3D Knitwear Pattern Generation from Body Scan Data
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Solution Overview
Problem
Traditional garment pattern design methods are time-consuming and prone to human error, while existing CAD methods primarily focus on woven garments, failing to ensure a custom-tailored fit for knitwear that allows uninhibited body movement.
Innovation Solution
A 3D-to-3D computer-aided design system that uses 3D body data to generate contour-fit knitwear patterns, transforming 2D woven patterns into 3D knitwear panels for weft knitting machines, enabling direct production of 3D fully fashion knitwear without cut-and-sewn manufacturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional garment pattern design methods are used, then manual pattern making can be performed, but the process becomes time-consuming and prone to human error
Solution Approach 1:
The patent replaces manual mechanical pattern making operations with an automated computer-aided design system that uses 3D body scanning data to generate knitwear patterns automatically. This substitution eliminates human manual operations and associated errors while significantly reducing the time required for pattern creation.
Solution Approach 2:
The system creates accurate digital 3D copies of the human body through scanning technology, then uses these digital models to generate precise pattern designs. This digital copying process eliminates the need for physical manual measurements and pattern drafting, improving both accuracy and efficiency.
2Extent of automation
If existing CAD methods for woven garments are applied to knitwear, then pattern design can be automated, but the custom-tailored fit and body movement flexibility cannot be ensured
Solution Approach 1:
The patent changes the fundamental parameters of pattern design by transitioning from 2D woven garment patterns to 3D knitwear patterns that incorporate body movement flexibility as a design parameter. The system uses 3D body scanning data to capture actual body contours and movement ranges, then translates these into knitting instructions that allow the garment to adapt to body movements while maintaining custom fit.
Solution Approach 2:
The system transitions from traditional 2D pattern design to 3D pattern generation by utilizing 3D body scanning data. This dimensional change enables the creation of patterns that inherently account for body contours and movement in three-dimensional space, ensuring both custom fit and movement flexibility simultaneously.
3Ease of manufacture
If 2D-to-3D conversion methods are used, then patterns can be generated from flat designs, but the contour fit and custom-tailored appearance cannot be achieved
Solution Approach 1:
Instead of converting 2D patterns to 3D garments, the patent inverts the process by scanning the 3D human body and directly generating 3D knitwear patterns from the 3D data. This reversal ensures that the patterns are inherently contoured to the individual's body shape, achieving custom fit precision while maintaining ease of manufacture through automated generation.
Data Source
AI summary
A fully fashion knitwear made by using a method for generation of contour fit three-dimensional (3D) fully fashion knitwear pattern based on 3D body data of an individual. The method comprises the following steps: digitizing an individual to create a 3D body data cloud; automatically recognizing body landmarks; extracting the body measurements; calculating the garment pattern block of the digitized surface of the individual according to the extracted body measurements including geodesic (minimal distance) measurements; transforming the garment block to 3D weft knitwear pattern by introducing horizontal and/or vertical darts; and translating the modified knitwear pattern to knitting diagrams and/or instructions, which can then be transferred manually to knitwear CAD system to control the automatic knitting machine to knit the required knitwear.