Mechanical Part Profile Detection Using Distortion Thresholds
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Solution Overview
Problem
Existing methods for profile detection in discrete 3D models of mechanical parts are inadequate, particularly failing to identify valid profiles in complex cases such as self-intersecting curves and degenerate surfaces, which cannot be processed by CAD software, leading to models that are not exploitable for manufacturing.
Innovation Solution
A computer-implemented method that evaluates candidate parameterizations and projections of 3D surfaces by computing a function that penalizes distortion between neighboring points, determining if the distortion is below a threshold to confirm a valid profile, ensuring the detected profiles are continuous and can be processed by CAD software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing profile detection methods are used on discrete 3D models, then simple profiles can be identified, but complex cases such as self-intersecting curves and degenerate surfaces cannot be processed, leading to models that are not exploitable for manufacturing
Solution Approach 1:
The patent transforms the profile detection problem by changing the parameterization approach - using a distortion function that operates on parameter values rather than direct geometric coordinates. This allows the method to handle complex cases like self-intersecting curves and degenerate surfaces by evaluating parameter continuity and distortion thresholds, thereby improving both adaptability to various profile types and reliability of manufacturing usability
Solution Approach 2:
The patent introduces an intermediary distortion function E(V, F) that mediates between the raw 3D surface geometry and the final profile determination. This function computes distortion based on parameter values and projected coordinates, acting as a bridge that filters out problematic cases (self-intersections, degeneracies) while preserving valid complex profiles, thus resolving the contradiction between handling diverse profiles and ensuring manufacturing reliability
2Measurement precision
If a distortion function is computed for each couple of neighboring points to evaluate profile validity, then accurate profile detection is achieved, but computational complexity increases
Solution Approach 1:
The patent segments the profile detection process into discrete evaluations of neighboring point couples along the parameterization. By computing the distortion function E(V, F) locally for each adjacent pair of points and comparing against a threshold, the method achieves high measurement precision through localized analysis while avoiding the need for complex global computations, thus balancing accuracy with computational feasibility
Data Source
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AI summary
The disclosure notably relates to a computer-implemented method for profile detection in a discrete 3D model. The discrete 3D model represents a mechanical part. The method comprises, for each 3D surface of at least one 3D surface of the 3D model, providing a candidate parameterization of the 3D surface and a candidate projection of the 3D surface into . The method further comprises computing a function. The function penalizes, for each couple of points of the 3D surface having neighboring parameter values, a distortion. The distortion is between a disparity between the projection of the points, and a disparity between the parameterization of the points. The method further comprises determining that the candidate parameterization and the candidate projection form a valid profile of the 3D surface if the computed function is smaller than a predefined threshold.