52 results about "Volume mesh" patented technology

The invention discloses a volume grid construction method and a related device. The method comprises the following steps: creating initial volume data of a target shape, realizing rough shaping of volume grid construction, and improving the controllability of the volume shape during volume grid construction; for volume data in a target density range in the initial volume data, namely the volume data of which the data density of each voxel is greater than the sampling density, sparse sampling is performed to obtain a plurality of target sampling points, so that data selection of volume grid construction is realized, and the data volume of the volume data during volume grid construction is reduced; on the basis of a plurality of target sampling points with a small data volume, three inserts are constructed for each target sampling point to obtain a three-insert grid in a target shape, and three patches in each three insert of the three-insert grid are perpendicular to one another and intersect with one another, so that the three-insert grid is higher in construction speed and stronger in volume feeling, and the three-insert grid can be more accurately constructed. Grid construction of volume grid construction is achieved, the volume grid construction time is shortened, the resource consumption is reduced, and the volume grid construction efficiency is improved.

The invention provides a super-large-scale high-expandability grid generation method and device and a storage medium, and the method comprises the steps: obtaining a geometric model of a numerical simulation task, carrying out the surface grid division, obtaining a corresponding overall surface grid connected domain, carrying out the segmentation of the overall surface grid connected domain, obtaining a plurality of sub connected domains corresponding to the geometric model, and carrying out the segmentation of the sub connected domains; the method comprises the following steps: acquiring a plurality of sub-connected domains, distributing each sub-connected domain to each node, enabling each node to carry out volume mesh division on the sub-connected domains to obtain a mesh data file, searching other connecting surfaces corresponding to the connecting surfaces in the sub-connected domains, and finally updating mesh information in the mesh data file of each node according to a corresponding relationship among the connecting surfaces. And each node writes the updated grid information into the grid model file of the geometric model in parallel, so that the generation of the grid model for numerical simulation is realized, the memory occupation of each node during grid generation is reduced, the grid generation stability is ensured, and the file writing efficiency is greatly improved.

A computer-implemented process for creating 3D objects from 2D images includes receiving an input image, conditioning a generative model using image-derived, voxelized three-dimensional features, generating, by a transformer-based rectified-flow generative model parameterized as a base network optionally coupled to one or more low-rank adapter modules activatable at inference, a volumetric latent of the target object, the volumetric latent including a sparse, feature-augmented volumetric lattice obtained by transporting an initial random sample toward a learned manifold via a rectified-flow sampling process, decoding the volumetric latent by mapping the volumetric latent to a feature-bearing sparse volumetric field consistent with the volumetric lattice, decoding the field to a continuous implicit surface function, and extracting a watertight mesh by isosurface extraction, estimating camera-pose parameters by render-and-compare alignment between silhouettes rendered from the mesh and silhouettes of the input image, and, performing style-preserving inverse rendering on the mesh that updates UV-space albedo and material maps.

The invention provides a laminar flow wing robust optimization method based on manifold learning, and belongs to the field of aircraft design, and the method comprises the steps: giving an initial geometrical shape and a design variable as a starting point of laminar flow wing robust optimization; filtering the design space based on a geometric fairing and Grassmann manifold coupling method, and deforming a design object; dynamically updating the volume grid by using an inverse distance interpolation method to ensure that the volume grid is consistent with the deformed geometrical shape; calculating flow field information according to the updated volume grid; obtaining derivative information about a design variable through a laminar flow discrete adjoint solver; and obtaining a design variable change direction according to the derivative information, generating a new design variable, and obtaining a steady optimization result of the laminar flow wing if an iteration result meets feasibility tolerance and optimality tolerance. According to the method, the robustness of laminar flow wing optimization can be improved, and the influence of a geometric parameterization form on the drag reduction effect of the optimization method is reduced, so that a more stable optimization result is obtained.

