Automated 3D Puzzle Segmentation and Flap Generation
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Solution Overview
Problem
Existing methods for creating three-dimensional paper puzzles require substantial manual input, including manual editing of segments and adding flaps, which is time-consuming and inefficient.
Innovation Solution
A method and system for automatically generating three-dimensional paper puzzles by receiving a 3D model, extracting preliminary segments, and generating two-dimensional printable segments that can be printed and selectively coupled to form a 3D representation of an object, using a processor and printer to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual editing and flap addition are used to create 3D paper puzzles, then manufacturing precision can be achieved, but productivity is reduced and loss of time increases
Solution Approach 1:
The system performs automatic segmentation and flap generation without requiring manual editing. The computer automatically divides the 3D model into segments, calculates flap positions and sizes, and prepares print-ready files, enabling the system to serve itself rather than requiring human operators for each puzzle creation task.
Solution Approach 2:
The system performs all necessary preprocessing operations before printing, including 3D model segmentation, flap calculation, and 2D pattern generation. This preliminary automated preparation ensures that when printing occurs, all segments are ready with precise dimensions and attached flaps, eliminating the need for post-print manual editing while maintaining high precision.
2Productivity
If automated generation is implemented, then productivity increases and loss of time decreases, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single automated platform: 3D model reception, automatic segmentation, flap calculation, 2D pattern generation, and print preparation. This multi-functional approach consolidates what would otherwise require separate manual processes, managing system complexity while maximizing productivity through unified automated operation.
Solution Approach 2:
The system replaces manual mechanical operations (cutting, folding, assembling) with computational algorithms. The computer calculates segment boundaries, determines flap dimensions and positions, and generates precise 2D patterns through software processing, substituting physical manual work with digital computation to achieve high productivity without proportionally increasing physical device complexity.
3Adaptability or versatility
If complex puzzles with numerous segments are produced, then adaptability increases, but ease of manufacture decreases
Solution Approach 1:
The system automatically divides complex 3D models into multiple manageable segments based on geometric features and surface curvature. This automated segmentation handles puzzles with any number of segments uniformly, allowing the system to adapt to varying puzzle complexities while maintaining ease of manufacture through consistent algorithmic processing rather than manual intervention.
Solution Approach 2:
The system dynamically adjusts segmentation strategies and flap configurations based on the specific characteristics of each 3D model. It adapts its processing approach to handle different puzzle complexities, segment counts, and geometric features, making the manufacturing process equally easy whether producing simple or highly complex puzzles through flexible automated decision-making.
Data Source
AI summary
The method of creating a three-dimensional (3D) puzzle of an object includes receiving a 3D model of the object; sequentially extracting a plurality of preliminary segments from the 3D model, and generating a plurality of two-dimensional (2D) printable segments corresponding to the plurality of preliminary segments. The plurality of printable segments may be configured to be printed to create a plurality of printed segments that may be configured to be selectively coupled together to form a 3D representation of the object.