445 results about "Computer Aided Design" patented technology

The invention relates to the technical field of computer aided design, in particular to a text-driven CAD modeling method and system based on a diffusion and visual language model.The method comprises the steps that natural language text description is obtained, and CAD semantic features of the natural language text description are extracted; carrying out geometric standardization on the CAD semantic features by adopting a fine-tuning diffusion model, and generating a CAD view image conforming to engineering specifications; carrying out fusion by adopting a fine-tuned visual language model to generate a parameterized CAD construction sequence; a three-mode alignment mechanism is adopted, and the semantic consistency of the CAD semantic features, the CAD view images and the CAD construction sequences is checked; performing verification and post-processing on the CAD construction sequence, and outputting an executable Python code or STEP file; the CAD modeling method disclosed by the invention performs explicit modeling based on flexible modal description, and has the characteristics of high geometric constraint and high usability.

The invention discloses a three-dimensional physical field real-time prediction method and system based on geometric deep learning and physical constraint, and relates to the technical field of computer-aided engineering and artificial intelligence. The method comprises the following steps: directly extracting native boundary representation data (B-Rep) of a three-dimensional model from a computer aided design system; constructing a heterogeneous dual graph taking a parameterized curved surface as a graph node, skipping finite element grid division, and aggregating local and global topological features by using a graph neural network; in combination with a physical information driving mechanism, a partial differential equation (PDE) residual error is introduced as a loss function for constraint training, and generalization prediction of a novel geometric structure is realized; and finally, the physical field state quantity is predicted through direct regression and is rendered in real time. An incremental reasoning mechanism based on a local topology subgraph is adopted, millisecond-level physical field real-time feedback under design modification is achieved, and the method is suitable for scheme rapid screening and trend prediction in the initial stage of design.

The invention belongs to the technical field of computer aided design and structural design, and discloses a multi-scale lattice structure and a design method thereof. The design method comprises the following steps: S1, designing a cubic unit cell with eight symmetrically distributed corner nodes according to a cubic lattice structure; s2, all the lattice unit cells are zoomed, one part of the lattice unit cells are zoomed into small lattice unit cells with the size being half of the original size, and the other part of the lattice unit cells are large lattice unit cells with the original size reserved; s3, in the macroscopic lattice structure, arranging the position relation of the small lattice unit cells and the large lattice unit cells; and S4, through a computer aided design method, adjusting the macroscopic lattice structure by adopting a large and small lattice unit cell connection mode based on rod diameter transition. A multi-scale large and small lattice unit cell arrangement mode is introduced into the lattice structure, so that the lattice structure has better mechanical performance under the same compression load.

The invention discloses a natural language driven CAD (Computer Aided Design) modeling method based on multi-agent collaboration. According to the method, a collaborative mechanism of a structure planning agent, a parameter completion agent and an execution verification agent is introduced, and the method comprises the steps that firstly, a structure planning agent analyzes natural language description and generates an abstract syntax tree structure meeting a CAD modeling rule; then, on the premise that the structure of the abstract syntax tree is kept unchanged, a parameter completion agent predicts and completes all symbol and numerical parameters, and a complete CAD modeling instruction sequence is generated; and finally, the execution verification agent performs structure and parameter dual verification on the generation instruction by using the geometric kernel, and feeds back and corrects if necessary. According to the method, a strategy of combining field adaptive full-parameter pre-training and task specific fine tuning is adopted in a training stage, and a structure-parameter decoupling modeling and closed loop verification mechanism is introduced, so that the structure accuracy, the parameter matching property and the geometric performability of a generated result are effectively improved.

