16843results about "Additive manufacturing apparatus" patented technology

A dental attachment placement device comprises a plurality of articulated registration elements shaped for placement on a plurality of teeth, which can facilitate placement, accommodate tooth movement, and improve alignment of the registration elements with the teeth, so as to accurately position an attachment for placement. The plurality of registration elements may comprise one or more attachment supports and one or more retention supports extending from the plurality of registration elements. A dental attachment can be removably coupled to the attachment support. The plurality of registration elements and attachment supports may be located on opposing sides of one or more teeth in order to maintain placement prior to adhering the attachment to the tooth. In some embodiments, each of the plurality of registration elements comprises a tooth registration surface shaped to engage the tooth with a specific position and orientation for accurate positioning of the attachment.

The invention belongs to the technical field of aerogel materials, and particularly relates to high-performance antistatic aerogel for 3D printing as well as a preparation method and application thereof. According to the invention, inorganic hollow nanoparticles are selected as a nucleating modifier for in-situ polymerization of aniline monomers in a polyamide solution, so that polyaniline-coated inorganic hollow nanoparticles are uniformly dispersed in polyamide, and the aerogel composite material with polyamide as a continuous phase and polyaniline-coated inorganic hollow nanoparticles as a conductive and reinforced phase is formed. The use of the hollow inorganic nanoparticles avoids the problem that the solid inorganic nanoparticles lose the characteristics of the inorganic nanoparticles due to high specific gravity and high surface energy, and easy agglomeration or adsorption with other substances in the preparation process of the solid inorganic nanoparticles. The inorganic hollow nanoparticles are adopted as a nucleating modifier, so that the problems of agglomeration of solid nanoparticles and dispersion in a polyamide matrix are well solved.

The invention belongs to the technical field of polymer preparation, and particularly relates to a curved-surface polyaniline modified 3D printing polyurethane material and application thereof. According to the preparation method, an ice crystal hard template method and a polyether glycol soft template method are combined, so that the microstructure of polyaniline is adjusted, and the curved polyaniline with regular morphology is prepared. The curved-surface arc-shaped structure has a large specific surface area, can form more contact sites with resin when being directly melt-blended with the resin, is beneficial to construction of a conductive path, and is not easy to agglomerate due to the curved-surface structure. The polyaniline with the arc-shaped structure is of a three-dimensional space structure and is directly blended with the resin to form a randomly arranged conductive network structure, so that the composite material is not easy to break when being impacted, and can be better embedded between the resin to form a stress transfer channel, and a complex three-dimensional network structure is constructed; the mechanical property and the antistatic capability of the product are improved.

A dynamic vision system includes a variable focus liquid lens optical assembly. The dynamic vision system includes a variable lighting assembly. The dynamic vision system includes a control system configured to adjust one or more optical parameters and data collected from the variable focus liquid lens optical assembly in real time. The dynamic vision system includes a control system configured to adjust the variable lighting assembly. The dynamic vision system includes a processing system that dynamically learns on a training set of outcomes, parameters, and data collected from the variable focus liquid lens optical assembly to train a set of machine learning models to control the variable focus liquid lens optical assembly to optimize collection of data for processing by the set of machine learning models.

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The invention provides a preparation method of laser cladding heterostructure stainless steel. According to the method, dried stainless steel pre-alloyed powder is subjected to laser melting deposition to form heterostructure stainless steel alloy with cross deposition of coarse grains and fine grains; the grain size of the fine crystal is 3-6 [mu] m, and the structure of the fine crystal layer is an equiaxed structure; the grain size of the coarse crystal is 20-50 [mu] m, and the structure of the coarse crystal layer is a columnar crystal formed along the Z axis. According to the method, the specific coarse grain / fine grain cross deposition heterostructure is presented in the stainless steel by changing the deposition layer process parameters and the scanning path, the material strength is improved while the material ductility is guaranteed, and the alloy has the excellent mechanical property.

