CAD Extrusion Surface Detection via Orthogonal Projection Ratio
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Solution Overview
Problem
Current computer-aided design (CAD) systems lack an efficient method for detecting material extrusion in mechanical parts, which is crucial for accurate manufacturing processes such as molding, machining, and additive manufacturing.
Innovation Solution
A computer-implemented method that analyzes a CAD 3D model by computing a ratio of an orthogonal projection of the skin portion on a plane orthogonal to the extrusion axis over the area of the skin portion, using a Monte-Carlo method to determine if the material distribution is arranged as an extrusion surface, and parameterizes the detected extrusion surfaces for improved manufacturing preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional CAD systems are used for detecting material extrusion, then the existing CAD functionalities are maintained, but the detection efficiency and accuracy of extrusion surfaces are insufficient
Solution Approach 1:
The patent transforms the extrusion detection problem into a parameter-based mathematical verification by computing the ratio between the orthogonal projection area and the skin portion area. By defining an extrusion axis and calculating geometric parameters (projection area ratio), the system achieves both high detection accuracy and computational efficiency, resolving the contradiction between precise measurement and productivity.
2Measurement precision
If the orthogonal projection ratio method is applied to detect extrusion surfaces, then the detection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent replaces complex geometric analysis and manual inspection methods with a computational mathematical model. By substituting the mechanical/visual detection process with automated ratio computation based on orthogonal projections, the system achieves high detection accuracy while the computational complexity remains manageable through efficient mathematical formulation.
3Productivity
If Monte-Carlo method is used for computing the orthogonal projection area, then the computational efficiency is improved, but the measurement precision may be affected by sampling variability
Solution Approach 1:
The patent applies the Monte-Carlo method by performing a sufficient number of random sampling operations to compute the orthogonal projection area. By executing enough sampling iterations (excessive action), the statistical convergence ensures that the computed area ratio achieves the required precision threshold for extrusion detection, balancing computational efficiency with measurement accuracy.
Data Source
AI summary
A computer-implemented method for material extrusion detection in a portion of a mechanical part having a distribution of material. The method includes obtaining a CAD 3D model of the mechanical part including a skin portion representing an outer surface of the portion of the mechanical part and an extrusion axis. The method further includes computing a ratio of an area of an orthogonal projection of the skin portion over an area of the skin portion. The method further includes determining whether or not the distribution of material is arranged as an extrusion based on the ratio and a ratio threshold. The outer surface is determined to be an extrusion surface when the ratio is lower than the ratio threshold. This forms an improved solution for processing a CAD 3D model of a mechanical part.