73 results about "Digital manufacturing" patented technology

The invention provides an optimization method for parameterization design of a steel formwork, and belongs to the technical field of building construction.The optimization method comprises the steps that a non-uniform rational B-spline surface parameter equation is established, steel formwork block parameterization design is carried out on the basis of the surface parameter equation, and a thickness distribution function and back arris spacing parameters are generated; constructing a support system mechanical parameterization model to determine support spacing optimization parameters and rod piece section sizes, and solving a double-layer decision-making system comprising an upper-layer template deformation minimization decision-making model and a lower-layer concrete surface flatness optimization response model by applying a game optimization algorithm; and a digital manufacturing instruction is generated to establish a mapping relation between a template number and geometric characteristics, a quality real-time monitoring system is established, configuration parameters are dynamically adjusted through a template adaptability evaluation function, and the technical problem that template deformation control is inaccurate due to the fact that design of the special-shaped concrete structure steel template lacks accurate parameterized optimization is solved.

The invention relates to the technical field of digital manufacturing and precision machining, and discloses a part machining method and system based on inspection planning and feature driving, and the method comprises the steps: reading a full three-dimensional model, analyzing a tolerance mark, instantiating the tolerance mark into a procedure inspection item node, and building a persistent reference; identifying geometric features and matching the geometric features with the inspection items to generate a to-be-tested feature set; measuring point distribution is calculated in a self-adaptive mode according to the feature types, and a collision-free measuring path is generated; converting the path into a numerical control code containing a radius compensation algorithm and embedding the numerical control code into a machining program; after the numerical control center executes measurement, abnormal data calculation deviation is eliminated, and a compensation value is written into a register to correct parameters. By establishing full three-dimensional model data association and applying curvature adaptive sampling and statistical data cleaning strategies, data faults of design and detection are eliminated, the problem of environmental noise interference is solved, and the precision control level of complex feature processing is improved.

The invention relates to the technical field of intangible cultural heritage protection, in particular to an intelligent pattern generation and material adaptation system and method for an intangible cultural heritage technology, and the system comprises a knowledge graph construction module, a hierarchical perception adversarial network module, a material adaptation module, a digital manufacturing module and a virtual prototype module. A knowledge graph containing pattern features, material attributes and association relationships thereof is constructed by collecting non-abandoned process pattern data, intelligent patterns conforming to non-abandoned aesthetics are generated, a material adaptation module analyzes feature parameters of the intelligent patterns and predicts adaptive material parameters, a digital manufacturing module generates a digital manufacturing instruction, and the digital manufacturing instruction is sent to the digital manufacturing module. According to the method, a complete digital link from pattern design to material manufacturing is established, the problem of systematic storage and application of traditional process knowledge is solved, and inheritance and development of non-abandoned processes are promoted.

The invention provides a precision casting and friction welding digital manufacturing method for a basic part of an aero-engine, which specifically comprises the following steps of: 1, preparing a blade by adopting a high-temperature alloy material through a precision single crystal casting process; 2, a titanium alloy / high-temperature alloy / carbon fiber composite material is adopted for preparing a blisk / turbine disk; 3, the blades and the blisk / turbine disc are connected through a linear friction welding technology, and connection of homogeneous or heterogeneous metal or nonmetal is achieved; 4, in the linear friction welding process, data of vibration and force-heat multi-frequency key factors are collected, and support is provided for construction of a digital twinborn model; and 5, a digital twinborn model of the linear friction welding process is constructed based on the collected data. According to the method, key factors such as vibration and force heat in the linear friction welding process are collected and reconstructed, the digital twinborn model is constructed, the welding process can be monitored in real time, the welding quality can be predicted, and a basis is provided for welding process optimization and component performance evaluation.

The invention belongs to the technical field of building information model (BIM) and digital manufacturing, and particularly discloses a BIM-based curtain wall metal keel component model data automatic circulation method and system.The method comprises the steps that firstly, a parameterized model of a curtain wall metal keel is established based on BIM software, and geometric dimensions, material attributes and connection node key information are defined; then geometric data and non-geometric data of the curtain wall metal keel are extracted from the parameterized model of the curtain wall metal keel, and the extracted data are converted into a JSON structured format; and finally, based on the kinematic model of the mechanical arm, the extracted geometric data and non-geometric data of the curtain wall metal keel are combined to plan and generate a cutter cutting path for curtain wall metal keel machining and production. According to the scheme provided by the invention, the seamless data link between the BIM model of the curtain wall metal keel and the numerical control machining equipment is established, so that intelligent, high-precision and batch production of the curtain wall metal keel component is realized.