The invention relates to the technical field of medical image processing and three-dimensional reconstruction, and particularly discloses a reconstruction and analogue simulation method based on a cardiac image. The method comprises the following steps: firstly, preprocessing an input CT or MRI medical image, and automatically segmenting a heart multi-tissue structure by using an nnUNetv2 model, including a plurality of anatomical regions such as atrium, ventricle, myocardial tissue and blood pool; and then performing topology repair, smoothing processing and label resampling on the segmentation result to obtain a three-dimensional label body with a continuous structure and a complete boundary. And based on the optimized tag body, constructing a heart three-dimensional surface model by adopting a Marching Cubes algorithm, and generating a multi-material volume grid suitable for finite element analysis. According to an electrode position and a radio frequency parameter set by a user, a radio frequency ablation simulation model based on a Pennes biological heat conduction equation and an Arrhenius model is established, a temperature field and a tissue thermal damage range are calculated, and a simulation result is displayed in a three-dimensional mode in an overlapping mode. According to the method, the integrated process from medical image automatic segmentation to heart three-dimensional reconstruction and thermal simulation is realized, the segmentation precision, the modeling efficiency and the simulation reliability are improved, and the method can be applied to application scenes such as surgical planning, preoperative evaluation and medical teaching.

The invention relates to the technical field of vehicle simulation, and discloses a multi-working-condition simulation automatic processing method and device, equipment and a medium, and the method comprises the steps: obtaining input parameters needed by multi-working-condition simulation; according to the input parameters, determining a modeling mode corresponding to simulation of a three-dimensional simulation model and executing volume mesh generation operation; and circularly traversing each working condition, selecting a corresponding parameter combination according to the modeling mode to perform simulation calculation on the three-dimensional simulation model, and obtaining a simulation result corresponding to each working condition. According to the technical scheme provided by the invention, the efficiency and accuracy of the multi-working-condition simulation task can be improved.

The invention relates to an airflow simulation modeling method for a clean room of an electronic factory, belongs to the technical field of simulation modeling, and solves the problem that an existing modeling method cannot guarantee accuracy, rapidness and high efficiency at the same time. Comprising the following steps: acquiring three-dimensional information of a simulation primitive according to various design drawings of the electronic factory clean room; according to the three-dimensional information of the simulation primitive, modeling is carried out in CFD preprocessing software, and a geometric model is generated; all the FFUs and all the raised floors in the geometric model respectively serve as a whole to correspond to one surface; mesh generation is carried out on the geometric model, the vertexes of each FFU and each raised floor in the simulation primitive serve as virtual nodes, after face meshes of the FFUs and the raised floors are reconstructed, all the face meshes are optimized, then body meshes are reconstructed and optimized, and the airflow simulation calculation input model is obtained. The modeling efficiency and accuracy are improved at the same time.

This invention relates to a method for simulating airflow modeling in cleanrooms of electronic factories, belonging to the field of simulation modeling technology. It solves the problem that existing modeling methods cannot simultaneously guarantee accuracy and speed / efficiency. The method includes: obtaining 3D information of simulation primitives based on various design drawings of the cleanroom; performing modeling in CFD preprocessing software based on the 3D information of the simulation primitives to generate a geometric model; treating all FFUs and all raised floors in the geometric model as a single unit corresponding to a face; meshing the geometric model, using each vertex of each FFU and each raised floor in the simulation primitives as virtual nodes; reconstructing the face mesh of the FFUs and raised floors; optimizing all face meshes; and then reconstructing and optimizing the volume mesh to obtain the input model for airflow simulation calculations. This method simultaneously improves modeling efficiency and accuracy.

The application relates to an aeration equipment automatic collaborative scheduling method and system based on reinforcement learning. The method comprises the following steps: acquiring aeration tank heterogeneous measurement data, processing the aeration tank heterogeneous measurement data through a three-layer clock alignment mechanism to obtain multi-source observation data with a global unified timestamp; inputting the observation data into a finite volume grid physical model, and correcting the observation data through ensemble Kalman filtering assimilation and Lagrange reverse tracking to obtain an aeration tank space-time state field; performing feature compression and fusion on the state field to obtain a high-dimensional feature vector, and mapping the high-dimensional feature vector to generate an action set; inputting the action set into a gray box digital twin model to deduce an expected return; selecting an optimal action and converting the optimal action into an instruction to input an aeration equipment control system. The method can solve the problems of multi-source data space-time asynchronization and state representation physical distortion, improve the strategy generalization ability and training efficiency, reduce the trial and error cost, realize the collaborative scheduling of the aeration equipment, and balance the water quality standard and energy saving and consumption reduction.

