3D Print Orientation for Minimizing Overhang Volume
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Solution Overview
Problem
Current 3D printing technologies face inefficiencies in orienting objects to minimize overhang volumes, leading to material waste and complex support structure design, which affects the quality and efficiency of the printing process.
Innovation Solution
A computer-implemented method for determining optimal orientations of a 3D modeled object to minimize overhang volume, allowing for reduced material consumption and improved printing quality by automatically calculating the most efficient orientation for 3D printing, including techniques such as discrete sampling and snapping options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If traditional 3D printing orientation methods are used, then the printing process can be completed, but overhang volume is not minimized leading to material waste and complex support structures
Solution Approach 1:
The patent applies preliminary action by calculating and determining the optimal printing orientation before the actual 3D printing process begins. The system computes overhang volume for multiple candidate orientations and selects the optimal orientation in advance, thereby minimizing material waste and simplifying support structure design before printing commences.
Solution Approach 2:
The patent applies parameter changes by varying the orientation parameters (rotation angles around different axes) of the 3D model to find the optimal configuration. The system evaluates multiple orientation parameters and selects the combination that minimizes overhang volume, thus reducing material consumption and support complexity.
2Loss of substance
If optimal orientation calculation is performed, then material waste is reduced, but computational time and processing complexity increase
Solution Approach 1:
The patent applies segmentation by dividing the continuous orientation space into a finite discrete set of candidate orientations. Instead of evaluating all possible orientations continuously, the system segments the orientation domain into discrete sampling points, computing overhang volume only for these specific orientations, thereby reducing computational time while still finding near-optimal solutions.
Solution Approach 2:
The patent applies partial action by evaluating only a selected subset of orientations (discrete sampling) rather than exhaustively analyzing all possible orientations. The system computes overhang volume for a finite number of candidate orientations and selects the best among them, achieving sufficient optimization without the excessive computational cost of complete analysis.
Data Source
AI summary
Described herein is a computer-implemented method for orienting 3D printing of a real object. The method comprises obtaining a 3D modeled object that represents the real object. The method also comprises determining one or more orientations of the 3D modeled object for which an overhang volume is optimal. This improves 3D printing.