The invention relates to the technical field of digital manufacturing, in particular to an unattended image three-dimensional printing retail device, aims to solve the problem that personalized hard entity commodities cannot be manufactured in real time, and comprises a main control module, a user data input module, an image processing module, a substrate storage module, a marking module, a forming module and a finished product delivery module. The image processing module generates contour data based on the original image; the marking module forms an image and a positioning mark on the hard or semi-hard substrate; and before forming, the main control module corrects contour data through the image and the positioning mark formed on the substrate, and controls the forming module to perform accurate forming according to the corrected data. Through visual calibration closed-loop control, full-automatic and real-time manufacturing and selling of high-added-value personalized hard commodities are achieved, and high precision and the yield are guaranteed.

The application discloses a node processing review and precision improvement method based on three-dimensional laser scanning, relates to the technical field of digital manufacturing and steel structure engineering precision control, and comprises the following steps: through multi-scale structure feature identification, basic attributes and topological relationship modeling are combined, effective guidance of design information to the whole detection process is realized, through enhanced feature tree driven scanning path planning combined with multi-view point cloud fine splicing strategy, the collaborative mechanism of scanning implementation and design features is embodied, high-quality data acquisition of key functional features is realized, through multi-scale feature corresponding set construction combined with an adaptive nonlinear least square optimization model, the idea of multi-level constraint collaborative participation registration is embodied, high-stability rigid body transformation solution is realized, through deviation field construction combined with function area confidence and effective error index calculation, the ability of detection result transformation to engineering decision is embodied, and the scientificity of correction and rework decision is improved.

The invention relates to the technical field of digital manufacturing and industrial information management, and discloses an information management system for a digital processing workshop, which comprises the following steps: acquiring an equipment abnormal event record to generate an equipment fault propagation sub-graph with observation evidence; calculating process similarity and screening source domain products; fusing the source domain priori causal graph to execute Bayesian causal structure learning to generate a posterior cross-process quality causal sub-graph; calculating a conditional Granger causal relationship to generate a cross-layer causal edge set; assembling a double-layer causal map; establishing an extended structured Bayesian network model; executing structured variational inference to output a joint attribution result; executing propagation path tracking to generate an attribution report with uncertainty quantization; according to the method, the technical problems that multi-source heterogeneous information of a device layer and a process layer cannot be effectively fused in the fault attribution process of the digital processing workshop in the related technology, cross-process causal structure learning is difficult to complete under the condition of a small number of samples, and the attribution result is lack of uncertainty quantification are solved.

To relate to a stator for an electric motor.SOLUTION: A manufacturing apparatus includes a build surface that receives layers of material for production of a three-dimensional solid representation of a digital model, and an imaging component for bonding respective portions of a build material into cross sections that represent portions of data contained in the digital model. An imaging component may be a programmable planar light source utilizing a micro-pixelation system and a refractive pixel shifting mechanism, or other imaging system. The apparatus may include a system for controlling a density of a printed part. An object may be a powder composite part using either a variety of powder feedstocks or plastic parts. The object may be further post-processed to produce high precision metal or ceramic component.SELECTED DRAWING: Figure 9

The invention discloses a sheet metal part manufacturability analysis method and system, and belongs to the field of sheet metal part digital manufacturing. The method comprises the following steps: establishing a structured rule base containing unit feature rules and inter-feature position relation rules; analyzing the three-dimensional model of the sheet metal part by using a rule-based feature recognition algorithm, recognizing manufacturing features such as bending, hole, sinking and the like, extracting parameters and topological information, and dividing a structured surface set; feature information and a design knowledge model are constructed based on ontology modeling, and structural mapping of feature parameters and topological relations and association of part ontologies and feature ontologies are achieved; and finally, through automatic matching of a design knowledge model and a rule base, combining an inference engine to complete compliance verification, and outputting a part-level manufacturability evaluation conclusion and a violation optimization suggestion. According to the method, through combination of the structured rule and the knowledge model, automation and accuracy of sheet metal part manufacturability evaluation are improved, and efficient technical support is provided for design and manufacturing process adaptation.

