10042results about "Manufacturing data aquisition/processing" 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 relates to the technical field of additive manufacturing, and particularly discloses a real-time defect detection and in-situ repair method and device in the additive manufacturing process, and the method comprises the steps that a multi-mode sensing system is integrated on additive manufacturing equipment, the multi-mode sensing system comprises a high-resolution CCD camera, a laser scanner and a thermal infrared imager, and data acquisition is synchronized; a hierarchical scanning strategy is adopted, two-dimensional surface images, three-dimensional point cloud data and thermal field distribution information are collected before and after each layer is machined, and the data synchronization precision is smaller than 0.1 ms; according to the invention, a multi-modal sensing system and an advanced algorithm are integrated, so that real-time detection and accurate repair of defects are successfully realized; a high-resolution CCD camera, a laser scanner, a thermal infrared imager and other sensors are adopted, a cross-scale RANSAC algorithm and a depth feature fusion network are combined, surface and internal defects are accurately detected, and laser remelting parameters are adjusted in real time for in-situ repair.

The invention discloses a 3D printing process intelligent control method and system based on real-time feedback, and relates to the technical field of 3D printing, a data acquisition module collects a printing layer surface image and printing data in real time, constructs an image data set and a printing data set, and performs cleaning and standardization processing on the data in a preprocessing module; the image analysis module analyzes surface defects of a printing layer by using a convolutional neural network, generates a defect score D, compares the defect score D with a preset defect score threshold D1, evaluates the state of the printing layer and triggers early warning, and the comprehensive evaluation module calculates a crack generation probability Z by combining printing data and the defect score; and the intelligent control module compares the crack generation probability Z with a preset crack generation probability threshold value Zl, evaluates the printing state and feeds back and controls printing parameters according to a result, so that crack and structure defects in the printing process are effectively prevented and reduced, and the printing precision and the finished product quality are improved.

A device comprises an array of voxels of solidified material defining at least one scan path, along which an error in a variable dielectric quantity at a target voxel is distributed by successive deposition and solidifying of a selected material along the scan path, in accordance with a prescription for the device. The prescription defines the dielectric quantity over the array of voxels.

The invention belongs to the technical field of 3D printing, and particularly relates to a 3D printing control method based on multi-material gradient transition, which comprises the steps of model processing, multi-material distribution, path planning, dynamic parameter control, online monitoring and feedback optimization. According to the method, through dynamic mixing of a nonlinear gradient function and multiple materials, limitation of traditional discrete material switching is broken through, continuous smooth transition of material attributes is achieved, printing parameters are dynamically adjusted, and the forming consistency of gradient materials under complex working conditions is remarkably improved; local strengthening is carried out according to the thermodynamic property difference of a multi-material interface, interface embrittlement caused by a traditional single process is avoided, the curing degree is detected in real time through a spectrum sensor, the problem that the curing degree of a traditional light curing process is uncontrollable is solved by combining partitioned UV light intensity adjustment and control, and precise gradient forming of a soft and hard alternate structure is achieved.

The invention relates to the technical field of additive manufacturing, in particular to a coaxial two-state in-situ material extrusion 3D printing interlayer enhancement method which comprises the steps of (1) data processing, (2) data reading and printing area dividing, dividing the printing area into an outer wall filling type and an inner filling type, and (3) adjusting printing parameters to obtain a coaxial two-state process control method. (4) a printing strategy and process parameters are automatically adjusted according to the printing area and the printing material, and when the program recognizes that the printing area is the outer wall, the normal printing process parameters are kept unchanged; and when the program recognizes that the printing area is internally filled, a coaxial double-state process control method is used for printing. According to the coaxial two-state in-situ material extrusion 3D printing method, on the premise of not additionally integrating parts and not additionally introducing a control system, the material extrusion interlayer strength can be effectively improved, and the coaxial two-state in-situ material extrusion 3D printing method has the advantages of being simple, efficient, free of directional limitation and the like.

