Octree Serialization for Multi-Material 3D Printing
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Solution Overview
Problem
Existing 3-D printing technologies are limited by the use of single materials per object, requiring manual assignment and being inefficient with complex data sets, leading to time-consuming processes and hardware limitations.
Innovation Solution
The implementation of octree serialization and de-serialization methods that enable the encoding and decoding of multi-material voxel data structures, allowing for the identification and manipulation of any voxel in the data structure, and the creation of a serialization and de-serialization scheme to write and reconstruct octree data structures efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual assignment of materials to each mesh is used, then material assignment flexibility is achieved, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system automatically assigns materials to mesh segments based on the octree data structure and material template, eliminating the need for manual material assignment. The automated material assignment process reads the octree representation, identifies different material regions, and assigns appropriate materials according to the template, thereby reducing time consumption while maintaining material assignment flexibility.
Solution Approach 2:
The patent transforms the material assignment process from manual parameter input to automated parameter extraction. By changing the data representation to octree format and using material templates with defined properties, the system automatically determines material assignments based on spatial parameters and material template definitions, significantly reducing the time required for material assignment.
2Adaptability or versatility
If CPU-based desktop applications are used for multi-material printing, then material assignment capability is improved, but hardware requirements increase and complex data sets cannot be handled
Solution Approach 1:
The patent uses octree data structures as a compressed representation (copy) of the 3D model with embedded material information. Instead of storing complete multi-material mesh data that requires powerful hardware, the octree creates a simplified hierarchical representation that can be processed by less powerful hardware while maintaining the ability to handle multi-material complexity through the tree structure.
Solution Approach 2:
The patent segments the 3D model into hierarchical octree nodes, where each node represents a region with specific material properties. This segmentation allows the complex multi-material model to be broken down into manageable units that can be processed independently, reducing the hardware requirements for handling complex data sets while maintaining multi-material capability.
3Adaptability or versatility
If traditional 3-D printing formats are used, then compatibility with existing printers is maintained, but file size increases and data processing becomes inefficient
Solution Approach 1:
The patent segments the 3D model data into an octree structure with hierarchical nodes, where only necessary detail levels are stored. This segmentation compresses the data by representing large homogeneous regions coarsely and only storing detailed information where needed, significantly reducing file size while maintaining the ability to print with existing printers through standard format output.
Solution Approach 2:
The patent extracts and stores only the essential material and geometric information in the octree structure, eliminating redundant data. By taking out only the necessary information (material assignments, geometric boundaries, and hierarchical structure) and discarding unnecessary detail, the system achieves compact file sizes that are efficient for data processing while remaining compatible with existing printing hardware.
Data Source
AI summary
In some examples, octree serialization can include non-transitory machine-readable medium storing instructions, the instructions executable by a processing resource to evaluate two or more nodes sequentially in an octree structure until a leaf node is reached, wherein the two or more nodes include at least one non-leaf node, and generate a serialized octree document based on a respective node identifier in a header associated with each node of the two or more nodes.