3D Model Orientation to Minimize Support Marks on Sensitive Surfaces
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Solution Overview
Problem
Existing additive manufacturing methods face challenges in determining the optimal orientation of 3D models to minimize the need for support structures, particularly for sensitive surface segments, leading to potential geometric changes and manual intervention risks.
Innovation Solution
A method involving triangulation of surface segments, assignment of weighing factors to indicate sensitivity, and optimization of an evaluation function to determine the orientation that minimizes support structure attachment on sensitive areas, using a computer program for automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If support structures are attached to the 3D object during additive manufacturing, then the 3D object can be printed with complex geometries, but the mechanical removal of support structures leads to time-consuming post-processing and potential geometric changes
Solution Approach 1:
The method performs preliminary analysis of the 3D model's surface geometry and automatically determines optimal build orientation before printing. By pre-identifying sensitive surface segments and calculating the evaluation function, the system prepares the model in advance to minimize support structure attachment on critical surfaces, thereby reducing subsequent post-processing time and manual intervention.
2Productivity
If support structures are attached to sensitive surface segments, then the 3D object can be printed, but the removal process causes geometric changes and reduces manufacturing precision
Solution Approach 1:
The method applies local quality assessment by dividing the surface geometry into multiple surface segments and assigning different weighing factors to each segment based on its sensitivity to support structure removal. This allows the system to differentiate between critical surfaces requiring high precision and non-critical surfaces where supports can be attached, thereby maintaining manufacturing precision on sensitive areas while enabling printing capability.
Solution Approach 2:
The method replaces manual mechanical assessment of surface sensitivity with an automated computational evaluation function. By using algorithmic analysis of surface geometry and automatic optimization of build orientation, the system substitutes manual intervention with automated decision-making, reducing human error and improving consistency in identifying sensitive surfaces.
3Manufacturing precision
If manual intervention is used to remove support structures from sensitive areas, then geometric accuracy can be maintained, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The method enables the 3D model to serve itself by automatically identifying sensitive surface segments and determining optimal build orientation without manual intervention. The evaluation function autonomously analyzes surface geometry and makes decisions about support structure placement, allowing the system to self-optimize the printing process and minimize the need for subsequent manual post-processing.
Solution Approach 2:
The method implements feedback by using the evaluation function to continuously assess the impact of different build orientations on surface sensitivity. The system calculates the evaluation function for various orientations and uses this feedback to automatically select the optimal orientation that minimizes support structure attachment on sensitive surfaces, thereby reducing manual post-processing requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces the need for manual intervention and potential surface damage by optimizing support structure placement, ensuring precise and efficient 3D printing with reduced misprints.
Implementation Method 1
a 3D object is printed layer-by-layer through light-induced curing of a liquid printing medium i.e., a liquid photocurable resin, which is selectively cured under the influence of UV radiation
Data Source
AI summary
A method of determining the orientation of a 3D Model to be generated by an additive manufacturing apparatus having a vat for holding photocurable material; and a platform for holding the 3D object corresponding to the 3D model. The platform is relatively movable with respect to the vat and the method includes a step of defining the surface geometry of the 3D model and the surface geometry includes surface segments si.