Material Microstructure Modeling With Iterative Property Matching
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Solution Overview
Problem
Existing modeling and simulation methods for material microstructures, such as macroscale and mesoscale modeling, produce idealized structures that are not representative of real-world materials, and atomistic approaches are limited by system size and time scale.
Innovation Solution
An iterative and stochastic process is employed to generate chemically and physically realistic computer models of material microstructures, using beads to represent different sections of materials, with properties like porosity and tortuosity being computed and adjusted until desired specifications are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If macroscale modeling is used to model material microstructures, then the model can account for microstructure in a macroscale model, but the model produces idealized structures that are not representative of real-world materials
Solution Approach 1:
The model segments the material into discrete elements representing different microstructural features (solid matrix, pores, inclusions) rather than treating it as a continuous homogeneous medium. This segmentation allows the model to capture realistic microstructural complexity while maintaining macroscale applicability.
Solution Approach 2:
The model assigns different properties to different local regions within the material structure, allowing heterogeneous microstructural features to be represented accurately. Each element can have distinct properties corresponding to its local microstructural characteristic, enabling realistic representation of material heterogeneity.
2Adaptability or versatility
If mesoscale modeling with spherical particles is used, then the model provides a mesostructured approximation, but the model only has spherical particles which is a significant approximation
Solution Approach 1:
The model divides the material into discrete mesoscale elements that can represent complex geometries rather than using only spherical particles. This segmentation enables representation of realistic particle shapes, pore structures, and interfacial features while maintaining computational tractability at the mesoscale.
Solution Approach 2:
The model creates a composite representation combining multiple element types (solid, pore, interface) with different geometric characteristics to achieve realistic microstructural morphology. This composite approach allows spherical, irregular, and interconnected structures to coexist in a single model.
3Manufacturing precision
If atomistic approaches are used to generate microporous structure models, then detailed atomic-level structure can be achieved, but the treatable system size and time scale are limited
Solution Approach 1:
The model segments the atomic structure into mesoscale building blocks (particles, pores, aggregates) that retain essential structural characteristics but represent groups of atoms. This segmentation enables modeling of larger system volumes and longer time scales while preserving relevant microstructural features.
Solution Approach 2:
The model extracts essential microstructural features (porosity, tortuosity, phase distribution) from atomic-level descriptions and represents them at the mesoscale. This extraction allows the model to capture critical microstructural properties without requiring atomistic resolution throughout the entire system.
Data Source
AI summary
Embodiments generate computer based models, e.g., computer aided design (CAD) models, of materials. One such embodiment selects at least one section of a model representing a unit of a material. In turn, at least one physical or chemical property of the model is estimated based upon a proposed modification to the selected at least one section of the model and a proposed modification to a remainder of the model representing the unit of material. This selecting and estimating is iterated until the estimated at least one physical or chemical property conforms to a user specification of the at least one physical or chemical property. In this way, such an embodiment creates a model of a subject material that conforms to user specified physical and chemical properties.