Automated PMI Validation in CAD Models
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Solution Overview
Problem
Current systems for validating product and manufacturing information (PMI) associated with industrial machine parts require manual identification and placement of PMI objects, leading to inefficiencies and potential inaccuracies due to human subjectivity, especially in complex designs with many features.
Innovation Solution
A computer-aided technology (CAx) system with a graphical-user-interface (GUI) that receives and validates PMI, automatically reorienting and repositioning PMI objects to ensure correct representation and natural appearance, using a PMI validator to analyze and modify annotations and lines according to standards and thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual identification and placement of PMI objects is used, then flexibility in handling complex designs is maintained, but time consumption and potential inaccuracies increase
Solution Approach 1:
The patent replaces the manual mechanical process of identifying and placing PMI objects with an automated computer vision system using machine learning algorithms. The system automatically detects features in CAD models and generates corresponding PMI objects, eliminating the need for manual intervention while maintaining accuracy in complex designs.
Solution Approach 2:
The system enables the CAD model itself to provide the necessary information for PMI generation through automated feature detection. The machine learning model analyzes the geometric data and automatically creates appropriate PMI annotations without requiring external manual input, making the process self-sufficient.
2Adaptability or versatility
If manual identification and placement of PMI objects is used, then adaptability to different design complexities is maintained, but manufacturing precision may deteriorate due to human subjectivity
Solution Approach 1:
The patent replaces subjective manual judgment with objective machine learning-based automated detection. The system consistently applies detection algorithms to identify features and generate PMI objects, eliminating human subjectivity and ensuring uniform accuracy across all PMI annotations regardless of design complexity.
3Productivity
If automated validation of PMI is implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The patent creates a multi-functional system that performs multiple tasks: detecting geometric features, classifying feature types, generating PMI objects, and validating PMI information. This universal approach consolidates what would otherwise require multiple separate tools into a single integrated solution, managing complexity through functional consolidation.
Solution Approach 2:
The system introduces an intermediary machine learning layer between the CAD model and the PMI output. This intermediary automatically translates geometric data into standardized PMI annotations, simplifying the overall process despite the added computational complexity by providing a clear, automated transformation pathway.
Data Source
AI summary
A system includes a processor for implementing a computer-aided technology (CAx) system. The CAx system includes a graphical-user-interface (GUI) configured to present a computer-aided design (CAD) model that includes at least one part. The system also includes memory storing instructions configured to cause the processor to receive the CAD model and product and manufacturing information (PMI) associated with the CAD model, validate the PMI, and present the CAD model with validated PMI via the GUI.