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Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

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Application-Specific Computational Materials Design via Multiscale Modeling and the Inductive Design Exploration

Brett D Ellis¹, David L McDowell^2,3

¹1Mechanical Engineering Technology, University of Maine, 5711 Boardman Hall, Orono, ME 04469 USA.

Integrating Materials and Manufacturing Innovation

|January 25, 2020

Summary

This summary is machine-generated.

This study introduces a systematic process for material development, linking process-structure-property-performance (PSPP) relations to accelerate innovation. It uses multiscale modeling and the Inductive Design Exploration Method (IDEM) to optimize material and structural designs under uncertainty.

Keywords:

Inductive design exploration method (IDEM)Multiscale modeling

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Area of Science:

Materials Science and Engineering
Computational Materials Design
Structural Engineering

Background:

Traditional material development is slow, costly, and relies heavily on intuition.
Existing methods struggle to efficiently explore the design space while meeting application demands.
Lack of systematic approaches hinders the rapid transition of materials from lab to market.

Purpose of the Study:

To establish a systematic process for linking process-structure-property-performance (PSPP) relationships.
To accelerate the material development lifecycle by optimizing the exploration of the material design space.
To demonstrate a method for designing materials and structures that meet specific performance requirements under uncertainty.

Main Methods:

Utilized hierarchical multiscale modeling (analytical and finite element) to establish bottom-up PSPP mappings.
Employed the Inductive Design Exploration Method (IDEM) for top-down decision support, accounting for uncertainty.
Integrated micro-, meso-, and macro-length scales across four hierarchical levels, considering seven design variables.

Main Results:

Successfully constructed and validated PSPP mappings for ultra-high-performance concrete and a blast-resistant structural panel.
Identified ranged sets of feasible design variable values using IDEM, robustly searching for optimal material and structural properties.
Demonstrated the ability to account for propagated uncertainty in the design process.

Conclusions:

The proposed systematic approach significantly accelerates material development by efficiently exploring the design space.
The integration of multiscale modeling and IDEM provides a robust framework for designing materials and structures with defined performance.
This methodology enables the optimization of designs for multiple objectives, such as minimizing mass and cost, while ensuring performance robustness.