Knitted Component Customization Using Predictive Deformation Models
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Solution Overview
Problem
Conventional knitting systems face inefficiencies in designing and manufacturing knitted components due to the lack of direct link between design and manufacturability, leading to time-consuming and costly iterative processes, especially when dealing with complex multiple structured knits, resulting in fabric deformations and increased waste.
Innovation Solution
A digital customization system that utilizes a library of knitted structures and a comprehensive computational predictive model to estimate and compensate for deformations, allowing for dynamic design adjustments and improved automation of the knitting process, thereby reducing manual intervention and enhancing the accuracy and speed of knitted product manufacturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional knitting systems are used with separate design and manufacturing processes, then design flexibility is maintained, but manufacturing efficiency decreases and iterative cycles increase
Solution Approach 1:
The patent combines the design software and manufacturing control into a single integrated system. The design software directly generates knitting machine instructions without requiring separate programming steps, merging the design and manufacturing processes to eliminate iterative cycles and improve productivity.
Solution Approach 2:
The system performs preliminary simulation of the knitting process within the design software before actual manufacturing. This allows potential issues to be identified and resolved in the design phase, preventing costly iterative rework during production and reducing overall manufacturing time.
2Manufacturing precision
If digital control tools are used for customization of knitted fabrics, then design precision improves, but fabrication complexity increases due to physical deformations
Solution Approach 1:
The system incorporates deformation compensation algorithms that calculate and correct for fabric distortion before the knitting process begins. By pre-compensating for expected deformations in the digital design phase, the system maintains manufacturing precision while avoiding the need for complex manual adjustments during fabrication.
Solution Approach 2:
The system creates a digital twin or virtual model of the knitting process that replicates physical behavior. This digital copy allows for simulation and prediction of fabric deformations, enabling precise control without requiring complex physical trial-and-error processes.
3Manufacturing precision
If manual testing and iteration are performed to achieve accurate knit designs, then fabric deformation control improves, but production speed decreases and waste increases
Solution Approach 1:
The system uses virtual simulation to replicate the physical knitting process and predict fabric behavior before actual production. This digital copying allows for accurate deformation control to be achieved in the virtual environment, eliminating the need for multiple physical test iterations and thereby increasing production speed while reducing waste.
Solution Approach 2:
The patent replaces manual physical testing with automated computational simulation. The simulation engine predicts fabric deformation and allows for virtual adjustments, substituting mechanical trial-and-error with digital analysis to maintain precision while dramatically improving production speed and reducing material waste.
4Adaptability or versatility
If complex multiple structured knits are manufactured using conventional processes, then design versatility is achieved, but fabrication difficulty increases and requires highly trained individuals
Solution Approach 1:
The system merges design creativity with automated manufacturing control in a single software platform. This integration allows complex multi-structured knit designs to be created and manufactured without requiring highly trained operators, as the software automatically manages the complexity of coordinating different stitch structures and patterns.
Data Source
AI summary
Computer based systems and methods for designing and manufacturing consumer products, including knit footwear uppers, and the like. The system provides digital controls for the customization of knitted components, including complex multi-structured knitted components. The system simulates deformations of knit structures and allows the user to control and visualize compensations in the structure(s) of the knitted component to better match between an intended knit design and the actual physical knitted component outcome. They system may manufacture/fabricate a knitted component based on the predicted/estimated deformation behavior of the knit.


