2D Garment Piece Generation Using 3D CAD Visualization
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Solution Overview
Problem
The traditional garment design process is laborious and inefficient, requiring multiple skill sets and stages, including 2D drawing, pattern making, and sample creation, with difficulty in predicting how modifications to 2D patterns affect the final draped garment.
Innovation Solution
A computer-implemented method that allows users to generate and adjust 2D garment pieces by visualizing them in a 3D assembled state on an avatar, using measurement and manipulation tools to create user-generated 2D pieces, and generating fabrication instructions for direct production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional 2D pattern making and sample creation processes are used, then garment design can be completed with available tools, but the process becomes laborious and requires multiple skill sets including pattern makers and sample makers
Solution Approach 1:
The patent combines 2D pattern making and 3D garment visualization into a single integrated system. Users can create 2D patterns and immediately see their 3D draped results without needing separate pattern makers or sample makers, thereby simplifying the manufacturing process while reducing operational complexity
Solution Approach 2:
The system creates virtual 3D copies of physical garments through computer-generated imagery. Instead of physically creating samples with pattern makers, the system generates accurate digital representations that show how 2D patterns will drape in 3D space, eliminating the need for physical sample making
2Adaptability or versatility
If modifications are made to 2D patterns in traditional process, then design adjustments can be implemented, but it becomes difficult to determine how changes will impact the resulting draped garment
Solution Approach 1:
The system provides immediate visual feedback by automatically regenerating the 3D draped garment whenever 2D pattern modifications are made. This real-time feedback loop allows users to see exactly how design changes impact the final draped appearance, eliminating the information loss that occurs in traditional sequential processes
Solution Approach 2:
The system performs preliminary 3D visualization before physical sample making. By showing the draped result of 2D pattern modifications in advance through digital rendering, users can predict the outcome of design changes without needing to create physical samples first
3Manufacturing precision
If multiple stages with different skill sets are used in traditional garment design, then comprehensive garment creation is achieved, but the process becomes inefficient and time-consuming
Solution Approach 1:
The system performs multiple functions within a single platform: 2D pattern creation, 3D garment assembly, draping simulation, and visualization. This multi-functional approach eliminates the need for multiple specialized stages and skill sets while maintaining comprehensive garment creation capabilities and significantly improving productivity
Data Source
AI summary
A computer-implemented method for fabricating user-generated 2D garment pieces of a garment, the method comprising receiving garment piece data related to a plurality of 2D garment pieces, virtually 3D assembling the garment pieces to form a 3D garment, visualizing the 3D garment on an avatar, performing a garment adjustment process and generating fabrication instructions for fabricating the user-generated 2D garment pieces, wherein the garment adjustment process comprises providing 3D measurement tools and providing a plurality of 2D projection curves, receiving a user input including a manipulation of a 2D projection curve, adjusting, in response to the user input and according to the manipulation, a 2D shape of the corresponding garment piece, visualizing, in real time, a manipulated 3D garment on the avatar, the shape pieces of the manipulated 3D garment having the adjusted 2D shapes, and storing user-generated garment 2D garment pieces.