CAD File Processing via Geometric Coefficient Transformation
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Solution Overview
Problem
Existing CAD file search methods are cumbersome and inefficient, relying on naming conventions and text-based searches that are language-dependent and fail to effectively locate similar components by geometry, leading to difficulties in design reuse and manufacturer matchmaking.
Innovation Solution
A method that transforms CAD files into coded representations of their geometry, using coefficients from a non-invertible representation, allowing for geometric similarity searches across a library, facilitating the identification of similar components and qualifying contract manufacturers based on tolerance and material type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text-based search or naming convention methods are used to locate CAD files, then the search process is simple to implement, but the search accuracy and ability to find geometrically similar components is poor
Solution Approach 1:
The patent replaces text-based search mechanisms with a geometric field-based search system. By transforming CAD geometry into coefficient representations and using field theory concepts, the system enables accurate geometric similarity searching without relying on manual naming conventions or text keywords.
Solution Approach 2:
The patent transforms geometric parameters from their original CAD representation into a coefficient-based parameter system. This parameter transformation allows for quantitative comparison of geometric similarities and enables precise matching of components based on their shape characteristics rather than text labels.
2Productivity
If traditional search methods relying on naming conventions are used, then the implementation is straightforward, but the search efficiency and ability to locate similar components is low
Solution Approach 1:
The system replaces inefficient text-based search with a geometric field-based search mechanism that directly compares shape characteristics. This substitution preserves complete geometric information while dramatically improving search efficiency by enabling direct mathematical comparison of component geometries.
Solution Approach 2:
The patent creates a coefficient-based copy or representation of the original CAD geometry that retains all essential geometric information. This coefficient representation serves as a searchable surrogate that enables efficient comparison while preserving the complete geometric characteristics needed for accurate similarity matching.
3Measurement precision
If geometric field-based search with coefficient comparison is implemented, then the ability to locate similar components is improved, but the computational complexity increases
Solution Approach 1:
The patent extracts only the essential geometric characteristics from complete CAD models and represents them as a set of coefficients. By extracting and storing only these critical geometric parameters rather than complete model data, the system reduces computational complexity while maintaining the ability to perform accurate geometric similarity comparisons.
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 quick and accurate location of similar CAD components and enhances the matchmaking process between OEMs and contract manufacturers by prioritizing search results based on geometric similarity, reducing part costs through efficient operations and superior manufacturing knowledge.
Implementation Method 1
The simulated electrostatic charge distribution of the surfaces of the component are the boundary conditions used for the solution to Poisson's equation. The solution of Poisson's equation for a given set of boundary conditions is unique in that the boundary conditions are representative of the component's geometry.
Data Source
AI summary
One implementation provides a method for processing a first representation of a geometry of a component that is stored in a computer file. In this implementation, the method includes analyzing the first representation of the geometry of the component, and, upon analysis, generating a second, non-invertible representation of the geometry of the component from the first representation, the second representation being at least partially independent of a rotation or a translation of the component in space.