional printing device disclosed in the present invention. DETAILED DESCRIPTION

[0031] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments.

[0032] In DLP multi-material printing, due to the use of different printing materials, the material tank (such as resin tank) needs to be replaced during the printing process, or it is necessary to combine direct ink (DIW) for multi-channel feeding. Especially when the printing structure is relatively irregular, different types of materials need to be printed on the same layer, and a large number of layers need to be printed with different types of materials, the resin tank needs to be replaced frequently, which not only requires complex modification of the printer, limiting its large-scale application, but also has low printing efficiency. In addition, frequent removal of residual slurry on the surface of the printed part will inevitably cause slurry waste and cross contamination, as well as damage to the printed part structure.

[0033] Due to the above-mentioned problems, DLP printing technology in related technologies is more applied to printing of single materials. Frequent replacement of slurry tanks or adding complex feeding systems, complicated processes, and varying degrees of contamination of printing materials have hindered the development of DLP multi-material printing.

[0034] In response to the above problems, the present disclosure proposes a three-dimensional printing data processing method, device, and three-dimensional printing method and equipment for DLP printing. By generating a diffusion structure at the interface of different materials, the subsequent printing material can diffuse in the diffusion structure, thereby reducing the difficulty of printing at the interface and the number of times the printing material needs to be replaced. This improves printing efficiency while reducing material waste, reducing the probability of cross contamination, and reducing printing costs.

[0035] The flowcharts of some embodiments of the three-dimensional printing data processing method for digital light processing printing disclosed in the present invention are as follows Figure 1 shown.

[0036] In step S12, three-dimensional data of the object to be printed is obtained, wherein the three-dimensional data includes the position of the interface of different printing materials required for the object to be printed. The object to be printed needs to be printed with at least two materials, and the materials may differ in one or more of color, density, composition, etc.

[0037] In some embodiments, at least a portion of the interface intersects with the interface between the printed layers, that is, at least a portion of the printed layers need to be printed with two materials for each layer. When such an object to be printed is printed using the printing method in the related art, due to the limitations of light penetration and curing depth, the printing material needs to be replaced almost every time each layer is printed, which has a great impact on printing efficiency and cost. The method disclosed in the present invention can effectively deal with this situation, reduce the number of times the printing material is replaced, and can improve the strength of the combination between different materials and improve the printing quality.

[0038] In some embodiments, after determining the three-dimensional shape of the object to be printed, the interface position of the slurry tank to be replaced when printing the model is determined based on the principle of printing as directly as possible and reducing the establishment of diffusion structures, and the printing direction is determined based on the position of the replaced layered interface so that the interface is perpendicular to the printing direction. In some embodiments, the position of the layered interface for material replacement can be determined based on the three-dimensional shape of different material interfaces to reduce the area of ​​the diffusion structure of the material replacement and the number of layered interfaces, wherein at least one layered interface intersects with the extended surface of the interface; the printing direction is determined based on the position of the layered interface for material replacement of the object to be printed. Figure 2 Taking the maxillary and mandibular printed models shown in as an example, the teeth are white and the gums are red. According to the distribution of the required printing materials and the convenience of object placement, you can choose to print the teeth or gums first, and the printing direction is perpendicular to the upper palate, from the teeth to the gums, or from the gums to the teeth. The layered interface for material replacement is the interface where the printing position farthest from the printing inspiration position of the first material is completely printed. For example, when printing from the teeth to the gums, the layered interface is the interface where the point closest to the root of the tooth is located.

[0039] In step S14, a diffusion structure is generated at the position of the interface. The diffusion structure is used to diffuse the printed material used later at the printing interface position in the diffusion structure, and the printed material corresponding to the diffusion structure is the printed material used earlier at the printing interface position. The "early printed material" mentioned in the present disclosure refers to the printed material used before the printed material is replaced at the printing interface position; similarly, the "later printed material" refers to the printed material used after the printed material is replaced at the printing interface position. The "early printed data" mentioned in the present disclosure refers to the data printed using the above-mentioned "early printed material", and the "later printed data" refers to the data printed using the above-mentioned "later printed material".