This application provides a spacecraft assembly design status integration construction system and method based on a 3D model, belonging to the field of spacecraft design and manufacturing technology, aiming to solve the problems of information silos and collaborative difficulties in spacecraft assembly design. The system includes an assembly status integration display module and a component technical requirement planning and definition module. The assembly status integration display module, based on a professional design architecture, aggregates, lightweights, and integrates multi-disciplinary layout components into a unified architecture, and parses and manages design information. The component technical requirement planning and definition module, within the whole-vehicle model environment, provides structured definitions and management of assembly technical requirements. This application breaks down information barriers, improves collaborative efficiency, and lays the foundation for digital manufacturing by constructing a unified and information-complete digital prototype.

The method for digitally designing and manufacturing made-to-measure packaging for an object includes recognizing the object; automatically determining the family of objects to which the object belongs; automatically determining a sub-family to which the object belongs according to the morphology of the object; evaluating the dimensions of the object; determining the packaging model of which the internal volumetric space is capable of containing the object; identifying, locating, defining and quantifying the preferred wedging areas; creating a 3D digital design of the packaging and its preferred wedging areas; digitally decomposing the packaging and its preferred wedging areas by creating different complementary elementary layers by means of digital slicing; reproducing the different layers by cutting a suitable material in sheet form in order to obtain strata, and subsequently stacking and / or juxtaposing, positioning, assembling and securing the different strata to form the packaging.

The invention relates to the technical field of dental restoration, in particular to a digital manufacturing method and system of a false tooth. The method comprises the following steps: carrying out attribute editing on a three-dimensional model of a finished tooth to establish a template database comprising one or more three-dimensional models of the finished tooth; obtaining oral cavity data of a patient, and performing tooth arrangement design and base plate design; based on the virtual false tooth model, determining a three-dimensional model of a positioning auxiliary body for positioning a corresponding finished tooth object; manufacturing a materialized positioning auxiliary body according to the three-dimensional model of the positioning auxiliary body; and performing physical positioning and arrangement on a finished tooth object corresponding to the finished tooth three-dimensional model by utilizing a materialized positioning auxiliary body, and combining the finished tooth object with a gingival base material to form the false tooth. Physical finished teeth are integrated into a digital working process, and the problem that the finished teeth are difficult to be efficiently utilized by a digital scheme is solved.

The embodiment of the invention provides a machining procedure distribution method and device for a workpiece capable of reentering a mixed-flow manufacturing production line, and relates to the technical field of digital manufacturing. The method comprises the steps that a plurality of to-be-selected machining devices matched with to-be-distributed machining procedures are determined for each to-be-distributed machining procedure of a target workpiece, a machining procedure priority sequence of the to-be-selected machining devices is obtained, and the machining procedure priority sequence comprises a plurality of distributed machining procedures; determining a distribution score of the to-be-selected processing equipment relative to the to-be-distributed processing procedure according to a difference value between the target processing frequency and the current processing frequency of the to-be-distributed processing procedure, the completion delivery time of the target workpiece, the current distance between the target workpiece and the to-be-selected processing equipment and the number of distributed processing procedures of the to-be-selected processing equipment; and selecting the to-be-selected processing equipment with the highest distribution score as target processing equipment for executing the to-be-distributed processing procedure. By means of the method, mixed-flow manufacturing and reentrant manufacturing can be achieved, and the execution priority of the machining procedures can be flexibly distributed and adjusted.

The present application belongs to the field of industrial software and digital manufacturing technology, and particularly relates to a wind power equipment full life cycle digital clue construction method. The method comprises the following steps: step 1, constructing a unified data model covering the full life cycle of wind power equipment; step 2, constructing a digital clue framework; and step 3, business cooperation and feedback based on the digital clue. The method breaks through the data barriers among the design, manufacturing and operation stages by constructing a unified data model and a digital clue framework taking BOM as the main line, and realizes accurate mapping of full life cycle data and automatic business cooperation by using BOM dynamic mapping technology based on semantic understanding and a rule engine.

