6908 results about "3D printing" patented technology

The invention relates to the technical field of 3D printing models, in particular to a 3D printing model slice feature compensation method and system and a medium. The method comprises the following steps that a 3D printing model is collected, a model feature skeleton is split, transverse slice features are generated, then a 3D printing environment is collected, virtual simulation is carried out, environment stress analysis is carried out on the skeleton slice features to obtain environment stress data, then deformation scale deduction and thermal deformation prediction are carried out based on the environment stress data, and a thermal deformation model is obtained. On the basis, reverse deformation simulation is carried out, deformation repair requirements are evaluated, a deformation compensation path is planned, finally, compensation simulation of a model feature skeleton is achieved, non-target deformation is analyzed, a compensation path is adjusted, and therefore the feature compensation method is optimized. According to the 3D printing model slice feature compensation method, the accuracy and quality of the 3D printing model are integrally improved.

The invention discloses an airspace engine 3D printing deformation compensation method. The method comprises the following steps that S1, a three-dimensional CAD model is constructed, and a printing layer set is generated; s2, obtaining residual stress tensor fields of the current printing layer and the historical printing layer; s3, constructing a stress shadow mapping tensor; s4, inputting the stress shadow mapping tensor and the current printing layer parameter into the reverse stress propagation neural network model, and outputting a deformation prediction vector field; s5, performing geometric compensation processing on the geometric area of the printing layer according to the deformation prediction vector field; s6, generating a printing code according to the compensated geometric model; and S7, carrying out error comparison on the actual deformation vector field and the overall prediction deformation vector field, if the error is greater than a preset tolerance threshold value, feeding back error information to the step S5, and repeatedly executing the steps S5 to S7 until the error vector field does not exceed the tolerance threshold value. According to the method, residual stress modeling and the reverse stress propagation neural network are fused, and 3D printing deformation compensation of the airspace engine is achieved.

The invention belongs to the technical field of aerogel materials, and particularly relates to antistatic aerogel for 3D printing as well as a preparation method and application of the antistatic aerogel. The preparation method comprises the following steps: (1) dispersing inorganic nanoparticles modified by a silane coupling agent containing epoxy groups and an aniline monomer in an acidic solvent to obtain a monomer mixed solution; (2) stirring and dissolving polyamide in the monomer mixed solution; (3) initiating a reaction to obtain a polyaniline modified polyamide solution; and (4) freeze-drying to obtain the antistatic aerogel for 3D printing. By controlling synthesis conditions, a core-shell structure of acid-doped polyaniline coated inorganic nanoparticles is formed, and a good conductive path is formed in polyamide with a small addition amount of polyaniline. The antistatic aerogel for 3D printing can be applied to technologies such as photocuring molding and fused deposition of polyurethane resin in a 3D printing technology, and the antistatic property and the mechanical property of a 3D printed product are improved.

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 discloses an industrial particle 3D printer cavity temperature heat recovery system and a cavity temperature control method, and relates to the technical field of 3D printing, and the method comprises the following steps: establishing a three-dimensional geometric analysis model of a printing component, based on the structural morphology, thickness distribution and spatial topology characteristics of the component, extracting a spatial temperature control demand corresponding to each region, and calculating a three-dimensional geometric analysis model of the printing component; and determining an adjusting target of the hot air circulation system. According to the method, a space temperature control demand model is established based on geometrical characteristics of a component, oriented distribution of heat energy is realized by dynamically adjusting a hot air circulation system, a cooling characteristic curve is constructed in combination with real-time temperature and stress data, and a warping resonance sensitive area is identified and regulated. And a self-adaptive temperature control system is formed through fixed-point thermal compensation and parameter closed-loop correction. Compared with a traditional strategy, the method has the advantages that the temperature control precision and the response efficiency are remarkably improved, thermal stress resonance and structural deformation in the cooling process are effectively restrained, and the method is suitable for stable forming of high-precision complex components and has wide application prospects.