[0040] The printing material is a liquid material. Under the influence of capillary phenomena, the liquid will flow along the surface inside the diffusion structure, infiltrate and rise in the pores of the diffusion structure, and expand the adhesion range of the printing material on the printed object.

[0041] In some embodiments, the diffusion structure includes a biomimetic wedge-angle edge structure (e.g. Figure 2 One or more of the following: the wedge-angle edge structure of the pitcher plant shown in the structure in the middle and lower picture), the capillary groove structure, the capillary protrusion structure, and the capillary hole structure. After testing, different diffusion structures can achieve different liquid diffusion effects in DLP printing.

[0042] In some embodiments, the diffusion structure can be generated using a pre-trained machine learning network model. The machine learning network model generates a structure that is more suitable for subsequent material diffusion based on the position and morphology of the collected interface, thereby optimizing the material diffusion effect and improving the printing quality.

[0043] In some embodiments, the above-mentioned machine learning network model is generated by training a pre-built machine learning network using preset diffusion structure sample data and corresponding material diffusion result data, so that the machine learning network model has the ability to determine a more suitable subsequent material diffusion structure, thereby improving the matching degree between the generated diffusion structure and the printed object.

[0044] In step S16, three-dimensional printing data is generated according to the three-dimensional data and the diffusion structure.

[0045] In some embodiments, the three-dimensional data and diffusion structure of the printing material used first at the position of the printing interface can be determined according to the printing order as the first printing data; and the three-dimensional data of the printing material used later at the position of the printing interface can be determined according to the printing order as the later printing data. The number of the first printing data and the number of the later printing data in the above three-dimensional printing data are respectively the same as the number of material changes. When the number of material changes is greater than 1, according to the printing order, the later printing data corresponding to the previous interface is the first printing data corresponding to the next interface.

[0046] For example, if the print object is Figure 2 As shown in , the number of printing materials used is 2, the number of interfaces is 1, and printing is performed in the direction from the teeth to the gums. The first printed material is white material, and the second printed material is pink material. The first printed data generated is the printing data of the tooth part using white material, and the interface with the pink material is the diffusion structure data to diffuse the pink material; the second printed data generated is the printing data of the gum part using pink material.

[0047] For another example, when there are two interfaces and there is a third material (which may be the same as the first material), the prior print data for the second interface in the printing order is the subsequent print data for the first interface, wherein the subsequent print data for the first interface records the data of the diffusion structure at the second interface.

[0048] In some embodiments, for each interface, the structure of the space occupied by the diffusion structure and its pores does not need to be considered in the subsequent printing data, that is, it does not need to be matched with the shape of the corresponding previous printing data. Through this method, while using the diffusion of liquid to fill the pores and achieve close combination of the previous and subsequent materials, the complexity of the subsequent printing data is reduced and the printing efficiency is improved.

[0049] Based on the method in the above embodiment of the present disclosure, a diffusion structure is generated at the interface of different materials, so that the subsequent printed material can diffuse in the diffusion structure, which significantly improves the printing efficiency, reduces material waste, reduces the probability of cross contamination, and reduces printing costs.

[0050] In some embodiments, Figure 1 As shown, the three-dimensional printing data processing method for digital light processing printing disclosed in the present invention also includes step S11.

[0051] In step S11, the machine learning network constructed by collecting sample data training is obtained to obtain the machine learning network model used in the subsequent step S14. In some embodiments, the machine learning model can be specifically a neural network model based on deep learning.

[0052] In some embodiments, a plurality of diffusion structures may be preset, such as any one of the above-mentioned structures, and a three-dimensional form of a printed object including the diffusion structure is generated as first three-dimensional form data, and an object having the form is experimentally printed, and the printed object is soaked in a subsequent printing material to obtain second three-dimensional form data after being soaked in the printing material. Further, point cloud features are extracted from the first three-dimensional form data and the second three-dimensional form data, respectively, and a mapping relationship between the point cloud features of the first three-dimensional form data and the point cloud features of the second three-dimensional form data is obtained, and then the constructed machine learning network is trained based on the mapping relationship.

