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Microstructure Sensitive Design for Performance Optimization

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TLDR
This review presents the MSD framework in the context of both the engineering advances that have led to its creation, and those that complement or provide alternative methods for design of materials (meaning ‘optimization of material structure’ in this context).
Abstract
The accelerating rate at which new materials are appearing, and transforming the engineering world, only serves to emphasize the vast potential for novel material structure, and related performance. Microstructure-sensitive design (MSD) aims at providing inverse design methodologies that facilitate design of material internal structure for performance optimization. Spectral methods are applied across the structure, property and processing design spaces in order to compress the computational requirements for linkages between the spaces and enable inverse design. Research has focused mainly on anisotropic, polycrystalline materials, where control of local crystal orientation can result in a broad range of property combinations. This review presents the MSD framework in the context of both the engineering advances that have led to its creation, and those that complement or provide alternative methods for design of materials (meaning ‘optimization of material structure’ in this context). A variety of definitions for the structure of materials are presented, with an emphasis on correlation functions; and spectral methods are introduced for compact descriptions and efficient computations. The microstructure hull is defined as the design space for structure in the spectral framework. Reconstruction methods provide invertible links between statistical descriptions of structure, and deterministic instantiations. Subsequently, structure–property relations are reviewed, and again subjected to representation via spectral methods. The concept of a property closure is introduced as the design space for performance optimization, and methods for moving between the closures and hulls are presented as the basis for the subsequent discussion on microstructure design. Finally, the spectral framework is applied to deformation processes, and methodologies that facilitate process design are reviewed.

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References
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Journal ArticleDOI

Quantitative characterization of spatial clustering in three-dimensional microstructures using two-point correlation functions

TL;DR: In this article, an unbiased, efficient, and robust practical technique is presented for estimation of direction dependent as well as orientation averaged two-point correlation functions in 3D microstructures from the measurement performed on vertical metallographic planes.
Journal ArticleDOI

Classification and reconstruction of three-dimensional microstructures using support vector machines

TL;DR: Combination of classification methodology and principal component analysis for effective reduced-order representation of 3D microstructures is demonstrated and Amenability of the approach for studying microstructure–property relationships is shown by comparing the computed properties of reconstructedmicrostructures with available experimental results.
Journal ArticleDOI

Microstructure-sensitive design of a compliant beam

TL;DR: In this article, the authors considered polycrystalline microstructure as a continuous design variable and used a spectral representation space for the design of a compliant fixed-guided beam.
Journal ArticleDOI

Morphology and physical properties of Fontainebleau sandstone via a tomographic analysis

TL;DR: In this paper, a study of the morphology and bulk physical properties of a Fontainebleau sandstone via an X ray tomographic analysis is presented, where the authors extract from this image a number of different correlation functions that statistically characterize the porespace morphology and relevant pore-space length and time scales.
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Chord-length distribution function for two-phase random media

TL;DR: In this article, the authors derived exact series representations of the chord-length distribution function for media comprised of spheres with a polydispersivity in size for arbitrary space dimension D. For the special case of spatially uncorrelated spheres (i.e., fully penetrable spheres), the first moment of p(z) was determined.
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