A method and system are provided for manufacturing an object using a mechatronic positioning system comprising an end effector (110) The object may be manufactured as a physical representation of a volumetric mesh model by: a. providing a straight rod (142) to physically represent an individual edge of the mesh model; b. with the end effector, causing the rod to assume a position and orientation relative to a previously manufactured part of the object at which position an end (144) of the rod contacts or is in welding proximity of an end of at least one previous rod of the previously manufactured part of the object; c. welding the end of the rod to the end of the at least one previous rod to physically establish a node connecting two or more individual edges of the mesh model; and repeating steps a)-c) for respective individual edges and nodes of the mesh model to iteratively build up the physical representation of the mesh model.

There is provided a computer-implemented method for generating a virtual chimera population of a multi-part organ shape for use in computer simulation studies wherein the organ shape is represented as a surface or volume grid, the method comprises: learning a potential representation of each portion of the multi-portion organ shape to be included in the virtual population using a portion-aware generative model, and outputting a synthesized portion of the multi-portion organ shape; arranging synthetic portions of the output multi-part organ shape using a spatial combination model, and outputting an example of an anatomically significant overall multi-part organ shape as a virtual chimera; and storing the virtual chimera in a virtual population for use in a computer simulation test. An apparatus and a computer readable medium for implementing the method are also provided.

Methods, systems, and apparatus, including medium-encoded computer program products, for detecting self-intersections of a surface mesh, include: obtaining (i) a surface mesh including vertices and edges that define triangles that approximate a surface of a three-dimensional model of a three-dimensional object, and (ii) a Delaunay diagram of the vertices of the surface mesh, wherein the Delaunay diagram includes a volumetric mesh including tetrahedrons having vertices at the vertices of the surface mesh; determining, using the Delaunay diagram, data indicating at least one intersection among the triangles of the surface mesh; and causing a refinement of the surface mesh based on the data indicating the at least one intersection, wherein the refinement removes the at least one intersection among the triangles of the surface mesh.

The invention provides an Ai nutrition screening detector and a detection method, when the Ai nutrition screening detector is applied, an automatic screening process can be carried out: step 1, a user stands on a detection platform in a barefoot manner, an electrode automatically identifies foot contact, and BIA scanning is synchronously completed within 60 seconds; the millimeter-wave radar captures a complete respiratory cycle; the optical system generates a 3D volume mesh model; 2, the detector uploads detection data to an edge server; and step 3, the edge computing node operates the MFN nutrition risk detection model to generate a nutrition risk report. Intelligent nutrition detection analysis is achieved, user nutrition risk scores and intervention suggestions are output, multi-modal nutrition index analysis and fusion prediction are achieved, multi-modal nutrition screening detection is achieved, the application range is large, the method is suitable for detection of different user crowds, AI technical support is utilized, the defects of manual calculation and analysis and single-computer calculation and analysis are overcome, and the user experience is improved. The AI technology is fused into the nutrition screening detection technology, and the intelligent detection effect is achieved.

The invention discloses a finite element multi-physical field simulation-oriented metal thin layer boundary condition modeling method, which is used for carrying out rapid equivalent modeling on a rich structure of a metal thin layer in finite element electromagnetic-thermal-force multi-physical calculation so as to achieve the purpose of reducing the calculation complexity. In complex microwave integrated devices, circuits and microsystems, multi-scale metal and thin-layer structures are rich, when a traditional finite element is adopted to carry out multi-physics field numerical solution, volume grids are generally needed to be generated for all materials, the generation of the volume grids of the thin-layer metal can remarkably increase the number of the grids, meanwhile, the mass of grid units is reduced, and the number of the grid units is reduced. And the solving complexity of the linear matrix system is further improved. According to the modeling method disclosed by the invention, the thin metal structure is regarded as planarization, so that the modeling calculation complexity is greatly simplified. Specifically, a large-scale frequency domain electromagnetic system can be efficiently solved in parallel by introducing tangential gradient components of equivalent heat flux and stress to replace a metal thin layer result and adopting a domain decomposition (DDM) method.