The invention relates to the technical field of computer aided design and BIM (Building Information Model), discloses a BIM ancient building component parameterization design method and system fused with a historical form and system, and aims to solve the problems of parameter distortion, low modeling efficiency, high rework rate and the like caused by disjunction of a historical building rule and a BIM in the prior art. The method comprises the following steps: acquiring a historical shape and system standard text data set; a component-region-geometry triple knowledge graph is constructed; outputting Bezier curve control points conforming to regional characteristics through a lightweight curvature parameter generation network; generating an initial model in the BIM; a dynamic geometric constraint engine is used for verifying whether parameters such as the roll-killing radian and curvature continuity are out of tolerance or not in real time, and visual feedback and correction suggestions are triggered; and the model is automatically updated after user confirmation. The modeling precision and efficiency are remarkably improved, the rework rate is reduced, and the requirements of ancient building protection engineering specifications are met.

The invention discloses a deformation compensation method for a 3D printing model of an oral implanting guide plate, and belongs to the technical field of computer-aided design and manufacturing. The method comprises the steps that original three-dimensional model data of the oral implanting guide plate is obtained; performing dynamic hierarchical stress accumulation analysis on the original three-dimensional model data, and generating a dynamic stress evolution field for describing the internal stress distribution and change of the model in the virtual printing process; based on the dynamic stress evolution field, generating an adaptive compensation transformation matrix for correcting geometric deformation; and performing compensation transformation on the original three-dimensional model data by using the self-adaptive compensation transformation matrix to generate high-fidelity compensation model data. A self-adaptive compensation transformation matrix is generated through dynamic hierarchical stress accumulation analysis to preprocess three-dimensional model data, complex deformation in the printing process can be accurately predicted and compensated, and therefore the forming precision of a printed piece is remarkably improved.

The invention discloses a non-standard goods shelf intelligent design method and system based on a parameterized model, and relates to the technical field of computer aided design, and the method comprises the following steps: collecting parameters, and carrying out abnormal value elimination and dimension unified processing to generate a standardized demand parameter set; defining core structure parameters and establishing a component association rule, and constructing a parameterized basic model through three-dimensional modeling; the storage rack structure is optimized by combining storage mechanics and material mechanics characteristics, stress concentration is reduced, and deformation under rated load is controlled; a simulation environment is built for statics and dynamics simulation, and a simulation test report is output; screening an optimal parameter combination to generate a detailed design scheme; and receiving user feedback, adjusting parameters and material selection in combination with production feasibility and cost budget, and repeating optimization simulation steps to generate a final scheme. Efficient design of the non-standard goods shelf is achieved through parametric modeling and intelligent optimization, the structure is safe and reliable, the material utilization rate is high, and the design quality and efficiency are remarkably improved.

The invention relates to the technical field of computer aided design, in particular to a method for designing a high-temperature and high-toughness titanium alloy based on machine learning and a preparation method. The method comprises the following steps: acquiring components, a heat treatment process and corresponding tensile property data of a titanium alloy, constructing a titanium alloy data set and defining an exploration space; cleaning the titanium alloy data set, dividing the titanium alloy data set into a training set and a verification set, and normalizing the training set and the verification set; training the titanium alloy tensile property prediction model through a machine learning model and a training set, and evaluating the model through a cross validation method and a validation set; the components and heat treatment process parameters of the high-temperature and high-toughness titanium alloy are obtained through the trained prediction model, the genetic algorithm and the exploration space; according to the components of the high-temperature and high-toughness titanium alloy, the high-temperature and high-toughness titanium alloy is prepared through electric arc melting, and heat treatment is conducted according to heat treatment process parameters of the high-temperature and high-toughness titanium alloy. According to the method, collaborative intelligent design of titanium alloy components and the process is achieved, and the development efficiency is remarkably improved.

The invention belongs to the field of computer aided design systems, and relates to a CAD multi-modal data set automatic construction method, which comprises the following steps of: firstly, rendering a three-dimensional CAD model to be marked into a standardized multi-view two-dimensional image set through a data processing system, enhancing a multi-modal large model by utilizing a keyword vector and a low-rank adapter, and constructing a multi-modal data set; the method comprises the following steps of: extracting a geometric label from an image as a hard constraint, generating a text description of a natural language, then verifying a labeling result through a self-consistent strategy, and finally associating the multi-view two-dimensional image, the geometric label and the text description with an original model to construct a high-quality CAD multi-modal image-text pair data set. According to the method, visual feature extraction and language description generation are decoupled into two subtasks with clear purposes, so that the labeling consistency and the recognition precision are improved, and low-cost automatic construction of large-scale CAD data is realized.

