4 results about "Solid modeling" patented technology

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.

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.