Parametric Product Grading for Custom Fit and Manufacturing
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Solution Overview
Problem
Current systems lack a simple and effective method to integrate user data transformations for customizing and refining manufactured products, particularly in clothing, to meet individual user needs, including fit and ornamentation.
Innovation Solution
A computer-based approach using parametric grading and modeling techniques to modify and refine product appearance and fit, incorporating user data, anthropometric and biometric data, and allowing collaboration with agents to generate manufacturing instructions for tailored products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If parametric grading and modeling techniques are implemented to customize products, then product customization capability is improved, but system complexity increases
Solution Approach 1:
The system segments the customization process into distinct modules: parametric model generation, graphical representation generation, and user interface presentation. Each module handles specific tasks independently, allowing complex customization functionality to be built from manageable components that can be developed and maintained separately.
Solution Approach 2:
The system introduces an intermediary parametric model that acts as a bridge between raw user data and the final customized product design. This intermediate representation layer simplifies the transformation process by providing a structured format that can be easily manipulated and visualized, reducing the overall system complexity.
2Manufacturing precision
If user data transformations are integrated to accommodate individual user needs, then customization accuracy is improved, but implementation difficulty increases
Solution Approach 1:
The system performs preliminary transformations on user data to create a standardized parametric model before proceeding to product design. By pre-processing and normalizing user inputs into a consistent parametric format, the system ensures high customization accuracy while reducing the complexity of subsequent design operations.
Solution Approach 2:
The system utilizes parametric modeling where product dimensions and characteristics are defined by adjustable parameters derived from user data. This approach enables precise customization through systematic parameter adjustments rather than complex geometric transformations, improving accuracy while maintaining implementation feasibility.
3Manufacturing precision
If collaborative features are added to allow user-agent interaction, then customization quality is improved, but interface complexity increases
Solution Approach 1:
The graphical representation serves multiple functions simultaneously: it visualizes the parametric model, displays customization options, and facilitates collaborative interaction between users and agents. This multi-functional design improves customization quality through collaboration while avoiding the need for separate interfaces for each function.
Solution Approach 2:
The system creates a visual copy or representation of the parametric model that can be manipulated and reviewed collaboratively. This graphical copy allows users and agents to interact with the design without directly modifying complex underlying data structures, improving customization quality while maintaining interface simplicity.
Data Source
AI summary
In some implementations, a method for custom fitting and manufacturing parametric products comprises: generating a parametric model of a custom product based on past learned data pertaining to the custom product and user-specific data of a user; translating the parametric model of the custom product to a plurality of parameters of the custom product; based on the plurality of parameters, generating a first graphical representation of the custom product; generating a first user interface and displaying the first user interface; receiving a plurality of adjustment parameters for improving a fit of the custom product in relation to the user-specific data; based on the plurality of adjustment parameters and the plurality of parameters of the custom product, generating, for the custom product, a parametric fit model having a plurality of fit model parameters; transmitting the parametric fit model to a manufacturer to cause the manufacturer to produce a parametric physical product.