Far-Field Electromagnetic Simulation With Electric-Field-Based Grid Thinning
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Solution Overview
Problem
The increasing complexity of analysis target models in far-field electromagnetic field simulations due to improved electronic device performance and density leads to significant increases in memory capacity and computational time requirements.
Innovation Solution
A simulation program and device that generates thinned grids for electromagnetic current computation based on electric field strength distribution, reducing the number of computational grids by merging cells according to predetermined conditions, thereby calculating equivalent electromagnetic currents and far fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of computational grids is increased to maintain computation accuracy for complex analysis target models, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The equivalent electromagnetic current area is divided into multiple planes, and each plane is further divided into multiple regions based on electric field strength distribution. This hierarchical segmentation allows selective thinning of grids in different regions, maintaining accuracy where needed while reducing overall complexity.
Solution Approach 2:
Different regions of the equivalent electromagnetic current area are assigned different grid densities based on their electric field strength characteristics. High electric field strength regions retain fine grids for accuracy, while low electric field strength regions use thinned grids to reduce complexity.
2Manufacturing precision
If the number of computational grids is increased to maintain computation accuracy, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
By segmenting the computational area into planes and regions, the patent enables parallel processing of different regions and reduces the total number of grid points requiring computation, thereby decreasing computational time while maintaining accuracy in critical regions.
Solution Approach 2:
Computational resources are concentrated in high electric field strength regions where accuracy is critical, while low electric field strength regions use coarser grids, optimizing the balance between computation accuracy and computational time.
3Manufacturing precision
If the number of computational grids is increased to maintain computation accuracy, then manufacturing precision is improved, but use of energy increases
Solution Approach 1:
The segmentation into planes and regions with varying grid densities reduces the total number of grid points that need to be stored in memory, thereby decreasing memory capacity requirements while maintaining computation accuracy in essential regions.
Solution Approach 2:
Memory resources are allocated efficiently by storing detailed grid data only in high electric field strength regions where accuracy is critical, while using coarser grid representations in low electric field strength regions, reducing overall memory usage.
Data Source
AI summary
A non-transitory computer-readable recording medium stores a simulation program for causing a computer to execute a process including: generating thinned grids for electromagnetic current computation, according to electric field strength distribution in an equivalent electromagnetic current area; and calculating equivalent electromagnetic currents and far fields, by using the thinned grids.