[0053] Through this method, the model can be trained through real test results, so that the diffusion structure generated by the model can conform to the actual diffusion situation, thereby improving the reliability and printing quality of the diffusion structure.

[0054] For example, schematic diagrams of some embodiments of the model building method in the three-dimensional printing data processing method for digital light processing printing disclosed in the present invention are as follows: Figure 3As shown in , a wetting model based on a deep learning network is established in this process. The main steps include: 1. By collecting the three-dimensional model data of the preset surface / interface structure of the un-wetted slurry and the corresponding three-dimensional data of the slurry wetting morphology, a wetting prediction data set of different slurries on the preset surface / interface structure is constructed. 2. Local feature extraction of point clouds before and after infiltration, using kernel point convolution of size to construct a feature pyramid to extract the structural point cloud features before and after infiltration. 3. Alignment of two-way point cloud features to extract the mapping relationship between the shape after infiltration and the three-dimensional morphology of slurry attachment. 4. Regression prediction of the point cloud position after infiltration, using the point cloud position regression generator to regress the denture point cloud features before infiltration to generate the denture point cloud after infiltration, and calculate the loss with the corresponding real point cloud features, so that the generated point cloud after infiltration is closer to the features of the real point cloud. 5. Establishment of slurry infiltration point cloud prediction model.

[0055] The flowcharts of some embodiments of the 3D printing data processing method disclosed in the present invention are as follows: Figure 4 As shown, after generating three-dimensional printing data based on the method in any one of the above embodiments, a printing operation is performed based on the three-dimensional printing data. The printing device includes a DLP three-dimensional printer.

[0056] In step S41, the DLP 3D printer acquires 3D printing data. The 3D printing data is generated according to any one of the 3D printing data processing methods for digital light processing printing described above. In some embodiments, the 3D printing data can be sent to the DLP 3D printer using wired or wireless data transmission.

[0057] In step S42, the DLP three-dimensional printer uses the printing material determined according to the printing order and performs a light curing operation according to the three-dimensional printing data corresponding to the printing material.

[0058] In step S43, it is determined whether the printer has completed printing all the three-dimensional printing data. If all the three-dimensional printing data have been processed, the printing is completed, otherwise, step S44 is executed.

[0059] In step S44, it is determined whether the corresponding layered interface of material replacement is printed. If the layered interface of material replacement is printed, step S45 is executed; otherwise, step S42 is fed back.

[0060] In step S45, the printing material replaced according to the printing sequence is used, and a light curing operation is performed according to the three-dimensional printing data corresponding to the replaced printing material, and then step S43 is performed.

[0061] In some embodiments, in step S45, the object on which the previous material has been printed can be taken out first, and the first slurry remaining in the preset multi-scale structure can be removed by wiping, blowing, etc., and then the resin tank containing the printing material can be replaced to continue the printing operation, thereby avoiding the influence of the previous printing material liquid attached to the object on the printing effect of the subsequent printing material, and avoiding contamination of the subsequent printing material, thereby further improving the printing quality.

[0062] Based on the method in the embodiment shown above, a DLP three-dimensional printer can be used to print objects that require multiple materials, wherein the interface between different materials has a diffusion structure, and the subsequent printed material can diffuse in the diffusion structure, thereby reducing the difficulty of printing the interface. While improving printing efficiency, it reduces material waste, reduces the probability of cross contamination, and reduces printing costs.

[0063] In some embodiments, Figure 4 As shown in, in the above step S43, if it is determined that printing is completed, step S46 can also be executed.

[0064] In step S46, after the digital light processing 3D printer completes printing, excess printing material on the surface of the printed object is removed, and the printed object is subjected to secondary curing. In some embodiments, the support can be removed, excess printing material on the surface of the printed object can be wiped off, uncured material in the structure can be post-cured, and then rinsed with a cleaning agent, dried, and printing is completed to obtain the desired multi-material structural characteristic object.

[0065] Based on the method in the above embodiment, the object can be cured for a second time to avoid the influence of insufficient curing of the post-printing material inside the diffusion structure on the structural stability of the object, thereby further improving the quality of the printed object.