The invention relates to the technical field of 3D printing error compensation and precision control, and particularly discloses a printing comprehensive precision measurement method for 3D printing equipment, which comprises the following steps: designing a standard test piece containing various typical geometrical characteristics, and combining non-contact three-dimensional optical scanning and contact probe measurement means to measure the printing comprehensive precision of the 3D printing equipment. Spatial distribution data of printing errors are obtained in a controlled environment, a three-dimensional error field model with direction and amplitude information is constructed through point cloud registration and feature comparison, and based on error distribution features, the local resolution is dynamically adjusted by adopting a multi-level self-adaptive grid division strategy, so that a three-dimensional error field model with direction and amplitude information is constructed. A local error compensation model is established by combining tightly-supported radial basis function interpolation and a linear fitting method, a boundary consistency matching algorithm is introduced to realize multi-level model fusion, a unified global error compensation field is formed, an error offset vector field is embedded into a slicing process, point-by-point dynamic correction of a nozzle path is realized by using a trilinear interpolation algorithm, and the nozzle path is dynamically corrected. And the forming precision and the surface quality of the key structure are improved.

The invention relates to an additive manufacturing method and application of an aluminum-based silicon carbide composite material complex component, and the additive manufacturing method of the aluminum-based silicon carbide composite material complex component comprises the following steps: step 1, uniformly mixing silicon carbide powder and aluminum alloy powder, and drying; 2, establishing a structural model for the target part, and importing the structural model into selective laser melting forming equipment; thirdly, selective laser melting forming is conducted; fourthly, linear cutting and surface treatment are conducted; and fifthly, hot isostatic pressing treatment is conducted. The invention further provides application of the aluminum-based silicon carbide composite material complex component to precise structural components such as aviation structural components, guided missile and satellite components and optical instruments. According to the method, the problem of subsequent large-allowance removal of the aluminum-based silicon carbide composite material component is solved, the wettability between the aluminum alloy and the silicon carbide particles is improved, the mechanical property meets the application requirement, and the aluminum-based silicon carbide structural component with stable performance is obtained.

The technology described herein is directed towards one or more modular metasurfaces arranged with unit cells for sound absorption, in which the unit cells are based on Helmholtz resonators that are deployed proximate to a server, without substantially obstructing airflow from the server fan(s). Each sound absorbing unit-cells is designed and constructed based on a specific resonance frequency, and includes a neck portion and air chamber dimensioned to resonate at the desired resonance frequency and thereby inverse phase cancel corresponding narrowband frequencies of incoming sound waves. The metasurfaces can be arranged in a modular frame structure of surrounding unit cells, positioned behind the server's fan(s), with an opening in the frame structure to facilitate airflow therethrough, without obstructing or substantially obstructing the airflow to the surrounding environment.

A robotic fleet resource provisioning system includes a computer-readable storage system storing a fleet resources data store and resource provisioning rules. The fleet resources data store maintains a fleet resource inventory indicating fleet resources, each with features, configuration requirements, and a status. The resource provisioning rules are accessible to an intelligence layer to ensure that provisioned resources comply with the resource provisioning rules. The system receives a request for a robotic fleet to perform a job and determine a job definition data structure. The definition data structure defines a set of tasks that are to be performed in performance of the job. The system determines a robotic fleet configuration data structure corresponding to the job based on the set of tasks and the fleet resource inventory. The system determines a respective provisioning configuration for each respective fleet resource. The system deploys the robotic fleet to perform the job.

The invention provides an intelligent image processing method and device for UV curing 3D ink-jet printing and a storage medium, and the method comprises the steps: carrying out the contour feature extraction of a slice image, and intelligently recognizing a supporting region based on the interlayer contour change and geometric features; printing data corresponding to the color ink layer, the white ink layer, the gloss oil layer, the shaping layer and the supporting layer are generated according to the contour features, the shrinkage judgment result and the overhanging area recognition result, the printing data serve as spot color channels and are combined with CMYK channels of the color ink layer, halftone processing is carried out on the data of the channels, and the color ink layer is obtained. And finally, generating and outputting a TIF format image file comprising at least eight channels, wherein the TIF format image file is used for driving the UV curing 3D ink-jet printer, the equipment and the storage medium storage and is used for realizing the intelligent image processing method during execution. According to the method, the printing precision and the material utilization rate are improved, and the problems of support generation, color management and quality control in multi-material 3D printing are effectively solved.

