학술논문

Integral Structure Parameters of CAD Model Based on Vectorial Finite Element Discrete Analysis
Document Type
Conference
Source
2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE) Consumer Electronics and Computer Engineering (ICCECE), 2024 4th International Conference on. :235-238 Jan, 2024
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Signal Processing and Analysis
Solid modeling
Analytical models
Shape
Heuristic algorithms
Natural languages
Standardization
Production
CAD modeling
Grid structure
Discrete method
Finite element analysis
RMF algorithm
Language
Abstract
This paper presents an efficient and stable vector-form finite element discrete analysis grid method, which can directly input the grid management with external characteristics for complex three-dimensional graphics. The experimental results show that the proposed deep learning algorithm can greatly improve the quality of mesh generation while maintaining the external characteristics of the shape and size of natural language. It reduces the quality of the area where the extra target surface is located and increases the movement speed of the model. The problem that the edge of the mesh extra target surface is turned over is solved, so that the topological relation of the mesh extra target surface layer by layer is more regular. The mesh is thus greatly improved.