The invention discloses a platform calibration system and method and digital manufacturing equipment, and the system comprises a bearing platform which is provided with a calibration station; the calibration mechanism is arranged at the calibration station and comprises an image acquisition structure and a driving structure, the image acquisition structure is used for acquiring a position image of the bearing platform, and the driving structure is connected with the bearing platform; and the control unit is connected with the image acquisition structure and the driving structure and is used for receiving the position image, calculating a position deviation value between the position image and a preset standard position and controlling the driving structure to drive the bearing platform to move so as to compensate the position deviation value. The real-time data of the current position are acquired through the image acquisition structure, the control unit compares the real-time data of the current position of the bearing platform with the preset standard position, and the position deviation value is calculated; and the driving structure accurately moves the bearing platform according to the instruction so as to compensate and eliminate the position deviation, and full-automatic and high-precision position calibration based on visual feedback is realized.

The invention relates to the technical field of digital manufacturing, in particular to a wind power tower manufacturing digital operation cooperation system, which comprises the following modules: a data acquisition layer module, which is used for deploying a sensor, acquiring data in real time and transmitting the data to a data processing layer, and the content of the acquired data comprises one or more of production equipment, a technological process and product quality; the data processing layer module is used for cleaning, converting and storing the collected data, establishing a unified data warehouse, mining and analyzing the data by using a data analysis algorithm, and providing support for production decision making; and the application layer module comprises a production plan management sub-module and a process control sub-module. The technical problems that in traditional wind power tower drum manufacturing, a production plan mode is large in hysteresis quality and cannot adapt to the modern manufacturing industry are solved. On the basis, the invention provides a digital operation cooperation method for manufacturing the wind power tower drum.

The invention provides a method and a device for generating an OFD (Open Forwarding Detection) operation instruction supporting multimedia embedding, and belongs to the technical field of digital manufacturing and format document processing. In order to solve the problem that a video, a three-dimensional model and the like cannot be efficiently and automatically integrated into an OFD document as interactive embedded resources, the method comprises the following steps: acquiring multi-source heterogeneous content data containing the video or the three-dimensional model; presetting an OFD document template containing a content anchor point; establishing a mapping relationship between the content data and the anchor points and configuring a service logic rule; responding to the generation request, and generating OFD page content according to the mapping and rule filling template; and finally, packaging the page content and the multimedia resources according to the OFD standard specification, and generating an OFD document which takes the multimedia resources as embedded resource management. The invention further provides a corresponding device, and the generation efficiency, the guiding effect and the system flexibility can be improved.

This invention discloses a system and method for automatically customizing shoe lasts, including modules and methods for automatic model alignment, automatic extraction of foot shape feature parameters, shoe last size adjustment, foot deformation simulation calculation, and automatic generation calculation of customized shoe lasts. It is used to automatically adjust a standard shoe last model and the user's foot shape model into a customized shoe last model that conforms to the user's foot shape when wearing shoes. The system and method for automatically customizing shoe lasts of this invention require almost no human intervention in the customization design process. After inputting the user's foot shape model, a customized shoe last model is automatically generated, greatly improving design efficiency and realizing design automation. This provides an efficient and low-cost implementation model for large-scale customized shoe businesses. Due to the fully digital design process and input / output, it can easily interface with front-end data acquisition modes and back-end digital manufacturing terminals.

The application provides a stamping shape and performance synergistic control digital process design system, method, medium and equipment, belonging to the field of metal material plasticity processing and digital manufacturing. The application aims to solve the technical problem that the stamping process design is difficult to synergistically optimize the shape precision and use performance of the formed part. The system comprises: a multi-field coupled finite element simulation module for simulation using a coupled constitutive model considering the influence of temperature, strain and phase change; a shape and performance synergistic target decision module for evaluating the simulation results based on a multi-target evaluation system including shape precision and use performance indicators; a process parameter intelligent optimization module for using a hybrid optimization strategy combining machine learning and meta-heuristic algorithms to optimize the stamping process parameters based on the evaluation results. The application can realize shape and performance synergistic optimization, improve the overall quality of the product, and shorten the development cycle.

