8 results about "Solid modeling" patented technology

The invention provides an equivalent materialization modeling and efficient simulation method for an additive manufacturing lattice structure, and belongs to the technical field of additive manufacturing and structure simulation. The method comprises the following steps: firstly, designing and preparing a standard test sample consistent with a real sample piece in process according to dot matrix geometric characteristics of the real sample piece, and obtaining equivalent material parameters through mechanical test; secondly, extracting the outer contour of a dot matrix area from the original CAD model, constructing a continuum entity to replace an original dot matrix structure, and fusing the continuum entity with an entity area to form a simplified model; and endowing equivalent material parameters to the entity area, and performing thermal-mechanical coupling finite element calculation in simulation software to obtain stress and deformation distribution in the forming process. According to the method, huge calculation overhead caused by full-dot-matrix fine modeling is avoided, the simulation efficiency is remarkably improved, meanwhile, the prediction precision is guaranteed through experiment-driven equivalent material parameters, the method is suitable for various dot matrix configurations and metal material systems, and efficient and high-fidelity simulation of additive manufacturing complex dot matrix components is achieved.

The invention belongs to the technical field of graphic processing and three-dimensional modeling, and discloses a fluid impact building damage simulation method and system, and the method comprises solid-liquid mixed virtual simulation, building breaking virtual simulation and impact judgment virtual simulation. The solid-liquid mixing virtual simulation comprises solid modeling, liquid virtual simulation, particle mixing and buoyancy setting, the building crushing virtual simulation comprises building modeling, building pre-crushing and crushing threshold setting, and the impact judgment virtual simulation comprises polyhedron partition division and force field judgment. The fluid impact building damage virtual simulation effect is good, the calculation cost is reduced, the frame rate during virtual simulation is improved, and the universality is high. According to the virtual simulation method considering the mixing condition of the solid phase and the water phase, virtual simulation of a mechanism that the solid phase is carried by the water phase is achieved, pressure brought by collision point detection of liquid and the solid on models such as buildings is reduced, and the method can be used for virtual simulation of disasters such as flood and debris flow.

This invention discloses a non-inertial navigation mobile indoor volume measurement and 3D reconstruction method, equipment, and computer-readable medium, belonging to the interdisciplinary field of precision engineering measurement, computer vision, and digital twin technology. The method includes the following steps: S1, dynamic scanning data acquisition; S2, adaptive data augmentation and cleaning; S3, trajectory and depth calculation based on motion continuity constraints; S4, cross-sectional topology construction and closure constraints; S5, 3D solid modeling preserving volume characteristics; and S6, precise volume calculation based on the solid model. This invention employs the aforementioned non-inertial navigation mobile indoor volume measurement and 3D reconstruction method, equipment, and computer-readable medium, and through a single-line 2D LiDAR combined with innovative algorithms, achieves mobile high-precision volume measurement and high-fidelity 3D reconstruction of irregular indoor spaces under low-cost hardware conditions.

The invention discloses a nuclear power cooling tower structure safety analysis intelligent agent operation and maintenance method based on an industrial physics AI engine, relates to the technical field of nuclear power, and provides a method for simulating concrete and double-layer two-way reinforcing steel bar layers by adopting a common-node multi-layer shell unit, and considering normal bias of each reinforcing steel bar layer relative to the middle surface of a tower wall; according to the method, three-dimensional solid modeling of a reinforced concrete structure is replaced with a traditional method, the number of degrees of freedom of the model is reduced on the premise that real structure composition is reflected, and in the aspect of material nonlinearity, a nonlinear damage model and a linear hardening model are adopted for simulating mechanical behaviors of concrete and steel bars respectively; the integration of the independent nonlinear constitutive model of the reinforced concrete, the superposition calculation of the total tangent stiffness matrix and the separation and extraction of the stress result of the reinforced concrete are realized, so that the solving efficiency and precision are improved, a more efficient finite element industrial engine is accessed to the AI intelligent operation and maintenance service flow of the nuclear power cooling tower, and the stability and damage condition of the cooling tower are intuitively predicted.

