Journal article
Microstructure sensitive design for performance optimization
Progress in materials science, v 55(6), pp 477-562
01 Aug 2010
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. (C) 2009 Elsevier Ltd. All rights reserved.
Metrics
Details
- Title
- Microstructure sensitive design for performance optimization
- Creators
- David T. Fullwood - Brigham Young UniversityStephen R. Niezgoda - Drexel UniversityBrent L. Adams - Brigham Young UniversitySurya R. Kalidindi - Drexel University
- Publication Details
- Progress in materials science, v 55(6), pp 477-562
- Publisher
- Elsevier
- Number of pages
- 86
- Grant note
- Army Research Office National Science Foundation; National Science Foundation (NSF) ONR/DARPA; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA); Office of Naval Research
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Materials Science and Engineering
- Web of Science ID
- WOS:000277886200001
- Scopus ID
- 2-s2.0-77950865033
- Other Identifier
- 991021901313004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary