Design and Implementation of an Automatic Mesh Generation System for Transformer Simulation

With the rapid development of power system and energy industry, the reliability and efficiency of transformer's performance is crucial as a key power equipment. The finite element method is widely used in the simulation and analysis of electromagnetic and thermal fields of transformers, and mes...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2024 11th International Forum on Electrical Engineering and Automation (IFEEA) s. 1301 - 1306
Hlavní autoři: Liu, Jun, Gao, Meng, Shi, Weizhan, Chen, Peilong, Zhuo, Ran, Xu, Kui, Zhao, Sicheng, Li, Kun, Xu, Shurong
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 22.11.2024
Témata:
Accuracy
Automated Modelling
Computational efficiency
Finite element analysis
Finite Elements
Geometric modeling
Gmsh
Manuals
Mesh generation
Optimization
Software
Software algorithms
Transformer Simulation
Transformers
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:With the rapid development of power system and energy industry, the reliability and efficiency of transformer's performance is crucial as a key power equipment. The finite element method is widely used in the simulation and analysis of electromagnetic and thermal fields of transformers, and mesh generation, as a key step in FEM, directly affects the simulation accuracy and computational efficiency. Traditional manual mesh generation methods are often cumbersome and error-prone when dealing with complex geometries. In this paper, an automatic mesh generation system based on Gmsh and C++ is proposed, which is designed for transformer simulation. By inputting the geometrical parameters of the transformer, the system automatically builds a geometrical model of the transformer and performs mesh dissections based on physical bodies and algorithmic improvements. The system is capable of adjusting the mesh density according to the physical properties of different regions to improve the simulation accuracy and computational efficiency. After the mesh dissection is completed, the system further processes the mesh output file, automatically extracts the node coordinates and cell connection information, and converts it into a format suitable for subsequent simulation calculations, which simplifies the subsequent simulation process and improves the automation degree of the system. By integrating automatic modelling, mesh generation and subsequent data processing, the system reduces manual intervention, improves simulation accuracy, and has high practicality and promotion value.
DOI:10.1109/IFEEA64237.2024.10878764