Custom Material Generation for Design Criteria Satisfaction
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Solution Overview
Problem
Engineers face repetitive and time-consuming design processes when trying to manufacture physical parts that meet specific design criteria, as existing materials often lack the required properties to satisfy these criteria, forcing them to repeatedly redesign and reselect materials.
Innovation Solution
A system that generates custom materials by executing instructions on a processor to create specific material designs that meet design criteria, allowing for the fabrication of materials with unique attributes not found in pre-existing materials, using a distributed software entity that interacts with both client and server applications to synthesize problem specifications and generate material designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If engineers use pre-existing materials for manufacturing parts, then the manufacturing process is simple and fast, but the material properties cannot satisfy specific design criteria
Solution Approach 1:
The system performs preliminary material design and simulation before actual manufacturing. Virtual prototypes of materials are created and tested in silico to predict properties, allowing engineers to identify suitable materials before committing to manufacturing, thus avoiding iterative redesign
Solution Approach 2:
The system creates virtual copies of materials through computational models and simulations. These digital twins allow prediction of material properties without physical experimentation, enabling virtual testing and optimization before actual material fabrication
2Adaptability or versatility
If engineers redesign parts repeatedly to match existing material properties, then compatibility with available materials is improved, but time and resources are wasted
Solution Approach 1:
Instead of adapting design to match existing materials, the system inverts the approach by determining what material properties are needed for the design and then designing or selecting materials to match those requirements. This reverses the traditional workflow from material-driven to design-driven material selection
Solution Approach 2:
The system uses computational algorithms to explore and optimize material parameters such as composition, microstructure, and processing conditions. By systematically varying these parameters in silico, the system identifies material formulations that precisely match the design requirements without physical trial and error
3Reliability
If custom materials are designed and fabricated to meet specific criteria, then material properties are optimized for the design, but manufacturing complexity increases
Solution Approach 1:
The system performs preliminary virtual fabrication and testing of custom materials before actual manufacturing. By simulating the fabrication process and material properties in advance, potential issues are identified and resolved digitally, simplifying the actual manufacturing process
Solution Approach 2:
The system introduces computational modeling and simulation as an intermediary between design requirements and physical material fabrication. This digital intermediary layer allows optimization and validation of custom material designs before committing to complex manufacturing processes
Data Source
AI summary
A design application is configured to determine design problem geometry and design criteria associated with a design problem to be solved. Based on this information, the design application identifies one or more design approaches to creating a custom material having specific material attributes needed to solve the design problem. The design application then executes the design approaches to create material designs that reflect one or more custom materials. With these designs as input, a manufacturing machine may then construct physical instances of those custom materials. A given custom material may have a unique combination of material attributes potentially not found among existing materials. Additionally, a design fabricated from a custom material may better satisfy the design criteria than a design fabricated from a known material.