This invention relates to the field of aircraft assembly technology, and more particularly to an aircraft door repair method based on measured data. It includes: processing the original point cloud data using filtering and denoising algorithms, and filling in sharp boundary missing areas using point cloud interpolation algorithms to enhance point cloud quality; identifying the geometric boundary features of the door and fuselage frame using a feature-aware boundary extraction algorithm; calculating the door repair amount based on the minimum clearance principle, and outputting a precise door repair line. This invention achieves accurate geometric identification and repair trajectory generation for thin-walled, complex curved surface door structures. This method effectively solves the geometric deviation problem caused by manufacturing errors and structural deformation in door repair, significantly improving the automation level, assembly accuracy, and processing efficiency of aircraft door repair, and providing highly reliable data support and technical path for digital manufacturing in aviation assembly.

The invention belongs to the field of aircraft digital manufacturing, and relates to a curved surface reverse reconstruction method based on MATLAB software, which comprises the following steps of: establishing section model point location data based on reverse point cloud data of an aircraft profile; according to the method, automatic plane grouping of point location data, conversion from a three-dimensional point location to a two-dimensional point location, two-dimensional curve polynomial fitting data discretization, conversion from the two-dimensional point location to the three-dimensional point location and three-dimensional point location data output are achieved through MATLAB programming, and curved surface reverse reconstruction is conducted in three-dimensional CAD software by outputting the three-dimensional point location. According to the method, the unique advantages in the aspect of MATLAB mathematical modeling are fully played, the defects of point interpolation quasi-overfitting and large local fluctuation are effectively overcome through two-dimensional curve polynomial fitting, the overall trend of the curved surface is truly reflected, the influence of noisy points is effectively restrained, and the curved surface of the reconstructed curve is smoother and smoother.

This invention relates to the field of digital manufacturing and industrial information management technology, and discloses an information management system for a digital processing workshop, comprising: acquiring equipment abnormal event records to generate a subgraph of equipment fault propagation with observational evidence; calculating process similarity to screen source domain products; fusing source domain prior causal graphs to perform Bayesian causal structure learning to generate a posterior cross-process quality causal subgraph; calculating conditional Granger causal relationships to generate a set of cross-layer causal edges; assembling a two-layer causal graph; establishing an extended structured Bayesian network model; performing structured variational inference to output joint attribution results; and performing propagation path tracing to generate an attribution report with uncertainty quantification. This invention solves the technical problems in related technologies of digital processing workshop fault attribution, such as the inability to effectively integrate multi-source heterogeneous information from the equipment layer and process layer, the difficulty in completing cross-process causal structure learning under limited sample conditions, and the lack of uncertainty quantification in the attribution results.

The present application relates to a kind of transfer system for digital production line, belong to digital manufacturing technical field, solve the problem that subsequent machining precision of workpiece is not stable due to the positioning accuracy of workpiece is not high when being handled in existing digital production line.The present application includes longitudinal moving unit, transverse moving unit, vertical moving unit, grabbing unit, preloading unit and loading positioning unit, transverse moving unit is installed on longitudinal moving unit, vertical moving unit is installed on transverse moving unit, grabbing unit is installed on vertical moving unit, and grabbing unit is used to take and place workpiece;Loading positioning unit is installed on preloading unit, and workpiece is installed on preloading unit by loading positioning unit, and positioning adjustment is carried out to workpiece simultaneously.The present application improves the precision of subsequent different machine tools between workpiece flow processing, and guarantees workpiece machining precision stability, so as to improve the machining quality of workpiece and the stability of quality.

The application relates to the fields of oral medicine and digital manufacturing technology, and discloses a segmented embedded structure digital design and manufacturing method for a toothless jaw implant bridge, which comprises the following steps: collecting and preprocessing multi-modal data of a patient; reconstructing a three-dimensional model and marking key anatomical markers; virtually arranging teeth for the patient and optimizing implant positioning; designing a bridge segmentation and embedded connection structure; performing biomechanical simulation and optimizing structure parameters to obtain an optimized bridge segmentation model; performing digital manufacturing and post-processing; converting the optimized bridge segmentation model into a physical bridge segmentation and performing post-processing; performing clinical trial and completing final prosthesis production; through steps 2, 4 and 5, the balance between biomechanics and clinical experience is realized through stress and comfort double-index control; through bridge segmentation, single-time positioning resistance is reduced, and positioning success rate and positioning accuracy are improved.