The invention discloses a power transmission tower three-dimensional entity parameterization rapid modeling method, and belongs to the technical field of three-dimensional entity modeling. According to the method, tower main body supporting structure logic is accurately constructed through topological framework extraction, constraint conflicts are efficiently solved by combining framework parameter global optimization, accurate three-dimensional coordinates are output, and it is ensured that the model meets the actual machining requirement through entity generation of the component with tolerance; according to the method, joint plate prototype matching and self-adaptive adjustment (including bolt hole group optimization arrangement) are achieved by means of joint automatic design, matching model compliance verification guarantees that components and joints conform to design specifications, parameterization, automation and high efficiency of three-dimensional solid modeling of the power transmission tower are achieved in the whole process, the modeling precision and efficiency are greatly improved, and the method is suitable for large-scale popularization and application. Manual intervention is reduced, it is ensured that the model has design rationality and engineering practicability, and reliable technical support is provided for design, machining and construction of the transmission tower.

This invention discloses a method for predicting turbine blade flutter. The key point is the coupling of a real physical model of unequilibrium wet steam with the influence coefficient method for predicting flutter in the last-stage long blades of a turbine. This involves solid modeling of the last-stage moving blade, modal analysis, and harmonic response analysis, and constructing a nine-channel fluid domain for influence coefficient method calculations. The extracted main mode shapes are then interpolated onto the CFD nodes of the nine-channel fluid domain using a three-dimensional linear interpolation method. Furthermore, by modifying the wet steam model to accurately characterize the two-phase flow characteristics of the last-stage wet steam, unsteady flow field calculations using the nine-channel influence coefficient method are performed to obtain the aerodynamic damping coefficients for different nodal diameters. This enables the prediction of the flutter stability of the last-stage moving blades and the identification of critical nodal diameters. This significantly reduces the time cost of recalculating the tip phase angle for each blade throughout the entire revolution and improves the physical reliability and reproducibility of the prediction.

This invention discloses a method for mold electrode modeling based on topological point cloud sampling and PointNet++. First, a workpiece entity model containing electrode machining features is acquired. Point cloud sampling is used to obtain sampling point data on the model surface. The sampling points inherit the color ID of the original geometric surface and retain topological identifiers. Combined with a preset color ID-label ID mapping table, an electrode machining feature point cloud dataset is constructed. Then, this dataset is used to train an electrode machining feature recognition network based on the PointNet++ architecture. For the workpiece model to be processed, a point cloud is generated using the same sampling mechanism and input into the model to obtain predicted labels for each sampling point. Then, relying on the topological identifiers stored during sampling, the point cloud prediction results are traced back to the workpiece entity's geometric surface to achieve coloring of the machining area features. Finally, a bounding box is generated based on the colored surface region. Through Boolean operations, redundancy removal, combined with intensity optimization and base addition, the electrode entity modeling is completed. This invention can significantly improve the efficiency of mold electrode machining feature recognition and electrode modeling.

This invention discloses a modeling method for special threaded joints that considers roughness. It employs WM fractal functions to describe the contour of the rough surface of the special threaded joint, imports the contour coordinate data of the fractal curves into ANSYS finite element analysis software, and constructs a three-dimensional solid model of the special threaded joint containing the rough fractal contour. This invention also discloses a method for verifying the effectiveness of the above three-dimensional model. Using ANSYS finite element analysis software, material and interface properties are defined, the three-dimensional model is meshed and refined, assembly properties are defined, loads and constraints are applied according to boundary conditions, and structural nonlinear static analysis is performed to obtain equivalent stress contour maps and contact pressure curves of the special threaded joint, thereby verifying the model's effectiveness. The modeling method using fractal functions to characterize the rough surface of special threaded joints not only possesses determinism and uniqueness but also accurately describes the morphology of the rough surface, providing an effective and accurate method for refined solid modeling of special threaded joints.