Radio Scattering Body Shape Optimization for Virtual Scattering Evaluation
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Solution Overview
Problem
Designing radio scattering bodies that effectively attenuate radio waves is labor-intensive and costly due to the need for repeated prototyping and evaluation to achieve desired scattering properties.
Innovation Solution
A method and apparatus that use an arithmetic logic unit to compute an objective function representing the radio scattering property of a design target, created based on set parameters describing its shape, allowing for efficient computation and optimization of radio wave interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If repeated prototyping and evaluation are performed to achieve desired scattering properties, then the radio scattering property approaches the desired property, but labor and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by performing computer-based simulations and calculations before actual prototyping. The design apparatus computes scattering properties using analysis models to predict performance, allowing designers to optimize parameters virtually before manufacturing physical prototypes. This preliminary computational evaluation reduces the need for repeated physical prototyping and testing.
Solution Approach 2:
The patent uses computational analysis models as virtual copies of the actual radio scattering bodies. These digital models replicate the scattering properties and allow for repeated evaluation without physical fabrication. The analysis model serves as a surrogate that can be tested and optimized multiple times at low cost before committing to actual manufacturing.
2Manufacturing precision
If repeated prototyping and evaluation are performed to achieve desired scattering properties, then the radio scattering property approaches the desired property, but cost increases significantly
Solution Approach 1:
The patent performs preliminary computational evaluations to predict scattering properties before manufacturing. By calculating performance using analysis models and objective functions, designers can identify optimal configurations without incurring material and manufacturing costs for multiple prototypes. This preliminary computational phase significantly reduces overall development costs.
Solution Approach 2:
The patent uses computational models as inexpensive virtual copies代替 expensive physical prototypes. These digital representations allow for unlimited evaluation and optimization at minimal computational cost, avoiding the material, manufacturing, and testing expenses associated with repeated physical prototyping.
3Productivity
If computer-based computation is used to determine objective function values, then labor and cost are reduced, but computational complexity increases
Solution Approach 1:
The patent segments the design process into distinct computational stages: creating analysis models from design parameters, calculating scattering properties using electromagnetic theory, evaluating objective functions, and optimizing parameters. This segmentation allows each computational task to be handled systematically and reduces overall complexity by breaking down the problem into manageable steps.
Solution Approach 2:
The patent introduces an intermediary analysis model that bridges design parameters and scattering properties. Instead of directly computing complex scattering behavior from first principles for every design iteration, the analysis model serves as an intermediary that pre-computes and stores scattering characteristics, simplifying subsequent objective function evaluations and optimization processes.
Data Source
AI summary
A method for designing radio scattering bodies includes making a determination of a value of an objective function. The objective function represents a radio scattering property of a design target for a case where a radio wave is incident on the design target under a given condition. The determination of the value is made by computation using an analysis model including the design target, the analysis model being created on the basis of a set value of a parameter describing a shape of the design target.