Custom Knit Pattern Generation for Scalable Fit Precision
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Solution Overview
Problem
The garment industry faces challenges in producing custom-fit knit clothing due to the complexity of knit patterns, yarn characteristics, and the need for machine reconfiguration for each style, limiting volume production and increasing costs, while generic sizing fails to provide a good fit for customers of varying shapes and sizes.
Innovation Solution
A custom-knitting system that generates and stores custom apparel patterns based on user-provided information, using automated knitting machines to produce one-off or on-demand knitted articles, incorporating computer technology to optimize the process and share data for improved pattern generation and manufacturing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If custom-fit knit clothing is produced using traditional manual tailoring methods, then the fit precision is improved, but the production time and cost increase significantly
Solution Approach 1:
The patent replaces manual mechanical tailoring processes with automated computer-controlled knitting machines. The system uses software to generate knitting patterns and controls automated machines to produce custom-fit garments, substituting human manual operations with automated mechanical systems that maintain precision while reducing production time.
Solution Approach 2:
The system changes the parameters of the knitting process by using computer-controlled adjustments of needle selection, stitch patterns, and yarn feeding. These parameter changes allow the machine to adapt to different customer measurements and preferences, maintaining custom-fit precision while enabling faster automated production.
2Adaptability or versatility
If knitting machines are reconfigured manually for each custom style, then the adaptability is improved, but the device complexity and setup time worsen
Solution Approach 1:
The patent implements dynamic reconfiguration capabilities where the knitting machine can be programmatically adjusted between different styles and patterns. The system uses software-controlled needle selection and pattern generation that allows the machine to dynamically adapt to various knitting styles without requiring complex manual reconfiguration, maintaining versatility while reducing setup complexity.
Solution Approach 2:
The knitting machine is designed with universal capabilities to handle multiple knitting styles and patterns through a single automated system. The computer-controlled architecture allows the same machine to produce different garment types by loading different digital patterns, eliminating the need for specialized machines for each style and reducing overall system complexity.
3Productivity
If volume production of custom-fit knit garments is attempted, then the productivity is improved, but the manufacturing complexity and quality control worsen
Solution Approach 1:
The patent replaces manual quality control and production management with automated computer-controlled systems. The software generates precise knitting patterns and controls the machines to follow these patterns automatically, ensuring consistent quality across volume production while reducing the complexity of manual oversight and coordination.
Solution Approach 2:
The system implements self-service capabilities where the computer-controlled knitting machine automatically adjusts parameters and follows generated patterns without continuous human intervention. This automation enables volume production while maintaining quality consistency, as the machine self-regulates the knitting process according to digital instructions rather than requiring complex manual management.
Data Source
AI summary
Apparel patterns may be generated as a function of custom apparel information provided by a user, such as one or more measurements, colors, etc., such that the user can have apparel custom-knitted to their particular size and shape without having to acquiesce the high expense and long wait times typically associated with custom-fit clothing. After a custom apparel pattern is generated, a custom-knitted article can be manufactured based on the pattern by transmitting appropriate information to a knitting machine. Data produced while generating custom apparel patterns can be stored and used to optimize and improve the manufacturing of customized knitwear for subsequent users. Further, such data can be shared with third parties such that manufacturers or others can utilize one or more beneficial aspects of the present disclosure without having to implement all of the functionality that would otherwise be required to obtain such benefits.