CAD Design Element Selection via Graph Database Recommendations
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Solution Overview
Problem
The creation of models in computer-aided design environments like Simcenter Amesim is labor-intensive and error-prone for users, requiring extensive training and documentation to select and parameterize design elements, especially for inexperienced users.
Innovation Solution
A method utilizing a graph database-based design databank that allows users to select design elements, determine relevant designs, and display information, with AI-driven recommendations for adjacent design elements based on frequency and similarity, facilitating efficient design element selection and arrangement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive training and expert support are provided to users, then the reliability of model creation improves, but the complexity of the system increases and time is lost in training
Solution Approach 1:
The system automatically analyzes existing designs and provides contextual recommendations for design elements without requiring user intervention. The computer system serves itself by generating suggestions based on frequency analysis of design element usage in similar designs, eliminating the need for expert support while maintaining reliability.
Solution Approach 2:
The system pre-analyzes the design database to identify frequently used design elements and their contexts before the user needs them. By preparing recommendation data in advance based on historical design patterns, the system eliminates the need for comprehensive training while providing reliable suggestions when users need them.
2Manufacturing precision
If users study existing designs and documentation thoroughly, then the manufacturing precision of model creation improves, but the time required increases significantly
Solution Approach 1:
The system provides feedback to users by displaying information about how frequently design elements are used in existing designs and showing them as recommendations. This feedback mechanism guides users to select appropriate design elements without requiring them to study documentation, maintaining precision while reducing time investment.
Solution Approach 2:
The patent replaces the mechanical process of users studying documentation and analyzing designs with an automated computer-based system that performs frequency analysis and generates recommendations. This substitution eliminates the time-consuming manual study process while maintaining or improving design element selection accuracy.
3Loss of information
If extensive documentation and library resources are provided, then the completeness of design information improves, but the complexity of navigating and using these resources increases
Solution Approach 1:
The system extracts only the most relevant design element information from the comprehensive design database based on frequency analysis. Instead of presenting all available documentation and library resources, it extracts and displays only the design elements that are most frequently used in similar contexts, maintaining information completeness while dramatically improving ease of operation.
Solution Approach 2:
The patent segments the comprehensive design database into relevant and irrelevant portions based on frequency analysis. By dividing the large body of documentation into focused recommendations based on usage patterns, the system maintains access to complete design information while presenting only the essential portions to users, improving ease of operation.
Data Source
AI summary
A method for generating a virtual model of a component using a computer-aided design (CAD) environment including a design database is provided. The design database is used to store designs. The CAD environment provides predefined design elements. At least some of the designs include predefined design elements. In order to increase an efficiency with which models are created, a design databank contains information from the design database relating to designs. In a design phase, the method further includes selecting at least one design element, determining designs that contain the selected design element from the design databank, and displaying information relating to at least one of the determined designs.