[0066] Schematic diagrams of some embodiments of the three-dimensional printing data processing device for digital light processing printing disclosed in the present invention are as follows Figure 5 shown.

[0067] The 3D data acquisition unit 511 can acquire 3D data of the object to be printed, wherein the 3D data includes the position of the interface of different printing materials required for the object to be printed. In some embodiments, the 3D data acquisition unit 511 can execute the method in any embodiment of step S12 above.

[0068] The diffusion structure generating unit 512 can generate a diffusion structure at the interface position, wherein the diffusion structure is used to diffuse the printing material used later at the printing interface position in the diffusion structure, and the printing material corresponding to the diffusion structure is the printing material used earlier at the printing interface position. In some embodiments, the diffusion structure generating unit 512 can execute the method in any embodiment of the above step S14.

[0069] The print data generation unit 513 can generate three-dimensional print data according to the three-dimensional data and the diffusion structure. In some embodiments, the print data generation unit 513 can execute the method in any embodiment of the above step S16.

[0070] Based on the device in the above-mentioned embodiment of the present disclosure, a diffusion structure is generated at the interface of different materials, so that the subsequent printed material can diffuse in the diffusion structure, thereby reducing the difficulty of printing the interface and the number of times the printing material needs to be replaced, thereby improving printing efficiency while reducing material waste, reducing the probability of cross contamination, and reducing printing costs.

[0071] In some embodiments, Figure 5 As shown, the three-dimensional printing data processing device for digital light processing printing also includes a model training unit 514, which can collect sample data to train the machine learning network built to obtain the machine learning model used by the diffusion structure generation unit 512. In some embodiments, the model training unit 514 can execute the method in any embodiment of step S11 above.

[0072] Based on the device in the above-mentioned embodiment of the present disclosure, the model can be trained through real test results, so that the diffusion structure generated by the model can conform to the actual diffusion situation, thereby improving the reliability and printing quality of the diffusion structure.

[0073] The structural schematic diagram of an embodiment of the three-dimensional printing data processing device for digital light processing printing disclosed in the present invention is as follows: Figure 6 As shown. The three-dimensional printing data processing device for digital light processing printing includes a memory 601 and a processor 602. Wherein: the memory 601 can be a disk, a flash memory or any other non-volatile storage medium. The memory is used to store the instructions in the corresponding embodiment of the three-dimensional printing data processing method for digital light processing printing described above. The processor 602 is coupled to the memory 601 and can be implemented as one or more integrated circuits, such as a microprocessor or a microcontroller. The processor 602 is used to execute the instructions stored in the memory, which can improve the efficiency of multi-material printing and reduce printing costs.

[0074] In one embodiment, it is also possible to Figure 7 As shown, the three-dimensional printing data processing device 700 for digital light processing printing includes a memory 701 and a processor 702. The processor 702 is coupled to the memory 701 via a BUS bus 703. The three-dimensional printing data processing device 700 for digital light processing printing can also be connected to an external storage device 705 via a storage interface 704 to call external data, and can also be connected to a network or another computer system (not shown) via a network interface 706. No detailed description will be given here.

[0075] In this embodiment, by storing data instructions in a memory and processing the instructions through a processor, the efficiency of multi-material printing can be improved and the printing cost can be reduced.

[0076] In another embodiment, a computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the three-dimensional printing data processing method for digital light processing printing. It should be understood by those skilled in the art that the embodiments of the present disclosure can be provided as methods, devices, or computer program products. Therefore, the present disclosure can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present disclosure can take the form of a computer program product implemented on one or more computer-usable non-transitory storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0077] Schematic diagrams of some embodiments of the three-dimensional printing device disclosed in the present invention are as follows Figure 8 shown.

[0078] In some embodiments, the 3D printing device is a digital light processing 3D printer 81 .

[0079] The digital light processing 3D printer 81 can obtain 3D printing data, wherein the 3D printing data is generated according to any one of the 3D printing data processing methods for digital light processing printing described above. In some embodiments, the digital light processing 3D printer 81 can obtain the 3D printing data generated by the 3D printing data processing device for digital light processing printing by wired or wireless data transmission.

