3D Mechanical Part Segmentation for Geometric and Free-Form Surfaces
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Solution Overview
Problem
Existing methods for segmenting 3D modeled objects representing mechanical parts are inadequate, particularly in identifying and accurately separating simple geometric and free-form surfaces, leading to inefficiencies and reduced robustness in segmentation processes.
Innovation Solution
A hierarchical segmentation method that includes a first segmentation identifying simple geometric surfaces and a second segmentation identifying free-form surfaces, using specific distance metrics to quantify shape similarity and merge neighboring surfaces based on predefined thresholds, ensuring accurate and efficient partitioning of the 3D modeled object into geometrically coherent segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single segmentation approach is used for all surface types, then the method is simpler to implement, but the segmentation accuracy and robustness deteriorate due to inability to distinguish between simple geometric and free-form surfaces
Solution Approach 1:
The segmentation method is divided into two distinct phases: a first segmentation phase for simple geometric surfaces and a second segmentation phase for free-form surfaces. This allows each phase to be optimized for its specific surface type, improving overall robustness while maintaining manageable complexity through structured division of labor.
Solution Approach 2:
Different segmentation strategies are applied to different surface types based on their local geometric properties. Simple geometric surfaces use one set of criteria while free-form surfaces use another, allowing each region to receive tailored processing that maximizes segmentation accuracy for its specific characteristics.
2Measurement precision
If all surfaces are processed using the same segmentation algorithm, then the processing workflow is more efficient, but the measurement precision of shape similarity deteriorates due to inability to quantify different surface types accurately
Solution Approach 1:
The method changes the segmentation parameters and distance metrics based on the surface type being processed. Different distance metrics are used for simple geometric surfaces versus free-form surfaces, allowing precise quantification of shape similarity appropriate to each surface type while maintaining efficient processing through automated type detection.
3Manufacturing precision
If hierarchical segmentation is implemented with multiple passes, then the segmentation accuracy improves by systematically identifying different surface types, but the processing time increases
Solution Approach 1:
The first segmentation pass performs preliminary identification of simple geometric surfaces, which are then excluded from the second segmentation pass. This preliminary action optimizes the overall process by handling the easier-to-identify surface type first, reducing the computational burden on the second pass and improving total accuracy while managing processing time.
Data Source
AI summary
A computer-implemented method for segmenting a 3D modeled object. The 3D modeled object represents a mechanical part. The method includes obtaining the 3D modeled object. The method further includes performing a hierarchical segmentation of the 3D modeled object. The hierarchical segmentation comprises a first segmentation. The first segmentation includes identifying, among surfaces of the 3D modeled object, first segments each corresponding to a simple geometric surface of the 3D modeled object. A simple geometric surface is a primitive exhibiting at least one slippable motion. The hierarchical segmentation includes then a second segmentation. The second segmentation includes identifying, among non-identified surfaces of the 3D modeled object, second segments each corresponding to a free-form surface of the 3D modeled object. This constitutes an improved method for segmenting a 3D modeled object representing a mechanical part.