A computer-implemented method for modeling thermal and electrochemical properties of lithium-ion battery packs is disclosed. A physics-based thermo-electro-chemical battery model is received comprising electrochemical reaction equations and thermal transport equations. A computer aided design (CAD) file is imported defining physical cell arrangements within a battery pack. Thermal connectivity matrices are automatically generated from the CAD file, where the matrices define heat transfer pathways between adjacent cells. A scaling algorithm transforms single-cell Single-Particle Model (SPM) equations into multi-cell coupled differential equations for the battery pack. The thermal and electrochemical behavior are simulated across the battery pack using the scaled equations to determine at least one battery performance characteristic based on the simulation.

The invention provides a three-dimensional part retrieval method based on graph similarity search, relates to the field of computer graphics, and solves the technical problems that in the prior art, geometric and design semantic information of CAD cannot be fully utilized, and a topological relation is difficult to capture and display, so that the retrieval efficiency is low. The method comprises the following steps: acquiring part three-dimensional data of a computer-aided design (CAD) model, and constructing a training data set; constructing an edge-surface connection diagram based on the three-dimensional data of the part; calculating a graph editing distance (GED) matrix of all edge surface connection graphs in the training data set as a supervision signal; based on the GED matrix, training a sorting model, mapping an edge-surface connection graph to a hidden space, and constructing a part vector database according to an output graph-level embedding vector; the sorting model is constructed based on a graph attention network; and inputting a to-be-queried CAD part into the trained sorting model to obtain a feature vector, carrying out nearest neighbor search in the part vector database, and returning a similar part result.

The invention relates to the technical field of aero-engine aerodynamic optimization and computer aided design, and discloses a response surface modeling-based aero-engine low-pressure turbine blade leading edge model numerical optimization design method and structure. According to the method, the wake injection angle is changed by adjusting the flow or the rotating speed of a rotor, accurate matching of Klebanoff stripes and large-scale vortex generation opportunities is achieved, stripe impact is promoted, and large-scale vortex fracture is accelerated; and meanwhile, by constructing a blade front edge modeling parameterization model and establishing a response surface agent model of a modeling design variable parameter combination and a boundary layer velocity mean square error, an optimal design variable parameter combination is determined in a constraint domain by taking maximization of the velocity mean square error in a boundary layer as a target. On the premise that the blade profile load is not changed, the momentum thickness and the total pressure loss of the boundary layer are effectively reduced, the design efficiency and the engineering applicability under the working condition of the low Reynolds number are improved, an additional flow control structure does not need to be introduced, and the structure is simple and easy to implement.

The invention belongs to the technical field of computer aided design, and relates to an indoor decoration design intelligent optimization and management system based on artificial intelligence, and the system comprises a data obtaining module which obtains initial physics parameters and geometric tolerance information; the atlas construction and maintenance module is used for mapping the connection relation between the components into a physical interaction relation edge; the change identification and task generation module is used for generating a characteristic constraint solving task; the constraint solution and conflict resolution module is used for correcting the instruction to update the unified physical characteristic spectrum; the coupling verification and risk assessment module generates a comprehensive physical risk report; the feedback regulation and suggestion generation module is used for optimizing suggestion feedback to drive a new design change instruction; and the file generation and output module is used for generating a digital design file and synchronously generating an intelligent bill of materials. According to the method, the problems of repeated modification and resource waste due to the fact that a designer invests a large amount of time on a scheme which does not conform to physical constraints and finds problems until a later checking stage are solved.

