Transformer Winding Dual Meshing for Accurate Field Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional dual meshing methods for transformer windings face challenges in accurately recognizing critical areas, selecting mesh sizes, and effectively transitioning meshes, leading to inadequate simulation accuracy and excessive resource consumption.
Innovation Solution
A dual meshing method and system that involves a first meshing strategy focusing on the length direction to identify critical areas and a second meshing strategy refining the cross-section of these areas, using specific mesh sizes and transition sizes to enhance accuracy while optimizing resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If finer mesh sizes are adopted in critical areas, then simulation accuracy is improved, but calculation resource consumption increases
Solution Approach 1:
The patent applies local quality by implementing different mesh sizes in different regions of the transformer winding. Critical areas (such as regions with high electromagnetic field gradients or geometric complexity) are meshed with finer elements to capture local field variations accurately, while non-critical areas use coarser meshing to reduce overall computational burden. This localized differentiation resolves the contradiction by concentrating computational resources where they are most needed for accuracy while minimizing waste in regions where high precision is not required.
Solution Approach 2:
The patent segments the transformer winding model into multiple regions based on their electromagnetic characteristics and geometric features. By dividing the overall model into critical and non-critical zones, the segmentation principle enables independent meshing strategies for each segment. This allows the system to achieve high simulation accuracy in critical segments while maintaining computational efficiency in non-critical segments, thereby resolving the trade-off between accuracy and resource consumption.
2Productivity
If conventional dual meshing method is used, then calculation efficiency is enhanced, but accuracy in critical areas is insufficient
Solution Approach 1:
The patent enhances the conventional dual meshing method by applying local quality principles to automatically identify and differentiate critical areas from non-critical areas. Through analysis of geometric parameters and electromagnetic field characteristics, the system assigns appropriate mesh densities to different regions. This ensures that critical areas receive sufficient mesh refinement for accurate simulation while maintaining computational efficiency through coarser meshing in non-critical areas, thereby resolving the insufficiency of conventional methods in capturing local field variations.
3Reliability
If manual mesh size selection is performed, then mesh transition can be controlled, but processing time and complexity increase
Solution Approach 1:
The patent implements self-service by developing an automated mesh size selection system that uses geometric parameters and electromagnetic field characteristics to determine appropriate mesh sizes and transition zones. The system automatically identifies critical areas, selects mesh densities, and generates transition regions without requiring manual intervention. This automation maintains reliable mesh transition control through algorithmic decision-making based on physical principles while dramatically reducing processing time and operational complexity compared to manual methods.
Data Source
AI summary
The present invention discloses a dual meshing method and system for a transformer winding, comprising acquiring the working frequency of a target transformer, and carrying out a first meshing operation on the winding of the target transformer according to the working frequency with the combination of a first meshing strategy; carrying out a second meshing operation on the target transformer winding after the first meshing operation with the combination of a second meshing strategy; and acquiring the mesh size of the target transformer winding after the second meshing operation, and completing meshing on the target transformer according to the mesh size. By reasonably allocating the mesh sizes, the distribution of electromagnetic fields in the transformer winding can be accurately simulated, the consumption of calculation resources can be reduced on the promise of ensuing the accuracy, the simulation efficiency and the accuracy of the simulation result can be improved.