[0080] Furthermore, the digital light processing 3D printer 81 can also use printing materials determined according to the printing order, and perform photocuring operations according to the 3D printing data corresponding to the printing materials until printing to the corresponding layered interface of material change or printing is completed. Among them, if printing to the corresponding layered interface of material change, the printing materials replaced according to the printing order are used, and the photocuring operation is performed according to the 3D printing data corresponding to the replaced printing materials until printing to the corresponding layered interface of material change or printing is completed.

[0081] In some embodiments, the digital light processing 3D printer 81 is capable of executing the above Figure 4 The method in any of the embodiments shown in steps S41-S45.

[0082] Such 3D printing equipment can use a DLP 3D printer to print objects that require multiple materials. The interface between different materials is equipped with a diffusion structure, and the subsequent printed material can diffuse in the diffusion structure, which reduces the difficulty of printing the interface and the number of times the printing material needs to be replaced. This improves printing efficiency while reducing material waste, reducing the probability of cross contamination, and reducing printing costs.

[0083] In some embodiments, Figure 8 As shown, the 3D printing device also includes a secondary processing device 82, which is configured to remove excess printing material on the surface of the printed object and perform secondary curing on the printed object after the digital light processing 3D printer completes printing. In some embodiments, the support can be removed, excess printing material on the surface of the printed object can be wiped off, the uncured material in the structure can be post-cured, and then rinsed with a cleaning agent, dried, and the printing is completed to obtain the desired multi-material structural characteristic object.

[0084] Such a 3D printing device can perform secondary solidification on the object, thereby preventing the post-printing material inside the diffusion structure from being insufficiently solidified and affecting the structural stability of the object, and further improving the quality of the printed object.

[0085] In some embodiments, taking printing of a printing object using two printing materials (referred to as slurry in this embodiment) with only one interface as an example, the entire process of using the 3D printing device of the present disclosure to generate 3D printing data and perform a printing operation is as follows.

[0086] 1. Establish an infiltration model based on a deep learning network. The steps to establish the model include:

[0087] 1.1. By collecting the three-dimensional model data of the preset surface / interface structure of the unwetted slurry and the corresponding three-dimensional data of the slurry wetting morphology, a wetting prediction data set of different slurries on the preset surface / interface structure is constructed.

[0088] 1.2, local feature extraction of point cloud before and after infiltration, a feature pyramid is constructed using kernel point convolution of size to extract the structural point cloud features before and after infiltration.

[0089] 1.3, alignment of dual-path point cloud features to extract the mapping relationship between the post-infiltration shape and the three-dimensional morphology of slurry attachment.

[0090] 1.4, regression prediction of the point cloud position after infiltration. Use the point cloud position regression generator to regress the denture point cloud features before infiltration to generate the denture point cloud after infiltration, and calculate the loss with the corresponding real point cloud features, so that the generated point cloud after infiltration is closer to the features of the real point cloud.

[0091] 1.5. Establish a slurry infiltration point cloud prediction model.

[0092] 2. Establish a multi-material printing target model and determine the printing direction based on its surface / interface characteristics.

[0093] 3. According to the principle of direct printing as much as possible and reducing the establishment of diffusion structure, the interface position of the slurry tank is determined when printing the model, so that the interface is perpendicular to the printing direction. In the second slurry distribution area, the part above the interface is the part wetted and covered by the second slurry, and the part below the interface is the part directly printed with the second slurry.

[0094] 4. Using the model generated above, perform regression prediction on the point cloud features of the slurry-infiltrated part to generate a model with the surface / interface topological micro-nano structure before infiltration.

[0095] 5. Import the pre-infiltration model into the slicing software, optimize the posture, slice the model perpendicular to the printing direction, and make sure to print the part corresponding to the first slurry first.

[0096] 6. Place the resin tank containing the first slurry, set the corresponding parameters, start printing, pause printing at the layer corresponding to the interface mentioned in step 3, remove the first slurry remaining in the preset multi-scale structure by wiping, blowing, etc., then replace the resin tank with the second slurry, align the static liquid surface of the second slurry with the interface defined in step 3, after standing for a certain period of time, raise the height of the formed model, change the corresponding printing parameters, and continue printing the second material at its bottom until the third material needs to be replaced, and so on.