The invention discloses an airflow organization optimization design system and method based on a clean room tuyere, and relates to the technical field of clean room tuyere design, the system comprises a digital twin model construction module, a real-time data acquisition module, a problem identification module, a parameter simulation optimization module and a pre-debugging scheme output module; according to the method, the digital twin model of the clean room is constructed through computer-aided design and linked with real-time operation data, conversion of airflow organization optimization from static design to dynamic response is achieved, the problem that in the prior art, an optimization scheme is disjointed with an actual operation scene is solved, and by automatically recognizing problematic tuyeres and simulating and optimizing a parameter adjustment scheme, the optimization efficiency is improved. Traditional blind debugging depending on manual experience is replaced, repeated trial and error are avoided, the debugging accuracy and efficiency are improved, stable maintenance of cleanliness indexes of the clean room is guaranteed, meanwhile, the influence of the debugging process on the production progress is reduced, and powerful support is provided for efficient and reliable operation of the clean room.

The invention discloses a CAD (Computer Aided Design) program generation method based on a multi-view freehand sketch and a cross-modal Transform, which comprises the following steps: acquiring freehand sketch images of three views, and preprocessing each freehand sketch image; the preprocessed freehand sketch images are used as input of a trained CAD program model; according to the method, by designing a CAD program model comprising a visual encoder network, a fusion module, a cross-modal alignment module and a CAD sequence generator, the structural integrity and geometric consistency of freehand sketch image modeling are effectively improved, the generated CAD program sequence conforms to parametric modeling logic, and the reliability and accuracy of a modeling result are improved; according to the method, hierarchical position coding vectors and hierarchical constraint masks are added in a CAD program model training stage, the stability of a generation result in the aspects of structural rationality, geometric consistency and performability is improved, and the method is suitable for freehand sketch input under different drawing habits and imaging conditions and has good robustness and universality.

The invention discloses a three-dimensional visualization method, system and device based on heterogeneous spatial data fusion and dynamic sectioning, and a medium, belongs to the technical field of urban information model visualization, and aims to solve the technical problem of how to improve data fusion efficiency, sectioning response delay and mobile terminal frame rate in a million patch scene. Light-weight and high-interaction visual display of scenes such as smart cities and underground pipe galleries is realized, and the defects of multi-source spatial data splitting, high sectioning interaction delay and poor cross-terminal compatibility are overcome. According to the technical scheme, heterogeneous data dynamic normalization is carried out, wherein local coordinates of a building information model, WGS84 coordinates of a geographic information system and computer aided design data are unified to an Euclidean coordinate system through a space dynamic reference conversion algorithm, and normalized data are obtained; constructing a semantic data relation graph; generating a dynamic sectioning plane in real time; vector elements are highlighted in a linkage manner; and carrying out cross-terminal adaptive rendering.

The invention discloses a data processing system and method for big data modeling, and belongs to the technical field of data processing.The method specifically comprises the steps that feature tree operation records, geometric grids and constraint solving logs are collected in a computer aided design environment and combined into an initial data packet, and a design number and a time stamp are bound; respectively converting the three types of data into a topological sequential sequence, a graph data structure and a constraint conflict trajectory sequence, and unifying the topological sequential sequence, the graph data structure and the constraint conflict trajectory sequence into a sample unit format; generating a geometric semantic slice sequence and bidirectional index mapping on the graph data structure according to a topological time sequence, generating a multi-view rendering result for the slice, synthesizing a tensor, and keeping an index relationship from pixels to topological entities; performing time sequence alignment based on the multi-view rendering tensor, the topology time sequence and the constraint conflict trajectory sequence, generating a geometric sample index table, and performing fragmentation storage; and finally, exporting a uniform-format data packet containing a graph data structure, a time sequence and image features from the index table for direct reading of a big data modeling processor.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using three-dimensional model synthesis processes. A method includes: obtaining a build angle, a manufacturing direction, a design space, and one or more design criteria for use in a shape synthesis process, the build angle and the manufacturing direction being for an additive manufacturing process; performing the shape synthesis process including applying a build-angle filter to a boundary-based computer-data representation of an intermediate version of the shape of the modeled object during multiple iterations, including removing a portion of material from the intermediate version of the shape in accordance with the build angle and the manufacturing direction to make the intermediate version of the shape self-supporting in a vicinity of the portion of material; and providing the shape of the modeled object for use in manufacturing using the additive manufacturing process.

