Analysis method
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Solution Overview
Problem
Existing technologies lack a method to effectively analyze and prevent discharge occurrences in spaces between electrodes, which can lead to electrical failures in devices like aircraft due to uncontrolled electric field interactions.
Innovation Solution
An analysis method involving electrostatic field analysis, particle density adjustments, and advection processes is employed to model and predict discharge events by simulating the movement and interaction of charged particles within a divided analysis space, using a computer system to derive electric field strengths and particle distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrostatic field analysis is executed in a continuous analysis space, then the accuracy of discharge prediction is improved, but the computational complexity and memory requirements increase significantly
Solution Approach 1:
The analysis space is divided into multiple cells, allowing the continuous electrostatic field analysis to be performed in a segmented manner. This segmentation reduces the computational complexity and memory requirements while maintaining the accuracy of discharge prediction by preserving the essential electric field distribution characteristics across the divided cells.
2Reliability
If particle density is increased to improve discharge simulation accuracy, then the prediction reliability is improved, but the computational time and resource consumption increase
Solution Approach 1:
The particle density is selectively increased only in cells where the electric field strength exceeds the breakdown threshold, rather than uniformly increasing density across the entire analysis space. This local quality approach improves prediction reliability in critical regions while minimizing computational time and resource consumption in regions where discharge is unlikely to occur.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate prediction and prevention of discharge events by simulating discharge processes, allowing for enhanced design of electrical devices to avoid such occurrences.
Implementation Method 1
executing an electrostatic field analysis process of deriving an electric field strength for each cell in the analysis space by an electrostatic field analysis
Implementation Method 2
executing an advection process of updating the negative-charged particle density of each cell by moving the negative-charged particles of each cell in the analysis space based on the electric field strength distribution
Implementation Method 3
increasing, in a case where an electric field strength of a surface of one electrode of the first electrode and the second electrode which has a lower set potential exceeds a predetermined second electric field threshold, the negative-charged particle density of a cell around the surface
Data Source
AI summary
The analysis method includes: executing an electrostatic field analysis process of deriving an electric field strength in an analysis space; executing an increasing process of increasing a negative-charged particle density and a positive-charged particle density of a cell by a predetermined first coefficient; executing a reduction process of reducing the negative-charged particle density and the positive-charged particle density of each of the cells in the analysis space by each predetermined second coefficient; executing a negative-charged particle emission process of increasing the negative-charged particle density of a cell around a surface in the analysis space by a predetermined third coefficient; executing an advection process of updating the negative-charged particle density of each cell; and repeatedly executing the electrostatic field analysis process, the increasing process, the reduction process, the negative-charged particle emission process, and the advection process.