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 gradient crosslinking process of photosensitive resin for photocuring 3D printing, and relates to the technical field of photocuring 3D printing materials. The gradient crosslinking process of the photosensitive resin for photocuring 3D printing comprises the following steps: S1, based on double-initiator system design, adopting molecular dynamics simulation screening, respectively adding a 405nm sensitive type TPO-L initiator and a 365nm sensitive type I TX initiator into an epoxy acrylate prepolymer, and verifying initiation energy barrier matching through quantum chemistry calculation, and generating a pre-initiation gradient resin formula. Through molecular dynamics simulation, initiator combinations are screened, energy barrier matching is verified, the ratio of dual-wavelength sensitive initiators is optimized, and accurate triggering of surface layer and deep layer cross-linking reaction is ensured. And a three-roller grinding and dispersing process is combined with ultrasonic oscillation to eliminate nanoparticle aggregation, so that the mechanical uniformity and light scattering effect of a resin system are improved.

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 provides a personalized functional nutritional tea point rich in tea polyphenol and resveratrol and a 3D printing manufacturing method. The personalized functional nutritional tea point comprises a shell and an inner core, wherein the shell and the inner core are respectively a shell gel material and an inner core gel material; the inner core gel material comprises a water-oil double-gel material rich in tea polyphenol and resveratrol; wherein the water-oil double-gel material is prepared by the following steps: adding chitosan, betaine and vanillin into a mixed solution of corn starch, chickpea protein and water, heating and incubating to obtain hydrogel; and dissolving the tea polyphenol in the hydrogel to obtain the tea polyphenol hydrogel. The oleogel is obtained by melting and mixing beeswax and linseed oil, and then dissolving resveratrol in the oleogel; the personalized functional nutritional tea point is high in content of active ingredients of tea polyphenol and resveratrol and has heat stability, illumination stability and storage stability; the 3D coaxial printing technology is utilized, the functional components are further stabilized, tea points of various patterns and shapes can be obtained, and the method has personalized food preparation and application value.

The invention discloses a multi-mode sensing electromechanical actuator fault prediction system and a control method thereof, and relates to the field of intelligent maintenance of electromechanical integrated equipment. Comprising the following steps: S1, multi-mode sensor deployment and signal acquisition: cooperatively deploying a vibration sensor, a current sensor and a temperature sensor at a bearing, a motor winding and a driver of an electromechanical actuator; and S2, bionic pulse coding and time synchronization: converting the three-mode signal into a sparse pulse stream with time synchronization through a self-adaptive integral distribution model with dynamic threshold adjustment. Through bionic multi-mode sensing, brain-like edge calculation and dynamic fault-tolerant control, real-time health management of the high-precision electromechanical system is realized, the equipment reliability is remarkably improved, and the operation and maintenance cost is reduced. The method is suitable for industrial application with precise assembly requirements such as automobile welding lines, aerospace machining and metal 3D printing.

Provided is an integrated probe pin that includes an upper plunger having a first tip adapted to come into contact with a circuit to be inspected to transmit and receive electrical signals to and from the circuit to be inspected; a lower plunger having a second tip adapted to come into contact with an inspection circuit to transmit and receive the electrical signals to and from the inspection circuit; and an elastic part located between the upper plunger and the lower plunger to elastically support the upper plunger and the lower plunger, wherein the upper plunger, the lower plunger, and the elastic part are manufactured as an integral body using 3D printing and made of one or more metal materials.

The invention belongs to the technical field of ceramics and slurry thereof, and particularly relates to fiber-reinforced ceramic photocuring slurry, a preparation method and a reinforced ceramic material. The slurry provided by the invention consists of ceramic powder, ceramic composite short fibers, light-cured resin, a photoinitiator, a dispersing agent, a plasticizer and the like, wherein the ceramic composite short fibers are zirconium oxide and silicon oxide composite fibers; the light-cured resin contains a photosensitive resin monomer and a prepolymer; and the photoinitiator is compounded by a short-wavelength initiator and a long-wavelength initiator. The preparation method comprises the following steps: modifying the ceramic composite short fibers with a silane coupling agent, mixing the modified ceramic composite short fibers with all the materials, and carrying out ball milling and defoaming. The obtained slurry is subjected to 3D printing photocuring molding and degreasing sintering, and a reinforced ceramic material can be prepared. The slurry can be used for manufacturing a high-performance ceramic material through composite short fiber synergistic enhancement, long and short wavelength initiator synergistic curing and fiber surface modification, and the curing depth, the three-point bending strength and the fracture toughness are remarkably improved.