[0097] 7. After printing is completed, remove the support, wipe off the excess slurry on the surface, post-cure the uncured resin in the structure, rinse with a cleaning agent, dry, complete the printing, and obtain the required multi-material structural property object.

[0098] Based on the device in the above embodiment of the present disclosure, by running the above method, it is possible to construct and regulate the mapping relationship between the surface / interface gradient bionic structure of the printed part and the wetting state and diffusion dynamics of the printing slurry, realize the directional infiltration, spreading and accumulation of different printing slurries in the specified area, and after further curing, realize integrated multi-material high-precision light-curing 3D printing. Compared with the existing multi-material printing technology, DLP multi-material three-dimensional layered integrated printing is realized, without the need for complex modification of the 3D printer, such as direct technical coupling with ink, etc., which is conducive to large-scale technology promotion.

[0099] In some embodiments, to print the above Figure 2 Taking the upper and lower jaw models in the illustrated embodiment as an example, the entire process of generating three-dimensional printing data and executing a printing operation using the three-dimensional printing device disclosed herein is as follows.

[0100] 1. Import the maxillary data of a patient scanned by the scanner into the dental design software to generate and design the corresponding full denture model.

[0101] 2. Input the point cloud data of the full denture model into the three-dimensional database of the corresponding point clouds before and after infiltration, perform regression prediction on the three-dimensional point cloud data of the denture before infiltration, establish a point cloud prediction model, and convert it into an STL model. In this case, the lyophilic structure that can achieve the final personalized and full morphological characteristics of the gingival papilla is a concave structure with a general shape of an elongated isosceles triangle between the two artificial teeth, which imitates the spatial structure occupied by the real gingival papilla and is about 3mm deep. The inner wall of the concave structure is a bionic wedge angle structure, and the inner wall surface is a bionic groove structure. The specific spatial distribution is personalized through deep learning, such as Figure 2 The wedge-shaped structure of the pitcher plant shown in the lower middle picture.

[0102] 3. Import the maxillary denture model into the modeling software, add a preset plane as the horizontal plane at the junction of the white artificial tooth and the red base on the labial side, and make most of the bottom of the concave structure close to the horizontal plane.

[0103] 4. Import the model into the slicing software, adjust the model's posture so that the preset plane is parallel to the bottom of the resin tank or the printing platform, and print the artificial teeth first. Avoid adding supports in the grooves. Record the number of layers required to print to the plane.

[0104] 5. Pour the artificial tooth slurry and start printing. Pause printing at the preset plane, remove the white resin at the groove, replace it with the slurry required for the base, and continue printing. At this time, the base slurry infiltrates and climbs in the preset bionic superstructure.

[0105] 6. After printing, remove the excess slurry except the liquid in the groove and put it into the light curing machine for post-curing to completely cure the slurry in the structure.

[0106] 7. Use ethanol to clean the entire denture structure, and then perform simple grinding and polishing to complete the production of maxillary full dentures. Figure 2 As shown in the two pictures above.

[0107] In some embodiments, to print Fig. 9 Taking the sawtooth model in the illustrated embodiment as an example, the entire process of generating three-dimensional printing data and executing a printing operation using the three-dimensional printing device disclosed herein is as follows.

[0108] 1. Input the point cloud data of the sawtooth model into the 3D database of the corresponding point cloud before and after infiltration, perform regression prediction on the 3D point cloud data of the denture before infiltration, establish a point cloud prediction model, and convert it into an STL model. Each sawtooth in this case is 5mm high, about 1.5mm deep, and about 2mm wide. The inner wall of the concave structure is a bionic wedge angle structure, and the inner wall surface is a bionic groove structure. The specific spatial distribution is personalized through deep learning, such as Fig. 9 As shown in the lower middle figure.