The present invention discloses a method for analyzing high-low frequency hybrid electromagnetic scattering based on VSBR-MoM. The specific steps are as follows: First, in the software ANSYS, the metal-dielectric hybrid model is meshed. For the dielectric part of the model, volume meshing is used, and for the surface of the metal part of the model, triangular facets are used for meshing; the electrically large-sized dielectric is divided into the high-frequency VSBR domain, and the electrically small-sized metal is divided into the low-frequency MoM region; by accumulating the scattered fields of the ray tubes in the high-frequency region and the surface currents in the low-frequency region, the contributions of the two high-low frequency regions are accumulated to obtain the total far field of the overall composite target, and the radar cross section is calculated. The present invention combines the advantages of the volume meshed shooting and bouncing ray method and the method of moments, and solves the problems that the VSBR method cannot accurately calculate electrically small-sized targets and the MoM method consumes a large amount of computing resources.

The present application belongs to the technical field of solid engine nondestructive testing and finite element analysis, and relates to a solid engine finite element analysis method based on CT image fusion modeling, which comprises the following steps: step S1: performing CT step-by-step scanning on key positions of a defect high-occurrence area of a solid engine to be tested to obtain real CT images of the defect part; step S2: constructing a cross-section model of a part to be simulated, simulating CT data of an unscanned area, and generating a simulated CT image; step S3: fusing the real CT image and the simulated CT image to generate a triangular facet mesh model; step S4: importing the triangular facet mesh model into 3-matic software to generate a volume mesh model that can be used for finite element analysis; and step S5: importing the volume mesh model into Abaqus finite element analysis software to perform health state evaluation. The present application fuses the simulated CT image and the real CT image, and effectively reduces the detection cost and technical difficulty.

The present invention discloses a rapid analysis method for multi-dimensional uncertainty problems of a non-uniform medium rotationally symmetric body, and the steps are as follows: First, the mother plane of the rotationally symmetric body is modeled using non-uniform rational B-spline technology, reducing the previous three-dimensional volume meshing of the non-uniform medium target to two-dimensional surface meshing of the mother plane, and making the shape of the model be controlled by control points; Subsequently, a VIE-BOR matrix equation with shape and permittivity random variables is obtained by the perturbation method; Finally, different variation amounts are obtained through random sampling, and the radar cross section after the micro-variation of the shape and permittivity of the rotationally symmetric body, as well as the statistical mean and variance of the radar cross section are obtained. Compared with the VIE method, the present invention has a faster calculation speed and less memory usage, and can simultaneously handle multi-dimensional uncertainty problems of the geometric shape and permittivity of non-uniform media.

An encoding method is provided and includes: obtaining a volumetric mesh; performing mesh segmentation of the volumetric mesh to generate multiple segments of mesh content; performing mesh decimation of a segment of mesh content to generate a base mesh; performing mesh subdivision of the base mesh to generate multiple subdivided base meshes; calculating multiple mesh displacements between the multiple subdivided base meshes and an original volumetric mesh surface to generate multiple transformed displacement coefficients; converting the multiple transformed displacement coefficients to multiple quantized transformed displacement coefficients; scanning the multiple quantized transformed displacement coefficients along a three-dimensional space scanning pattern within each level-of-detail to form three one-dimensional arrays; and re-arranging the multiple quantized transformed displacement coefficients in the three one-dimensional arrays to a two-dimensional image according to the each level-of-detail and a packing order indicated by a specific flag.