The invention discloses a universal laser path optimization method and module for metal 3D printing, and the method comprises the following steps: S1, carrying out the slicing and initial path planning of a three-dimensional model, and generating printing data containing vector coordinates, a scanning time sequence, laser power and a scanning speed; s2, the printing data and the equipment parameters are imported into a path heat balance optimization module, and a high forming risk area is evaluated based on a temperature field distribution model; s3, laser path secondary optimization is conducted on the high forming risk area through a preset optimization function, and a new laser scanning path vector data set is generated; s4, importing the optimized path vector data set into printer control software for processing; the laser parameters and the scanning path are dynamically adjusted, so that the local temperature gradient is reduced, the thermal stress concentration is reduced, and the defects of warping, collapse and the like are overcome; the optimization function based on the mathematical model can adapt to various complex structures and is suitable for efficient printing of macroscopic-mesoscopic integrated parts, and the production efficiency is improved.

The fused deposition 3D printing fault monitoring method is applied to 3D printing equipment, the 3D printing equipment at least comprises a spray head, a base plate, a wire feeding module, a fault detection module and a main control system, and the fault detection module comprises a regulation and control assembly and a camera. The method comprises the steps of obtaining model printing information; setting a motion mode of the regulation and control assembly and a collection mode of the camera; acquiring an image of a monitored area; performing fault feature calculation on the monitored area image to obtain a fault feature value; judging whether a printing error occurs or not according to the fault characteristic value; and if a printing error occurs, an error alarm is given out. According to the method, the printing fault caused by the material shortage problem caused by nozzle blockage, material breakage and the like possibly existing in the printing process of the 3D printing equipment can be rapidly monitored in real time, and material waste and printing time waste are reduced.

The invention provides a real-time 3D printing defect detection method and system based on artificial intelligence, and aims to solve the problems of dependence on single visual information, lack of dynamic tracking and insufficient model generalization ability in the prior art. According to the method, the printing process is comprehensively perceived through multi-modal data fusion, and defects are analyzed and classified in real time by using a deep learning model. The model output comprises defect category, position, abnormal score and severity evaluation, and the defect development trend can be dynamically tracked and early warning can be carried out in advance. Through comparison with a printed digital model, the system can accurately identify geometric deviation, and early intervention is realized in combination with trend analysis. When serious defects are detected, the system automatically triggers response measures, such as printing pause, parameter adjustment or correction scheme provision, to form a complete quality control closed loop. According to the method, the detection precision and robustness are remarkably improved, and incremental learning is supported to adapt to different printing environments.

The invention discloses a porous titanium-based implant with a photo-thermal surface and a preparation method and application of the porous titanium-based implant, and belongs to the technical field of biomedical materials. The preparation method comprises the steps that a porous titanium substrate is prepared through 3D printing, then flowing acid etching treatment and anodic oxidation treatment are conducted in sequence, then the porous titanium substrate is placed in photo-thermal coating dispersion liquid for reaction, cleaning and drying are conducted, and the porous titanium-based implant with the photo-thermal surface is obtained. The photo-thermal coating dispersion liquid is obtained by dispersing MXene-ZnO composite particles in a dopamine hydrochloride solution. The porous titanium-based implant provided by the invention can be rapidly heated to a proper temperature under the irradiation of near-infrared light, and has good antibacterial, anti-tumor and osteogenesis promoting properties and biocompatibility.

The invention discloses a multi-light-spot batch 3D printing device and method, and belongs to the field of 3D printing, the device comprises at least one galvanometer scanning unit, and each galvanometer scanning unit is provided with a laser beam splitting unit; the laser beam splitting unit is used for splitting one laser beam into a plurality of laser beams so as to form a laser matrix, and the distance between adjacent laser beams in the laser matrix is adjusted; the galvanometer scanning unit is used for reflecting the laser matrix to the printing working face, the laser matrix scans on the printing working face by adjusting the reflection angle of the galvanometer scanning unit, and multiple parts are printed in batches. Under the condition that the number of the galvanometers and the number of the lasers are not increased, the printing speed of small parts can be increased, and the requirement for batch production is met.

