Finite Element to CAD Conversion via Feature Recognition
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Solution Overview
Problem
Current methods for generating computer-aided design (CAD) models from finite element models are limited in their ability to effectively integrate and convert features and parameters, leading to inefficiencies in the conversion process and compatibility with various CAD software.
Innovation Solution
A method that identifies and characterizes features of interest in finite element models, creates intermediate data structures, performs feature recognition, extracts features and properties, and uses these to generate a CAD model compatible with multiple CAD software systems, such as Parasolid, CATIA, and ProE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current methods are used to generate CAD models from finite element models, then the conversion process is simple, but the integration and conversion of features and parameters is limited and incompatible with various CAD software
Solution Approach 1:
The patent introduces intermediate data structures as a mediator between finite element models and CAD models. These intermediate structures serve as a translation layer that converts finite element mesh data into CAD-compatible formats, enabling compatibility with multiple CAD software systems (Parasolid, CATIA, ProE) without requiring complex direct conversion methods for each system
Solution Approach 2:
The conversion process is segmented into distinct modular steps: identifying features of interest, creating intermediate data structures, performing feature recognition, extracting features and properties, and generating the CAD model. This segmentation allows each step to be independently optimized and makes the overall process more manageable and adaptable to different CAD systems
2Measurement precision
If feature recognition is performed on the entire finite element model at once, then the process is straightforward, but the accuracy of feature identification decreases
Solution Approach 1:
The finite element model is divided into mesh regions, and feature recognition is performed on each region separately rather than on the entire model at once. This segmentation enables more accurate identification of local features by reducing the complexity of the analysis scope for each recognition operation
Solution Approach 2:
Intermediate data structures are created before feature recognition to organize and pre-process the mesh data. This preliminary action prepares the data in a format that facilitates more accurate feature identification during the recognition phase
Data Source
AI summary
A method of creating a CAD model from a finite element model includes identifying and characterizing features of interest from the finite element model. Multiple intermediate data structures of the finite element model are created by dividing the input mesh of the finite element model into mesh regions. Feature recognition is performed on each intermediate data structure to identify finite element model features. Features and feature properties are extracted from the finite element model, and a CAD model is created using the extracted features and feature properties.