The invention belongs to the technical field of electrohydrodynamic printing control, and discloses an electrohydrodynamic printing control method and device, electronic equipment and a storage medium. The method comprises the steps that the viscosity state parameters of fluid in the printing process of an electrohydrodynamic printing system are obtained in real time, inputting the viscosity state parameter into a preset fluid state calculation formula, calculating to obtain a fluid state evaluation value of the fluid, adjusting the electric field parameter according to the fluid state evaluation value and a preset adjustment criterion to adapt to the state change of the fluid, obtaining the adjusted electric field parameter, and determining the viscosity of the fluid based on the viscosity change of the fluid and the Taylor cone form. The adjusted electric field parameters are optimized to control the electro-hydrodynamic printing system to maintain the stability of the Taylor cone; the electric field parameters are adjusted according to the fluid state evaluation value, the viscosity change and the Taylor cone form of the fluid in the printing process, so that the stability of the Taylor cone is maintained by the electro-hydrodynamic printing system, and the printing efficiency of electro-hydrodynamic printing is improved.

The invention provides a high-precision laser additive manufacturing method and device based on metal powder melting, and relates to the technical field of metal additive manufacturing, and the high-precision laser additive manufacturing device comprises a multi-element powder supply and electrification unit which is used for carrying out independent metering supply and airflow dispersion mixing on various metal powder in an inert atmosphere environment and enabling powder particles to obtain controllable charges; the electromagnetic field cooperative control unit is used for actively regulating and controlling the falling speed and the transverse track of the powder particles through the cooperative effect of a longitudinal magnetic field and a transverse electric field when the powder particles are in a charged state; the invention provides a metal powder forming technology path based on particle size active conveying and spatial positioning, and active conveying and accurate positioning of the metal powder particles in the flying process are realized by performing electrified regulation and control on single or small-scale metal powder particles and utilizing the action of an electromagnetic field. Therefore, layer-by-layer stacking forming is completed under the condition of not depending on the whole powder laying layer.

The application discloses a kind of based on 3D printing's three-dimensional model slice path processing method and device. Including: control 3D printer to starting point as starting point;Based on the region surrounded between starting point and reference point, determine the printing point to be printed that 3D printer needs to execute printing action during executing 3D printing job;Starting point and the printing point to be printed are sequentially connected by smooth straight line, generate printing path;Based on printing path control 3D printer executes 3D printing job and obtains target object, to effectively reduce the number of line segments of slice contour line of three-dimensional model forming target object, avoid 3D printer in printing job, in the pause frequency of line segment head, tail, simultaneously avoid the problem that 3D printing model surface protrusion is caused by long time scanning due to pause.In reducing pause frequency, printing is more smooth, improve printing efficiency, simultaneously also reduce algorithm complexity, help the simplification of algorithm.And effectively simplify the algorithm of 3D printer.

The invention discloses a topological optimization multi-level liquid cooling structure and a manufacturing method, and relates to the technical field of heat dissipation and thermal management, the topological optimization multi-level liquid cooling structure comprises a liquid cooling plate, and a multi-level flow channel network composed of a first macroscopic main flow channel, a second macroscopic main flow channel and micro flow channels is arranged in a cavity of the liquid cooling plate; a liquid inlet and a liquid outlet are formed in the symmetrical positions of the two ends of the upper surface of the liquid cooling plate in the length direction; the liquid inlet is communicated with the first macroscopic main runner; the liquid outlet is communicated with the second macroscopic main runner; the liquid inlet is used for allowing cooling liquid jet flow to enter the multi-level flow channel network; the first macroscopic main flow channel and the second macroscopic main flow channel are communicated with the micro-channel and are lower than the micro-channel; a to-be-cooled heat source abuts against the upper surface of the liquid cooling plate through the heat conduction slide glass. And the horizontal position of the micro-channel in the cavity corresponds to a heat source to be cooled. The heat dissipation requirement under the working condition of high heat flux can be met, the cooling efficiency is high, and the temperature equalization performance is excellent.

The invention relates to the technical field of additive manufacturing, and discloses an additive manufacturing lens surface optimization method based on real-time feedback control. The method comprises the following steps: firstly, acquiring eye biometric data and personalized visual demand parameters of a wearer, establishing a personalized optical model of eyeballs according to the eye biometric data and the personalized visual demand parameters, and deducing a retina defocusing amount distribution map; and determining spatial arrangement and geometric morphology parameters of the distributed out-of-focus microstructure layer on the lens according to the atlas. In the additive manufacturing process, the optical material is deposited and solidified layer by layer, and the three-dimensional shape information of the surface of the optical material is obtained in real time after deposition of each layer. And comparing and analyzing the morphology information with a theoretical model to generate a morphology deviation result. And then, a correction instruction of the printing parameters is calculated by using the correction model, and the printing parameters of the additive manufacturing equipment are adjusted in real time, so that real-time compensation and optimization of the morphology deviation are realized, and finally, a high-precision lens product meeting personalized optical design requirements is manufactured.