The invention discloses a skeleton model manufacturing method based on a 3D printing technology, and relates to the technical field of medical treatment, and the method comprises the steps: collecting the multi-modal image data of the skeleton of a patient, carrying out the image segmentation and reconstruction, and generating a digital three-dimensional model of the skeleton of the patient; carrying out mechanical optimization and material distribution adjustment on the digital three-dimensional model by utilizing a topological optimization algorithm, designing a bionic microstructure, and outputting a three-dimensional skeleton model subjected to optimization and bionic design; the bone model which is detected to be qualified is used for generating a personalized mold, and a prosthesis which is completely matched with the bone of the patient is customized through the mold; preoperative simulation and design of a prosthesis implantation scheme are carried out based on the skeleton model, and a personalized prosthesis and an operation scheme matched with the skeleton of the patient are obtained; the structural rigidity is maximized and the material consumption is minimized by utilizing a topological optimization algorithm, so that the bone model can better meet the biomechanical requirements of a patient, and meanwhile, the bionic characteristics and mechanical properties of the model are enhanced through the bionic microstructure design.

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 field of modified self-repairing calcium aluminate cement 3D printing, and particularly relates to a phosphate modified self-repairing calcium aluminate cement 3D printing material and a preparation method thereof. The phosphate modified self-repairing calcium aluminate cement 3D printing material prepared by the invention is prepared from the following raw materials in parts by mass: 60 to 70 parts of calcium aluminate cement, 3 to 7 parts of silica fume, 2 to 4 parts of metakaolin, 0.5 to 3.5 parts of double-template modified calcium bentonite, 0.8 to 1.5 parts of amino modified sodium polyphosphate and 0.15 to 0.8 part of basalt fiber. The invention relates to a concrete anti-microbial agent, which is prepared from the following raw materials in parts by weight: 20-30 parts of water, 20-30 parts of water, 20-30 parts of water, 20-30 parts of nano calcium carbonate, 20-30 parts of nano calcium carbonate, 20-30 parts of magnesium phosphate cement coated bacteria-loaded porous microspheres, 20-30 parts of a polycarboxylate superplasticizer, 20-30 parts of an organic silicon defoaming agent and 25-35 parts of mixing water. The technical-economic cooperation requirement of building 3D printing under complex working conditions is met, and various indexes of phosphate modified calcium aluminate cement applied to the 3D printing technology are met.

The invention relates to the technical field of joint prostheses, in particular to an ankle joint prosthesis implantation system based on zirconium-niobium alloy, which comprises a tibia prosthesis (10), a talus prosthesis (30) and a liner (20), the tibia prosthesis (10) and the talus prosthesis (30) are both made of zirconium-niobium alloy material and are integrally formed by 3D printing, the tibia prosthesis (10) comprises a tibia body (101), and the liner (20) is arranged on the tibia body (101). The first bone contact layer (100) is integrally formed on the tibia body (101), and the first bone contact layer (100) is of a porous structure of which the pore diameter is gradually reduced from outside to inside; the talus prosthesis (30) comprises a talus body (301) and a second bone contact layer (300) integrally formed on the talus body (301), and the second bone contact layer (300) is of a porous structure with the aperture gradually reduced from outside to inside.

The invention discloses a light spot shaping device based on wave plate polarization conversion and a use method, and relates to the technical field of laser processing, the device divides random polarized light into S / P light through a first polarization beam splitter (PBS), converts the S light into P light through a first 1 / 2 wave plate, modulates the S light through a conventional silicon-based liquid crystal spatial light modulator (LCoS SLM), and converts the P light into the S light through a second 1 / 2 wave plate. And the beams are combined by the second PBS. The method comprises the steps of light splitting, polarization conversion, phase modulation, beam combining, beam expanding and focusing and the like. The double 1 / 2 wave plates are combined with the conventional PBS, the laser energy utilization rate is higher than 85%, commercial SLM equipment is adapted, the machining efficiency of the shaped annular light spots is remarkably improved compared with that of Gaussian beams, the method is suitable for laser welding and metal 3D printing, and the problems of energy waste and high cost are solved.