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 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 discloses a 3D printing parameter optimization method and system based on artificial intelligence, and the method comprises the steps: scanning a printing object, determining the size and shape of the printing object, and obtaining a digital model of the printing object; the three-dimensional digital model of the printing object is divided into a plurality of layered sheets according to a preset rule, and a single-layer printing path, corresponding to each sheet, in the printing process is obtained; constructing a dynamic error analysis model, and calculating a geometric error index of the current slice; when any index exceeds a threshold value, triggering a parameter optimization process; inputting the real-time data and the error indexes into a pre-trained artificial intelligence optimization model to obtain a parameter adjustment scheme; actual forming data are obtained through a three-dimensional scanner, accumulative errors are calculated, and weight parameters of the artificial intelligence optimization model are updated. The method has the advantages that the real-time printing data is compared with ideal data, the printing parameters are dynamically adjusted through the artificial intelligence optimization model, the path is corrected according to errors, and the precision and quality of the printing process 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.

A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

The invention discloses a processing method and system for abnormal operation of photocuring 3D printing. The method comprises the steps that parameter values of all operation parameters in the printing process of photocuring printing equipment are collected; according to the parameter values, abnormal operation parameters in all the operation parameters are searched for; if the abnormal operation parameters are not found, inputting all the operation parameters and parameter values thereof into a pre-trained AI-based first printing fault prediction model, and predicting a potential printing fault type and a fault degree thereof; according to the printing fault type and the fault degree of the printing fault type, the parameter value of each operation parameter is adjusted, so that the predicted printing fault type is free of faults, and abnormal operation parameters do not exist in the operation parameters. By utilizing the embodiment of the invention, the timeliness and accuracy of fault detection can be improved by acquiring the real-time operation parameters, identifying abnormal conditions and predicting the fault type and degree based on the AI model, the automatic adjustment of the printing parameters is realized, and the stability and reliability of the printing process are ensured.

The invention belongs to the technical field of personalized insole manufacturing, particularly relates to a personalized insole manufacturing method and system based on three-dimensional motion capture and 3D printing, and aims to solve the problem that most existing insoles are generally manufactured and lack targeted design for consumers. The method comprises the following steps: preprocessing foot data of a target to obtain preprocessed foot data; performing feature extraction on the preprocessed foot data to obtain each foot feature; constructing a comprehensive feature vector of each foot feature based on the data source feature of each foot feature; performing mechanical analysis on the target based on the data source features to obtain a mechanical analysis result; performing multi-modal fusion on each comprehensive feature vector by using an algorithm to obtain a foot biomechanical model; and performing 3D printing of the insole based on the mechanical analysis result and the foot mechanical model. According to the method, scientific and objective data support is provided for comprehensive quantitative analysis of the motion state of the foot, and manufacturing of personalized insoles is guided.

The invention relates to a 3D printing method and system for a composite prestressed reinforcing rib, and solves the main problems of weak interlayer adhesive force, large thermal stress and lack of an effective reinforcing rib adding method in the mechanical property of an existing 3D printing technology. Printing parameters and prestress release are cooperatively controlled on the basis of characteristic parameters of printing materials through a stress linkage algorithm, vertical ribs are tensioned for the second time through an interlayer compensation algorithm every time a preset number of layers are printed, and the printing parameters are dynamically adjusted through a path optimization algorithm in a high-stress area; when printing is completed and the material is not completely cured, stress distribution of all the reinforcing ribs is scanned through a stress balance algorithm and adjusted to a preset deviation range, and it is ensured that stress distribution of the whole structure is uniform; and after the printing material and the reinforcing ribs are compounded and cured, corresponding curing is performed according to the characteristics of the printing material. The 3D printing structure has the following effects that the mechanical property and reliability of the 3D printing structure are improved, and the interlayer strength and the overall stress distribution are optimized.

