3D Print Support Segmentation for Mold Lock Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mold lock occurs in three-dimensional printing when rigid support structures become geometrically interlocked with the printed object, preventing physical removal, and existing methods lack efficient automated solutions for identification and remediation.
Innovation Solution
A method involving layer-by-layer two-dimensional analysis to identify unconstrained removal paths for support structures, applying modification rules to break support structures into removable pieces, and employing three-dimensional strategies for complex cases, ensuring aligned draw paths and subdividing mold locked regions to facilitate removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If rigid support structures are used in three-dimensional printing, then manufacturing precision and structural integrity are improved, but mold lock occurs preventing removal of supports
Solution Approach 1:
The patent divides rigid support structures into multiple removable segments by inserting cut features at strategically located positions. This segmentation allows each segment to be independently removed after printing, solving the mold lock problem while maintaining the structural integrity of the final object. The cut features create separation planes that enable clean detachment of support segments.
Solution Approach 2:
The patent extracts the problematic interlocked portions of support structures by identifying and removing geometric features that cause mold lock. Through automated analysis of the digital model, the system identifies regions where supports become geometrically interlocked with the object and applies remediation operations to extract these problematic areas, enabling support removal.
2Productivity
If automated detection and remediation of mold lock is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex three-dimensional mold lock detection problem into multiple simpler two-dimensional analysis steps. By slicing the digital model into layers and analyzing each layer independently for draw paths, the system achieves computational efficiency while maintaining accuracy. This layered approach breaks down the algorithmic complexity into manageable sequential operations.
Solution Approach 2:
The patent transforms the three-dimensional mold lock detection problem into a series of two-dimensional problems by analyzing horizontal draw paths in each layer. This dimensionality reduction simplifies the computational complexity while preserving the essential geometric relationships needed to identify and remediate mold lock conditions.
3Ease of operation
If support structures are broken into multiple pieces, then ease of support removal is improved, but manufacturing complexity increases
Solution Approach 1:
The patent performs preliminary modification of the digital model by automatically inserting cut features into support structures before the printing process. This preliminary action divides supports into removable segments in the digital domain, so that the physical printing process produces supports that are pre-configured for easy removal. The cut features are strategically placed to enable segment separation without requiring post-printing modification.
Data Source
AI summary
Mold lock is remediated by performing a layer-by-layer, two-dimensional analysis to identify unconstrained removal paths for any support structure or material within each two-dimensional layer, and then ensuring that aligned draw paths are present for all adjacent layers, all as more specifically described herein. Where locking conditions are identified, a sequence of modification rules are then applied, such as by breaking support structures into multiple, independently removable pieces. By addressing mold lock as a series of interrelated two-dimensional geometric problems, and reserving three-dimensional remediation strategies for more challenging, complex mold lock conditions, substantial advantages can accrue in terms of computational speed and efficiency.


