3D Model Generation Using Voxel Tree Segmentation
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Solution Overview
Problem
Current 3D printing methods require significant computational effort to model and modify inner structures of 3D objects, as they need to consider the entire inner volume, leading to inefficiencies and increased processing time.
Innovation Solution
A method using a voxel model represented by a tree structure, where the inner volume is divided into voxels, allowing for the calculation and modification of inner structures in individual portions without affecting the entire volume, utilizing implicit functions to define properties and structures, and enabling parallel processing for efficient generation and modification of digital models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the entire inner volume is considered when modeling inner structures, then the completeness of the model is improved, but the computational effort increases significantly
Solution Approach 1:
The inner volume is divided into multiple portions, allowing the structure to be modeled in segments rather than requiring processing of the entire volume at once. This segmentation enables parallel processing and reduces the computational burden while maintaining complete coverage of the inner volume.
2Ease of manufacture
If inner structures are modified in a subregion, then the specificity of modification is improved, but the recalibration time for the entire model increases
Solution Approach 1:
By dividing the inner volume into portions, modifications can be made to specific portions without requiring recalculation of the entire model. Each portion can be independently modified and then integrated with other portions, significantly reducing recalculation time while maintaining model consistency.
Solution Approach 2:
The inner volume is pre-divided into portions with defined boundaries and data structures before modification begins. This preliminary segmentation allows for efficient localization of modifications and prevents unnecessary recalculation of unaffected regions.
3Manufacturing precision
If the entire inner volume is processed for structure calculation, then the accuracy of the model is improved, but the productivity decreases
Solution Approach 1:
The inner volume is segmented into multiple portions that can be processed in parallel. Each portion maintains sufficient detail for accurate structure calculation while being small enough to process quickly. The results from all portions are then integrated to form the complete accurate model, achieving both high accuracy and high productivity.
Solution Approach 2:
The problem is transformed from processing a single large volume to processing multiple smaller volumes simultaneously by utilizing the dimensional aspect of space. This allows parallel processing across different spatial regions, effectively increasing productivity while maintaining the accuracy that would result from processing the entire volume.
Data Source
AI summary
A method for generating a digital model of a 3D object is provided, the 3D object being for subsequent printing by a 3D printer. The 3D object has an inner volume (I), and a structure (S) is defined for a predetermined portion (A) of the inner volume (I).