An example of a multi-fluid kit for three-dimensional (3D) printing includes a fusing agent and a surface treating agent. The fusing agent includes an electromagnetic radiation absorber and a first aqueous vehicle. The surface treating agent includes a second aqueous vehicle, a surfactant, and benzyl alcohol dissolved in the second aqueous vehicle.

The invention relates to the field of additive manufacturing, and discloses a dynamic phase change control additive ultrahigh-strength steel strengthening and toughening process which comprises the following steps: S1, constructing a phase change structure design target which comprises retained austenite distribution, a structure space structure and mechanical property requirements; s2, based on the phase change structure design target, establishing a free energy model taking a phase field variable as a core for representing a phase change driving behavior between austenite and martensite; s3, on the basis of the free energy model, constructing a multi-field partial differential control model coupling phase field evolution, element diffusion and heat conduction; and S4, in combination with the multi-field partial differential control model, determining an interface adsorption parameter, a diffusion coefficient and a thermophysical parameter based on experimental characterization data. According to the method, path parameters are optimized through a multi-field partial differential control model and tissue deviation feedback, and accurate control of the phase change tissue and dynamic closed-loop adjustment of the machining process are achieved.

The invention relates to the technical field of laser deposition control, in particular to an unmanned aerial vehicle metal part ultrasonic field auxiliary laser deposition system which comprises the following modules: a data acquisition module for acquiring a molten pool thermal field signal, a sound field signal and a laser scattering signal, and performing sampling, filtering and synchronous processing to obtain molten pool original data; the micro-flow digital twinning module is used for establishing a molten pool micro-flow digital twinning model according to the molten pool original data and simulating molten pool micro-flow behavior to obtain micro-flow prediction data; and the microflow ultrasonic regulation and control module is used for generating an ultrasonic pulse sequence according to the microflow prediction data and applying the ultrasonic pulse sequence to the molten pool to regulate and control the flow field. According to the invention, through the molten pool microflow digital twinning module and the microflow ultrasonic regulation and control module, real-time modeling and regulation and control of the molten pool microflow structure in the complex geometric part deposition process are realized, the problem that local vortexes, shear layer differences and flow field anomalies cannot be identified in real time in the traditional technology is solved, and the molten pool microflow evolution can be actively reconstructed.

The invention relates to the technical field of additive manufacturing, and discloses an additive manufacturing hot-crack-free precipitation strengthening high-temperature alloy and a preparation method thereof.The method comprises the steps that a laying layer is divided into a plurality of parallel scanning strips according to the preset translation direction and the scanning strip interval, strip type scanning is conducted in a laser autorotation and translation motion coupling mode, and the high-temperature alloy is obtained; molten pool disturbance is remarkably enhanced, periodic shear fracture of the tip of dendritic crystal is achieved, epitaxial growth of columnar crystal is broken, grain equiaxalization is achieved, and anisotropy is weakened; in addition, laser scanning is a high-speed scanning strategy with the translation speed larger than or equal to 1500 mm / s, a shallow molten pool is formed through regulation and control of the high scanning speed, surface tension in the shallow molten pool is utilized, convection in the molten pool is enhanced, dendritic crystals are refined, columnar crystals in the high-temperature alloy are further reduced, and anisotropy of mechanical properties is remarkably eliminated; and the transverse strength and creep resistance at high temperature are improved. The isometric crystals can effectively prevent cracks from expanding in the orientation direction of the columnar crystals, and the fatigue life and the damage tolerance are remarkably prolonged.

An information technology system for a distributed manufacturing network includes an additive manufacturing platform configured to manage workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. The information technology system includes a set of digital twins generated by the additive manufacturing platform. The information technology system includes an artificial intelligence system configured to be executed by a data processing system in communication with the additive manufacturing platform. The artificial intelligence system is trained to generate process parameters for the workflows managed by the additive manufacturing platform using data collected from the set of distributed manufacturing network entities. The information technology system includes a control system configured to adjust the process parameters during an additive manufacturing process performed by at least one of the set of distributed manufacturing network entities.