[0109] 2. Import the STL prediction model into the slicing software, adjust the model so that the printing interface of the two materials is parallel to the bottom of the resin tank, and print the part with the preset structure first. When adding supports, avoid adding them in the grooves. Record the number of layers required to print to the plane.

[0110] 3. Pour the first slurry and start printing. Pause printing at the preset interface, remove the remaining resin in the groove, replace it with the second slurry, and continue printing. At this time, the second slurry infiltrates and climbs in the preset bionic superstructure.

[0111] 4. After printing, remove the excess slurry except the liquid in the groove and put it into the light curing machine for post-curing to completely cure the slurry in the structure.

[0112] 5. Clean the entire model with ethanol to complete the production of the sawtooth model. Fig. 9 As shown in the upper middle figure.

[0113] It can be seen from the above embodiments that the three-dimensional printing data processing method, device, three-dimensional printing method and equipment proposed in the present disclosure can achieve the in-situ one-time forming of three-dimensional layered structure that the related DLP multi-material printing technology does not have while maintaining the original high printing resolution, high speed and high precision of DLP printing, and almost achieve efficient and smooth printing with zero material waste and zero pollution. Taking the printing of an object with a material interface as an example, DLP printing of multiple materials can be achieved by replacing the resin tank once, and there is no need to perform complex modifications to the 3D printer, such as direct technical coupling with ink, which is conducive to large-scale technology promotion.

[0114] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0117] So far, the present disclosure has been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0118] The method and apparatus of the present disclosure may be implemented in many ways. For example, the method and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0119] It should be noted that the terms "first", "second", etc. in the specification, claims, and drawings of the present disclosure are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present disclosure rather than to limit it. Although the present disclosure has been described in detail with reference to the preferred embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present disclosure can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present disclosure, which should be included in the scope of the technical solution for protection of the present disclosure.

Claims

1. A three-dimensional printing data processing method for digital light processing printing, comprising: Acquiring three-dimensional data of an object to be printed, wherein the three-dimensional data includes positions of interfaces of different printing materials required for the object to be printed; Generating a diffusion structure at the position of the interface, wherein the diffusion structure is used to diffuse the printing material used later to print the position of the interface in the diffusion structure, and the printing material corresponding to the diffusion structure is the printing material used earlier to print the position of the interface; Three-dimensional printing data is generated according to the three-dimensional data and the diffusion structure.

2. The three-dimensional printing data processing method according to claim 1, wherein: The interface intersects with the interface between the printed layers.

3. The three-dimensional printing data processing method according to claim 1, wherein: The diffusion structure includes one or more of a bionic wedge-angle edge structure, a capillary groove structure, a capillary protrusion structure, and a capillary hole structure.

4. The three-dimensional printing data processing method according to any one of claims 1 to 3, wherein: Generating a diffusion structure at the interface comprises: The diffusion structure is generated according to the three-dimensional data through a machine learning network model, wherein the machine learning network model is trained using preset diffusion structure sample data and corresponding material diffusion result data.

5. The 3D printing data processing method according to claim 4, further comprising: Collecting first three-dimensional morphological data of a preset diffusion structure, and acquiring second three-dimensional morphological data after the preset diffusion structure is infiltrated in the printing material; Extracting point cloud features respectively according to the first three-dimensional morphological data and the second three-dimensional morphological data, and obtaining a mapping relationship between the point cloud features of the first three-dimensional morphological data and the point cloud features of the second three-dimensional morphological data; According to the mapping relationship, the constructed machine learning network is trained to obtain the machine learning network model.

6. The three-dimensional printing data processing method according to claim 1, wherein: The step of obtaining the three-dimensional data of the object to be printed comprises: Determining the position of the layered interface of the material replacement according to the three-dimensional morphology of the interface of the different materials, so as to reduce the area of ​​the diffusion structure of the material replacement and the number of the layered interfaces, wherein at least one layered interface intersects with the extended surface of the interface; The printing direction is determined according to the position of the layered interface where the material of the object to be printed is changed.