The invention belongs to the technical field of airplane digital manufacturing, and discloses a control method for driving the difference between manufacturing configuration and design configuration, which comprises the following steps of: controlling EBOM data, product digitization and signature tasks and process files for implementing design change in PDM, establishing a data control tool platform, integrating the data control tool platform with the PDM, and establishing a data management and control tool platform; importing complete design configuration state EBOM data into a data management and control tool platform, and creating a data initial engineering configuration baseline; the EO is generated, and EO monitoring tasks are generated and pushed to a data management and control tool platform one by one; the EO monitoring task completely inherits design state data and implemented process state data; through the unique part number and father-child level three-generation relation, the part number position is accurately positioned, the design configuration state EBOM data is automatically updated, and the design state is kept to be the latest state. Through the unique part number and father-child level three-generation relation, the part number position is accurately positioned, and the EBOM data is automatically updated.

A method for three-dimensional reconstruction and parameter measurement of complex geometric bodies based on structural constraints. By introducing structural prior information in the modeling stage, the geometric constraints are converted into functional dependence between parameters, and combined with continuous and differentiable implicit representation, high-precision reconstruction and stable parameter optimization of complex structure targets are realized. In the presence of noise, local missing or uneven sampling of point cloud data, stable reconstruction and size parameter measurement of complex structure geometric bodies can be achieved. The output parameterized model has structural constraint relationship and can be widely used in precision measurement, industrial detection, reverse engineering modeling and digital manufacturing.

A digital intelligent manufacturing control method for household appliance glass products and an integrated system are characterized in that fixed-length cutting is carried out on a glass tube in a fixed-length tube cutting device, specifically, a servo motor is adopted to rotate for turns to reach a set length, then a cutter is fed to rotate a cutting opening, and a cutting position is heated through flaming; the workpiece is subjected to self-stress separation at the cutting opening position through thermal expansion and cold contraction; then a clamping hand of the conveying device is instructed to move the workpiece to be pressed between the neck pressing crank arm wheel and the forming shaft die to form the kettle neck; then a fire spraying ring is instructed to heat one end of the workpiece to complete a pipe opening, and sharp edges of the pipe opening end of the workpiece are eliminated; the driving air cylinder can drive the spout forming wheel to move up and down, and when the spout forming wheel moves downwards to a workpiece, after the spout forming wheel presses the workpiece to form a spout shape, the pressing die wheel and the protruding strip forming groove wheel which is matched with the pressing die wheel to synchronously and reversely rotate at the same speed work to form partial arc protruding strips. And finally, the workpiece is conveyed to a heat treatment device for overall tempering of the kettle body, so that a work cycle is completed.

The invention relates to the technical field of digital manufacturing and intelligent process planning. The invention discloses a multi-variety small-batch adaptive process planning method based on a process knowledge graph. The method comprises the following steps: constructing a dynamic knowledge graph of processing process-equipment capability-quality characteristics; in combination with order parameters and equipment states, performing real-time reasoning based on the dynamic knowledge graph to generate an optimal process path; and continuously optimizing the remodeling strategy by utilizing reinforcement learning. According to the method, a dynamic knowledge graph of processing technology-equipment capability-quality characteristics is constructed, an optimal technology path is generated through real-time reasoning in combination with order parameters and equipment states, and a remodeling strategy is continuously optimized through reinforcement learning. The bottleneck that a traditional CAPP system depends on artificial experience, is slow in response and cannot adapt to multi-variety small-batch mixed line production is solved, the process planning time is shortened from the hour level to the minute level, and the remodeling efficiency is improved by 40% or above.

The application discloses a production line design method suitable for digital assembly of small turbofan engines and belongs to the technical field of digital manufacturing. The design method comprises the following steps: step one, dividing an assembly process; step two, designing an overall business process based on the divided assembly process and in combination with business management regulations; step three, designing overall system functions and a network integration architecture based on the overall business process; step four, carrying out production line layout according to the overall system functions and the network integration architecture in step three; and step five, designing key equipment of the production line according to the assembly process in step one and the production line layout in step four. The application can realize digital assembly of multi-variety, small-batch small turbofan engines, improve engine assembly quality and efficiency, reduce assembly error rate, shorten assembly cycle and improve resource utilization.