The invention discloses a flow-guiding-free laminar flow water column nozzle, a nondestructive testing system and application of the flow-guiding-free laminar flow water column nozzle, and belongs to the field of industrial manufacturing. The flow-guiding-free laminar flow water column nozzle comprises a nozzle body, a nozzle head is detachably installed at the front end of the nozzle body through a connecting flange, and a filter element capable of greatly increasing the length of a laminar flow water column is arranged in the nozzle body through a clamping base; at least two through holes communicated with an internal channel of the nozzle body are formed in the nozzle body, a first flow channel, a second flow channel, a third flow channel and a fourth flow channel are sequentially formed in the nozzle body and the internal flow channel of the nozzle head in the water flow spraying direction, the filter element comprises a middle section, and a net face section is arranged at the end, away from the nozzle head, of the middle section. The end, close to the nozzle head, of the middle section is provided with a sunken section. According to the flow-guide-free laminar flow column nozzle, the nondestructive testing system and the application thereof, the filter element matched flow channel streamline combination capable of greatly improving the length of a laminar flow column can be achieved, the filter element can be manufactured through 3D printing, and the fund cost and the time cost are reduced.

The invention discloses an integrated manufacturing and construction method for fabricated building components based on BIM and 3D printing, and relates to the field of building construction, and the integrated manufacturing and construction method comprises a model creation module, a component splitting module, a printing path planning module, a material preparation module, a printing manufacturing module, a component transportation and storage module, a site construction module, a simulation analysis module and a quality tracing module. Creating a three-dimensional model by using BIM software, and reviewing by using VR; splitting the components according to capabilities, and recording the components by using a block chain; a 3D printing path is planned, and dynamic adjustment is conducted in combination with sensing; preparing an intelligent material, and performing plasma activation pretreatment; multi-nozzle collaborative printing and holographic monitoring are realized; intelligent packaging, unmanned driving and intelligent storage are achieved; aR auxiliary construction is combined with a brain-computer interface; and through simulation analysis and quality tracing, the quality and efficiency are guaranteed. According to the method, model creation is accurate, and multi-technology optimization components are split, printed, transported and constructed; the intelligent material, the robot and the AR are used for improving the quality efficiency; simulation analysis and quality tracing guarantee reliability, and intelligentization and sustainable development of buildings are promoted.

The invention relates to a preparation method of monodisperse spherical alumina powder with uniform granularity. The preparation method comprises the following steps: dissolving and stirring an aluminum source, a precipitator and a dispersing agent in ultrapure water to prepare an aluminum oxide precursor solution; transferring the prepared aluminum oxide precursor solution into a hydrothermal reaction kettle, carrying out heating reaction, after the hydrothermal reaction is finished, naturally cooling to room temperature, alternately and respectively washing with ultrapure water and ethanol, and drying to obtain aluminum oxide precursor powder; and sintering the prepared aluminum oxide precursor powder in a muffle furnace in an air atmosphere to obtain the spherical aluminum oxide powder. The hydrothermal method is adopted to react in a high-temperature and high-pressure environment, so that the reaction uniformity is improved, and the spherical aluminum oxide precursor with uniform granularity and consistent morphology is obtained. The bending strength of the obtained ceramic material is remarkably improved, and the highest bending strength reaches 245MPa. The method has wide application prospects in the fields of heat-conducting composite materials, integrated circuit films, substrate materials, 3D printing materials, precision polishing materials and the like.

The invention relates to a self-generating interbody fusion cage and a preparation method thereof, the interbody fusion cage comprises a porous tantalum support and bioactive piezoelectric ceramic arranged on the porous tantalum support, and the bioactive piezoelectric ceramic comprises hydroxyapatite and barium titanate; the preparation method comprises the following steps that the porous tantalum support is obtained through 3D printing, assembling positions of the bioactive piezoelectric ceramics are reserved on the upper surface and the lower surface of the porous tantalum support, the bioactive piezoelectric ceramics are embedded into the assembling positions of the upper surface and the lower surface of the porous tantalum support, and the weight ratio of barium titanate to hydroxyapatite is (92-98): (2-8). Compared with the prior art, the vertebral fusion cage has the advantages of promoting vertebral fusion by utilizing mechanical force in a human body to generate electricity, matching mechanical properties of a contact surface of the fusion cage, providing osteogenesis related ions, being relatively good in interface combination and the like.