The invention provides a volume mesh generation method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining geometric model construction data of a to-be-processed object; the geometric model is adopted to construct data, an NURBS curved surface is constructed, the NURBS curved surface is subjected to block processing, curved surface representation data of all sub curved surfaces in the sub curved surface set are obtained, and the curved surface representation data of one sub curved surface comprises control points used for controlling the corresponding sub curved surface; generating a volume mesh boundary control point corresponding to each sub-curved surface based on the curved surface representation data of each sub-curved surface, and generating a volume mesh internal control point corresponding to each sub-curved surface based on the volume mesh boundary control point corresponding to each sub-curved surface; and based on the volume grid internal control points corresponding to the sub curved surfaces, target volume grid control point indication data is formed, and the target volume grid control point indication data is used for generating the volume grid of the to-be-processed object. According to the embodiment of the invention, the quality and precision of the volume mesh can be improved.

A computer-implemented method for generating a virtual chimera population of multi-part organ shapes for use in in silico testing, where the organ shapes are represented as surface or volumetric meshes, is provided, the method including: using a part-aware generative model to learn a latent representation of each part of the multi-part organ shape to be included in the virtual population and outputting composite parts of the multi-part organ shape; using a spatial configuration model to align the output composite parts of the multi-part organ shape and output anatomically significant instances of the entire multi-part organ shape as virtual chimeras; and storing the virtual chimeras in the virtual population for use in in silico studies. Also provided are an apparatus and a computer-readable medium for practicing this method.

The present invention presents a computer-implemented method for automatically identifying and sealing gaps in geometrical or three-dimensional models for simulation. The method involves creating a multi-volume mesh of the model, defining boundaries to distinguish inside and outside regions, and solving the Laplace equation to identify gaps. By adjusting the iso-surface of the equation's primary variable, the gaps are sealed at desired locations. The model is then divided into distinct inner and outer volumes. The process reduces manual intervention, ensures accurate simulation preparation, and allows user interaction for boundary definition and visualization. The invention streamlines model preparation for simulations, enhancing the efficiency and accuracy of design validation across various industries and allowing much more efficient analysis.

A computer-implemented method of generating a thin volume grid in a computer-aided technology (CAx) model of an object is described. A volume region located between a first surface grid having a first set of grid parameters and a second surface grid having a second set of grid parameters is selected. The volume region has a thickness t corresponding to a distance between the first surface mesh and the second surface mesh. If the volume region is thin, a prismatic unit volume grid is generated to fill the entire volume region. Whether the volume region is thin or not is given from explicit values calculated using a fuzzy logical reasoning mechanism including fuzzy set thin and non-thin, and wherein the relationship between the first set of grid parameters and the second set of grid parameters and the thickness t determine the thin and non-thin membership of the fuzzy set.

A computer-implemented method of generating a volumetric grid in a modeling system between two adjacent, non-intersecting and opposing grid surfaces of a three-dimensional object is described. A projected volume is determined, where a mesh volume having a first topology is generated when the volume reaches an opposing mesh surface within a distance determined by the local mesh size. A second volume grid having a different topology is generated when the projected volume does not reach the opposing grid surface.

The present disclosure relates to the field of geotechnical numerical simulation technology, and proposes a discrete element porosity calculation and interpolation optimization method and system based on a graphic algorithm. First, the Delaunay triangulation meshing technology is used to perform triangular face / volume meshing with discrete particle point set coordinates as nodes, and then the Voronoi algorithm is used to construct Thiessen polygons. At the same time, a graphic algorithm is used to calculate the porosity of the current polygon, and it is determined whether further interpolation optimization processing is required, thereby achieving uniform continuous processing and smooth display of the entire discrete element calculation data. The present invention can overcome the problems of poor particle display effect in current discrete element calculations, automatically calculate local porosity based on the Voronoi polyhedron graphic algorithm, and quantitatively determine whether interpolation optimization processing is required, which can achieve uniform continuous optimization processing of non-uniform discrete element particle information, and the applicability and accuracy are greatly improved.

