Parametric 3D Grading for Custom Fit Product Manufacturing
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Solution Overview
Problem
Current systems lack a standardized and simplified method for integrating user data to customize and refine the fit of manufactured products, particularly in the clothing industry, where customization of ornamentation, coloring, and fit is complex and not effectively addressed by existing technologies.
Innovation Solution
A computer-based approach utilizing parametric grading and modeling techniques to generate customizable product models, allowing users to interact with interfaces for adjusting fit and collaborating with agents to produce tailored products, with functionalities for generating manufacturing instructions and transmitting them to manufacturers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional customization methods are used for manufactured products, then users can customize ornamentation, coloring, and decoration, but the system complexity and integration difficulty increase significantly
Solution Approach 1:
The system segments the customization process into distinct modules: user data collection, parametric model generation, grading system, and manufacturing instruction generation. Each module handles specific aspects of customization independently, reducing overall system complexity while maintaining comprehensive customization capabilities.
Solution Approach 2:
The patent creates a universal parametric modeling system that can handle multiple product types (clothing, footwear, accessories) through a single integrated platform. The system uses standardized data structures and modeling techniques that work across different product categories, eliminating the need for separate customization systems for each product type.
2Manufacturing precision
If parametric modeling and grading systems are implemented, then product fit accuracy and customization efficiency improve, but the initial system development and integration become more complex
Solution Approach 1:
The system performs preliminary actions by pre-defining parametric models and grading rules for different product types before actual customization occurs. Standardized templates and pre-configured parameters are prepared in advance, allowing rapid generation of custom-fit products without complex real-time calculations during the customization process.
Solution Approach 2:
The patent utilizes parameter changes as the core mechanism for achieving custom fit. By adjusting a limited set of key parameters (body measurements, size preferences, fit style) within the parametric model, the system generates customized product patterns through mathematical transformations, avoiding the need for complex redesign processes.
3Adaptability or versatility
If user-specific data is integrated into the customization process, then personalized fit and appearance are achieved, but data processing and transformation requirements increase
Solution Approach 1:
The system uses copying by creating digital replicas of user measurements and product patterns. User-specific data is copied into standardized data structures that can be directly applied to parametric models, and product patterns are copied and transformed based on parameter adjustments, enabling rapid personalization without extensive data processing.
Solution Approach 2:
The patent replaces manual data processing and transformation with automated computational methods. Algorithms automatically transform user measurement data into parametric model inputs and generate grading adjustments, eliminating time-consuming manual calculations and data manipulation steps.
4Manufacturing precision
If collaborative design processes are implemented between users and agents, then product customization quality improves, but system coordination and communication requirements increase
Solution Approach 1:
The system introduces an intermediary agent that mediates between user preferences and manufacturing requirements. The agent translates user customization requests into technical parameters for the parametric model, coordinates design adjustments, and generates manufacturing instructions, simplifying the coordination between multiple stakeholders.
Data Source
AI summary
In some implementations, a method for custom fitting and manufacturing parametric products comprises generating a plurality of parametric 3D models of a custom product based on past learned data pertaining to the custom product; generating a first user interface comprising at least a first graphical representation of the custom product; receiving a plurality of adjustment 3D parameters for improving a fit of the custom product in relation to user-specific data; determining two particular parametric 3D models of the plurality of parametric 3D models, each having at least one 3D parameter, of the plurality of corresponding 3D parameters, that is within a particular tolerance of at least one 3D parameter of the plurality of adjustment 3D parameters; generating a parametric 3D fit model having a plurality of 3D fit model parameters by interpolating, for the at least one parameter of the two particular parametric 3D models, between a plurality of corresponding 3D control points of a first parametric 3D model and a plurality of corresponding 3D control points of a second parametric 3D model of the two particular parametric 3D models; transmitting the parametric 3D fit model to a manufacturer to cause the manufacturer to produce a parametric physical product based on the plurality of 3D fit model parameters of the parametric 3D fit model.