The invention provides a multilayer metal medium metamaterial wave absorber and a 3D printing manufacturing method thereof.The multilayer metal medium metamaterial wave absorber comprises a plurality of structural units arranged in rows and columns, and each structural unit comprises a metal base and a plurality of hollow square ring-shaped metal-medium composite layers stacked up and down; the metal-medium composite layers are sequentially and vertically stacked on the metal base according to the side length sequence, and the sizes of the metal-medium composite layers are sequentially decreased from bottom to top. Compared with the prior art, the multi-layer metal medium metamaterial wave absorber has a high-efficiency wave absorbing effect in an ultra-wide frequency band; and the medium material and size can be flexibly selected, and the 3D printing additive manufacturing technology is utilized for manufacturing, so that the processing difficulty and the manufacturing cost are reduced.

A method for producing a textile material, such as a shoe upper, including providing a shaping carrier, such as a last; providing a plasticizing unit for melting a polymer composition to provide a molten polymer composition; providing a depositing unit with a dosing head which includes at least one nozzle; applying the molten polymer composition via the at least one nozzle on the shaping carrier in a filament forming a plurality of loops on the shaping carrier. The depositing unit and / or the shaping carrier are in a first movement moved relative to each other such that the at least one nozzle moves along a drive path which runs on the shaping carrier. During forming each loop, the dosing head and / or the at least one nozzle is moved in a second movement along a loop depositing path with a path length such that the length of each loop formed on the carrier is larger than the path length of the depositing path.

An additive manufacturing condition search device includes a defect database that accumulates a material, shape information, an additive manufacturing condition, monitoring information during modeling, and defect information in association with each other, a first machine learning unit that outputs an additive manufacturing condition corresponding to material information and device information, and outputs a new additive manufacturing condition from a combination of a plurality of the additive manufacturing conditions and the defect information, a specification unit that causes an additive manufacturing apparatus to perform modeling by the additive manufacturing condition, acquires the monitoring information during modeling, and acquires the shape information and the defect information by inspection of a modeled object, a second machine learning unit in which a model trained by using the defect database as train data estimates defect information of the modeled object from the monitoring information and stores the defect information in the defect database, and a determination unit that determines whether or not the defect information of the modeled object has achieved an evaluation target value.

The invention provides a pull-up DLP type 3D printer which comprises a workbench and an air source, a transmission mechanism is installed on the workbench, a printing platform is installed on the transmission mechanism, an air guide hole is formed in the printing platform, and the air source communicates with the air guide hole; a demolding hole communicated with the air guide hole is formed in the model, and the demolding hole at least downwards penetrates through one curing layer; and after the curing layer penetrated by one demolding hole is completed, compressed gas in the gas source can enter the demolding hole through the gas guide hole, so that the release film is gradually stripped from the curing layer from inside to outside. The invention further provides a 3D printing method. In the model printing process, after printing of one curing layer is completed, compressed air in the air source enters the demolding hole through the air guide hole, and the release film and the model are stripped from inside to outside; and meanwhile, the printing platform lifts the model upwards, so that the release film and the model are stripped from outside to inside, an inside and outside bidirectional stripping mode is formed, and the stripping speed and the printing speed of the release film are improved.

The invention relates to the technical field of denture manufacturing, and discloses a high-precision digital complete denture 3D printing method which comprises the following steps: obtaining an initial denture model of a target object; acquiring occlusal point adjustment data; acquiring actual adjustment data; adjusting the initial false tooth model based on the actual adjustment data, and converting the adjusted initial false tooth model into a 3D printing instruction for 3D printing; according to the method, stress distribution during occlusion is simulated through finite element analysis, a three-dimensional occlusion thermodynamic diagram is obtained and input into a constructed CNN network model, occlusion point adjustment data are obtained, adjustment data of effective occlusion contact points are mapped into a solid model, and actual adjustment data are obtained; three-dimensional data of the oral cavity of a patient is obtained through a scanner, digital analysis is conducted in combination with a neural network model, the denture manufacturing precision is improved, manufacturing is conducted in a 3D printing mode, the manufacturing efficiency is high, the patient feels comfortable when wearing the denture and occludes the denture well, and the problem of diet difficulty of the implant patient is solved in time.

