Custom Compression Garment Pattern Generation via 3D Body Scanning
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Solution Overview
Problem
Existing methods for manufacturing compression garments rely on standard sizes, resulting in inconsistent compression profiles, leading to inadequate or excessive compression for individuals, and fail to account for varying body shapes and material degradation over time, which can impact performance, recovery, and comfort.
Innovation Solution
A system that uses 3D scanning to generate custom garment patterns with specific compression profiles, allowing for bespoke size and compression, by analyzing body shape data and material properties to produce accurate, adjustable compression garments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standard sizes are used for mass production, then manufacturing efficiency is improved, but compression consistency deteriorates
Solution Approach 1:
The system segments the body into multiple measurement zones (torso, arms, legs, etc.) and generates separate pattern pieces for each zone. This allows customization for each body region while maintaining efficient automated production through digital pattern generation and cutting.
Solution Approach 2:
The system changes the parameters of garment patterns based on individual body scan data, adjusting dimensions, curvature, and compression levels to match each customer's unique body shape. This enables custom compression garments to be produced through automated digital pattern modification rather than manual tailoring.
2Manufacturing precision
If custom patterns are generated for each individual, then compression precision is improved, but manufacturing complexity increases
Solution Approach 1:
The system replaces manual measurement and pattern-making processes with automated 3D body scanning and digital pattern generation. Customers are scanned using optical sensors, and software automatically generates custom patterns based on the scan data, eliminating the need for manual tailoring while maintaining high precision.
Solution Approach 2:
The system creates a digital 3D copy of the customer's body through scanning, which is then used to generate accurate 2D garment patterns. This digital copying process captures complex body geometries and translates them into manufacturable pattern data without requiring physical pattern making.
3Stress or pressure
If negative ease is applied to achieve form-fitting, then garment compression is improved, but manufacturing accuracy requirements increase
Solution Approach 1:
The system pre-calculates the negative ease dimensions during the digital pattern generation phase, incorporating material stretch properties and desired compression levels into the pattern design before manufacturing. This allows the compression effect to be built into the pattern geometry itself, reducing the need for complex adjustments during production.
Data Source
AI summary
Embodiments relate to methods for generating at least one custom pattern for use in garment construction, the method comprising receiving scan data relating to a three dimensional scanned body; receiving input regarding a garment use case; selecting at least one compression value based at least in part on the garment use case; calculating at least one negative ease dimension based on the at least one compression value; and modifying predetermined garment pattern dimensions based on the at least one negative ease dimension to generate the at least one custom pattern.