7. The three-dimensional printing data processing method according to claim 1, wherein: Generating three-dimensional printing data according to the three-dimensional data and the diffusion structure includes: Determine, in a printing order, the three-dimensional data and the diffusion structure of the printing material previously used to print the position of the interface as the prior printing data; Determine, according to the printing order, the three-dimensional data of the printing material to be used later for printing the position of the interface as the later printing data, Among them, the number of the previous printing data and the number of the subsequent printing data in the three-dimensional printing data are respectively the same as the number of material changes. When the number of material changes is greater than 1, according to the printing order, the subsequent printing data corresponding to the previous interface is the previous printing data corresponding to the subsequent interface.

8. A three-dimensional printing method, comprising: The digital light processing 3D printer acquires 3D printing data, wherein the 3D printing data is generated according to the 3D printing data processing method for digital light processing printing according to any one of claims 1 to 7; Using the printing material determined according to the printing order, performing a light curing operation according to the three-dimensional printing data corresponding to the printing material until printing reaches the corresponding layered interface of material replacement or printing is completed, Among them, if printing reaches the corresponding layered interface of material change, the printing material changed according to the printing order is used, and the photocuring operation is performed according to the three-dimensional printing data corresponding to the changed printing material until printing reaches the corresponding layered interface of material change or printing is completed.

9. The three-dimensional printing method according to claim 8, further comprising: After the digital light processing 3D printer completes printing, excess printing material on the surface of the printed object is removed, and the printed object is subjected to secondary curing.

10. A three-dimensional printing data processing device for digital light processing printing, comprising: A three-dimensional data acquisition unit, configured to acquire three-dimensional data of an object to be printed, wherein the three-dimensional data includes a position of an interface between different printing materials required for the object to be printed; a diffusion structure generating unit, configured to generate a diffusion structure at the position of the interface, wherein the diffusion structure is used to diffuse the printing material used later for printing the position of the interface in the diffusion structure, and the printing material corresponding to the diffusion structure is the printing material used earlier for printing the position of the interface; The printing data generating unit is configured to generate three-dimensional printing data according to the three-dimensional data and the diffusion structure.

11. The three-dimensional printing data processing device according to claim 10, further comprising a model training unit configured to: Collecting first three-dimensional morphological data of a preset diffusion structure, and acquiring second three-dimensional morphological data after the preset diffusion structure is infiltrated in the printing material; Extracting point cloud features respectively according to the first three-dimensional morphological data and the second three-dimensional morphological data, and obtaining a mapping relationship between the point cloud features of the first three-dimensional morphological data and the point cloud features of the second three-dimensional morphological data; According to the mapping relationship, the constructed machine learning network is trained, wherein: The diffusion structure generating unit is configured to generate the diffusion structure through the machine learning network model according to the three-dimensional data.

12. A three-dimensional printing data processing device for digital light processing printing, comprising: Memory; and a processor coupled to the memory, wherein the processor is configured to execute the three-dimensional printing data processing method according to any one of claims 1 to 7 based on instructions stored in the memory.

13. A computer-readable storage medium having computer instructions stored thereon, wherein when the instructions are executed by a processor, the three-dimensional printing data processing method according to any one of claims 1 to 7 is implemented.

14. A computer program product, comprising a computer program or instructions, wherein when the computer program or instructions are executed by a processor, the three-dimensional printing data processing method according to any one of claims 1 to 7 is implemented.

15. A three-dimensional printing device, comprising: A digital light processing 3D printer, configured to: Acquire three-dimensional printing data, wherein the three-dimensional printing data is generated according to the three-dimensional printing data processing method for digital light processing printing according to any one of claims 1 to 7; Using the printing material determined according to the printing order, performing a light curing operation according to the three-dimensional printing data corresponding to the printing material until printing reaches the corresponding layered interface of material replacement or printing is completed, Among them, if printing reaches the corresponding layered interface of material change, the printing material changed according to the printing order is used, and the photocuring operation is performed according to the three-dimensional printing data corresponding to the changed printing material until printing reaches the corresponding layered interface of material change or printing is completed.

16. The three-dimensional printing device according to claim 15, further comprising: The secondary processing device is configured to remove excess printing material from the surface of the printed object after the digital light processing 3D printer completes printing, and perform secondary curing on the printed object.

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