An additive manufacturing method based on micro-selective laser melting technology. By using a spot size of 30 μm or less, a metal powder layer thickness of 10 μm or less and ultrafine metal powders having a D90 particle size of 30 μm or less, and in combination with the control of a scanning laser power, a scanning rate, a linear energy density and a volumetric energy density within specific ranges, the method can print complex-structured metal parts having extremely high resolutions and surface smoothness, and can obtain a high-density internal structure of a component even under a relatively low energy density or power condition, thereby effectively protecting an optical system. Moreover, a printed component exhibits a defect-free microstructure, and has excellent electrical properties, thermal properties and mechanical properties. Particularly, ultrafine grains and a high dislocation density provide superior mechanical properties compared to conventional manufacturing materials. An infrared laser device can be used, thereby achieving low costs.

The invention belongs to the technical field of metamaterials, and particularly relates to a diamond substrate lattice metamaterial and an additive manufacturing method thereof. The structure is designed based on the geometric configuration of a diamond lattice, and has excellent high specific absorption mechanical properties. The design process comprises the following steps: firstly, carrying out spatial registration positioning on the basis of a unit cell structure with a preset wall thickness t and a unit cell width a; then, through a multi-unit-cell splicing design, the unit cells are spliced repeatedly for 12 times to form three-dimensional periodic stacking; then, the stacked structure is cut along the six datum planes; then cross plates are inserted into the six cutting faces respectively to enhance the integrity and strength of the structure; and finally, a complete DM plate lattice metamaterial structure is formed. The structure is provided with a plate-plate cross supporting framework, a complex three-dimensional inner cavity and highly symmetrical space distribution, the energy absorption capacity under unit mass is greatly improved, the mechanical properties are basically consistent in multiple directions, and the structure is suitable for the engineering fields of impact protection, energy absorption buffering and the like.

An additive manufacturing real-time process parameter optimization method based on reinforcement learning driving comprises the steps that firstly, a multi-mode online monitoring hardware platform is constructed, and a visible light camera, a thermal imaging camera and an acoustic sensor are integrated to sense the working condition of the additive manufacturing process in real time in an omnibearing mode; secondly, extracting key features, including visible light images, thermal imaging and acoustic signal branches, of modal data on line through a lightweight CNN-Transform hybrid network, and generating a unified low-dimensional state vector through convolution feature extraction and fusion of a Transform encoder; then, a reinforcement learning model is established, a multi-target reward function is designed in combination with the extracted feature data, a process jitter penalty term, an overheating penalty term and the like are covered, and dynamic mapping of parameters and performance is achieved. And finally, an online learning and real-time decision-making system is deployed, the trained strategy network is embedded into manufacturing equipment, self-adaptive adjustment and closed-loop control of technological parameters are achieved, and the stability and product performance of the additive manufacturing process are effectively improved.

The invention relates to the technical field of oral implantation guidance, and provides a digital false tooth mounting and positioning device based on three-dimensional scanning and a method thereof. The method comprises the following steps: scanning the oral cavity of a patient through an oral cavity scanner to generate a three-dimensional oral cavity digital model; generating a virtual implant of the patient and corresponding initial implantation parameters based on the three-dimensional oral cavity digital model through a SegFormer segmentation network; based on historical operation data, initial implantation parameters, bone density, patient attributes and occlusal force parameters, a long sequence prediction network is adopted to predict the position offset and bone resorption degree of the virtual implant after osseointegration through a segmented attention mechanism and a network memory cache mechanism, and optimal implantation parameters are obtained; and pushing a visual dynamic model containing the candidate positioning strategy to the user based on the optimal implantation parameter, driving an oral cavity model printer to obtain an implantation guide plate model and an oral cavity environment model, assisting the user in verifying the installation effect of the candidate positioning strategy, and improving the accuracy of false tooth installation and positioning.