The invention relates to the technical field of computer aided design, in particular to an automatic intelligent building design scene generation method and system.The automatic intelligent building design scene generation method comprises the following steps of analyzing a material text mapping high-dimensional semantic vector, executing dot product projection with a physical reference to generate an attribute module length, and resolving noise frequency and a normal intensity coefficient; the method comprises the following steps of: mapping a texture style description text to a high-dimensional vector space, projecting the texture style description text to a physical attribute reference dimension, constructing a height field matrix by driving gradient interpolation and fractal superposition, generating a normal and roughness map based on differential operation, covering the surface of a three-dimensional model, and outputting a design scene. According to the method, a quantitative conversion path from semantic features to geometric generation control variables is established, noise frequency and normal intensity generation of programmed textures are driven, normal and roughness maps meeting physical rendering standards are generated, automatic rendering of material details is achieved, and unification of microscopic geometric textures and macroscopic visual styles of a design scene is achieved.

The present disclosure presents systems and methods for automated determination of development code performance. One such method, among others, comprises storing, by a computing device, land development design data in a building information model (BIM) file or a Computer Aided Design (CAD) file, wherein the BIM or the CAD file comprises a permit application file having a design for the land development project; checking, by the computing device, the permit application file for code compliance with computable files defining land development codes; generating, by the computing device, an output report indicating whether the permit application file has passed a check for the code compliance; and transmitting, by the computing device, the output report to a client device of an applicant associated with the permit application file.

The invention belongs to the technical field of computer aided design and mechanical engineering, and relates to a parameterized three-dimensional automatic modeling and assembling system and method for a rolling bearing. The system comprises a parameter input module used for obtaining bearing design parameters; the part modeling module is used for generating an inner ring model, an outer ring model, a rolling body model and a retainer model which comprise preset assembly reference surfaces according to the parameters; the assembly logic module is used for automatically positioning the respective three-dimensional models of the multiple parts of the rolling bearing in a three-dimensional space and constructing a complete bearing assembly so as to generate a complete rolling bearing; and the auxiliary function module is used for providing model file management, modeling process visualization and data output functions. The method has the beneficial effects that the traditional dependence on a solid geometric surface is replaced by abstract association of the reference surface and the coordinate system, and high automation, stabilization and parameterization of the modeling and assembling process are realized.

The invention discloses a heterogeneous fuzzy and game-based double-layer adaptive evolution CAD modeling command generation method, and belongs to the technical field of artificial intelligence and computer-aided design intelligent modeling. The method solves the technical problems that in an existing natural language driven CAD command generation technology, fuzzy semantics are difficult to quantify and map, heterogeneous commands are poor in adaptability, the executable performance of generated commands is low, and the reasoning process is black-box-shaped. According to the method, a semantic analysis-game generation-evolution refinement-verification backtracking-knowledge precipitation full-process closed-loop architecture is constructed, the method can be applied to the fields of industrial software, three-dimensional modeling, intelligent design systems and the like, the engineering performability, generalization ability and reasoning interpretability of command generation are improved, the generation diversity and feasibility are balanced, and the method is suitable for popularization and application. And the model iteration cost is reduced, and technical support is provided for industrial landing of the text-driven CAD modeling technology.

