Inscrição na biblioteca: Guest
International Journal for Multiscale Computational Engineering

Publicou 6 edições por ano

ISSN Imprimir: 1543-1649

ISSN On-line: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

Integration of Microstructure-Sensitive Design with Finite Element Methods: Elastic-Plastic Case Studies in FCC Polycrystals

Volume 5, Edição 3-4, 2007, pp. 261-272
DOI: 10.1615/IntJMultCompEng.v5.i3-4.80
Get accessGet access

RESUMO

A new mathematical framework called microstructure-sensitive design (MSD) was recently developed and demonstrated to facilitate solutions to inverse problems in microstructure design, where the goal is to identify the complete set of relevant microstructures (defined as statistical distributions) that are theoretically predicted to satisfy a set of designer-specified criteria on anisotropic macroscale properties and/or performance. In this article, we describe our efforts to interface the MSD framework with the finite element (FE) modeling tools used typically by the designers. This new MSD-FE framework facilitates a rigorous consideration of microstructure in a broad class of mechanical problems involving elastic-plastic design and optimization. The main elements of this newly developed MSD-FE framework are presented in this article, and their viability is demonstrated through two design case studies involving structural components made from FCC polycrystalline metals. The microstructure design variable in both these case studies is the orientation distribution function (ODF). The first case study involves the minimization of the elastic J-integral in the design of a cylindrical pressure vessel. The second case study involves the maximization of the load-carrying capacity of a thin plate with a central circular hole and loaded in-plane tension, while avoiding plastic deformation. In both these case studies, elementary upper bound theories were utilized in obtaining the macroscale properties of textured polycrystalline metal. It was observed that the elastic and plastic anisotropy associated with crystallographic texture influenced strongly the overall performance of the components.

CITADO POR
  1. Kalidindi Surya R., Knezevic Marko, Niezgoda Stephen, Shaffer Joshua, Representation of the orientation distribution function and computation of first-order elastic properties closures using discrete Fourier transforms, Acta Materialia, 57, 13, 2009. Crossref

  2. Fast Tony, Knezevic Marko, Kalidindi Surya R., Application of microstructure sensitive design to structural components produced from hexagonal polycrystalline metals, Computational Materials Science, 43, 2, 2008. Crossref

  3. References, in Microstructure Sensitive Design for Performance Optimization, 2013. Crossref

  4. Panchal Jitesh H., Kalidindi Surya R., McDowell David L., Key computational modeling issues in Integrated Computational Materials Engineering, Computer-Aided Design, 45, 1, 2013. Crossref

  5. Johnson Oliver K., Schuh Christopher A., The triple junction hull: Tools for grain boundary network design, Journal of the Mechanics and Physics of Solids, 69, 2014. Crossref

  6. Yabansu Yuksel C., Patel Dipen K., Kalidindi Surya R., Calibrated localization relationships for elastic response of polycrystalline aggregates, Acta Materialia, 81, 2014. Crossref

  7. Landry Nicholas, Knezevic Marko, Delineation of First-Order Elastic Property Closures for Hexagonal Metals Using Fast Fourier Transforms, Materials, 8, 9, 2015. Crossref

  8. Johnson Oliver K., Schuh Christopher A., Texture mediated grain boundary network design in two dimensions, Journal of Materials Research, 31, 9, 2016. Crossref

  9. Kalidindi Surya R., Fullwood David T., Adams Brent L., First-Order Microstructure Sensitive Design Based on Volume Fractions and Elementary Bounds, in Electron Backscatter Diffraction in Materials Science, 2009. Crossref

  10. Acar Pinar, A New Sampling Approach for the Multi-Scale Design of Metallic Materials, Journal of Mechanical Design, 142, 8, 2020. Crossref

  11. Salem Ayman A, Shaffer Joshua B, Satko Daniel P, Semiatin S Lee, Kalidindi Surya R, Workflow for integrating mesoscale heterogeneities in materials structure with process simulation of titanium alloys, Integrating Materials and Manufacturing Innovation, 3, 1, 2014. Crossref

  12. Arróyave Raymundo, McDowell David L., Systems Approaches to Materials Design: Past, Present, and Future, Annual Review of Materials Research, 49, 1, 2019. Crossref

  13. Montes de Oca Zapiain David, Lim Hojun, Park Taejoon, Pourboghrat Farhang, Predicting plastic anisotropy using crystal plasticity and Bayesian neural network surrogate models, Materials Science and Engineering: A, 833, 2022. Crossref

  14. Yabansu Yuksel C., Kalidindi Surya R., Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals, Acta Materialia, 94, 2015. Crossref

  15. Marki Russell E., Brindley Kyle A., McCabe Rodney J., Knezevic Marko, Crystal mechanics-based thermo-elastic constitutive modeling of orthorhombic uranium using generalized spherical harmonics and first-order bounding theories, Journal of Nuclear Materials, 560, 2022. Crossref

Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa Políticas de preços e assinaturas Begell House Contato Language English 中文 Русский Português German French Spain