The invention discloses a 3D printing extrusion monitoring method and system based on continuous image analysis. The method comprises the following steps: acquiring image data of a printing head of a 3D printing platform at a plurality of continuous time points; according to the image data, a printing model part of the printing head is determined based on an image recognition algorithm; according to the image data, the discharging flow corresponding to the printing head is calculated based on a continuous image recognition algorithm; and according to the printing model part and the discharging flow, the flow abnormal condition corresponding to the printing head is analyzed. Therefore, accurate flow anomaly detection based on image analysis can be realized, the stability and the printing quality of the 3D printing process are improved, and the printing defect risk caused by flow anomaly is reduced.

The invention discloses a method for preparing spherical metal fine powder by using coarse / waste powder through ultrasonic atomization, which comprises the following steps of: (1) collecting coarse / waste powder raw materials for ultrasonic atomization powder preparation, (2) conveying the coarse / waste powder to an electric arc melting area through argon gas flow, and carrying out melting and ultrasonic atomization powder preparation processing; (3) in the powder preparation process, the powder is continuously collected by using argon circulating airflow, so that the continuity of the powder preparation process is ensured; and (4) finally screening the prepared powder in particle size ranges to obtain high-quality spherical fine powder in different particle size ranges. According to the method, the recycling and reusing problems of 3D printing splashing waste powder and coarse powder in the traditional gas atomization powder manufacturing process are solved, and the powder pollution risk is remarkably reduced; according to the ultrasonic atomization re-powdering technology, the high-quality spherical metal fine powder needed by additive manufacturing can be efficiently prepared, powder waste discharge and environmental burden are reduced, the obtained powder can be directly used as a high-quality raw material for additive manufacturing, and green and sustainable development of the metal additive manufacturing industry is promoted.

The present invention relates to photohardenable compositions and methods of forming an object, the method preferably including a photohardenable composition described herein. Preferred photohardenable compositions and methods include a photohardenable resin component, a first photoinitiator that is activatable by exposure to light at a first wavelength and light at a second wavelength, and a second photoinitiator that is activatable by exposure to light at a third wavelength, wherein the first, second, and third wavelengths are not the same, and the third wavelength is shorter than the first wavelength and the second wavelength. Preferred first photoinitators include photoswitchable photoinitiators. Preferably the second light-activated photoinitiator comprises a free-radical photoinitiator. Hardenable resin compositions and methods of forming an object including the hardenable resin composition are also disclosed.

The application discloses a preparation method of high-strength and high-plasticity additive manufacturing nickel-based high-temperature alloy. The application effectively solves the problem of high strength and low plasticity of the nickel-based high-temperature alloy caused by heat treatment of precipitation strengthening, and obtains high-performance nickel-based high-temperature alloy with a tensile strength of 1609 MPa and an elongation rate of 16.6%. The application first uses 1160 DEG C. to 1200 DEG C. solid solution treatment, and then carries out 843 DEG C. / 4 h+760 DEG C. / 8 h two-stage aging heat treatment process, to prepare a multi-scale heterogeneous structure composed of bimodal size distribution grains, nano second phases and nano defects, and the heat-treated product has excellent strength and plasticity. The preparation process is simple, controllable and adjustable, the product has excellent performance, and is convenient for large-scale industrial application.

The invention discloses a method for preparing a light-transmitting gradient multicolor zirconium oxide material through photocuring, which comprises the following steps: preparing modified aluminum oxide which is formed by attaching a strontium element and a chromium element to the surface of aluminum oxide; preparing bottom-layer slurry, middle-layer slurry and upper-layer slurry from the zirconium-aluminum powder; the bottom layer slurry comprises zirconium aluminum powder and a coloring agent; the middle layer slurry comprises zirconium-aluminum powder, a light-transmitting auxiliary agent and a coloring agent; the upper-layer slurry comprises zirconium-aluminum powder, a light-transmitting auxiliary agent and a coloring agent; preparing a bottom layer green body by using the bottom layer slurry through 3D printing by using the photocuring slurry, preparing a middle layer green body on the surface of the bottom layer green body by using the middle layer slurry, and preparing an upper layer green body on the surface of the middle layer green body by using the upper layer slurry, so as to obtain a zirconium oxide material green body; the light-transmitting gradient multicolor zirconia material with gradient light transmission and gradient color is directly prepared through 3D printing, the color of the light-transmitting gradient multicolor zirconia material is closer to that of real teeth, and the strength and toughness are not reduced.