The invention discloses a BIM data-based special-shaped flow channel intelligent error detection method and system, and relates to the technical field of computer aided design, and the method comprises the steps: obtaining BIM model data and point cloud data of a special-shaped flow channel, carrying out the semantic analysis and feature enhancement of a BIM model, and generating semantic enhanced BIM model data; extracting structure semantic features and assembly semantic features, and constructing a semantic feature association map; based on the map, dynamically aligning the point cloud with the semantic enhanced BIM model to obtain semantic registration fusion data; further constructing a coupling error resolving model, respectively calculating three coupling errors, and binding category semantic tags to form a coupling error data set; and removing non-relevance error data, associating the non-relevance error data with the structure semantic label, generating a thermodynamic diagram detection report containing an error traceability link, and completing error detection. According to the method, the geometric and assembly errors of the special-shaped runner can be accurately detected based on the BIM data.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: rendering, to a display device of a first user, a first user's view into an extended reality environment, the first user's view being generated using a first pose being tracked for the first user; identifying that a first avatar associated with the first user has entered a shared perspective mode with a second avatar associated with a second user of the XR environment, wherein the shared perspective mode has a single frame of reference in the XR environment that is shared by the first user and the second user; and performing, while in the shared perspective mode, the rendering to the display device of the first user.

The invention is applicable to the technical field of computer aided design, and provides an automatic tolerance labeling method based on a multi-modal large model, which comprises the following operation steps: receiving an STP file of an assembly as input, analyzing the structure of the assembly, calculating geometric information of parts and feature surfaces, distributing a unique identifier and establishing an assembly tree; and through shell part identification and a centroid-based iterative RANSAC profile extraction algorithm, generating a multi-view overall image and a profile image. According to the automatic tolerance labeling method based on the multi-modal large model, the manual labeling time is greatly shortened by automatically extracting geometric information and generating part description and tolerance labeling, and through guidance of a rule base and an international standard, it is guaranteed that tolerance labeling is standard and unified, the risk of human errors is reduced, and the accuracy of the manual labeling is improved. The multi-modal large model is combined with geometric data and natural language description, comprehensive understanding of part functions and assembly relations is achieved, the reasonability of tolerance marking is improved, and the method is suitable for multiple parts.

The present application relates to the technical field of aero-engine aerodynamic optimization and computer-aided design, and discloses a numerical optimization design method and structure for aero-engine low-pressure turbine blade leading edge modeling based on response surface modeling. The method realizes precise matching of Klebanoff stripe and large-scale vortex generation timing by adjusting flow or rotor speed to change wake injection angle, and promotes stripe impact and accelerates large-scale vortex breakup. Meanwhile, by constructing a blade leading edge modeling parameterization model and establishing a response surface proxy model for the combination of modeling design variable parameters and boundary layer velocity mean square deviation, the optimal design variable parameter combination is determined in the constraint domain with the maximum velocity mean square deviation in the boundary layer as the target. The present application effectively reduces the boundary layer momentum thickness and total pressure loss under the premise of ensuring constant blade load, improves the design efficiency and engineering applicability under low Reynolds number conditions, and does not need to introduce additional flow control structures, thus being simple in structure and easy to implement.

The present application belongs to the field of biomedical materials and computer aided design technology, and discloses a kind of porosity gradient adjustable hip joint prosthesis porous coating topological optimization method.The present application is aimed at solving the problems of existing design, such as unadjustable porosity distribution, gradient mutation, difficult to balance mechanical properties and bone integration, and the gap between topological optimization and manufacturing constraints.The method introduces nonlinear porosity gradient constraints and adaptive optimization mechanism in the process of topological optimization through the steps of geometric modeling and boundary condition definition, nonlinear porosity gradient field generation, finite element analysis, sensitivity analysis, density filtering and porosity constraint processing, optimization criterion updating and convergence judgment, and realizes the smooth transition of porosity from the core to the surface of the prosthesis.The present application can optimize the mechanical support and biological integration performance simultaneously, eliminate non-manufacturable structures, and adjust the gradient parameters and modularize the extension, providing an efficient and reliable calculation method for personalized hip joint prosthesis design, and having significant engineering and clinical application value.