Techniques are described for calibrating an optical system in an additive fabrication device using an image of the build surface within the device. These techniques allow calibration to be performed by imaging one or more calibration features generated on (or at) the build surface, which may include illuminated regions of the build surface, regions of the build surface on which solid material has been formed, and / or regions of the build surface to which energy has otherwise been directed thereby making those regions distinguishable from their surroundings. The calibration features may be produced (at least in part) by the optical system to be calibrated. The location of the calibration features within the image may be compared with the intended location of these calibration features, and corrections to the optical system determined based on any differences between the actual and intended locations.

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.

Systems and methods for calculating external bone loss for alignment of pre-diseased joints comprising: generating a three-dimensional (“3D”) computer model of an operative area from at least two two-dimensional (“2D”) radiographic images, wherein at least a first radiographic image is captured at a first position, and wherein at least a second radiographic image is captured at a second position, and wherein the first position is different than the second position; identifying an area of bone loss on the 3D computer model; and applying a surface adjustment algorithm to calculate an external missing bone surface fitting the area of bone loss.

The invention provides a patterned reinforcing material 3D printing method and system based on an acoustic manipulation technology, relates to the combination of the acoustic manipulation technology and a digital light processing (DLP) technology, and is used for manufacturing a composite material sample piece containing patterned reinforcing filler distribution. According to the technology, a three-dimensional model is designed through computer aided design software, plane ultrasonic waves are converted into a specific three-dimensional sound field through a digital acoustic hologram, and accurate control over reinforcing filler in photosensitive resin is achieved. The acoustic control system controls the distribution of the reinforcing filler, and the DLP projector is used for curing the composite material layer by layer. The method allows the digital acoustic hologram to be adjusted in real time so as to adapt to different reinforcing filler patterning assembly and reinforcing requirements. According to the technical scheme, the control capability of 3D printing on reinforcing filler distribution is improved, and the application field of the composite material is widened.

The invention provides a flow monitoring method and device for a 3D printing extruder, and relates to the technical field of additive manufacturing, and the method comprises the steps that material flow data are collected in real time through a multi-dimensional sensor array installed in the 3D printing extruder; transmitting the collected real-time flow data to a control system, and judging whether the material flow is within a preset range or not; according to the deviation between the flow data monitored in real time and the target flow, working parameters of the extruder are automatically adjusted, and adjustment is conducted through a closed-loop feedback control system till the flow is stable; and in the extrusion process, if flow data monitored in real time exceeds a normal working range, an abnormal alarm is triggered, and a corresponding fault processing program is started. The material flow can be accurately monitored in real time, and the working parameters of the extruder can be automatically adjusted according to the monitoring result, so that the stable supply of the material and the quality of the printing process are ensured.

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 present application provides a 3D printing method, device, 3D printer and computer equipment, wherein the method includes: obtaining a collection of slice images corresponding to a three-dimensional model to be printed; determining the cross-sectional information of the cross-section in each layer of slice images in the collection of slice images, and based on the cross-sectional information, calculating the printing difficulty value corresponding to each layer of slice images in the collection of slice images; based on the printing difficulty value, respectively determining the printing parameters corresponding to each layer of slice images, and determining the printing operation based on the printing parameters, so as to print the three-dimensional model based on the printing operation. In an embodiment of the present application, during the printing process, the printing parameters can be adaptively adjusted as the printing difficulty value of the slice images changes, thereby improving the printing success rate and printing quality, and at the same time improving the printing efficiency.

The invention provides a fault detection method, device and equipment for three-dimensional printing equipment. The method comprises the steps that printing raw material stress data and printing platform pressure data of a feeding system of the three-dimensional printing equipment are obtained; the printing raw material is detected according to the printing raw material stress data and a preset stress threshold value, and a printing raw material detection result is obtained; a printing head is detected according to the printing platform pressure data, and a printing head detection result is obtained; and determining a fault detection result according to the printing raw material detection result and the printing head detection result. The printing raw material stress data and the printing platform pressure data are obtained, the printing raw material and the printing head are detected respectively, and the fault detection result is determined according to the obtained printing raw material detection result and the printing head detection result, so that the method has the advantages of being convenient to operate and simple; and whether the printing raw material and the printing head break down or not can be detected at the same time, and the detection result is comprehensive and accurate.

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 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.