Automated CAD Geometric Data Extraction for CATIA V4 to V5 Conversion
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Solution Overview
Problem
Existing systems and methods for converting CATIA V4 models to CATIA V5 models are labor-intensive, require extensive manual effort, and may not capture all geometric features automatically, leading to incomplete conversions.
Innovation Solution
A system and method that utilize a processor and interface application to automatically identify, select, and group geometric data from CAD models based on parametric rules, extracting specific geometric data and writing it to an intermediate output file, enabling the generation of a parameterized CATIA V5 model with language-neutral data for finite element modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing manual conversion methods are used to convert CATIA V4 to CATIA V5, then some geometric features can be converted, but extensive manual labor and time are required
Solution Approach 1:
The patent replaces manual mechanical conversion operations with an automated computer-based system that uses algorithms to identify, extract, and convert geometric features from CATIA V4 to CATIA V5 format, eliminating the need for manual intervention in the conversion process
Solution Approach 2:
The conversion system performs self-service by automatically capturing geometric features, identifying their types, and converting them to the target format without requiring external manual assistance, making the conversion process autonomous and efficient
2Reliability
If existing conversion systems are used, then partial geometric features can be converted, but not all geometric features are captured automatically
Solution Approach 1:
The patent segments the conversion process into distinct functional modules: geometric feature identification, feature type classification, data extraction, and format conversion. This modular approach ensures comprehensive coverage of all geometric features while maintaining system manageability
Solution Approach 2:
The conversion system is designed with universal capabilities to handle multiple types of geometric features (edges, vertices, surfaces, solids) through a unified algorithmic framework, ensuring complete and consistent conversion across all feature types
3Manufacturing precision
If manual conversion processes are used, then some conversion accuracy can be achieved, but conversion errors still occur
Solution Approach 1:
The patent implements feedback mechanisms where the system validates extracted geometric data against the target CATIA V5 format requirements, automatically correcting inconsistencies and ensuring high conversion accuracy while maintaining efficient processing speeds
Data Source
AI summary
There is provided a system for reading geometric data from parametric model or a nonparametric model from a CAD model file. The system has a processor and an interface application, which when executed by the processor, is configured to operably receive automatically, using a first interface application, an input file that includes data representing one or more components of a three-dimensional model, and is further configured to operably determine, using the first interface application, a type of a part represented by the three-dimensional model. The first interface application has instructions, one or more algorithms, or a combination thereof, and is further configured to automatically operably identify, select, and group geometric data associated with specific geometric data of the three-dimensional model, based on a set of parametric rules. The processor writes extracted specific geometric data to a first geometry intermediate output file.