14 results about "Digital manufacturing" patented technology

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.

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

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 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 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.

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 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 application discloses a kind of digital assembly manufacturing method of engine self-destruction cartridge, comprising the following steps: S1, using optical measuring equipment to measure bonding profile (2);S2, the heterogeneous data of measurement is handled, and the digital three-dimensional model of cartridge profile is established;S3, three-dimensional model data is sent to numerical control bending cutting equipment to realize data-driven physical product production and manufacturing;S4, cartridge is delivered to final assembly workshop assembly site and formally assembled, and the digital manufacturing of the self-destruction cartridge is completed.The application solves the assembly adaptability, assembly reliability and other problems of pyrotechnics in the final assembly link in the field of aerospace, has the characteristics of data-driven, accurate manufacturing, simple operation, high efficiency and economy, and has good popularization and practical value in similar methods, and can produce good economic value after being widely popularized and applied, and has a good reference in the field of spacecraft adaptability assembly, digital assembly coordination.

This invention discloses a method for simultaneously predicting the stability and surface topography error of robotic milling, belonging to the field of robotic precision machining and digital manufacturing technology. It includes constructing a non-homogeneous dynamic model considering regenerative effects and static cutting force vectors. The robotic milling system is described as a non-homogeneous time-delay differential equation containing modal parameter matrices, periodic dynamic cutting force coefficient matrices, and static cutting force vectors. This invention simultaneously outputs two key process indicators—machining stability and surface topography error—in a single calculation process. It directly solves for the steady-state fixed point through analytical matrix operations, increasing the calculation speed by tens of times. By including non-homogeneous constant excitation terms caused by static cutting forces in the model, it accurately captures the tool deformation and forced vibration effects of a weakly rigid robot under cutting forces, making the predicted surface error more consistent with actual machining conditions.

The application discloses an AI shoe structure generation design method based on feature decoupling and topology maintenance, relates to the technical field of digital manufacturing, and comprises the following steps: constructing condition control parameters according to crosstalk measurement parameters, and performing topology consistency measurement on a structure state constrained by the condition control parameters to generate a topology risk field map; evaluating the risk level of the topology risk field map, freezing high-risk areas on the topology risk field map, generating a local structure freezing mask and a freezing curve index set, performing selected area consistency write-back processing and process constraint checking on the local structure freezing mask and the freezing curve index set, and outputting a manufacturable material mapping table. The application synchronously generates a topology risk field map by calculating crosstalk measurement parameters, quantitatively predicts potential influences of style creativity on structure integrity, and realizes end-to-end connection from digital space risk evaluation to manufacturing constraints in the physical world.

This invention provides a method and system for evaluating the digital processing capability of cylinder block products, relating to the field of digital manufacturing technology. The method includes the following steps: establishing a hierarchical model with the digital processing capability of cylinder block products as the overall objective; expert scoring: obtaining the pairwise importance comparison scores from multiple experts for indicators belonging to the same upper-level indicator in the hierarchical model; determining the relative weights of the indicators belonging to the same upper-level indicator based on the pairwise importance comparison scores; obtaining the evaluation results from multiple experts on the lowest-level indicator in the hierarchical model based on a set of comments; and determining the evaluation result of the digital processing capability of cylinder block products based on the set of comments, the evaluation results of the lowest-level indicator in the hierarchical model, and the relative weights of the indicators belonging to the same upper-level indicator.

The application discloses a large-span arch bridge digital pre-assembly manufacturing control method, relates to the technical field of bridge engineering digital manufacturing, and takes the semantic importance of components, the distribution density of point clouds and the design connection relationship as cores, constructs semantic weight, distribution weight and connection relationship weight, eliminates overall deviation through weighted centroid calculation and decentralization, fuses the weight to construct a covariance matrix and solves an optimal rigid transformation through SVD decomposition, realizes global optimization in combination with an improved graph cut algorithm, and finally outputs aligned point clouds containing manufacturing errors. The public segment is taken as a benchmark to calibrate a reference line shape, data support is provided for pre-assembly target line shape calculation of conventional segments, the alignment priority of the core area is effectively strengthened, sparse point cloud and local deviation interference is avoided, the overall splicing line shape consistency of arch ribs is ensured, and accurate technical basis is provided for segment splicing construction.