A computer-implemented method of generating a thin volume mesh in a Computer-Aided technology (CAx) model of an object is described. In the method, a volume region lying between a first surface mesh having a first set of mesh parameters and a second surface mesh having a second set of mesh parameters is selected. This volume region has a thickness corresponding to the distance between the first and second surface mesh. prismatic cell volume mesh is generated to fill the entire volume region when the volume region is thin. Whether or not the volume region is thin is given by a crisp value calculated using a fuzzy logic inference scheme including the fuzzy sets thin and non-thin, and wherein the relationship between the first and second sets of mesh parameters and the thickness determine the membership of the fuzzy sets thin and non-thin.

The present invention relates to the field of fluid simulation calculation technology, and discloses a method, device, equipment and medium for calculating the propulsion direction of a volume mesh layer. The method comprises: determining a target surface mesh containing multiple target nodes; for each target node, obtaining multiple mesh facets of the current target node from the target surface mesh; clustering the mesh facets based on the angles between all mesh facets of the current target node, and determining at least one target plane of the current target node; respectively calculating the plane normals of each target plane, and determining the current propulsion direction of the current target node based on the plane normals of each target plane; optimizing the current propulsion direction of the current target node based on the angle between the current propulsion direction of other target nodes adjacent to the current target node and the current propulsion direction of the current target node, and determining the target propulsion direction of the current target node, thereby overcoming the propulsion direction deviation caused by the number of meshes, and thus ensuring the quality of the volume mesh.

The present application discloses a method and device for dividing a basin into blocks and meshes, which relates to the technical field of aircraft design. The method includes: constructing a complete solid model according to design requirements; wherein, the complete solid model includes a gap basin solid model, an aircraft aerodynamic shape solid model and an outer basin solid model; setting surface mesh division parameters, and performing surface mesh division on the complete solid model based on the surface mesh division parameters to obtain a surface mesh model; setting a boundary layer in the outer basin of the surface mesh model, setting the division parameters of the inner mesh of the boundary layer to perform volume mesh division, and generating a volume mesh model; importing the volume mesh model into fluid dynamics software, setting basin connectivity and flow conditions to perform simulation, and obtaining an aerodynamic data set. The problem that the division of unstructured meshes in the prior art has high requirements for the experience of technicians and easily leads to completely untrustworthy calculation results is solved. The accuracy and reliability of aerodynamic calculation results can be improved.

A method to position a robotic surgical system. The method includes generating a first three-dimensional (3D) model of the robotic surgical system, a second 3D model of a patient, and a planned surgical pathway. The first 3D model is represented by a set of polygon meshes but not by any volumetric mesh. The method includes selecting a first candidate position to position the first 3D model in a virtual environment, simulating movements or rotations of the first 3D model in the virtual environment; and determining whether a collision associated with the first 3D model occurs based on the simulated movements or rotations. The method includes generating status information of the first candidate position.

A technique generates a hierarchical three-dimensional structure or volume mesh and uses intelligent compaction using a Barycenter compact model. Any primitive cells or blocks can be represented physically by a Barycenter compact model (or Barycenter model), and any black box model can also be physically represented by a Barycenter compact model physically. A boundary condition between blocks is formulated by the Barycenter compact model. Boundary condition problems between blocks can be limited within two levels only if using the Barycenter compact model. A technique generates a hierarchical three-dimensional volume mesh and uses intelligent compaction using a Barycenter compact model.

The application relates to a three-dimensional mesh processing optimization method, device, equipment and medium in geometric modeling, wherein the method comprises the following steps: acquiring an initial coarse mesh, converting surface triangles in the initial coarse mesh into a fixed-length binary file; writing the surface triangles in the fixed-length binary file into a surface stream file, reading the surface stream file in batches to perform multi-round surface refinement, and generating a local volume mesh; writing new points in the local volume mesh into a point table file, converting tetrahedrons in the local volume mesh into a tetrahedron stream file; extracting internal edge requests of each tetrahedron and generating an edge key, performing hash slicing and deduplication on the edge key, generating a midpoint for each unique internal edge, performing multi-round tetrahedron refinement based on the generated midpoint, and obtaining a refined volume stream file; and constructing a result external storage mesh file and outputting post-processing information. The whole scheme can significantly reduce the memory occupation peak value in the three-dimensional mesh processing process in geometric modeling.