Open AccessBook
Microstructure Sensitive Design for Performance Optimization
Reads0
Chats0
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.read more
Citations
More filters
Journal ArticleDOI
Towards strength–ductility synergy through the design of heterogeneous nanostructures in metals
TL;DR: In this paper, the authors review recent advances in overcoming this tradeoff, by purposely deploying heterogeneous nanostructures in an otherwise single-phase metal, and advocate this broad vision to help guide future innovations towards a synergy between high strength and high ductility.
Journal ArticleDOI
Key computational modeling issues in Integrated Computational Materials Engineering
TL;DR: Computational and information aspects of design of materials with hierarchical microstructures are explored and key underdeveloped elements essential to supporting ICME are identified.
Journal ArticleDOI
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Ramin Bostanabad,Yichi Zhang,Xiaolin Li,Tucker Kearney,L. Catherine Brinson,Daniel W. Apley,Wing Kam Liu,Wei Chen +7 more
TL;DR: A comprehensive review of representative approaches for MCR and elaborate on their algorithmic details, computational costs, and how they fit into the PSP mapping problems is provided.
Journal ArticleDOI
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets
Zijiang Yang,Yuksel C. Yabansu,Reda Al-Bahrani,Wei-keng Liao,Alok Choudhary,Surya R. Kalidindi,Ankit Agrawal +6 more
TL;DR: This work designs and implements a deep learning approach to model an elastic homogenization structure-property linkage in a high contrast composite material system and demonstrates that this end-to-end framework can predict the effective stiffness of high contrast elastic composites with a wide of range of microstructures, while exhibiting high accuracy and low computational cost for new evaluations.
Journal ArticleDOI
Bi-directional Evolutionary Structural Optimization on Advanced Structures and Materials: A Comprehensive Review
TL;DR: A comprehensive review on the development of evolutionary structural optimization (ESO) type methods, in particular the latest convergent and mesh-independent BESO method is highlighted by Huang and Xie as mentioned in this paper.
References
More filters
Normal-boundary intersection: an alternate method for generating pareto optimal points in multicriteria optimization problems
Indraneel Das,John E. Dennis +1 more
TL;DR: It can be rigorously proved that this method can be easily extended in case of more than two objectives while retaining the computational efficiency of continuation-type algorithms, which is an improvement over homotopy techniques for tracing the tradeoff curve.
Journal ArticleDOI
Inversion of Pole Figures for Materials Having Cubic Crystal Symmetry
TL;DR: In this article, the orientation distribution of all crystallites in the sample is deduced by a procedure described in a previous paper, in which the crystallite distribution function is expanded in a series of generalized Legendre functions.
Journal ArticleDOI
Variational treatment of the elastic constants of disordered materials
P. H. Dederichs,R. Zeller +1 more
TL;DR: In this paper, a variational principle is derived to obtain upper and lower bounds for the effective elastic constants of disordered materials, such as polycrystals or multiphase materials.
Journal ArticleDOI
Defectiveness of weighting method in multicriterion optimization of structures
TL;DR: In this article, two simple truss examples, one static and one dynamic problem, are presented to show that this situation easily occurs in optimum structural design also, and the weighting method may fail in generating the Pareto optimal set of a multicriterion problem in non-convex cases.
Related Papers (5)
Microstructure reconstructions from 2-point statistics using phase-recovery algorithms
Random Heterogeneous Materials: Microstructure and Macroscopic Properties
Salvatore Torquato,HW Haslach +1 more