Magnetic System Characterization via Precalculated Field Mapping
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Solution Overview
Problem
Current magnetic measurement techniques primarily measure single parameters, and while magnetic field cameras can record high-resolution 2D magnetic field maps, extracting information from these maps is challenging due to the large amount of data generated, which existing simulation methods struggle to analyze efficiently.
Innovation Solution
A method that involves precalculating magnetic field distributions and using optimization schemes, such as linear or nonlinear data-fitting algorithms, to fit theoretical simulation models to measured data, allowing for the extraction of physical properties like magnetization vectors and geometry from magnetic field maps, thereby speeding up the analysis process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic field camera records high resolution 2D magnetic field maps, then measurement precision is improved, but data processing complexity increases
Solution Approach 1:
The patent introduces a magnetic model as an intermediary between the measured magnetic field map and the physical parameters. The model acts as a mediator that translates complex measurement data into extractable parameters through comparison and optimization, reducing the direct complexity of analyzing raw measurement data.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating magnetic field distributions for various model parameters before actual measurement. This allows the complex analysis to be broken down into pre-computed reference data and straightforward comparison during actual measurement, reducing real-time processing complexity.
2Loss of information
If simulation methods are used to analyze magnetic field maps, then information extraction capability is improved, but calculation time increases
Solution Approach 1:
The patent calculates magnetic field distributions for various model parameters in advance and stores them as reference data. During actual analysis, these pre-calculated distributions are compared with measured data to extract parameters, eliminating the need for time-consuming real-time simulations and significantly reducing analysis time.
Solution Approach 2:
The patent creates copies of magnetic field distributions for different model parameters and uses these copies as reference data. Instead of performing complex simulations during analysis, the system compares measured data against these pre-generated copies, dramatically reducing computational time while maintaining information extraction capability.
3Speed
If analytical models are used for simulation, then calculation speed is improved, but model versatility decreases
Solution Approach 1:
The patent segments complex magnetic systems into simpler elementary geometries (spheres, blocks, spheroids) that can be handled by analytical models. By breaking down complex shapes into these basic components, the system can use fast analytical calculations while still being able to represent and analyze a wide variety of magnetic system configurations.
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
This approach enables fast and accurate extraction of information from magnetic field maps, facilitating quality control and inspection of magnetic systems by minimizing the difference between measured and simulated data, resulting in optimized model parameters that reflect the physical properties of the magnetic system.
Implementation Method 1
This system consists of a semiconductor chip with an integrated 2D array of magnetic field sensors, which each independently measure the local magnetic field
Implementation Method 2
The input parameters of the magnetic model are varied and optimized as to obtain a best fit to the measured data
Data Source
AI summary
The present invention relates to a new method for characterizing magnets, magnetic assemblies (combinations of magnets) and magnetic materials. In what follows, these will be called under the common term ‘magnetic systems’. The method is based on obtaining quantitative properties of the magnetic system by combining magnetic field measurement data and theoretical modeling or simulation data. The input parameters of the theoretical model are optimized using an optimization method in order to obtain a best fit to the measured data. In this method, the present invention involves precalculating magnetic field distributions prior to the optimization execution in order to considerably speed up the process. Combining this advanced data processing with fast magnetic field mapping using e.g. a magnetic field camera, allows real-time measurement and data analysis of magnetic systems for applications in e.g. quality control of such magnetic systems.