The invention discloses a method for preparing a methylacryloyl chitosan / gelatin-based hydrogel wound dressing through 3D printing and application, and relates to a method for preparing a hydrogel wound dressing and application. The problems that existing MXene is high in photo-thermal conversion temperature, and bacteria rapidly breed again after near-infrared irradiation is closed are solved. The ZGC composite hydrogel wound dressing integrates multiple functions, can simultaneously realize hemostasis, antibiosis, anti-inflammation, vascularization promotion and cell regeneration, and is especially suitable for infectious wounds. The antibacterial performance can be achieved under the activation of near-infrared light through the dual effects of a photothermal therapy and a photodynamic therapy, and meanwhile, the antibacterial effect can be achieved in cooperation with Zn < 2 + >. The ZGC composite hydrogel wound dressing can be accurately customized and printed through a 3D printing technology according to the shape and depth of a wound, the composite dressing can achieve accurate low-temperature photo-thermal treatment, meanwhile, the continuous release of Zn < 2 + > and the physical antibacterial function of MXene are maintained, normal tissue is protected while bacteria are killed, and the healing rate of an infected wound is remarkably increased.

The invention discloses a photocuring 3D printing mechanism method for multi-material cooperative spraying, and relates to the field of cooperative control, and the photocuring 3D printing mechanism method comprises the following steps: layering a model, generating a material distribution map, and labeling a functional area and a transition area; a multi-nozzle array is used for accurately positioning and spraying according to the atlas; a gradual change path is planned in the transition area, and gradient change of material components is achieved through cooperative spraying; a partition curing strategy is adopted, ultraviolet light full curing and visible light semi-curing are adopted, and leveling is promoted in combination with micro-vibration; spraying a penetrating agent between layers to form a mechanical interlocking enhanced interface; based on visual online defect detection, printing parameters are fed back and adjusted in real time through a CNN model. The device and the method have the advantages that accurate mixing of multiple materials is realized through cooperative spraying of the multiple piezoelectric sprayers and gradual change path planning, and real-time defect detection and correction can be realized by matching with differentiated photocuring, high-frequency micro-vibration leveling and interlayer penetrating agent interlocking, so that high-precision multi-material functional component forming is efficiently completed.

The invention discloses a topological optimization method and device for a continuous fiber periodic unit cell structure, and relates to the technical field of continuous fiber reinforced composite 3D printing. Determining the configuration of the selected periodic unit cell structure; constructing a feature component in a design domain of a periodic unit cell, performing projection on a fiber angle to calculate an elastic matrix, and determining a weight coefficient in an overlapping region based on a component level set function so as to solve an equivalent elastic matrix; solving the equivalent elastic property of the periodic unit cells of the fiber reinforced composite material; constructing a unit constitutive matrix in an interpolation format; constructing a periodic unit cell structure topological optimization model by taking the flexibility as a target function; calculating the derivative of the flexibility about the design variable formed by the artificial density of the alternative unit cell material, and carrying out sensitivity filtering treatment; optimization iterative analysis is carried out under different working conditions, and the convergence degree of an optimization result is evaluated by using an inequality relation. The problem of how to further improve the mechanical performance of the periodic unit cell structure is solved.

The invention discloses a 3D printing process defect monitoring method and system based on a multi-modal large model. The method comprises the steps that S1, before related operation is carried out, corresponding preposition work needs to be completed, wherein the preposition work comprises knowledge graph creation, retrieval enhancement generation, reasoning and action framework and fine adjustment of the large model; s2, collecting and preprocessing industrial camera cluster data; s3, according to the preprocessed image, segmenting the image, constructing a region adjacency graph, finding an optimal region combination by applying a random algorithm, and combining some regions to obtain image representation; s4, calling the multi-mode large model subjected to pre-training and specific field fine adjustment to realize real-time defect monitoring in the 3D printing process; s5, a detection report is given according to a defect detection result, user interaction intelligent consultation is opened, and the model is updated and adjusted according to printing data; according to the method, the problems of standard, efficiency, trust and supervision of defect monitoring in the 3D printing process can be effectively solved.